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Director- Data Analytics

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Onsite

Director- Data Analytics

Anaptyss

Director- Data Analytics

Skills

Google Cloud PlatformSQL QueriesData EngineeringTableauPythonSnowflakeAmazon RedshiftDatabricksAlteryxData AnalysisMachine LearningAIAWSdbtCompliancePower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


Required Skills & Experience

  • 14+ years of experience in data engineering, architecture, and analytics, including substantial experience owning delivery and/or account leadership.
  • Proven hands-on expertise across the full data stack: SQL, Python, ETL/ELT (Alteryx, Informatica, Azure Data Factory, dbt), and cloud data platforms (Azure, AWS, or GCP — Snowflake, Databricks, Synapse, Redshift, BigQuery).
  • Deep architectural experience — data lake/warehouse/lakehouse design, enterprise/common data models (CDM), and data governance & catalog tooling (Collibra, Purview, Alation).
  • Strong analytics/BI background — Power BI, Tableau, Qlik — and experience enabling self-service and advanced analytics/AI-ML use cases.
  • Demonstrated experience managing multiple client accounts or a portfolio of engagements simultaneously, including account growth, delivery governance, and executive relationship management.
  • Track record leading large data transformation programs end-to-end — from strategy and roadmap through architecture, build, and adoption.
  • Strong pre-sales/solutioning capability — proposals, RFP responses, staffing plans, and commercial/delivery models.
  • Excellent stakeholder management and communication skills — equally credible with C-level executives and hands-on technical teams.
  • Demonstrated people leadership — building, mentoring, and scaling multi-disciplinary data teams across engagements.
  • BFSI domain knowledge preferred — regulatory/risk reporting, core banking data, and compliance frameworks (BCBS 239, Basel, CCAR).

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Data/Information Systems, Engineering, or a related field; MBA a plus.
  • Cloud or architecture certifications (Azure/AWS/GCP, TOGAF) and/or data management certification (DAMA/CDMP).
  • Prior experience in a consulting, systems-integrator, or professional-services environment managing a multi-client portfolio.
  • Exposure to GenAI/LLM-driven analytics strategy and its application within regulated industries.

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