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Salary: USD 135,044 - 158,875 / annual
Fetch is a rewards platform that has distributed over $1 billion in Fetch Points to users and processes more than 13 million receipts daily, providing visibility into $212 billion in gross merchandise value. The company operates as an outcomes-based advertising platform helping brands acquire and retain consumers, backed by investors including SoftBank, ICONIQ, DST, and Greycroft.
The Operations Data Manager leads Fetch's centralized Operations Analytics team, reporting to the SVP of Operations. This role is responsible for transforming operational data into actionable insights that drive strategy and process improvement across Ad Operations, AI Operations, Platform Integrity, and User Support.
Key responsibilities include:
**Lead the Operations Analytics Capability:** Establish and evolve the team's operating model, including intake, prioritization, and delivery rhythms. Define team standards for analysis quality, KPI definitions, dashboard design, and documentation. Own intake and prioritization of analytics requests, balancing ad-hoc needs with strategic work. Build repeatable mechanisms that turn operational data into prioritized recommendations with measurable business impact.
**Lead & Develop a High-Performing Team:** Hire, onboard, coach, and develop a team of Operations Data Analysts. Create clear goals, quality standards, and development plans. Review SQL, analyses, and deliverables for accuracy and actionability. Foster a culture of curiosity, analytical rigor, and continuous improvement.
**Partner with Operational Leaders:** Work closely with Operations leaders to understand data needs, define and track KPIs, and design reporting solutions. Provide insights informing operational strategy, process improvements, staffing and capacity planning, and day-to-day decisions. Communicate findings and recommendations to cross-functional and senior stakeholders. Contribute to complex analyses and work with new or unstructured data sources as needed.
**Ensure Trusted, Scalable Reporting:** Oversee dashboards and reporting in Hex, Tableau, and Grafana, promoting self-service and consistent metric definitions. Work with engineering to ensure data quality and scope automated data tables and pipelines. Maintain documentation and workflows in Confluence, Jira, and Bitbucket.
**Measure Operational Outcomes:** Define success metrics connecting operational improvements to business outcomes. Evaluate whether process changes delivered intended results and close the loop to improve future decisions.
Within the first 12 months, success is measured by establishing Operations data as a trusted source of insight, building a high-performing team with clear standards, creating a repeatable intake and prioritization model, aligning stakeholders on consistent KPIs and trusted dashboards, partnering with data engineering to improve reliability, and influencing operational decisions with evidence-based recommendations.
**Requirements:**
- 3+ years of experience in Data Analytics, Business Intelligence, Operations Analytics, Strategy, Consulting, or 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 ability to extract, manipulate, and understand large datasets across multiple domains and review others' work
- Experience with Snowflake and familiarity with cloud-based data warehousing solutions
- Experience with HEX, Tableau, or Grafana, with ability to set standards for intuitive dashboards that communicate insights 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 a team
- Knowledge of Atlassian suite including Bitbucket, Confluence, and Jira
**Preferred Requirements:**
- 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
