Data Management Analyst

2 - 4 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Role Summary

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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