Senior Data Analyst (Contract)

Saaki Argus & Averil Consulting; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Saaki Argus & Averil Consulting seeks a data professional to analyze and document data flows, mappings, systems, and elements across multiple stores and platforms. You will reverse engineer legacy systems and prepare transformation specs for migration to modern platforms.

The role emphasizes data governance, quality, modeling, and profiling, with hands-on work in SQL and GCP data stores such as BigQuery and Bigtable, and collaboration with stakeholders to deliver data-driven insights for

Qualifications

• Analyze and document data flows, data mappings, systems, and data elements across multiple data stores and platforms.
• Reverse engineer legacy systems and prepare detailed transformation specifications for data migration.
• Define data mapping and transformation rules for migrating data from legacy platforms to modernized platforms.
• Drive Data Stewardship, Data Governance, and Data Quality standards across systems and teams.
• Design and analyze data models, data flows, data lineage, and data transformations for efficient data processing.
• Perform detailed data profiling, including fill-rate analysis, attribute comparisons, integrity, consistency, and accuracy checks.
• Build or leverage tools to perform macro- and micro-level data comparisons and identify migration gaps and anomalies.
• Work extensively with SQL and GCP data stores, particularly BigQuery and Bigtable, for data analysis and validation.
• Develop data insights, dashboards, and recommendations to support business and stakeholder decision-making.
• Possess strong understanding of Commercial/Customer Data domains and recommend appropriate data views based on business requirements.
• Create and maintain data lineage, ontology, reference data, metadata, data models, and transformation specifications.
• Collaborate with business, technology, data engineering, and other stakeholders to understand requirements and deliver objective-driven solutions.
• Work with Snowflake and other cloud data platforms for data analysis and migration activities.
• Leverage Generative AI and AI-powered tools to simplify, automate, and accelerate data analysis and project activities.
• Work in an Agile environment, using tools such as JIRA and Confluence, while collaborating effectively with cross-functional teams.

Responsibilities

• Analyze and document data flows, mappings, systems, and data elements across stores and platforms.
• Reverse engineer legacy systems and prepare transformation specifications for data migration.
• Define data mapping and transformation rules for migrating data from legacy to modern platforms.
• Drive Data Stewardship, Data Governance, and Data Quality standards across teams.
• Design and analyze data models, data flows, data lineage, and data transformations for efficient processing.
• Perform detailed data profiling, including fill-rate analyses, attribute comparisons, integrity and accuracy checks.
• Build or leverage tools to perform macro- and micro-level data comparisons and identify migration gaps.
• Work with SQL and GCP data stores, especially BigQuery and Bigtable, for analysis and validation.
• Develop data insights, dashboards, and recommendations to support business decisions.
• Understand Commercial/Customer Data domains and recommend appropriate data views.
• Create and maintain data lineage, ontology, reference data, metadata, data models, and transformation specs.
• Collaborate with business, technology, data engineering and other stakeholders to deliver objective-driven solutions.
• Work with Snowflake and other cloud data platforms for analysis and migration activities.
• Leverage Generative AI and AI-powered tools to accelerate data analysis and project activities.
• Work in an Agile environment, using JIRA and Confluence, collaborating with cross-functional teams.

Skills

Data governance

Data quality

Data modeling

SQL

BigQuery

Snowflake

Bigtable

ETL/ELT

Data migration

Agile

Stakeholder collaboration

Tools

Snowflake

BigQuery

Bigtable

JIRA

Confluence

GCP

Generative AI

Job description

• Analyze and document data flows, data mappings, systems, and data elements across multiple data stores and platforms.
• Reverse engineer legacy systems and implementations and prepare detailed transformation specifications for data migration.
• Define data mapping and transformation rules for migrating data from legacy platforms to modernized platforms.
• Drive Data Stewardship, Data Governance, and Data Quality standards across systems and teams.
• Design and analyze data models, data flows, data lineage, and data transformations for efficient data processing.
• Perform detailed data profiling, including fill-rate analysis, attribute comparisons, integrity, consistency, and accuracy checks.
• Build or leverage tools to perform macro- and micro-level data comparisons and identify migration gaps and anomalies.
• Work extensively with SQL and GCP data stores, particularly BigQuery and Bigtable, for data analysis and validation.
• Develop data insights, dashboards, and recommendations to support business and stakeholder decision-making.
• Possess strong understanding of Commercial/Customer Data domains and recommend appropriate data views based on business requirements.
• Create and maintain data lineage, ontology, reference data, metadata, data models, and transformation specifications.
• Collaborate with business, technology, data engineering, and other stakeholders to understand requirements and deliver objective-driven solutions.
• Work with Snowflake and other cloud data platforms for data analysis and migration activities.
• Leverage Generative AI and AI-powered tools to simplify, automate, and accelerate data analysis and project activities.
• Work in an Agile environment, using tools such as JIRA and Confluence, while collaborating effectively with cross-functional teams.