Etech Global Services Logo

Etech Global Services

Data Analyst

Reposted 3 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Data Analyst will perform data analysis, validation, and quality assessments, support MDM implementations, and collaborate with stakeholders to ensure accurate master data.
The summary above was generated by AI

This is a remote position.

Job Description:

We are seeking a detail-oriented Data Analyst with hands-on experience in Informatica and/or Master Data Management (MDM) projects. The ideal candidate will be responsible for data analysis, data validation, data quality assessments, and supporting MDM implementations to ensure accurate and consistent enterprise master data.

Key Responsibilities:
  • Perform detailed data analysis and profiling to support MDM and data integration initiatives.

  • Analyze and validate master data domains such as Customer, Product, Vendor, or Supplier.

  • Work closely with MDM developers to validate match, merge, and survivorship logic.

  • Perform data reconciliation and validation between source, staging, and target systems.

  • Write complex SQL queries for data extraction, validation, and troubleshooting.

  • Support implementation and enhancement of Informatica MDM / PowerCenter / IDQ solutions.

  • Identify and resolve data quality issues, inconsistencies, and duplication.

  • Create documentation including data mapping, data lineage, and business rules.

  • Collaborate with business stakeholders to understand data requirements and governance policies.

  • Support UAT, reporting, and production validation activities.

Required Skills & Qualifications:
  • 4+ years of experience as a Data Analyst in data-driven environments.

  • Hands-on experience with Informatica (MDM / PowerCenter / IDQ / IICS).

  • Strong understanding of MDM concepts – golden record, match & merge, survivorship rules, hierarchies.

  • Strong proficiency in SQL for data analysis and validation.

  • Experience in data profiling, cleansing, and data quality analysis.

  • Understanding of ETL/ELT processes and data integration workflows.

  • Experience working with relational databases (SQL Server, Oracle, etc.).

  • Strong analytical and problem-solving skills.



Similar Jobs

4 Hours Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead analytics workstreams for commercial payments fraud detection and operations. Translate business needs into scalable analytics, build dashboards and data products, evaluate and optimize models/rules, automate reporting pipelines, and deliver actionable insights to reduce fraud losses and improve operational effectiveness across stakeholders.
Top Skills: Amazon RedshiftAnomaly DetectionDatabricksGenerative Ai ToolsGoogle Cloud PlatformMachine LearningMs FabricPower BIPredictive ModelingPythonRSASSnowflakeSQLTableau
4 Days Ago
Easy Apply
Remote or Hybrid
14 Locations
Easy Apply
110K-135K Annually
Senior level
110K-135K Annually
Senior level
Automotive • Big Data • Insurance • Software • Transportation
Lead data analyst responsible for advanced analytics, real-time performance dashboards, network capacity modeling, and generating actionable insights for third-party service providers. Drives testing and pilots, analyzes stakeholder feedback, and serves as an internal analytics subject-matter expert to inform network strategy and operational improvements.
Top Skills: BiCrm ToolsGoogle WorkspaceRelational DatabasesSQL
9 Days Ago
Remote or Hybrid
Illinois, USA
119K-164K Annually
Senior level
119K-164K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design and build scalable data solutions for high-volume transaction streams. Partner with product and business teams to deliver analytics, dashboards, and insights. Lead data strategy, architecture, governance, quality, lineage, and access controls. Enable self-service capabilities and explore new open-source technologies to support business intelligence and operational needs.
Top Skills: AWSBi Visualization ToolData WarehousesOpen Source TechnologiesPythonRSparkSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account