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Medium — senior but popular BI/data role with broad, non-niche skill requirements increases competition.
Medium — core BI and SQL skills transferable, but process mining and value-engineering require domain experience.
High — explicit 10+ years requirement plus mandatory BI, Databricks/Snowflake, Power BI, SQL, and Python skills.
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Design, build, and refine customer-facing dashboards using Power BI and Apache Superset to deliver actionable insights demonstrating ROI and performance improvements.
Develop and monitor customized KPIs aligned with business objectives leveraging SQL and data warehousing for advanced data mining and operational insights.
Collaborate cross-functionally with Customer Success, Implementation, and Data Science teams to standardize value delivery frameworks and uncover data-driven business improvement opportunities.
10+ years of experience in business intelligence, data analysis, or a related field.
Strong proficiency in SQL, data warehousing, and Power BI with experience in Apache Superset and Python for advanced analytics.
Experience in value engineering or business value analysis and business process analysis.
Work Experience Required: 10+ years. Notice Period: Not explicitly mentioned in the JD.
Experienced in building intuitive dashboards and analytical solutions that translate complex data into clear, actionable business recommendations.
Operates effectively in cross-functional, fast-paced environments collaborating across Customer Success, Implementation, and Data Science teams to deliver measurable value.
Skilled in leveraging generative AI tools like Claude, Gemini, or ChatGPT for reporting automation and data-driven decision support.