Data Quality Analyst

Role: Data Quality Analyst
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 6 to 8 weeks
Work Schedule: 8 hours/day (Mon-Fri)
Work Hours: overlap with CST hours.
Location: 100% Remote - Candidates can work from anywhere in LATAM and India


Role Overview
The Command Center Data & Analytics Business Intelligence team is seeking a highly specialized Data
Quality Analyst. This role is strictly focused on the rapid design,
configuration, and implementation of a data quality rules engine utilizing the Datactics platform.
Your primary objective is to establish robust, automated governance checks to monitor, measure, and
ensure the accuracy, completeness, and consistency of our foundational data. The rules and pipelines
you build will feed directly into our Command Center BI dashboards, providing business leaders with realtime,
actionable visibility into enterprise data health.

Key Responsibilities
Datactics Rule Creation: Design, build, test, and deploy comprehensive data quality rules within the
Datactics platform, customized to our specific business glossary and governance policies.
Data Profiling & Discovery: Conduct rapid profiling of source datasets to identify anomalies, establish
baseline quality metrics, and define thresholds for accuracy, completeness, and consistency checks.
Governance Alignment: Translate abstract business definitions and governance guidelines into
technical data quality rules and executable workflows.
Dashboard Integration: Collaborate intimately with the Command Center BI team to ensure that
Datactics outputs, scores, and exceptions seamlessly flow into downstream reporting dashboards.
Documentation & Handoff: Produce clear, concise documentation of the rules engine architecture,
logic, and operational procedures to ensure a frictionless transition to the internal analytics team at the
conclusion of the assignment.

Requirements & Qualifications
Datactics Expertise: Proven, hands-on experience utilizing Datactics specifically for rules engine
creation, data profiling, and the automation of quality checks.
Data Governance Knowledge: Deep conceptual and practical understanding of core data quality
dimensions—specifically accuracy, completeness, and consistency—and how to systematically
measure them.
Technical Proficiency: Strong SQL skills for data extraction, manipulation, and validation. Familiarity
with standard Business Intelligence environments, ETL processes, and data warehousing concepts.
Agile Delivery Focus: Demonstrated ability to parachute into a fast-paced environment, quickly
understand the landscape, and deliver a fully functional solution within a strict 6-week timeframe.
Communication Skills: Excellent verbal and written communication abilities to articulate complex
technical rules to non-technical stakeholders and conduct effective handoff training.