Data Management Analyst

Role Summary : As a Consulting Senior Analyst I, the candidate will be responsible for developing and implementing analytical strategies to solve complex business challenges for clients in the pharma / life sciences domain. This role demands active leadership in guiding and mentoring a team of analysts, fostering their professional growth and skill development.

Essential Function :

Design and Execute Business strategy and solutions :

Identify business needs and opportunities and collaborate with clients to develop business strategies based on data-driven insights and market intelligence

Lead the development and delivery of solutions that provide critical insights through advanced quantitative analyses and data modeling

Utilize and innovate with a range of analytical techniques and platforms to design comprehensive business solutions

Develop and oversee project plans and execution strategies, aligning them with the organization’s strategic objectives

Present analytical findings, recommendations, and insights to clients through reports, presentations, and workshops

Solve unstructured business problems :

Apply problem-solving frameworks to break down complex problems into manageable components and develop systematic approaches to address them

Deliver business solutions aimed at minimizing the response time for analytical requests.

Assess the potential risks and uncertainties associated with different solutions and develop contingency plans to mitigate them

Manage Team and Mentor Junior Members :

Guide and offer valuable feedback to junior team members, fostering both their personal and professional development in the team

Train junior team members in necessary tools, technologies, and specific areas of expertise.

Foster a culture of innovation within the team by encouraging experimentation, knowledge sharing, and creative problem-solving

Assist in the hiring and orientation of new analysts, working under the supervision of the team leader

Contribute to the Centre of Excellence (CoE) :

Collaborate with team members across functions to design and implement proof-of-concept (PoC) projects focused on enhancing analytics capabilities and developing innovative solutions.

Lead efforts in researching and evaluating emerging technologies, tools, and industry trends to generate actionable insights and foster continuous improvement within the organization.

Leverage healthcare and pharma datasets to identify patterns, trends, and actionable insights, contributing to the development of thought leadership materials and knowledge assets.

Support the creation of reusable frameworks, methodologies, and templates based on project learnings to improve delivery efficiency and accelerate future implementations.

Actively engage in knowledge-sharing sessions, promoting a culture of learning and collaboration across teams. The roles and responsibilities will continuously evolve based on project allocations and client requirements.

Additional Functions :

Continuously enhance professional skills by staying updated on emerging technologies, analytics methodologies, and industry best practices through self-learning, certifications, and participation in relevant forums.

Contribute to thought leadership by creating knowledge assets such as white papers, case studies, or best practice guides, leveraging insights from projects and research.

Collaborate with cross-functional teams to identify opportunities for process optimization and innovation, driving operational efficiencies and client value.

Actively support business development activities by contributing to proposal creation, market research, and client presentations, showcasing the organization’s capabilities and expertise.

Build strong client relationships by understanding their evolving needs, providing proactive recommendations, and delivering high-quality analytical solutions aligned with their business objectives.

Qualifications :

B-Tech. or B.E. in any engineering discipline or PG in Statistics / Mathematics / Operation Research or B.Sc. in Computer Science or a similar course.

Experience :

2-4 years of relevant experience working on medium to large-scale business consulting engagements

Exposure to Pharma / Healthcare Data and Analytics Proficiency in technical and analytical tools such as MS Office, SQL, Power BI, Tableau, R, Python, etc.) Deep understanding of database management, data modeling, and data integration techniques.

Should have extensive experience in working on commercial analytics (segmentation, targeting, sales force effectiveness)

Hands-on experience in analyzing IQVIA / SHS data (patient insights, MIDAS)

Experience of managing / mentoring 5-7 team members while providing necessary mentorship / guidance for the team’s growth

Experience working in a client-facing role, with demonstrated ability to build rapport, manage expectations, and resolve conflicts effectively

Good to have :

Proficiency in Python, VBA, and visualization tools (Power BI, Tableau, Qlik)

Marketing analytics (market assessment, forecasting, competitive intelligence)

Sales analytics expertise (sizing, structuring, segmentation)

Skills, Knowledge, Abilities & Key Traits :

Exceptional verbal and written communication skills, with the ability to effectively convey complex analytical insights to diverse audiences, including clients and internal stakeholders.

Strong analytical thinking and problem-solving abilities, with a focus on logical reasoning and critical thinking to address complex business challenges.

Proactive and hands-on approach to work, demonstrating flexibility and adaptability to evolving project requirements, technologies, and client expectations.

Expertise in managing and mentoring teams, with strong leadership and interpersonal skills to foster collaboration, motivate team members, and drive their professional growth.

Advanced project management capabilities, including planning, organizing, and executing tasks efficiently, while identifying and mitigating risks to ensure project success.

In-depth understanding of commercial analytics, including segmentation, targeting, sales force effectiveness, and marketing analytics within the pharma / healthcare domain.

Strong proficiency in data analytics tools such as SQL, Power BI, Tableau, R, Python, and a good grasp of database management, data modeling, and data integration techniques.

Demonstrated ability to work in client-facing roles, building rapport, managing expectations, and delivering exceptional results under pressure