Senior Data Quality Analyst

We are hiring a Senior Data Quality Analyst to own data quality across our enterprise data platforms and the analytics, forecasting, and AI/ML systems built on top of them. You will be the primary safeguard between raw operational data flowing through source systems and ETL pipelines and the models and dashboards that depend on it — defining what "trustworthy data" means for the business and building the frameworks that keep it that way. You will work closely with Data Engineering, Data Science, and Business Intelligence to catch data issues before they reach production models or executive dashboards, and to build lasting automated safeguards rather than one-off fixes. What You'll Do Data Quality Strategy & Monitoring Define and own enterprise data quality standards, rules, and scorecards covering accuracy, completeness, consistency, timeliness, and uniqueness across core operational and analytical datasets. Build automated data quality monitoring and alerting so issues are caught before they reach downstream models or dashboards, not after. Establish and report on data quality KPIs and trends to Engineering, Data Science, and Business leadership. Profiling, Validation & Root Cause Analysis Profile and assess data across source systems, ETL pipelines, data warehouses, and reporting layers to identify anomalies and diagnose root causes, not just symptoms. Validate the data used by downstream forecasting, optimization, and reporting models for correctness before it reaches production. Design and execute test strategies for ETL processes and pipeline changes; support UAT and reconciliation effort Governance & Cross-Functional Partnership Partner with Data Governance on standards, stewardship, metadata management, and compliance requirements. Translate business data requirements into concrete, measurable validation criteria alongside Data Engineering and Data Science Communicate findings, risk, and remediation plans clearly to both technical and business stakeholders; mentor junior analysts. Required Qualifications 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. Preferred Qualifications 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. About TechBlocks TechBlocks is a global digital product engineering company with 16+ years of experience helping Fortune 500 enterprises and high-growth brands accelerate innovation, modernize technology, and drive digital transformation. From cloud solutions and data engineering to experience design and platform modernization, we help businesses solve complex challenges and unlock new growth opportunities. At TechBlocks, we believe technology is only as powerful as the people behind it. We foster a culture of collaboration, creativity, and continuous learning, where big ideas turn into real impact. Whether you're building seamless digital experiences, optimizing enterprise platforms, or tackling complex integrations, you'll be part of a dynamic, fast-moving team that values innovation and ownership. Join us and shape the future of digital transformation.

Own enterprise data quality standards and build automated monitoring frameworks to safeguard data flowing through ETL pipelines. Partner with cross-functional teams to diagnose root causes of data anomalies and ensure data integrity for AI/ML and business intelligence systems.

Requires over 7 years of experience in data quality, analysis, or governance with advanced SQL proficiency. Candidates must have experience profiling complex datasets across cloud data warehouses and a strong understanding of data lineage and metadata management.

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Data Quality
• Data Analysis
• Data Governance
• Business Intelligence
• SQL
• ETL Pipelines
• Data Profiling
• Root Cause Analysis
• Metadata Management
• Data Lineage
• Master Data Management
• Cloud Data Warehouses
• Relational Databases
• Non-relational Databases
• Agile
• Data Validation

• Data & Analytics
• Technology
• Software
• Consulting

Minimum experience

16+ years

Apply by

Aug 19, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available