Posted today · be early

Data Analyst

Sutherland

IndiaremotePosted today

Skill Required

Data-AnalystData-EngineerBusiness-Intelligence-AnalystBI-DeveloperAnalytics-EngineerAnalytics-AnalystData-Science-AnalystFinancial-Data-AnalystIT-Data-AnalystData-Analytics-SpecialistResearch-Data-AnalystData-Intelligence-AnalystAI-Data-AnalystData-ScienceData AnalystQuery Optimizationdata engineeringAzureData WarehousingEngineeringanalyticalautomationSnowflakePower BIanalyticsSparkPythonPandasdesignNumPyCI/CDAgileCloudjQueryETLSQLGitandCICDFulltime

Key highlights

Required experience: 3-7 years in Data Analytics, Data Engineering, or Business Intelligence
Key requirement: Minimum 2 years hands-on experience with Microsoft Fabric or Azure-based analytics platforms

Role overview

Sutherland is a company specializing in Artificial Intelligence, Automation, Cloud Engineering, and Advanced Analytics for global iconic brands. They focus on Digital Engineering as a foundation for rapid innovation and scalable business transformation, leveraging 363 unique inventions (including 250 AI-based patents) to engineer digital outcomes through a seamless "as-a-service" model.

Responsibilities

Design and develop data pipelines using Microsoft Fabric Data Factory.
Create and maintain Lakehouse and Warehouse solutions within Microsoft Fabric.
Implement and manage Bronze, Silver, and Gold Layer architectures.
Develop scalable ETL/ELT pipelines for ingesting and transforming data from multiple sources.
Monitor pipeline performance and troubleshoot data quality issues.
Design and develop Fact Tables and Dimension Tables following dimensional modeling principles.
Create and maintain Star Schema and Snowflake Schema data models.
Define surrogate keys, business keys, and Slowly Changing Dimensions (SCD) where required.
Optimize data models for reporting and analytics performance.
Write complex SQL queries for data extraction, transformation, and validation.
Build views, stored procedures, and reusable query frameworks.
Perform query optimization and performance tuning.
Develop Python-based data transformation and validation scripts using Pandas, NumPy, PySpark, and Requests.
Automate data quality checks and reconciliation processes.
Partner with business stakeholders to gather reporting and analytics requirements.
Develop datasets optimized for Power BI reporting.
Support creation of KPIs, metrics, and business data definitions.
Ensure data governance and consistency across analytical solutions.

Requirements

3-7 years of experience in Data Analytics, Data Engineering, or Business Intelligence.
Minimum 2 years of hands-on experience with Microsoft Fabric or Azure-based analytics platforms (specifically Fact Tables, Dimension Tables, Data Pipelines, and Power BI datasets).
Experience with Microsoft Azure Data Services.
Experience with Delta Tables and Apache Spark.
Familiarity with CI/CD and Git-based development.
Understanding of data governance and lineage concepts.