
Visionary Analytics Leader
1 day ago
Lead Data Strategist Role
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- We are seeking a seasoned data strategist to spearhead the development of our next-generation data mart, optimizing data models for large-scale analytics and faster decision-making.">
- The ideal candidate will define tools and frameworks for data creation, transformation, and consumption across the organization.">
- This role requires building unified data views by integrating behavioral and transactional data into structured, query-optimized flat tables.">
- Oversight of analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.">
- Collaboration with cross-functional teams including product, marketing, CRM, operations, and finance to ensure data is democratized and actionable.">
- Introduce and scale ML-driven insights by collaborating with product and engineering teams.">
Requirements:
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- 8+ years in data & analytics leadership, with a proven track record of building data marts and defining enterprise-wide data consumption strategies.">
- Strong technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.">
- Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics layer.">
- Familiarity with modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tableau).">
- ML Competency: Familiarity with machine learning workflows and ability to guide data scientists in building predictive/ML models.">
- Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analytics.">
- Strong business acumen — ability to translate data into actionable insights for growth, retention, and efficiency.">
- Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.">
KPIs / Success Metrics:
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- Data Infrastructure & Scale">
- Launch of next-gen data mart within defined timelines.">
- Reduction in data processing and reporting times (e.g., < 5 mins refresh for key dashboards).">
- Uptime and reliability of data pipelines and consumption layers.">
- Adoption & Impact">
- % of org actively using self-service analytics tools.">
- Increase in cross-team usage of standardized data views (product, marketing, finance, operations).">
- Reduction in ad-hoc analytics requests due to robust self-service solutions.">
- Data Quality & Governance">
- % improvement in data accuracy and consistency across sources.">
- Establishment and adoption of data governance frameworks.">
- Team & Leadership">
- Successful hiring and scaling of a multi-disciplinary analytics team.">
- Retention and growth of top talent within the analytics function.">
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