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Data Analyst

Job in 500001, Hyderabad, Telangana, India
Listing for: HTC Global Services
Full Time position
Listed on 2026-09-29
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Database Administrator
Job Description & How to Apply Below
We are seeking a highly skilled and detail-oriented  Senior Data Analyst / Data Governance Specialist  with 7+ years of experience to drive data-driven decision-making and ensure robust data governance practices. The ideal candidate will have strong expertise in  data analysis, SQL, data modeling, and governance frameworks , along with the ability to translate business requirements into actionable insights.

Key Responsibilities
Data Analysis & Insights
Analyze large volumes of structured and unstructured data to generate actionable insights.
Design and develop dashboards, reports, and KPIs to support business decision-making.
Perform data validation, profiling, and root cause analysis to improve data quality.
Collaborate with stakeholders to understand business requirements and convert them into analytical solutions.
Data Governance
Define and implement data governance frameworks, policies, and standards.
Ensure compliance with data quality, data privacy, and regulatory requirements.
Establish data lineage, metadata management, and data stewardship practices.
Monitor and improve data quality metrics and remediation processes.
SQL & Database Management
Write complex SQL queries for data extraction, transformation, and analysis.
Optimize database performance and ensure efficient data retrieval.
Work with relational databases (e.g., SQL Server, Oracle, PostgreSQL, etc.).
Support ETL processes and ensure accurate data movement across systems.
Data Modeling
Design conceptual, logical, and physical data models.
Collaborate with engineering teams to define data architecture and schema designs.
Ensure scalability, performance, and integrity of data models.
Maintain documentation for data models, data dictionaries, and standards.
Collaboration & Stakeholder Management
Partner with cross-functional teams including business, IT, and data engineering.
Communicate complex data concepts in a clear and concise manner.
Provide mentorship and guidance to junior analysts.
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