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Senior, niche BI/platform role with specific tooling reduces qualified applicant density.
BI, SQL, and observability skills are transferable, though enterprise process-mining adds domain specificity.
Multiple mandatory seniority and technical requirements (10+ years, SQL, Power BI, Superset, observability) increase strictness.
Own end-to-end analytics function, including personally architecting and building Power BI and Superset dashboards tied to measurable business outcomes.
Monitor, configure, and scale large-volume SQL/databases and reporting platforms; ensure data pipeline health and prevent outages.
Lead and mentor an analytics team while collaborating with customers and cross-functional teams to tailor analytics solutions and influence product roadmap.
Minimum 10 years of hands-on leadership experience in business intelligence, advanced analytics, or data science with proven track record of delivering data-driven solutions.
Deep hands-on expertise in SQL, databases, and data visualization tools (Power BI, Superset) with experience scaling to very large data volumes.
Experience with data observability practices including monitoring schema drift, data freshness, and anomalies across BI and data warehouse layers.
Work Experience Required: 10+ years of relevant leadership in BI/analytics/data science. Notice Period: Not explicitly mentioned in the JD.
Technically strong leader familiar with managing large-scale BI/data platforms and troubleshooting complex production issues autonomously.
Experienced user of AI tools (LLM, NLP) to augment analysis but not focused on building ML models; comfortable bridging technical and non-technical stakeholders.
Background in process mining, automation intelligence, or value engineering is preferred but not mandatory; demonstrates ability to partner cross-functionally and mentor teams.