Senior Data Analyst

Reposted 15 Days Ago
Be an Early Applicant
2 Locations
Hybrid
45K-48K Annually
Senior level
Automotive
The Role
Senior individual contributor responsible for product and marketplace analytics, designing and analyzing A/B and multivariate experiments, building dashboards and automated reports, validating instrumentation, and translating findings into executive-facing recommendations to drive growth and marketplace liquidity.
Summary Generated by Built In

Senior Product Data Analyst

Location: Remote (North American timezones preferred)
Reports to: Director of Data & Analytics

Meet Turno! Since 2016, we’ve made it our mission to simplify and automate short-term rental turnovers. Turno’s SaaS platform and mobile apps provide end-to-end proptech solutions that make STR turnovers efficient and hassle-free. With a team of 150+ teammates across eight countries, we match hosts with vetted local cleaners through our Cleaner Marketplace, featuring over 55,000 independent cleaning professionals worldwide. Join Turno and be part of a forward-thinking company that values innovation, teamwork, and exceptional customer support. At Turno, our core values are our source code:

Turno Source CODE
C - Customer-Obsessed
O - Outcome-Focused
D - Data-Driven
E - Entrusted Ownership

We’re seeking a Senior Product Data Analyst to serve as a strategic partner in shaping and executing our product strategy as part of a growing data team.

This is a high-impact, senior individual contributor role with visibility at the executive level. You’ll work closely with leadership, product, marketing and engineering, proactively surfacing insights and models that unlock our next stage of growth. You’ll run deep analyses that shape growth strategy and will translate complex findings into clear, compelling recommendations for executives.

What You’ll Do

Product Analytics and Experimentation

  • Design, execute, and analyze A/B tests and multi-variant experiments, from hypothesis formulation and experiment configuration to statistical analysis, interpretation, and stakeholder readout.

  • Define and monitor experiment guardrail metrics to detect unintended side effects on marketplace health, user experience, or revenue.

  • Partner with Product and Engineering to instrument tracking, validate exposure logic, and ensure clean experiment populations.

  • Validate product POCs and new feature concepts with data: define success criteria upfront, build measurement frameworks, and deliver recommendations grounded in user behavior, adoption metrics, and business impact.

  • Translate experiment and POC outcomes into clear recommendations backed by data and communicated to senior leadership.

Marketplace Strategy & Optimization

  • Develop frameworks to monitor marketplace health, including supply and demand balance, connection rates, coverage, availability, retention, and transaction frequency.

  • Identify marketplace imbalances, capacity constraints, and opportunities to improve liquidity across regions.

  • Analyze pricing, incentives, and localized market dynamics to recommend strategies that improve conversion, engagement, and revenue.

Business Intelligence and Decision Support

  • Own dashboards and reporting that provide timely visibility into product, marketplace, and international performance.

  • Automate recurring analyses and use AI-enabled tools to improve the speed, scale, and quality of analytical work.

  • Navigate complex and imperfect datasets to uncover trends, inefficiencies, risks, and untapped opportunities.

What We’re Looking For

  • 5+ years of experience in advanced analytics, product analytics, and/or experimentation (marketplace preferred).

  • Experience with AI and machine learning tools to automate insights, conduct experiments, and optimize marketplace performance.

  • Strong SQL (experience with dbt preferable) and Python skills; experience with BI tools (Looker, Tableau, Power BI).

  • Comfortable working with relational and non-relational data to deliver insights.

  • Deep understanding of marketplace dynamics, including liquidity, supply-demand balance, and retention.

  • Exceptional communicator who can influence executives with data-driven storytelling.

Nice To Have

  • Experience with Segment, Statsig and Mixpanel.

  • Experience working in the data side of CRMs (HubSpot, Salesforce, Microsoft Dynamics 365, etc.).

  • Experience analyzing paid acquisition campaigns and marketing KPIs, including conversion rate, ROI, and CAC.

  • Experience developing in LookML.

Why Join Us

  • Impact: Your insights will directly guide where and how we develop our product

  • Ownership: Lead initiatives from strategy through execution.

  • Visibility: Collaborate hand-in-hand with executives on one of the company’s top priorities.

  • Stage: Be part of the defining moment as our marketplace scales globally.

Skills Required

  • 5+ years of experience in advanced analytics, product analytics, and/or experimentation
  • Experience designing, executing, and analyzing A/B tests and multivariate experiments
  • Strong SQL skills (dbt preferable)
  • Strong Python skills
  • Experience with BI tools (Looker, Tableau, Power BI)
  • Experience with AI and machine learning tools to automate insights and optimize marketplace performance
  • Comfortable working with relational and non-relational data
  • Deep understanding of marketplace dynamics (liquidity, supply-demand balance, retention)
  • Exceptional communication and data storytelling skills to influence executives
  • Experience with Segment
  • Experience with Statsig
  • Experience with Mixpanel
  • Experience working with CRM data (HubSpot, Salesforce, Microsoft Dynamics 365)
  • Experience analyzing paid acquisition campaigns and marketing KPIs (conversion, ROI, CAC)
  • Experience developing in LookML
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