Job Description

Power BI Expertise Min overall experience of 11-14 years with 8+ years of proficiency in Power BI /MSBI for data visualization, report creation, and dashboard development. Skills in data modeling, DAX (Data Analysis Expressions), and performance optimization are crucial. Generative AI Knowledge Understanding of Generative AI technologies, including integrating large language models (LLMs) and APIs into applications. Familiarity with AI frameworks and tools is important. Strong experience (or knowledge) of Power BI CoPilot or Gen AI / OpenAI/Claude etc. Data Management Strong skills in data management , including data storage, retrieval, and optimization. Knowledge of Retrieval-Augmented Generation (RAG) architecture and vector databases is beneficial. Analytical and Problem-Solving Skills Ability to analyze complex data sets and derive actionable insights. Strong problem-solving skills to address technical challenges and optimize solutions. Technical Proficiency Expertise in a range of BI and hosting technologies like the AWS stack, Azure & Snowflake . He/she can work on multiple project streams for a client and apply pharma domain knowledge for better business decision-making especially around Cloud Data Warehouse . Domain 5+ years of Pharma Domain experience in Commercial or Patient areas. Presales Experience RFP response and proactive proposal writing and presentation experience for medium and large pharma companies. Behavioral Collaboration and Communication: Excellent communication skills to work with stakeholders, translate business requirements, and mentor teams. Ability to collaborate effectively across different departments. Leadership: Ability to lead and inspire teams, drive innovation, and ensure project goals are met. Foster a collaborative and productive work environment. Problem-Solving: Proactive approach to identifying and resolving issues. Strong analytical skills to navigate challenges and implement effective solutions. Adaptability: Flexibility to adapt to changing technologies and business needs. Staying current with industry trends and integrating new tools and methodologies is crucial. Attention to Detail: Meticulous attention to detail to ensure accuracy and and quality in data analysis and reporting. Precision is key in delivering reliable insights. Good to Have Skills & Competencies Technical Experience with back-end technologies like Python, Node.js, or Java for designing robust architectures. Front-end skills in HTML, CSS, and JavaScript frameworks (e.g., React, Angular) are also valuable. Familiarity with other BI tools (e.g., Tableau, QlikView) is advantageous. Behavioral Creativity: Ability to think outside the box and develop innovative solutions. Creativity can lead to unique approaches in data visualization and AI integration. Curiosity: A strong desire to learn and stay updated with the latest trends and technologies. Curiosity drives continuous improvement and adaptation. Resilience: Ability to handle setbacks and challenges with a positive attitude. Resilience ensures persistence in achieving project goals despite obstacles. Conflict Resolution: Skills in resolving conflicts and maintaining a harmonious work environment. Effective conflict resolution fosters teamwork and collaboration. Strategic Thinking: Ability to see the big picture and align projects with organizational goals. Strategic thinking ensures that solutions are not only technically sound but also aligned with business objectives.