Job Description
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 Functions:
➢ 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.
Candidate’s Profile
Essential 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.