Data Quality Analyst

Description

We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.

You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.

Requirements

What you'll do

Validate data displayed across dashboards, reports, web, and mobile applications

Reconcile source data, transformed datasets, and final analytical outputs

Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports

Ensure consistency of metrics across multiple dashboards and reporting platforms

Validate business rules and ensure reported figures align with approved definitions

Identify data discrepancies and investigate inconsistencies before release

Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products

Act as the quality gate before dashboards and reports are released to end users

Log, track, and support the resolution of data quality issues

Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues

Maintain documentation for reconciliation rules, report logic, and validation processes

Contribute to improving reporting standards, validation checklists, and quality practices

You're our match if you have

3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance

Hands-on experience validating dashboards, reports, or business intelligence solutions

Strong SQL skills for data validation, reconciliation, and comparison

Experience working with Power BI, Tableau, or similar reporting platforms

Strong understanding of KPIs, metrics, business rules, and calculation logic

Experience working with enterprise data sources such as ERP, CRM, or HCM systems

Excellent analytical skills with exceptional attention to detail

Ability to communicate data issues clearly to both technical and business stakeholders

Strong sense of ownership and commitment to data accuracy

Bonus points if you have experience with

Validating analytics for web or mobile applications

Government or enterprise reporting environments

Data governance, reporting standards, or data quality frameworks

Supporting executive-level reporting