Manager, Data Analyst

Location: Atlanta, GA, United States; Denver, CO, United States; Los Angeles, CA, United States; Washington, DC, United States Workplace Type: RemoteFull-TimeManager

Salary138,000 - 170,000 USD per year

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Job Details

Experience: 6+ years in analytics, business intelligence, data analytics, or strategic operations; 2+ years directly managing analysts as direct reports.
Required Skills: PythonSQLBusiness IntelligenceTableauStakeholder managementdbtData analytics

Requirements

Bring 6+ years of experience in analytics, business intelligence, data analytics, or strategic operations.
Have 2+ years directly managing analyst reports, including performance management, hiring, and career development; this is not a first-time manager role.
Demonstrate advanced, hands-on SQL skills, including writing, QA, and optimization of complex queries and reviewing others' work.
Have working fluency in dbt, including building and reviewing models, making design decisions, and identifying issues.
Have experience owning complex cross-functional projects from an ambiguous ask through a stakeholder-ready recommendation.
Have experience building and maintaining dashboards in Sigma, Tableau, or a comparable tool.
Demonstrate stakeholder management skills, including clearly communicating complex problems to senior leaders and proposing alternative approaches when warranted by the data.
Maintain high attention to detail and catch data quality issues before they affect leadership reporting.
Preferred: experience supporting AI/ML workflows, agent builds, or automation initiatives.
Preferred: Python or a similar scripting language for data manipulation and automation.
Preferred: familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
Preferred: experience in gaming, fintech, or sports.
Preferred: bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.

Responsibilities

Manage, coach, and develop a team of 2–3 analysts, including goal setting, feedback, performance management, and career development.
Review SQL, dbt models, dashboards, and analyses to set the team's technical and analytical standards.
Prioritize the team's Ops stakeholder request queue and escalate broader tradeoffs and resourcing decisions when needed.
Lead complex cross-functional analytical initiatives from ambiguous business problems through analysis and decision-ready recommendations.
Diagnose root causes in data and translate findings into concrete recommendations.
Lead scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.
Set standards for Ops dashboards and reporting, including clear KPIs and documented assumptions.
Present findings to operational stakeholders and senior leadership, and defend methodology.
Own the quality and reliability of the team's dbt models and analytical datasets; partner with central data teams on upstream pipelines and reliability issues.
Partner on the Ops analytics AI roadmap, support agent development with trusted data and evaluation frameworks, track agent performance, and help define where human review is needed.
Help replace recurring manual data pulls with maintainable reporting, automation, and alerting.

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