Data Analytics - Pune District - Terra Technology Circle Consulting Private Limited

    Description

    Location

    The successful candidate shall be placed at Pune Location. It is a Full-time Job, "No" remote work. Data Engineer willing to work on a 12-month contract/full-time may apply.

    Experience

    Candidates should have experience between 3-6 years

    Role Description

    About the Role

    We are looking for a skilled Data Analyst (DA AC) with strong experience in claims data and commercial datasets. The role involves hands-on analytics, building data-driven insights, and leading the development of analytical frameworks while working closely with a team of data scientists and analysts.

    Key Responsibilities

    • Lead the development and enhancement of analytical frameworks to solve business problems
    • Perform hands-on analysis of claims data and commercial datasets
    • Write and optimize SQL queries to answer complex business questions
    • Use Python for data analysis, data manipulation, and modeling
    • Apply basic machine learning algorithms for predictive and descriptive analytics
    • Collaborate closely with data scientists, analysts, and business stakeholders
    • Translate business requirements into analytical solutions and insights
    • Ensure data accuracy, consistency, and quality across analyses

    Required Skills & Qualifications

    • 3–6 years of experience in data analytics or data science roles
    • Strong experience working with claims data
    • Proficiency in Python (Pandas, NumPy, etc.)
    • Strong SQL skills for querying and data extraction
    • Experience with commercial datasets
    • Understanding of basic machine learning algorithms (regression, classification, clustering, etc.)
    • Strong analytical and problem-solving skills
    • Ability to work hands-on while guiding and collaborating with a team

    Nice to Have

    • Experience in insurance, healthcare, or financial services domains
    • Exposure to data visualization tools (Tableau, Power BI, etc.)
    • Experience working in agile or fast-paced environments

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