Job Description_ Data Engineer _ TransOrg AnalyticsWhy would you like to join us?TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Responsibilities:Design, develop, and maintain robust data pipelines using Azure Data Factory and Databricks workflows.Develop an integrated data solution in Snowflake to unify data.Implement and manage big data solutions using Azure Databricks.Design and maintain relational databases using Azure Delta Lake.Ensure data quality and integrity through rigorous testing and validation.Monitor and troubleshoot data pipelines and workflows to ensure seamless operation.Implement data security and compliance measures in line with industry standards.Continuously improve data infrastructure (including CI/CD) for scalability and performance.Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into Snowflake.Utilize ETL tools (e.g., ADF, Talend) to automate and manage data workflows.Develop and maintain CI/CD pipelines using GitHub and Jenkins for automated deployment of data models and ETL processes.Monitor and troubleshoot pipeline issues to ensure smooth deployment and integration.Design and implement scalable and efficient data models in Snowflake.Optimize data structures for performance and storage efficiency.Collaborate with stakeholders to understand data requirements and ensure data integrityIntegrate multiple data sources to create data lake/data mart Perform data ingestion and ETL processes using SQL, Scoop, Spark or HiveMonitor job performances, manage file system/disk-space, cluster & database connectivity, log files, manage backup/security and troubleshoot various user issuesDesign, implement, test and document performance benchmarking strategy for platforms as well as for different use casesSetup, administer, monitor, tune, optimize and govern large scale implementationsDrive customer communication during critical events and participate/lead various operational improvement initiativesQualifications, Skill Set and competencies:Bachelor's in Computer Science, Engineering, Statistics, Maths or related quantitative degree.2 - 5 years of relevant experience in data engineering.Must have worked on any of the cloud engineering platforms - AWS, Azure, GCP, ClouderaProven experience as a Data Engineer with a focus on Azure cloud technologies/Snowflake.Strong proficiency in Azure Data Factory, Azure Databricks, ADLS, and Azure SQL Database.Experience with big data processing frameworks like Apache Spark.Expert level proficiency in SQL and experience with data modeling and database design.Knowledge of data warehousing concepts and ETL processes.Strong focus on PySpark, Scala and Pandas.Proficiency in Python programming and experience with other data processing frameworks.Solid understanding of networking concepts and Azure networking solutions.Strong problem-solving skills and attention to detail.Excellent communication and collaboration skills.Azure Data Engineer certification AZ-900 and DP-203 (Good to have)Familiarity with DevOps practices and tools for CI/CD in data engineering.Certification: MS Azure / DBR Data Engineer (Good to have)Data Ingestion - Coding & automating ETL pipelines, both batching & streaming. Should have worked on both ETL or ELT methodologies using any of traditional & new age tech stack- SSIS, Informatica, Databricks, Talend, Glue, DMS, ADF, Spark, Kafka, Storm, Flink etc.Data transformation - Experience working with MPPs, big data & distributed computing frameworks on cloud or cloud agnostic tech stack- Databricks, EMR, Hadoop, DBT, Spark etc,Data storage - Experience working on data lakes, lakehouse architecture- S3, ADLS, Blob, HDFS DWH - Strong experience modelling & implementing DWHing on tech like Redshift, Snowflake, Azure Synapse, Bigquery, HiveOrchestration & lineage - Airflow, Oozie etc.

Title: Analytics Sales Manager GCCs & Large EnterprisesFull-time/Part-time: Full-timeLocation: Gurgaon/Mumbai/Bangalore About TransOrg AnalyticsTransOrg Analytics, an award winning Big Data and Predictive analytics company, offers advanced analytics solutions and services to industry leaders and Fortune 500 companies across India, North America, APAC, and the Middle East. Visit www.transorg.com for details. You are expected to independently identify, connect with, qualify, and close deals with prospective GCCs (Global Captive Centers), large corporates, enterprise clients across top industries including banking, financial services, insurance, hospitality, CPG, retail, ecommerce, aviation, and other sectors in India requiring frequent travel. This will include building business with both India-operating teams and their GCC (global back offices of data science/analytics) situated in India of such clients.At TransOrg you will be collaborating with the in-house sales and marketing team based in India along with vertical heads/technical SMEs in in selling our advanced analytics solutions to top decision makers (CXOs, HODs, VPs, SVPs, Directors etc.) of target companies in one or more of our target industries such as banking, financial services, insurance (BFSI), consumer products, hospitality, aviation, telecom and across key functions such as customer acquisition, customer engagement (cross-sell, up-sell, CTLV), customer success, retention, fraud, risks, underwriting, collections, marketing, operations, strategy, sales, revenues, demand forecasting, trade promotion optimization. Our range of services and solutions span across advanced analytics, machine learning, data science, big data engineering, big data analytics, artificial intelligence, generative AI, adversarial AI, and BI/dashboards. We are looking for an enterprising, energetic, and independent sales professional specializing in consultative selling and solution selling in data science, advanced analytics, ML and AI services to India-based large corporate client accounts (to both India-focused teams & GCCs/global back offices). You will work independently and with the business development team in generating qualified leads of large-scale big-ticket sales opportunities in top corporates and enterprises in India. You will own end-to-end sales funnel from lead generation to closure of your own leads and sales opportunities. Every quarter there will be a mutually discussed sales quota which you must meet or exceed and for that you must come on-board with a 30-60-90 days sales plan to create a strong sales pipeline. 1. Research, understand, explore, and identify potential contacts for sales opportunities in the target industries mentioned above Identify market segments which may be a combination of industry, geography, and functions as explained above Research and understand prospective clients business models, their competitive landscape, their industries, and their own companys analytics maturity (in-house vs. vendors), their advanced analytics solution requirements/pain points/problems/ analytics gaps/opportunity/interest areas and their readiness to work with outsource vendors for data engineering and data science resourcesConduct a needs-gap analysis of target markets, scout for new business opportunities and conduct prospecting and lead qualifying on prospective clients via outbound emails, LinkedIn, cold calling, in-person meetings, and networking at major industry eventsIdentify top use cases in advanced analytics, predictive modeling that prospects may be looking solutions forIndependently source, front-end, nurture, cultivate, manage, and lead prospecting calls and meetings with senior decision makers (CXOs, HODs, VPs, SVPs, Directors etc.) across key functionsIdentify and connect with the decision-making layer (typically executive and CXO level but also in-house data science/analytics/functional and/or departmental heads) at each target/prospective client account for pitching advanced analytics projects requires personalized emailing, LinkedIn, physical/F2F meetings, calls, virtual meetupsWork together with the marketing teams (shared resources) to effectively map a brand building, lead nurturing, contact and outreach strategyLead discussions present case studies, defend strategies, overcome sales objections2. Present and defend sales pitches, case studies, and solution proposals to prospective clients by working with TransOrgs:Technical SMEs in resolving all technical & commercial sales objections and CEO/VP Sales (basis deal size) in resolving legal & commercial objections 3. Stay up to date with and continuously monitor emerging top industry trends and shifts in ML, AI, and advanced analytics in the target industries and identify & track significant large-scale or niche competitors to create a differentiated sales approach 4. Basis the needs-gap” analysis of target markets that is explained in point 1 above coordinate with TransOrg’s internal technical SMEs to develop and update different kinds of solutions / services and prepare related sales collaterals such as pitch decks, case studies, white papers, demos etc.5. Identify and participate in networking events, conferences, webinars etc. in India for sales pipeline building, relationship nurturing with target contacts and competitive landscaping Skills and expertise 1. At least 8 years of experience in sourcing and closing sales to GCCs, large enterprise, and corporate B2B ‘data science and analytics services’ deals in India is a must2. Demonstrated experience in sales qualification of analytics services leads and winning large deals in this space3. Able to understand prospective customer needs and find a solution. “Customer First” approach and an ability to make a positive impact on every interaction, able to understand prospective customer needs and propose relevant solution4. Able to anchor and lead all prospective clients’ calls and meetings to showcase and deliver presentations, sales pitches, solution demonstrations, proposals & RFP/RFI responses5. Interpersonal effectiveness and ability to influence; use data, insights from your own research, client interaction and logic to convince others, articulate with conviction6. BTech/BSc with an MBA in marketing and/or strategy preferred7. Possess business maturity and top-level fundamental understanding of:a) Advanced analytics, data science, machine learning, AI, generative AIb) Indian BFSI, CPG, retail, ecommerce, aviation, telecom, hospitality, and related industries, their org chart/hierarchyc) Sound knowledge of top business functions/departments and their top business use cases/interest areas/problem statements such as customer, marketing, risk, frauds, underwriting, claims, demand planning, trade marketing, supply chain etc. d) Excellent understanding of navigating org charts of large GCCs to identify and engage with key decision makers in analytics spending 8. Confident with excellent people interaction and customer relationship building skills9. Excellent oral and written communication and negotiation skills 10. Self-motivated and a go-getter with independent thinking skills11. Multi-tasker and able to prioritize and manage own workload and responsibilities12. Good sense of humour and able to work in an unstructured and fast paced environment13. Able to frequently travel across India to interface with client audiences 14. Maintain all records of customer communications, interactions, and sales activity in LMS/CRM

Why would you like to join us?TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses.Visit at www.transorg.com to know more about us.What do we expect from you?- Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software.- Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks.- Complex statistical concepts are explained in a way that clients can understand and advice on strategy.- Overall data analytics strategy and business development.- Responsible for providing thought leadership and support to the team to develop best in class analytics solutions for clients.- Responsible for managing existing relationships with multiple clients in various industries.- Responsible for working closely with the senior management in developing and implementing strategic plans.Team Development:- Manage a team of data Scientists. Lead team members, including personal development and set work direction.- Lead team members, including personal development and set work direction.- Group development by building expertise in new domains and processes.- Coaching and mentoring team members.- Responsible for productivity, utilization and quality of output of the group.- Development of training modules and imparting training to the group.Project Delivery:- Lead analytics engagements and responsible for delivering the analytics solutions required across multiple clients & projects.- Provide thought leadership in a number of areas, including predictive modeling, customer segmentation, reporting & analysis, data processing and cleansing.- Demonstrate strong functional expertise by providing content leadership on projects.- Hands-on experience in implementing machine-learning algorithms.- Improve existing delivery processes and lead automation where applicable.What are we looking for?- Bachelor's in Computer Science/ Engineering, Statistics, Math or any other relevant degree.- 6-9 years of total experience with at least 3+ yrs. of relevant experience in data science/technical experience.- Experience on multiple modeling techniques -Logistic Regression, Linear Regression, Random Forest, Boosting, Neural Networks etc.- Hands-on experience with Python and SQL is a must.- Experience with data visualization tools like Tableau or Power BI.- Team and client management experience.- Experience of stakeholder management- Experience in working with unstructured data and text analytics.- Must have a passion for data, structured and unstructured.- Should have sound experience in data mining and data analysis.Good presentation skills.-Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables-Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights.- Excellent communication skills, both verbal and written.-Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) -Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)

Job Description UI/UX Designer Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Experience: 3-5 yearsLocation: GurugramRoles and ResponsibilitiesUser Research & Analysis: Conduct user research to understand user needs, behaviours, and pain points. Develop personas, journey maps, and experience maps.Enterprise-Level Design: Create high-fidelity prototypes, wireframes, information architecture diagrams, mental models, usability testing stimulus, and user journey maps.Design & Prototyping: Develop functional and visually compelling designs using Figma while ensuring consistency across products.Usability Testing & Iteration: Conduct usability testing, analyse feedback, and refine designs to improve user experience.Collaboration & Communication: Work closely with product managers, developers, and stakeholders to align design with business and technical requirements.Design Systems & Accessibility: Maintain and contribute to the design system, ensuring accessibility compliance and UX best practices.Project & Time Management: Effectively manage multiple projects, follow directions, and deliver results independently and collaboratively.Industry Best Practices: Stay up to date with UX/UI trends, tools, and methodologies to continuously enhance the design process.What Were Looking For:Mandatory SkillsDesign Tools: Expert-level proficiency in Figma (mandatory), plus familiarity with Photoshop, Illustrator, Invision, UXPin, or Balsamiq.Enterprise Design Experience: Proven ability to create high-fidelity prototypes, wireframes, user journey maps, mental models, and usability testing artifacts.Research & Testing: Experience in user research methodologies, usability testing, and heuristic analysis.Technical Awareness: Understanding of HTML, CSS, JavaScript capabilities and constraints to collaborate effectively with developers.Communication & Collaboration: Strong interpersonal, documentation, and presentation skills to articulate design decisions clearly.Project Management: Ability to independently manage multiple projects, prioritize tasks, and meet deadlines effectively.Experience & QualificationsExperience: 3-5 years in UI/UX design, preferably in SaaS or enterprise product design.Education: Strong foundation in user-cantered design (UCD), human-computer interaction (HCI), visual or graphic/web design.Portfolio: Strong portfolio with case studies showcasing a balance of UX and visual design expertise, industry trends, and tool usage.