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Senior Data Analyst

eCom Solutions, Inc.United States🇺🇸United StatesPosted 3 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
United States
Posted
19 hours ago
SQLETLMachine LearningScrumSnowflakeTableauAgileHivePower BIPython

Job Description

Hi,     

This is Ravi from eCom Solutions Inc. I was reviewing your resume online and would like to talk to you regarding an exciting opportunity we have with one of eCom's premier clients. Your experience looks like a good fit for the position, and I wanted to know if you would be interested in exploring this opportunity.  

Job Title: Tech Data Analyst

Location: Atlanta, GA / Charlotte, NC / Raleigh, NC (No Remote)

Duration: Long term

Job Description:

Data Analysis & Transformation

Analyze complex SAS programs, macros, and datasets to understand business logic, data flows, and transformation rules.

Perform SAS code analysis and support migration/conversion to Snowflake.

Handle multi-format data ingestion including CSV, JSON, TXT, XML, and Parquet files.

Interpret and document upstream-to-downstream data transformations across systems.

Analyze source data structures, relationships, and dependencies to support data integration initiatives.

Source-to-Target Mapping (MapDocs)

Create, maintain, and enhance Source-to-Target Mapping documents (STMs / MapDocs).

Define detailed transformation logic, business rules, derivations, and field-level mappings.

Document data lineage and mapping between source systems, ETL processes, and Snowflake targets.

Ensure traceability between source systems (SAS/upstream) and target platforms (Snowflake).

Data Quality & Profiling

Perform data profiling to evaluate completeness, accuracy, consistency, uniqueness, and data distribution patterns.

Design and implement Data Quality (DQ) checks to ensure data integrity and reliability.

Proactively identify, analyze, and resolve data quality issues and anomalies.

Support data quality monitoring and reporting across multiple platforms.

Data Validation & Reconciliation

Execute end-to-end data validation between source systems and Snowflake.

Perform record count, aggregate-level, and attribute-level reconciliations.

Validate data across staging, integration, and reporting layers.

Support defect analysis, root cause identification, issue remediation, and validation signoff.

ETL Analysis & Support

Analyze ETL workflows developed using Talend and Informatica.

Collaborate with ETL developers to understand ingestion and transformation logic.

Review ETL design documents and validate implementation against business requirements.

Support ETL testing, deployment validation, and production support activities.

Snowflake & SQL Analysis

Develop and execute complex SQL queries for analysis, reconciliation, and validation.

Analyze Snowflake schemas, tables, views, and data models.

Support Snowflake data validation, performance analysis, and optimization initiatives.

Validate source-to-target data movement and transformation accuracy.

Reporting & Monitoring

Develop and maintain reports and dashboards for operational and business insights.

Support Power BI/Tableau reporting and analytics initiatives.

Monitor data pipelines to ensure timely delivery aligned with SLA/OLA commitments.

Participate in SLA/OLA definition, approvals, monitoring, and performance tracking.

Collaboration & Support

Collaborate with ETL Developers, Data Engineers, Architects, Business Analysts, and Business Stakeholders.

Support requirement gathering, data analysis workshops, and impact assessments.

Support SIT, UAT, production releases, and post-deployment validation activities.

Clarify business requirements and document functional specifications.

Validate data accuracy and ensure reporting reliability.

Coordinate issue resolution with upstream and downstream teams.

Data Governance & Lineage

Maintain data lineage documentation for audit, compliance, and governance purposes.

Ensure transparency of data movement across systems and transformations.

Support metadata management and governance standards.

Maintain technical and functional documentation for regulatory and operational requirements.

Ensure adherence to enterprise data governance policies and best practices.

Required Skills: SAS (Code Analysis & Conversion to Snowflake), Snowflake, SQL, Data Analysis, Data Profiling, Source-to-Target Mapping (MapDocs), Data Validation, Data Reconciliation, Data Lineage, Data Governance, ETL Tools (Talend/Informatica), Reporting & Analytics, Unix/Linux, Python, Power BI/Tableau, Data Warehousing, Agile/Scrum

Additional Skillsets –

Snowflake Data Warehouse

Hive Query Development

SQL & Advanced CTE Development

Data Migration & Modernization

Data Validation & Reconciliation

Database Object Creation & Management

Data Modeling

Machine Learning Pipeline Enablement

SageMaker Integration

Performance Optimization

Dev/Test/QA Deployment Processes

Data Governance & Quality Assurance

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