Chief Data Strategist

14 hours ago

Aligarh, Uttar Pradesh, India beBeeDataDriven Full time US$ 80,000 - US$ 1,40,000

Analytics Professional

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This is an exceptional opportunity to take on a challenging role as an Analytics Professional. You will be responsible for driving the design and scaling of datamarts, dashboards, business rules, and ML deployment pipelines. This position requires strong analytical skills, experience with data modeling, pipeline orchestration, and a hands-on approach to implementing solutions.

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Key Responsibilities

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  • Data Engineering & Automation Lead">
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    • Develop and maintain datamarts and curated data views across domains.">
    • Establish best practices for data modeling, documentation, and governance.">
    • Mentor team members on SQL and data engineering patterns.">
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  • Dashboarding & Visualisation Expert">
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    • Drive dashboard standards, governance, and usability across business teams.">
    • Lead the design of executive-level and operational dashboards.">
    • Manage a backlog of dashboard requests with clear Service Level Agreements (SLAs).">
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  • Business Rule Engines Specialist">
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    • Own the design and governance of production rule engines for credit/fraud policies.">
    • Ensure scalable, tested, and version-controlled deployment of rules.">
    • Partner with Risk/Policy/Product teams for agile implementation.">
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  • ML Deployment & Maintenance Manager">
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    • Lead the deployment and monitoring of batch-based ML models.">
    • Define standards for model execution, monitoring, and retraining workflows.">
    • Collaborate with model builders for smooth model-to-production handoff.">
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  • Automation & SLAs Specialist">
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    • Define and enforce SLAs for data, dashboard, and BRE changes.">
    • Introduce automated solutions using tools like GenAI, n8n, dbt, CI/CD.">
    • Continuously improve efficiency of analytics delivery.">
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  • Team Leadership">
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    • Lead a small team (2–4 analysts/engineers) with responsibility for prioritization, quality, and development.">
    • Conduct regular reviews, mentorship, and skill development.">
    • Act as the bridge between business stakeholders and the analytics team.">
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Qualifications:

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  • 5–8 years of experience in analytics engineering / BI / data platforms.">
  • Advanced SQL, data modeling, and pipeline orchestration experience.">
  • Strong BI expertise (Tableau, PowerBI, Looker, or equivalent).">
  • Hands-on with ML model deployment (batch pipelines, monitoring, scheduling).">
  • Familiarity with cloud platforms (BigQuery, Snowflake, GCP/AWS/Azure).">
  • Experience with workflow automation (Airflow, dbt, n8n, CI/CD).">
  • Prior experience in leading small teams and stakeholder management.">
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