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Data Management Analyst

Data Management Analyst

CloudMotivBengaluru, IN
21 hours ago
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 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
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