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Director- Data Analytics
Job in
201301, Noida Sector 27, Uttar Pradesh, India
Listed on 2026-08-30
Listing for:
Anaptyss
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst
Job Description & How to Apply Below
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, Big Query).
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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