Crew
Posted 178 days agoVerified live 13h ago
Data Operations Analyst
Brief overview
Remote
$62k–$85k/yrStated range
Data analysis and validation.Performance reporting.Cross-functional collaboration.Stakeholder communication.Problem-solving.Data quality assurance.Process standardization.Operational reporting.Metric interpretation.Dashboard review and validation.SQL query reading and data validation.SLA and KPI tracking.
About the company
Crewtheboomlab.com
Founded in tandem with Turnberry Solutions, Crew serves as an innovative talent development program for both Turnberry and our clients by focusing exclusively on high-performing early-career consultants.
Job description
Summary
Crew helps clients deliver change through IT project delivery, business process improvement, and operational efficiency efforts. The Data Operations Analyst will prepare and validate operational reports, monitor data processing activities, and collaborate with various teams to ensure accurate data outputs.
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 cross‑functional 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
Skills
- 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 non‑technical audiences
- Experience working in cross‑functional, matrixed environments
- Analytical and problem‑solving skills
- Data accuracy and quality awareness
- Process orientation and operational discipline
- Clear written and verbal communication
- Collaboration and stakeholder engagement
- 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
Qualifications
Must Haves
- 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 non‑technical audiences
- Experience working in cross‑functional, matrixed environments
- Analytical and problem‑solving skills
- Data accuracy and quality awareness
- Process orientation and operational discipline
- Clear written and verbal communication
- Collaboration and stakeholder engagement
Nice to Haves
- 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
Benefits
- Comprehensive healthcare package (medical, dental, vision)
- Disability and group term life insurance
- Health and flexible spending accounts
- Utilization bonus
- 401(k) with match
- Flexible time off for salaried employees
- Parental leave for salaried employees
- Flexible work arrangements (all benefits are subject to eligibility requirements)
