Data-Driven Decision Making Expert

2 days ago

Lucknow, Uttar Pradesh, India beBeeAnalytics Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

As a leader in data-driven decision making, we are seeking an experienced Analytics Engineering & Automation Lead to oversee a small team of analysts/engineers.

Key Responsibilities
  • Data Strategy
  • Develop robust data modeling best practices, documentation, and governance to ensure seamless data flow.
  • Mentor team members on SQL and data engineering patterns for optimal performance.
  • Dashboarding & Visualisation
  • Establish dashboard standards, usability, and governance across business teams.
  • Design and implement executive-level and operational dashboards.
  • Manage a backlog of dashboard requests with clear Service Level Agreements (SLAs).
  • Business Rule Engines (BREs)
  • 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.
  • ML Deployment & Maintenance
  • 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.
  • 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.
Qualifications
  • 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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