- 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.
- Solid 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.
📌 BI Architect (Noida)
🏢 Axtria
📍 Noida
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