Director of Data and Analytics

Seattle, WA (Hybrid)

$210,000 - $250,000 base salary plus bonus

Sniffies is a fast-growing, location-based GBTQ+ app that connects people in real time. We're building a community rooted in openness, authenticity, and self-expression, and a culture that values autonomy and trust, for our users and our team alike. We move quickly, we're small, and we take supporting our community seriously.

About the role

This isn't a role where you inherit a mature analytics function and keep it ticking over. You'll be building it. You'll set the strategy, hire the team, and make trusted data central to how Sniffies makes decisions.

We're looking for someone who has done the work themselves, writing the SQL, building the models, and standing up the dashboards, and then gone on to build and lead the team that took it further.

You'll work directly with executive leadership and shape how we apply AI to analytics and operations as we grow.

What You'll Do

Build the function

• Set a data and analytics strategy and roadmap tied to company priorities, product plans, and growth goals.
• Hire, lead, and develop a small, high-performing team, and put in place the tools and operating practices that let it scale.
• Prioritize by business impact, balancing what the company needs now with the capabilities it will need next.

Make the data trustworthy

• Partner with Engineering on architecture, pipelines, warehousing, modeling, and product instrumentation.
• Establish consistent metric definitions, data quality standards, and validation so every team works from the same numbers.
• Expand self-service reporting while holding a high bar on governance, privacy, security, and responsible data use.

Turn data into better decisions

• Deepen our understanding of engagement, retention, conversion, and monetization, and translate it into product and growth recommendations.
• Strengthen experimentation, cohort and funnel analysis, and the measurement of product changes, so teams can tell real results from noise.
• Partner with Marketing and Finance on acquisition efficiency, attribution, subscriptions, churn, lifetime value, and forecasting.
• Work with Trust & Safety to define meaningful safety metrics, evaluate interventions, and surface emerging risks.
• Build executive dashboards and scorecards that clarify priorities and support accountability.

Put AI to practical use

• Identify and deliver real applications of AI, predictive analytics, and automation that cut manual reporting and speed up insight.
• Evaluate emerging tools against clear business needs and measurable outcomes, rather than adopting them for novelty.
• Set the guardrails for AI-enabled analytics, covering evaluation, privacy, and human oversight, so teams adopt new capabilities with confidence.

Be a strategic partner

• Advise leadership with clear recommendations grounded in rigor, business context, and an honest read on uncertainty.
• Challenge assumptions constructively and make sure insight leads to action.

What You'll Bring

• 12–15+ years in analytics, business intelligence, data science, or a related field, with substantial experience leading teams.
• A career that started hands-on: you've built data and analytics capabilities as an individual contributor before moving into leadership.
• A track record of building or scaling an analytics function in a growing tech company, including hiring, coaching, and developing talent.
• A strong grasp of modern data architecture, including cloud warehouses, transformation, analytics engineering, and BI platforms.
• Advanced SQL and working Python. Amazon Quick Sight experience is a plus, and comparable platforms are equally welcome.
• Deep experience in product analytics, experimentation, KPI development, and the drivers of consumer engagement and monetization.
• Experience applying AI, machine learning, or advanced statistical methods to business problems, and the judgment to know their limits.
• Strong communication skills and commercial instincts, with a record of influencing senior leaders and explaining technical findings to nontechnical audiences.
• Comfort moving between strategy and hands-on execution in an entrepreneurial environment.

Nice To Have

• Experience in consumer tech, social or dating platforms, marketplaces, or subscription businesses.
• Experience introducing AI-assisted analytics or scaling an experimentation program.
• Experience building privacy-conscious data practices for sensitive or identity-driven products.

Why this role

You'd be joining a small team at a moment when the foundations you lay will shape how the whole company works. You'll work directly senior leadership and real influence over product and business strategy. This role owns how Sniffies understands itself: the numbers, the definitions, and the evidence that the big decisions run through.

We're an equal opportunity employer and welcome applicants of every background, identity, and experience. If this role excites you but you don't tick every box, we'd still love to hear from you.