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Chief Data Strategist

2 weeks ago


Kollam, Kerala, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview:

We're seeking a highly skilled Analytics Engineering & Automation Specialist to join our team. This role involves designing and scaling datamarts, dashboards, business rules, and ML deployment pipelines.

The ideal candidate will have advanced knowledge of SQL, data modeling, and pipeline orchestration, as well as experience with BI tools like Tableau or PowerBI.

Key Responsibilities:
  • Data Engineering
    • Architect and oversee datamarts and curated data views across domains.
    • Establish data modeling best practices, documentation, and governance.
    • Mentor team members on SQL and data engineering patterns.
  • Business Intelligence
    • 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 SLAs.
  • Machine Learning
    • 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.
  • Automation & SLAs
    • 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.
  • Team Leadership
    • 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.

Requirements:

  • 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.