Sniffies · 7 hours ago

Data Analyst

United States

Full-time

Remote

Mid, Senior Level

$85K/yr - $115K/yr

5+ years exp

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Responsibilities

Partner with stakeholders across departments to identify and prioritize business questions, ensuring insights align with Sniffies’ strategic initiatives.

Analyze revenue streams to identify growth opportunities and areas for optimization, working closely with Data Engineering to ensure data accessibility and accuracy.

Collaborate with the Marketing team to assess paid media performance, provide data-driven recommendations for spend allocation, and improve campaign ROI.

Conduct product usage analysis to understand trends in user behavior and product usage to influence Product strategy and relevant KPIs

Work cross-functionally with the Product and Marketing teams to measure the success of strategic initiatives and provide insights that enhance product functionality and marketing effectiveness.

Deliver comprehensive reports to stakeholders, translating complex data insights into clear, actionable recommendations that align with Sniffies' strategic goals.

Partner with Product and Marketing teams to design experiments and analyze results in order to make data-driven launch decisions.

Work with Data Engineering to build and validate predictive models for customer lifetime value, churn prediction, and user segmentation, supporting retention and growth initiatives.

Collaborate with Data Engineering to ensure data accuracy, consistency, and availability across different sources and platforms.

Influence data collection processes and best practices to maintain a high standard of data hygiene, supporting stakeholders in understanding and utilizing data effectively.

Develop frameworks and scalable processes to drive data-driven decision-making and prioritization.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisA/B Testing MethodologiesData ModelingStatistical AnalysisData Visualization ToolsMarketing AnalyticsRevenue Optimization StrategiesPythonConsumer-focused Tech ExperienceMobile Apps ExperienceIndependent Project Leadership

Required

5+ years of experience in a data analyst or similar role, ideally with experience in subscription-based or digital product analytics.

Experience with data visualization tools.

Strong knowledge of A/B testing methodologies, data modeling, and statistical analysis.

Familiarity with marketing analytics and revenue optimization strategies.

Excellent communication skills, with the ability to work cross-functionally and translate complex data insights into clear, actionable recommendations.

Self-motivated, detail-oriented, and comfortable working in a remote team environment.

Demonstrates adaptability, proactive problem-solving, and comfort in navigating ambiguity and shifting priorities to achieve impactful results.