Sr. Product Operations & Insights Analyst
| Company | Auctane |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ years of experience in data analytics, product analytics, business intelligence, or a related field.
- Strong proficiency in SQL, Python, or R for data analysis.
- Expertise in BI tools (Looker, Tableau, Power BI, Amplitude, or similar) for dashboard creation and reporting.
- Deep understanding of financial modeling, revenue analysis, and strategic forecasting.
- Experience presenting insights to the Board of Directors and ELT, with a strong ability to communicate complex data clearly.
- Strong background in A/B testing, cohort analysis, and experimentation frameworks.
- Proven ability to translate data into compelling narratives for non-technical stakeholders.
- Strong project management skills with a data-driven and business-impact mindset.
Responsibilities
- Define, track, and optimize key product and business metrics to measure performance, engagement, and growth across Auctane’s product portfolio – including Product Market Fit and Product Engagement.
- Establish data-driven frameworks that enable the product team to prioritize initiatives based on measurable impact.
- Build and maintain product metric waterfalls and cohort analyses to understand user behavior, retention, and monetization.
- Conduct deep-dive analyses to uncover trends, diagnose issues, and identify strategic areas of opportunity within the Auctane product portfolio to drive business impact.
- Own the Auctane Product Organization’s performance reporting to the Board of Directors and Executive Leadership Team.
- Develop clear and compelling data-driven narratives that communicate business impact, trends, and opportunities to executives.
- Standardize board-ready dashboards and reports, ensuring accuracy, consistency, and clarity in key performance updates.
- Work closely with finance and analytics teams to align financial forecasting and revenue impact models with product initiatives.
- Serve as the primary bridge between product and analytics, ensuring alignment on data priorities, methodologies, and insights.
- Partner with engineering, product, and data science teams to improve data instrumentation and tracking.
- Work with product managers to define and validate baseline metrics, setting clear quarterly and annual targets for performance measurement.
- Translate complex data into actionable insights and recommendations for product teams, executives, and cross-functional stakeholders.
- Develop and refine experimentation frameworks (A/B testing, feature impact analysis, etc.) to optimize product decisions.
- Build and maintain interactive dashboards that provide real-time visibility into product and business performance.
- Establish baselines for key product and business metrics, ensuring teams have clear benchmarks for measuring success.
- Lead quarterly and annual forecasting efforts, ensuring alignment with company-wide goals and business strategy.
- Ensure data integrity, governance, and accuracy across all reporting systems.
- Prepare and present data-driven recommendations to the Product team.
- Identify and quantify new opportunities for revenue growth, user engagement, and operational efficiency.
- Create predictive models and scenario planning tools to support strategic decision-making.
- Establish best practices for measuring success and defining ROI on product investments.
Preferred Qualifications
- Data analysis in SQL, presentation of data
- Experience working with an income statement or knowledge about revenue and business drivers
- Presenting data in a BI tool (preferably Looker)
- Modeling the financial impact of strategic initiatives, including sensitivity analysis
- Generalized linear modeling or clustering
- Relational database concepts with expert knowledge of SQL
- Modeling investment opportunity or financial planning
- One or more (1+) years of experience managing and developing business intelligence solutions, such as Tableau, Looker, or Sisense for Cloud Data Teams (preferably Looker)
- Experience in a fast-paced, global environment
- Strong track record of learning new tools, technologies, and frameworks
- Experience with building reports and dashboards in Salesforce