Data Analyst (5 to 10 Years Experience)

Required Skills & Qualifications

· 5–7 years of experience in data analysis or a related discipline.

· Advanced proficiency in SQL (must-have).

· Solid working knowledge of PySpark with at-least 2years of hands-on knowledge (must-have).

· Experience with Python (good to have).

· Expertise in data modeling.

· Robust business analysis, logical thinking, and stakeholder management skills.

· In-depth understanding of data governance, data domains, and product design.

· Background in banking, wholesale banking, or regulatory reporting.

· Proven experience with SDLC and Agile methodologies (good to have).

· Excellent communication and leadership abilities.

Good to Have

· Experience with market data vendors and financial data domains.

· Familiarity with Hadoop, MS Office, Confluence, and JIRA.

Key Responsibilities

· Lead the collection, organization,



and processing of complex data sets to create high-quality data assets.

· Drive data analysis, data modeling, and data quality initiatives to support strategic business goals.

· Own documentation of solution designs and oversee the drafting and execution of comprehensive test scenarios.

· Manage stakeholder relationships and provide expert guidance on data-driven decision-making.

· Coordinate and support change management activities across multiple concurrent projects.

· Oversee implementation management, including planning, controlling, and reporting on solution deployment, with a focus on risk mitigation and benefit realization.

· Mentor and guide junior data analysts or small teams as needed.

📌 Deloitte -BIg Data Senior Consultant | PySpark (India)
🏢 Trigent Software
📍 India