Data Analyst

Data Analyst

Alpharetta, GA-Equifax

Rate :: 60-67/hr on C2C max

Must have skills.
SQL
Python
Azure AWS
Job Summary

We are seeking a highly skilled Data Analyst with strong expertise in data analytics, business intelligence, and big data platforms to support data-driven decision-making across stakeholders.

The ideal candidate will have hands-on experience with SQL, Python, cloud data platforms, BI tools, data quality practices, and modern data pipelines, working closely with business and technical teams in an Agile offshore-onsite model.

Key Responsibilities

• Data Analytics & Business Intelligence Design, develop, and maintain Looker dashboards, LookerML models, and KPI frameworks to support business objectives.
• Perform ad-hoc data analysis and generate insights for stakeholders, leadership, and client teams.
• Translate business requirements into analytical solutions and clear visual storytelling.
• Support stakeholder reporting using Looker, Tableau, and Power BI. Data Management & Databases
• Write complex and optimized queries using SQL, Advanced SQL, PL/SQL, and PySpark for data extraction, transformation, and analysis.
• Work across multiple database platforms including Google Big Query, SQL Server, Teradata, Azure SQL DB, MySQL, Redshift, and Big Query DB.
• Perform data validation, reconciliation, and discrepancy analysis across multiple data sources.
• Optimize query performance using indexes, temp tables, and partitioning techniques.
• Data Quality & ETL Monitor and maintain data quality metrics, perform root-cause analysis, and drive resolution of data issues.
• Support and understand ETL/ELT pipelines built using: Azure Data Factory Azure Databricks Delta Lake AWS Glue Azure Data Pipelines Work with Data Lakehouse architectures using Azure Data Lake Storage and cloud-native platforms.
• Ensure consistency and accuracy of data across ingestion, transformation, and analytics layers.
• Programming & Automation Use Python for: Data analysis and transformation Data validation and reconciliation Basic automation and scripting Leverage PySpark and Spark frameworks for large-scale data processing.
• Support streaming and event-driven data use cases using Kafka where applicable. Big Data & Cloud Technologies Work within the Big Data ecosystem including Spark, Hadoop, PySpark, Kafka.
• Build and analyse data pipelines across Azure, AWS, and GCP, including: Azure Synapse Analytics AWS S3, Redshift Google BigQuery and Google Data Studio Support integrations using Azure Logic Apps, IoT Hub, and related services as needed.
• Tools, DevOps & Methodologies Track requirements, defects, and enhancements using JIRA and HP ALM.
• Maintain technical documentation using Confluence.
• Participate in Agile/Scrum ceremonies, working in a global offshore-onsite model.
• Use Azure DevOps, GitHub, and CI/CD pipelines for version control and deployment support.
• Required Skills & Qualification

Programming & Query Languages Strong expertise in SQL (Advanced SQL)
Proficiency in Python and PySpark Analytics & Visualization
Hands-on experience with Looker (LookerML), Power BI, and Tableau Strong understanding of KPI design and business metrics
Data Engineering & Processing Experience with Azure Databricks, Azure Data Factory, Delta Lake Familiarity with Data Lakehouse architectures .
Strong data quality, data reconciliation, and validation skills Big Data & Cloud Platforms Experience with Spark, Hadoop, Kafka
Cloud exposure across: Azure AWS (Glue, S3, Redshift) GCP (BigQuery, Google Data Studio)
Databases Azure SQL DB, SQL Server, MySQL, BigQuery, Teradata, Redshift
Operating Systems Linux and Windows DevOps & Tools Azure DevOps, GitHub, CI/CD pipelines JIRA, Confluence, HP ALM
Preferred Qualifications Experience supporting enterprise or client-facing analytics programs
Strong ability to work with cross-functional technical and business teams Experience in offshore-onsite delivery models
Strong communication and stakeholder management skills