Senior Data Analyst - SQL & Azure

Persistent Systems Limited; Mumbai; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Persistent is seeking a Senior Data Analyst to analyze large data sets, develop analytical models, and deliver insights for Banking and Financial Services within a hybrid work environment. You will collaborate with QA, Platform, Engineering, and DevOps to enable data-driven decisions and ensure data quality.

The role emphasizes SQL development, Azure data services, data lakes/warehouses, and stakeholder collaboration across enterprise data platforms.

Qualifications

• 5–9 years of experience in Data Analysis, BI, or Analytics roles.

Responsibilities

• Analyze large volumes of structured and unstructured data to uncover actionable business insights.

Skills

SQL development

Query optimization

Stored procedures

Azure Data Services

Databricks/Azure Synapse

Data Lakes/Warehouses

BI reporting

Data modeling

Data profiling

Stakeholder communication

Tools

SQL Server

Job description

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

We are seeking an experienced Senior Data Analyst with strong expertise in SQL, Azure, and Data Analytics to support enterprise data initiatives and drive data-driven decision-making. The ideal candidate will be responsible for analyzing complex datasets, identifying business insights, optimizing analytical models, and supporting strategic transformation programs within Banking and Financial Services environments. The role requires strong experience in Data Warehousing, Data Lakes, Azure technologies, and stakeholder collaboration to deliver high-quality analytical solutions.

• Experience: 5 to 9 Years
• Job Type: Full-Time Employment

What You'll Do:

• Analyze large volumes of structured and unstructured data to uncover actionable business insights.
• Lead data analysis activities and support business transformation and strategic initiatives.
• Develop, optimize, and maintain complex SQL queries, stored procedures, and analytical datasets.
• Perform data profiling, reconciliation, validation, and quality assessments.
• Work with Data Lakes, Data Warehouses, and cloud-based analytical platforms.
• Design and enhance analytical models to support reporting and business intelligence requirements.
• Collaborate with business stakeholders to understand data requirements and translate them into analytical solutions.
• Partner with QA, Platform, Engineering, and DevOps teams for successful solution delivery.
• Support dashboarding, reporting, and ad-hoc analysis requests.
• Participate in data architecture discussions and contribute to data strategy initiatives.
• Identify trends, patterns, and opportunities through advanced data analysis techniques.
• Present findings, recommendations, and business insights to stakeholders and leadership teams.
• Ensure data accuracy, consistency, and compliance with organizational standards.

Expertise You'll Bring:

• 5 to 9 years of experience in Data Analysis, Business Intelligence, or Analytics roles.
• Strong expertise in SQL development, query optimization, and stored procedure analysis.
• Hands-on experience with Azure Data Services, Databricks, Azure Synapse, or similar cloud technologies.
• Experience working with Data Lake, Data Warehouse, and enterprise data platforms.
• Strong understanding of OLTP systems, Data Warehouse concepts, and dimensional data models.
• Experience leading or contributing significantly to enterprise data analytics projects.
• Knowledge of Data Architecture, Data Modeling, and Analytical Frameworks.
• Strong understanding of RDBMS concepts, data structures, and analytical algorithms.
• Experience creating reports, dashboards, and business intelligence solutions.
• Ability to analyze complex datasets and convert findings into meaningful business recommendations.
• Experience working with cross-functional teams including QA, Platform Delivery, Engineering, and DevOps.
• Strong problem-solving, analytical thinking, and decision-making abilities.
• Excellent communication, stakeholder management, and presentation skills.
• Experience working within Banking or Financial Services environments is highly preferred.
• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."