We re Hiring: Forecasting Consultant at Chryselys Location: Chennai/Bangalore/Hyderabad Department: Analytics Job Type: Full Time Reports To: Associate Director About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Role Overview: We are seeking a highly motivated and analytical Pharma Commercial Forecasting Consultant to join our growing team. In this role, you will develop accurate and insightful forecasts to support strategic decision-making across the product lifecycle. You will leverage your expertise in market research, data analysis, and forecasting methodologies to assess market opportunities, develop long-term plans, and identify potential risks. Key Responsibilities: Market and Opportunity Assessments: Conduct Robust market and opportunity assessments to identify growth opportunities and market trends for product launches, portfolio management, and business development strategies. Forecasting Models: Develop and maintain robust forecasting models using methodologies such as time series analysis, analogy forecasting, and market sizing techniques. Experience with Python and SQL is a plus. Data Analysis: Utilize industry-standard databases (e.g., IQVIA) and internal data sources to analyse market trends, competitor activity, and customer behaviour. Sales Forecasts: Create accurate short-term and long-term sales forecasts to support budgeting, resource allocation, and operational planning, using a combination of qualitative and quantitative data. Scenario Planning: Participate in scenario planning and risk assessment exercises to identify potential roadblocks and develop mitigation strategies. Cross-Functional Collaboration: Collaborate with cross-functional teams to align forecasting models with business goals. Communication: Effectively communicate forecasting results through presentations and reports tailored to different stakeholder audiences. Process Improvement: Continuously monitor and improve forecasting methodologies and processes. Enhance and streamline routine processes through standardization and automation to increase efficiency and flexibility. Research Support: Provide support with secondary research and analysis; stay informed on the latest therapeutic research, clinical developments, and competitive landscape to inform forecasting activities. What You Bring: Experience: 5 -7 years of experience in the pharmaceutical or life science industry. Skills: Good understanding of pharma/oncology disease areas and indications. Strong technical skills and functional expertise in inline pipeline forecasting with specialized skills in creating models using epi and trend-based approaches. Ability to collaborate with internal and external stakeholders for diverse forecasting needs: Strategic/long range planning, budget/tactical planning, Sales Ops. Planning, Business Development Licensing etc. Strong analytical skills with experience in data analysis, manipulation, coding and visualization (experience with Python, Excel/VBA, Qlik/Tableau and SQL preferred). Good understanding of quintessential US, RE and Global pharma datasets for sales/Rx EPI. Experience with market research techniques and familiarity with market research tools and databases. Ability to independently work and deliver projects across brand life cycle. Passion and commitment to achieve results through individual excellence and collaboration. Strong problem solving, communication and customer orientation. Understanding of industry standard forecasting platforms, tools and technologies is a plus. Preferred Qualifications: Educational Qualifications: Bachelors degree in Statistics, Mathematics, Economics, Data Science, Engineering or a related field. This position offers an exciting opportunity to be part of a dynamic team dedicated to driving strategic decisions and growth in the pharmaceutical industry through advanced forecasting and data analysis. If you have the expertise and passion for forecasting and analytics, we invite you to apply and join our team at Chryselys. How to Apply: Ready to make an impactApply now by clicking [here] or visit our careers page at https: / / chryselys.com / chryselys-career / Please include your resume and a cover letter detailing why you re the perfect fit for this role. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

Role : Consultant - Inside Sales Reports to : Sr Director - New Business Development Profession : Inside Sales Office Location : Bangalore Job Description The Executive of Inside Sales will play a fundamental role in achieving our ambitious customer acquisition and revenue growth objectives. You must be comfortable making dozens of outreaches per day, working with several stakeholders, qualifying prospects, building strong pipeline. Responsibilities Responsible for bringing New Logos through Inside Sales. This includes strong market research, qualifying prospects and building strong pipelines. This will be accomplished by sourcing new sales opportunities through inbound lead follow-up and outbound emails. Understanding how customer needs and requirements align to internal capabilities. Routing qualified opportunities to the appropriate executive team member for further development and closure Research accounts within Pharma Biotech, Medical Device and identify key players and generate interest. Maintain and expand database of prospects, finding new contacts and targets for New Logos Qualifications Must have experience of 4+ years in inside sales, business development. MBA/PGDM candidates with background in Inside Sales Experience in Lead generation, Qualification, Prospecting, Negotiation, Market Research, and end-to-end sales. Excellent communication, negotiation interpersonal skills Extensive knowledge about Market Research, Database Development, handling tools like CRM (salesforce/HubSpot) is mandatory. Able to forecast quarterly/monthly pipeline to build GTM strategy for new Logo acquisition. Experience in Retail/CPG, Pharma/Biotech vertical and SaaS selling is an added advantage. Must be goal driven and self-motivated to achieve annual targets. Must be comfortable working with prospects located in US Europe

We re Hiring: Integrated Insights Consultant at Chryselys Location: Chennai/Bangalore/Hyderabad Department: Analytics Job Type: Full Time Reports To: Associate Director About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Role Overview: We are seeking a highly motivated and analytical Integrated Insights Consultant to join our growing team. In this role, you will provide high-quality insights to support business decisions, play a pivotal role in client delivery and thought leadership. Strong collaboration with global clients is essential. Key Responsibilities: Oversee and manage a team of offshore analysts, ensuring the delivery of high-quality integrated insights derived from market research, competitive intelligence, and real-world evidence (such as claims data, EMR, etc.). Develop and maintain strong relationships within the clients organization. Translate data into clear, concise, and compelling visuals and reports to effectively communicate insights to stakeholders. Cross reference insights across projects and create a comprehensive story generated by insights. Proactively identify new opportunities for Chryselys to engage with client. Quality check reports and summaries for both accuracy and relevancy. Effectively manage account. Manage and prioritize workload for the analytics team, ensuring timely delivery of projects. Present findings and recommendations to client and their stakeholders. Ensure team follows and adheres to Chryselys and client compliance policies. What You Bring: Experience: 4-6 years of experience in the pharmaceutical or life science industry. Skills: Hands on analytics experience with SQL/ R / SAS / Python, etc as well an understanding of analytics inputs from health care data such as ICD-9-CM, ICD-10-CM, SNOMED, LOINC, NDC, HCPCS, CPT. Experience in Pharma data such as Xponent, LAAD, EMR, etc. Strong analytical skills with expertise in: commercial analytics, Strong business acumen, Strong project management skills, primary market research. Provide thought leadership to clients. Recommend business solutions that drive better data driven decisions. Co-create integrated insights and analytics strategy with client. Recommend ways to leveraging clients existing assets to generate actionable insights. Be a strategic partner to Chryselys clients. Identify opportunities to deliver impactful solutions to client. Preferred Qualifications: Educational Qualifications: Masters/ bachelor s degree in Life Sciences. MBA from reputed institutes. This position offers an exciting opportunity to be part of a dynamic team dedicated to driving strategic decisions and growth in the pharmaceutical industry through advanced Insights and data analysis. If you have the expertise and passion for Integrated Insights and analytics, we invite you to apply and join our team at Chryselys. How to Apply: Ready to make an impactApply now by clicking [here] or visit our careers page at https: / / chryselys.com / chryselys-career / Please include your resume and a cover letter detailing why you re the perfect fit for this role. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

The Associate will provide integral support to our ongoing client projects. Data Insights Analyst will leverage standard pharma industry datasets - Sales, claims, Payer datasets from IQVIA, Symphony and Veeva etc to synthesize key insights to provide strategic recommendations and implications, as appropriate. A successful candidate should have experience in the biopharma and/or healthcare industry, a background in data analysis and managing data integration projects, a proactive mindset, and a demonstrated track record of generating impactful insights for clients. Successful candidate should be capable of building data pipelines and Business Intelligence reports on Data Lake architecture combining several data sets to enable performing univariate and multivariate analysis. This includes data integration, harmonization and transforming raw data into curated datasets for Data / BI Analytics. On the tools side, The successful candidate should possess a strong background in a complex data processing environment using SQL platforms (like Redshift, Athena, Snowflake etc), Python/Jupyter Notebooks ( SageMaker etc) and Business Intelligence tools such as Tableau, Qlik, Quicksight. Key Responsibilities: Analyze Pharma datasets like IQVIA, Symphony, Veeva and Open data using SQL and cloud based data analytics tools to provide insights that solve client problems Synthesize and form recommendations using data visualization tools (QuickSight, Tableau, ThoughtSpot, etc) and PowerPoint slides Analyze new requests for data, identifying the appropriate datasets, and generating database queries and summary data outputs for stakeholders Provide findings and final recommendations to client via written communication and formal presentations Understand client business issues, operating business rules, data and standard operating procedures What You Bring: Education: Bachelors or masters degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as finance, applied mathematics, management science, data science, statistics, econometrics or engineering Experience: 1-3 years of previous experience working with key pharmaceutical/biotechnology data sets like Sales, Claims,Payer and other secondary data. Skills: Extensive experience in building data pipelines, Data Lake architecture using AWS services Redshift,Athena, S3 . Must be proficient in Python and SQL Demonstrated experience with data processing, data analysis, profiling, data cleansing and standardization process Build data stories and visualization using Business Intelligence tools such as Tableau, Qlik, Quicksight etc Excellent advanced SQL and analytical skills to query databases to perform data analysis to further enhance business analysis. Ability to demonstrate strong Microsoft Excel skills, including Pivots and macros Ability to work independently and collaborate with colleagues to accomplish team goals and deadlines Advanced problem-solving skills and build / elevate internal capabilities; Ability to adapt quickly in a constantly changing environment.

About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Job Summary: We are looking for a Market Access Data Analytics Subject Matter Expert (SME) with 4 to 6 years of experience in the pharmaceutical domain. The ideal candidate will have direct experience with Market Access Contract Analytics, forecasting, pricing analysis, and distributor contract analysis. Key Responsibilities: Market Access Horizon Scan: Perform horizon scans to identify emerging trends and potential opportunities or threats in the market access landscape. Experience in HEOR and RWD is advantageous. Continuously develop a strong understanding of the market access space and expertise in specific domains as required. Pricing and Reimbursement Assessment: Conduct detailed assessments of pricing and reimbursement landscapes for pharmaceutical and healthcare products. Health Plan and Formulary Analysis: Evaluate health plans to understand coverage policies and their impact on market access. Analyze and interpret formulary data to provide actionable insights for product market access strategies. Perform Forecasting analysis for distinct types of contracts that include Pharmacy Benefit Managers, Specialty Pharmacies, Group Purchasing Organizations, Hospitals, IDN customers, Long Term Care Organizations, 3PLs, Distributors and Wholesalers using Prescription Claims data, Reimbursement data, Distributor data and any other relevant data sources. Lead and Collaborate with Key Customer discussions across Channel Trade Relations, Contract Operations, and Patient Services to present the business cases for review and approvals. Project Management: Manage and execute projects adhering to timelines and deliverables. Coordinate with internal and external stakeholders to understand research and analysis requirements, and address data gaps. Demonstrate complete ownership of assigned tasks and projects, ensuring their successful completion. Strong organizational, analytical, problem solving, planning, and decision-making skills. Strong understanding of the pharmaceutical industry and market access landscape across Oncology, Immunology, Neurology and Rare Disease areas. Ability to work independently and collaboratively in a challenging environment. Strong Excel and PowerPoint technical and content strategy skills. Ability to present to, interact with, and support senior level stakeholders. Excellent verbal and written communication skills, with the ability to present complex information clearly and effectively in internal and client meetings. Develop high-quality, error-free deliverables with great diligence, ensuring comprehensive and insightful analysis. Contribute to Advanced Analytics innovation, Product features, conduct training sessions with team members to support skill development. Provide thoughtful leadership and support proposal efforts with guidance from senior leadership. Required Skills Experience: 3 to 5 years of experience in Market Access Contracting analytics, Commercial Analytics, and data visualization, specifically in the pharma/healthcare domain. Deep understanding of PBM, GPO, Distribution data sources, provider affiliations, specialty mappings, and commercial pharma datasets. Strong SQL skills for data querying, data cleansing, visualization, and analysis. Exposure to cloud-based data analytics platforms (AWS, Snowflake, Dataiku). Experience in data analysis and forecasting, AI/ML-driven model creation and deployment, and data validation techniques across multiple data sources. Excellent communication and stakeholder management skills to interact with business and IT teams. Preferred Qualifications: Bachelor s or master s degree Experience with IQVIA Xponent Track, Symphony Health, Komodo Claims, Chargeback data, EHR_Datasets or other pharma data providers. Why Join Us Work on Advanced Analytical techniques using AI/ML in the Market Access functions for the pharmaceutical domain with industry-leading tools. Collaborate with Global and US teams to advance Market Access Contracting and Patient Analytics. Opportunity to drive AI/ML-based innovations in Market Access Analytics. Competitive salary, learning opportunities, and a dynamic work environment Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Network Infrastructure Management: Good understanding of LAN, WAN and Internet Links. Acting as technical project leader Configure, maintain, and monitor LAN, WAN, VPN and wireless devices. Maintenance of network switches, cabling and racks in server room. Management of network hardware such as switches, firewalls, UTM, and wireless network. Content Filtering, security policies and patching for protection of network from cyber-attack. Knowledge of plugging the gaps found in Vulnerability Assessment. Compliance with company s Information Security policies. Manage Internet link failover between primary and secondary links. Network Performance Monitoring: Use network monitoring tools to proactively track network performance, identify potential issues, and optimize network bandwidth. Ensure network devices and systems are properly maintained, patched, and upgraded as needed. Documentation: Maintain up-to-date network diagrams (Low Level and High Level), configuration records, and technical documentation. Record and prepare regular reports on network performance, outages, and incident responses under Incident Management. Maintain accurate and up-to-date policy and procedure documentation whenever there is a change. Follow Change Management System to make any changes in the infrastructure. Create and update user guides and technical documentation as needed. Develop IT SOPs. Incident Management : Recording and solving all the IT incidents within agreed OLA. Share monthly reports of incidents with management. Isolate security and general incidents and maintain lesion learned. Log a ticket to support provider and get the technical problem resolved. End User Support : Install, configure and troubleshoot Windows operating systems, applications like Windows, email, Teams, OneDrive etc. and hardware related problems. Help users to setup Company Portal (Intune) on their mobile phone under Mobile Device Management (Android and iOS). Azure Entra AD and Office 365 : Good hands-on experience of Office 365 administration, including Exchange Online, SharePoint Online, Defender and Microsoft Intune MDM. Knowledge of Azure Active Directory (Azure AD). Knowledge of Windows server and troubleshooting. Information Security Management System: Knowledge ISO27001 related policies and procedures. Able to perform activities according to company policies and procedures. Coordination with Vendors: Work closely with the service providers like ISPs, network vendor to resolve complex network issues. Work with third-party vendors and OEMs to resolve hardware and software issues, manage warranties and support. Help end users to get support on laptop from manufacturers. Escalate the problem with vendor when required. Asset Management : Keeping track and record of all the IT assets (hardware, software and subscriptions). Assigning asset to users and taking back when they resign. Keep record of warranty of hardware and bring to notice of management to extend the warranty. Education and Experience: Bachelor s degree in computer science, Information Technology or a related field is preferred. Microsoft 365 Administrator certification is preferred. 8-10 years of experience in relevant technology. Good written, communication and interpersonal skills. Ability to professionally deal with end users. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com Chryselys | LinkedIn

We re Hiring: Consultant - Insights Analytics at Chryselys Location: Hyderabad Department: Insights Analytics Job Type: Full-time Reports To: Manager About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Role Overview: As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges. Key Responsibilities: Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights. Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources. Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.). Collaborate with cross-functional teams to translate business problems into data science solutions. Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients. Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling. Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions. Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects. What You Bring: Education: Bachelors or masters degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record. Experience: 5-7 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data. Skills: Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas. Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker. Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar. Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis. Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment. Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders. A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment. How to Apply: Ready to make an impactApply now by clicking [here] or visit our careers page at https: / / chryselys.com / chryselys-career / Please include your resume and a cover letter detailing why you re the perfect fit for this role. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Responsibilities : Design, configure, and develop data quality rules, workflows, and transformations using Ataccama ONE. Implement data profiling, cleansing, and standardization processes to improve data accuracy and consistency. Define and enforce data quality KPIs (completeness, accuracy, consistency, integrity). Monitor and troubleshoot data quality issues, recommending improvements and optimizations. Automate data quality monitoring and remediation workflows using AI/ML-based anomaly detection. Skills required: 2+ years of experience with Ataccama ONE Data Quality Suite Good understanding of end to end data quality process Strong SQL skills for data extraction, transformation, and validation. Experience in data profiling, cleansing, and deduplication using Ataccama. Knowledge of ETL tools will be added advance Understanding of Pharma domain will be desired Good communication and stakeholder management skills. Ability to work with diverse stakeholders Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Roles Responsibilities : We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines . Integration of data from multiple sources or vendors to provide the holistic insights from data. You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc. Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues. Should have experience in client interaction. Experience in mentoring juniors and providing required guidance. Required Technical Skills Extensive experience in Python, Pyspark, SQL . Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database. Must be proficient in Databricks , Redshift, ADF etc. Hands-on experience in cloud services like Azure/ AWS S3, Glue, Lambda, CloudWatch, Athena. Sound knowledge in Data operations, quality and data governance. Knowledge of SFDC, Waterfall/ Agile methodology. Strong knowledge of Pharma domain / life sciences commercial data operations. Qualifications Bachelor s or master s Engineering/ MCA or equivalent degree. 5-7 years of relevant industry experience as Data Engineer . Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc. High motivation, good work ethic, maturity, self-organized and personal initiative. Ability to work collaboratively and providing the support to the team. Excellent written and verbal communication skills. Strong analytical and problem-solving skills. Location Preferably Hyderabad, India Working Conditions: This role typically requires a standard work schedule, but flexibility may be needed to address urgent issues or support after-hours maintenance. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com Chryselys | LinkedIn

We re Hiring: Senior Associate - Insights Analytics at Chryselys Location: Hyderabad Department: Insights Analytics Job Type: Full-time Reports To: Manager About Us: Chryselys is a Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights. Who we are: People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies. Quality - Our goal is to deliver the value of a big five consulting company without the big five cost. Technology - Our solutions are Business centric built on cloud native technologies. Role Overview: The Senior Associate will provide integral support to our ongoing client projects. Data Insights Analyst will leverage standard pharma industry datasets - Sales, claims, Payer datasets from IQVIA, Symphony and Veeva etc. to synthesize key insights to provide strategic recommendations and implications, as appropriate. A successful candidate should have experience in the biopharma and/or healthcare industry, a background in data analysis and managing data integration projects, a proactive mindset, and a demonstrated track record of generating impactful insights for clients. Successful candidate should be capable of building data pipelines and Business Intelligence reports on Data Lake architecture combining several data sets to enable performing univariate and multivariate analysis. This includes data integration, harmonization and transforming raw data into curated datasets for Data / BI Analytics. On the tools side, The successful candidate should possess a strong background in a complex data processing environment using SQL platforms (like Redshift, Athena, Snowflake etc), Python/Jupyter Notebooks ( SageMaker etc) and Business Intelligence tools such as Tableau, Qlik, Quicksight. Key Responsibilities: Analyze Pharma datasets like IQVIA, Symphony, Veeva and Open data using SQL and cloud based data analytics tools to provide insights that solve client problems Synthesize and form recommendations using data visualization tools (QuickSight, Tableau, ThoughtSpot, etc.) and PowerPoint slides Analyze new requests for data, identifying the appropriate datasets, and generating database queries and summary data outputs for stakeholders Provide findings and final recommendations to client via written communication and formal presentations Understand client business issues, operating business rules, data and standard operating procedures What You Bring: Education: Bachelors or masters degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as finance, applied mathematics, management science, data science, statistics, econometrics or engineering Experience: 3-5 years of previous experience working with key pharmaceutical/biotechnology data sets like Sales, Claims, Payer and other secondary data. Skills: Extensive experience in building data pipelines, Data Lake architecture using AWS services Redshift,Athena, S3 . Must be proficient in Python and SQL Demonstrated experience with data processing, data analysis, profiling, data cleansing and standardization process Build data stories and visualization using Business Intelligence tools such as Tableau, Qlik, Quicksight etc. Excellent advanced SQL and analytical skills to query databases to perform data analysis to further enhance business analysis. Ability to demonstrate strong Microsoft Excel skills, including Pivots and macros Ability to work independently and collaborate with colleagues to accomplish team goals and deadlines Advanced problem-solving skills and build / elevate internal capabilities; Ability to adapt quickly in a constantly changing environment. How to Apply: Ready to make an impactApply now by clicking [here] or visit our careers page at https: / / chryselys.com / chryselys-career / Please include your resume and a cover letter detailing why you re the perfect fit for this role. Equal Employment Opportunity: Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Connect with Us: Follow us for updates and more opportunities: https: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com

Job Description Job Description for Consultant - Data Engineer Key Responsibilities and Core Competencies: You will be responsible for managing and delivering multiple Pharma projects. Leading a team of atleast 8 members, resolving their technical and business related problems and other queries. Responsible for client interaction; requirements gathering, creating required documents, development, quality assurance of the deliverables. Good collaboration with onshore and Senior folks. Should have fair understanding of Data Capabilities (Data Management, Data Quality, Master and Reference Data). Exposure to Project management methodologies including Agile and Waterfall. Experience working in RFPs would be a plus. Required Technical Skills: Proficient in Python, Pyspark, SQL Extensive hands-on experience in big data processing and cloud technologies like AWS and Azure services, Databricks etc . Strong experience working with cloud data warehouses like Snowflake, Redshift, Azure etc. Good experience in ETL, Data Modelling, building ETL Pipelines. Conceptual knowledge of Relational database technologies, Data Lake, Lake Houses etc. Sound knowledge in Data operations, quality and data governance. Preferred Qualifications: Bachelor s or master s Engineering/ MCA or equivalent degree. 7-9 years of experience as Data Engineer , with atleast 2 years in managing medium to large scale programs. Minimum 5 years of Pharma and Life Science domain exposure in IQVIA, Veeva, Symphony, IMS etc. High motivation, good work ethic, maturity, self-organized and personal initiative. Ability to work collaboratively and providing the support to the team. Excellent written and verbal communication skills. Strong analytical and problem-solving skills. Location Preferably Hyderabad, India About Us Chryselys is a US based Pharma Analytics Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations. Chryselys was founded in the heart of US Silicon Valley in November 2019 with the vision of delivering high-value business consulting, solutions, and services to clients in the healthcare and life sciences space. We are trusted partners for organizations that seek to achieve high-impact transformations and reach their higher-purpose mission. Chryselys India supports our global clients to achieve high-impact transformations and reach their higher-purpose mission. Please visit https: / / www.linkedin.com / company / chryselys / mycompany / https://chryselys.com/ for more details.

Job DescriptionJob Description - Sr. Data Engineer Roles Responsibilities : We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines. Integration of data from multiple sources or vendors to provide the holistic insights from data. You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc. Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues. Should have experience in client interaction. Experience in mentoring juniors and providing required guidance. Required Technical Skills Extensive experience in Python, Pyspark, SQL. Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database. Must be proficient in Databricks, Redshift, ADF etc. Hands-on experience in cloud services like Azure/ AWS S3, Glue, Lambda, CloudWatch, Athena. Sound knowledge in Data operations, quality and data governance. Knowledge of SFDC, Waterfall/ Agile methodology. Strong knowledge of Pharma domain/ life sciences commercial data operations. Qualifications Bachelor s or master s Engineering/ MCA or equivalent degree. 4-6 years of relevant industry experience as Data Engineer. Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc. High motivation, good work ethic, maturity, self-organized and personal initiative. Ability to work collaboratively and providing the support to the team. Excellent written and verbal communication skills. Strong analytical and problem-solving skills. Location Preferably Hyderabad, India

Key Responsibilities and Core Competencies:You will be responsible for managing and delivering multiple Pharma projects.Leading a team of atleast 8 members, resolving their technical and business related problems and other queries.Responsible for client interaction; requirements gathering, creating required documents, development, quality assurance of the deliverables.Good collaboration with onshore and Senior folks.Should have fair understanding of Data Capabilities (Data Management, Data Quality, Master and Reference Data).Exposure to Project management methodologies including Agile and Waterfall.Experience working in RFPs would be a plus.Required Technical Skills:Proficient in Python, Pyspark, SQLExtensive hands-on experience in big data processing and cloud technologies like AWS and Azure services, Databricks etc.Strong experience working with cloud data warehouses like Snowflake, Redshift, Azure etc.Good experience in ETL, Data Modelling, building ETL Pipelines.Conceptual knowledge of Relational database technologies, Data Lake, Lake Houses etc.Sound knowledge in Data operations, quality and data governance.Preferred Qualifications:Bachelors or masters Engineering/ MCA or equivalent degree.7-9 years of experience as Data Engineer, with atleast 2 years in managing medium to large scale programs.Minimum 5 years of Pharma and Life Science domain exposure in IQVIA, Veeva, Symphony, IMS etc.High motivation, good work ethic, maturity, self-organized and personal initiative.Ability to work collaboratively and providing the support to the team.Excellent written and verbal communication skills.Strong analytical and problem-solving skills.

Roles & Responsibilities : Conduct consulting engagements related to data assessment, priority definition and roadmap creation. Define key offerings in Data Management areas including - Data Quality, Data Catalog, Data Lineage and Data Governance Spearhead DQ related offerings (including Data Anomaly, Data Observability) and deliveries. Define the framework for Data Strategy related assignments. Spearhead Data Products / Solutions working closely with Analytics or GenAI areas. Extensively support RFI/RFP/ Client presentations and PoV creation Help strategic and operational goals by Contributing to winning pitches Contributing to high impact project. & prod. Co-lead shift in engagement model (T&M to Impact) Manage client expectations via Thought leadership and innovation. Build high value / high impact expertise and consulting offerings. Help improve functional expertise in capability teams. Required Qualification Bachelor s or master s Engineering or equivalent degree, MBA preferred. Having around 14+ years of experience in Pharma and Data Management area Should have managed multiple data advisory projects. Sound knowledge in end-to-end data management concepts including data quality and data governance. Strong knowledge of Pharma domain/ life sciences commercial data areas Understanding of key tools / platforms e.g., AWS, Reltio, Snowflake etc. will be an added advantage. Experience of handing a small team will be preferred. High motivation, excellent work ethic, maturity, self-organized and personal initiative. Ability to work collaboratively and providing the support to the team. Excellent written and verbal communication skills Location Preferably Hyderabad, India

As a Field Force Operations Consultant at Chryselys, you will leverage your expertise in commercial model design, sales force sizing, territory alignment, and deployment to optimize field force operations and processes. You will work closely with cross-functional teams, including client stakeholders and analytics experts, to define execution KPIs, maximize sales impact, and deliver actionable insights through advanced reporting and dashboards. Your role will also involve segmentation and targeting, incentive compensation processes, and planning for call activities and non-personal promotions. With hands-on experience in tools like Qlik, Power BI, and Tableau, along with technologies such as SQL, you will ensure impactful storytelling and effective stakeholder management while supporting clients across the U.S. and Europe. Key Responsibilities: Capabilities and experience in field force operations and processes related to commercial model design and structure, sales force sizing and optimization, Territory alignment and deployment Good understanding of commercial operations and analytics as a domain Expertise with SF/FF datasets for creating dashboards and reports for multiple user personas Ability to define FF execution and measurement KPIs to maximize sales impact Understanding and expertise in call activity planning, non-personal promotions Good knowledge of segmentation & targeting and incentive compensation processes Hands-on experience with tools like Qlik/Power BI/Tableau and technologies like Python/SQL Stakeholder management abilities and storytelling skills Experience in working with pharma clients across US and Europe What You Bring: Education: Bachelors or masters degree in data science, statistics, computer science, engineering, or a related field with a strong academic record. Experience: 5-7 years of experience in field force operations, particularly in the pharmaceutical or healthcare industry, working with key datasets