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Senior Engineer

Wipro

Location

Bengaluru

Salary

Not disclosed

Employment

Other

Experience

4+ years

Job overview

Complete role details

Location

Bengaluru

Employment type

Other

Workplace

Onsite

Experience

4+ years

Seniority

Senior

Skills

GitPythonSnowflakeSQLTableau

Role details

Job description

Job Description

About the Company and Role

At our organization, we’re proud to stand at the forefront of the Technology initiatives. Using the latest analytic tools and processes, we’re able to maximize our offerings and deliver unparalleled service and support.

We are seeking a detail-oriented and technically strong Sr. Data Analyst to support our Master Data Management (MDM) Operations and BDG Legal Entity functions. The ideal candidate will bring strong SQL and data warehousing skills, hands-on experience with financial datasets, and the ability to support reporting and operational workflows in a fast-paced environment.

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Core Responsibilities

  • Manage day-to-day requests from users within the firm for Master Data Management Operations.
  • Work with business users to gather functional requirements, develop complex queries, and deliver reports.
  • Manage and drive data quality and integrity through checks and validations, collate data quality issues, drive remediation and Manage reconciliation processes
  • Monitor data governance SLAs, assuring required KPI levels are within established thresholds
  • Analyze and support finance-related datasets and operational processes.
  • Create requirement documents and incident summaries as needed.
  • Provide inputs and assist with process enhancement and automation activities.
  • Develop and optimize SQL-based transformations in Snowflake.
  • Support reporting and dashboards via Sigma and/or Tableau.
  • Collect and manage metadata, including Business Glossary and Data Lineage
  • Assist business in creating process workflows and optimization
  • Support ad-hoc requirements from business

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Technical Skills Required

  • SQL Complex queries, joins, CTEs (including recursive), window functions, performance tuning.
  • Python functional Knowledge.
  • Data Warehouse Snowflake – data loading, querying, and optimization.
  • Visualization Tools Sigma, Tableau.
  • Good to Have: Version Control: Git

 

Domain Knowledge

  • Understanding of finance data and business workflows
  • Familiarity with financial services data and operational processes
  • Ability to translate business requirements into actionable data solutions

 

Candidate Requirements

  • Bachelor’s degree in information technology, Business, or a related field, or equivalent experience
  • 4+ years of data quality or similar data analysis experience
  • 2+ years of financial services experience

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Deliver

No. Performance Parameter Measure
1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated.
2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components  developed for proposal during quarter