Role: Data Analyst, Exp: 6+ years

Key Responsibilities

Analyze data flows/mappings across various data stores and systematically document all systems/data elements involved

Reverse engineer legacy implementation and create transformation specifications to support migrating data to the modernized platform

Spearhead Data Stewardship and Data Quality standards across all systems and teams

Ability to design data models/data flows for optimal data processing

Collaborate with stakeholders to understand requirements and deliver objective driven business solutions

Provide analysis, insights, and recommendations to support business needs

Stay current with emerging Generative AI technologies, tools, and best practices

Data Analysis: Thorough knowledge and hands on experience designing and analyzing data flow in data pipelines, mapping data across platforms

Hands-on experience creating data transformation specifications clearly defining the rules for implementation team to map data between various data stores

Very valuable knowledge on commercial data domain,



understanding customer data needs and recommending the best view of the data

Hands-on experience with creating data lineage, Ontology, Reference data, data modelling, data transformations etc.

Ability to build/use tools to compare data at both macro and micro levels and derive insights to enable data migration

Very strong SQL querying skills specifically GCP data stores (Big Table, Big Query).

Advantageous to have Mainframe knowledge (to assist in reviewing the data sets we will replace)

Experience with Snowflake is preferable

Experience with Data profiling, analyzing fill rates, and comparing data attributes

Knowledge and experience in frameworks/tools to measure and enforce data quality principles, such as integrity, consistency, accuracy

Ability to report periodic data quality dashboards, derive and report data insights to aid stakeholders in making informed decisions

Proven ability to leverage AI tools

📌 Architect (Mumbai)
🏢 Virtusa
📍 Mumbai