Operations Data Manager
Fetch
Sourced from Fetch's careers site · Posting last seen October 29, 2026
- Establish and evolve the team’s operating model, including intake, prioritization, and delivery rhythms across the core teams.
- Define team standards for analysis quality, KPI definitions, dashboard design, documentation, and knowledge management.
- Own intake and prioritization of analytics requests, balancing ad-hoc needs with longer-term strategic work and setting clear expectations with stakeholders.
- Build repeatable mechanisms that turn operational data into prioritized recommendations supported by measurable business impact.
- Hire, onboard, coach, and develop a team of Operations Data Analysts.
- Create clear goals, quality standards, and development plans for each analyst.
- Review the team’s SQL, analyses, and deliverables to ensure accuracy, clarity, and actionable recommendations.
- Foster a culture of curiosity, analytical rigor, accountability, and continuous improvement.
- Partner closely with Operations leaders to understand data needs, define and track KPIs, and design reporting solutions.
- Provide insights that inform operational strategy, process improvements, staffing and capacity planning, and day-to-day decision-making.
- Communicate findings, trends, and recommendations to cross-functional and senior stakeholders through clear visuals and compelling narratives.
- Stay hands-on where needed, contributing to complex analyses and work with new or unstructured data sources.
- Oversee dashboards and reporting in Hex, Tableau and Grafana, promoting self-service, consistent metric definitions, and early detection of anomalies.
- Work with engineering to ensure data quality and reliability, and to scope and prioritize automated data tables and pipelines.
- Maintain documentation and team workflows in Confluence, Jira, and Bitbucket so work is repeatable, transparent, and easy to hand off.
- Define success metrics that connect operational improvements to business outcomes.
- Evaluate whether process changes and initiatives delivered their intended results, and close the loop to improve future decisions.
- 3+ years of experience in Data Analytics, Business Intelligence, Operations Analytics, Strategy, Consulting, or a related field.
- 1+ years of experience leading, coaching, and developing analysts or other high-performing teams.
- Demonstrated success building team capabilities, standards, or operating models from concept to execution.
- Strong SQL skills, with the ability to extract, manipulate, and understand large datasets across multiple domains and to review and guide the work of others.
- Experience with Snowflake and familiarity with cloud-based data warehousing solutions.
- Experienced with HEX, Tableau or Grafana, with the ability to set standards for intuitive dashboards that communicate insights, enable self-service, and surface anomalies.
- Proven ability to synthesize ambiguous or unstructured data with business context to drive strategic recommendations.
- Strong communication, facilitation, and stakeholder management skills with senior stakeholders, including defining KPIs and reporting solutions.
- Ability to prioritize and manage multiple competing projects and requests, for yourself and for a team.
- Knowledge of the Atlassian suite, including Bitbucket, Confluence, and Jira.
- Experience in consumer technology, fintech, marketplace, or high-growth digital businesses.
- Experience leading analytics for fraud, customer support, or other operational functions.
- Experience creating automated data tables using dbt and Airflow, and building data pipelines and ETL processes.
- Experience using Python to generate insights.
- Experience leveraging AI and automation to improve insight generation and operational effectiveness.
- Establish Operations data as a trusted source of insight for AdOps, AIOps, Platform Integrity and User Support.
- Build a high-performing team with clear operating standards, quality bar, and scalable processes.
- Create a repeatable intake and prioritization model that balances ad-hoc requests with strategic work.
- Align stakeholders on consistent KPI definitions and trusted, self-service dashboards.
- Partner with data engineering to improve data reliability and automate recurring reporting.
- Influence operational decisions with evidence-based recommendations tied to measurable outcomes.
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
- Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
- Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Skills
- Data Analytics
- Business Intelligence
- Operations Analytics
- Strategy
- Consulting
- team leadership
- team development
- SQL
- Snowflake
- cloud-based data warehousing
- HEX
- Tableau
- Grafana
- dashboard design
- ambiguous data analysis
- unstructured data analysis
- business context
- strategic recommendations
- communication
- facilitation
- stakeholder management
- KPI definition
- reporting solutions
- project prioritization
- Atlassian suite
- Bitbucket
- Confluence
- Jira
- consumer technology
- fintech
- marketplace
- high-growth digital businesses
- fraud analytics
- customer support analytics
- dbt
- Airflow
- data tables
- data pipelines
- ETL
- Python
- AI
- automation
- Data Management
- KPI Reporting
Summary
Leads operations analytics team, building trusted reporting and insights that guide operational decisions, process improvements, and measurable business outcomes.
Job title
Operations Data Manager
Experience level
3+ years
Minimum experience
1+ years
Industry
software
Location
United States · Remote
Salary
$135k–$159k
Listed in the job description
Management role
Yes
- Oct 14, 2026 First posted
- Oct 14, 2026 Live now
As observed on the employer's careers site by ApplyAll. We show every change we've seen including removals.
Posting history
- Oct 14, 2026 First posted
- Oct 14, 2026 Live now
As observed on the employer's careers site by ApplyAll. We show every change we've seen including removals.
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