Data Quality Analyst

Reposted 2 Days Ago
New York City, NY, USA
In-Office
Senior level
Information Technology • Consulting
The Role
Own enterprise data quality standards and monitoring across source systems, ETL pipelines, and cloud warehouses. Profile and validate data, perform root-cause analysis, design ETL test strategies, and prevent bad data from reaching models and dashboards. Partner with Data Engineering, Data Science, and Governance to define validation criteria, report KPIs, and mentor junior analysts.
Summary Generated by Built In
Role: Data Quality Analyst
Location: New York, NY

Job Summary
We are looking for a Data Quality Analyst with strong experience in SQL, data validation, ETL/ELT testing, data profiling, and reconciliation. The role will ensure enterprise data is accurate, complete, consistent, and reliable across data platforms and downstream applications.
Key Responsibilities
  • Perform data profiling, validation, reconciliation, and quality checks across large datasets.
  • Write advanced SQL queries to identify anomalies, duplicates, missing data, and transformation issues.
  • Validate ETL/ELT pipelines and perform source-to-target testing and reconciliation.
  • Define and implement data quality rules, metrics, controls, and automated checks.
  • Perform root-cause analysis and work with Data Engineering and business teams to resolve data issues.
  • Monitor data quality KPIs and support dashboards, analytics, reporting, and production data issues.
  • Support data governance, lineage, metadata, and data quality standards.
Required Skills
  • 5+ years of experience in Data Quality, Data Analysis, Data Testing, or ETL Testing.
  • Strong hands-on SQL and experience with relational databases and data warehouses.
  • Experience with data profiling, cleansing, validation, reconciliation, and ETL/ELT testing.
  • Experience with platforms such as Snowflake, Databricks, Azure Synapse, SQL Server, or similar.
  • Knowledge of Python/PySpark and data quality tools is an advantage.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
Education
Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or a related field, or equivalent experience.

Skills Required

  • 7+ years of experience in Data Quality, Data Analysis, Data Governance, or Business Intelligence.
  • Advanced SQL and hands-on experience profiling and validating large, complex datasets across ETL pipelines and cloud data warehouses.
  • Solid grounding in data governance, lineage, metadata management, and master data concepts.
  • Experience working with both relational and non-relational data stores.
  • Strong analytical rigor, attention to detail, and stakeholder communication skills.
  • Experience supporting AI/ML or advanced analytics initiatives, including validating data that feeds forecasting or optimization models.
  • Experience with data quality automation or monitoring frameworks.
  • Experience working within Agile delivery environments.
  • Background in logistics, supply chain, retail, financial services, or healthcare data.
  • Knowledge of relevant regulatory or data compliance frameworks.
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The Company
HQ: Vaughan, Ontario
345 Employees
Year Founded: 2007

What We Do

@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry

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