Data Operations Analyst

Position: Senior / Advanced Data Operations Analyst- (Customer Service / Analytics Operations)

Location: Remote

Duration: 9+ Months

Role Summary

• The Data Operations Analyst supports analytics and data processing operations by monitoring workflows, producing operational reports, and ensuring timely, accurate delivery of data-driven outputs. This role partners closely with analytics, data delivery, and leadership teams to provide visibility into performance metrics, volumes, and service levels.
• The position requires strong analytical thinking, clear communication skills, and working familiarity with business intelligence and data tools.

Key Responsibilities

• Prepare, validate, and distribute recurring operational and performance reports (e.g., cycle times, volumes, SLA metrics).
• Monitor data processing activities to identify delays, data quality issues, or anomalies and coordinate resolution with crossfunctional teams.
• Support service level tracking and performance management initiatives through metric analysis and reporting.
• Collaborate with analytics, data engineering, and operations teams to ensure consistent, accurate data outputs.
• Communicate status updates, trends, and risks to stakeholders in a clear and concise manner.
• Maintain documentation and standardized reporting processes to support operational efficiency and auditability.
• Required Qualifications
• Experience in an analytics, data operations, customer service analytics, or performance management role.
• Strong attention to detail with the ability to interpret and validate data outputs.
• Proven ability to communicate data findings to both technical and nontechnical audiences.
• Experience working in crossfunctional, matrixed environments.

Core Competencies

• Analytical and problemsolving skills
• Data accuracy and quality awareness
• Process orientation and operational discipline
• Clear written and verbal communication
• Collaboration and stakeholder engagement

Skills:

Preferred / Desired Skills

• Working familiarity with Power BI, including reviewing dashboards, validating metrics, and understanding visualizations.
• Basic to intermediate familiarity with SQL Server, such as reading queries, validating results, or performing simple data checks.
• Understanding of data pipelines, reporting workflows, or operational metrics.
• Experience supporting SLA, KPI, or performance reporting.
• (Note: Deep development expertise is not required; emphasis is on interpretation, validation, and operational use of data.)