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Mid-level, generalist data role in Bangalore with broad SQL/PySpark/Tableau requirements increases candidate competition.
Core analytics, SQL, PySpark, and Tableau skills transfer easily across industries.
Explicit 3–8 year band plus mandatory PySpark, SQL, data engineering, and Tableau skills narrows candidate pool.
Design and maintain scalable data pipelines, data models, and governed datasets to support customer journey growth analysis.
Develop and publish interactive Tableau dashboards and reports that provide actionable business insights and visibility into key metrics.
Collaborate with stakeholders to translate business requirements into analytical solutions and drive data integrity and quality across reporting and data products.
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Engineering, or related quantitative field.
3 to 8 years of applied work experience in data analytics, business intelligence, data engineering, data products, or quantitative analysis.
Hands-on experience with SQL programming, PySpark, and Tableau for data visualization and dashboarding.
Experience with Data Engineering concepts including ETL/ELT pipelines and working with big data platforms like Hadoop, Spark, or Databricks.
Proven ability to handle complex, large datasets and synthesize data across multiple sources to deliver business value.
Experienced in data product ownership including dataset governance, quality checks, and lifecycle management.
Operates well in Agile environments managing delivery cycles, stakeholder engagement, and continuous data workflow improvements.