Senior Manager, Forecasting & Analytics

What You'll Do

• Forecasting & Accuracy
  • Build and maintain rolling revenue forecasts at the SKU / channel / geography level across Aura's portfolio, using SQL-based data and statistical methods
  • Refresh forecasts on a regular cadence and ahead of major launches, promotions, and peak periods, incorporating POS, sell-through, marketing performance, and inventory signals
  • Track forecast accuracy (MAPE, bias, WAPE) at the SKU / channel / week grain, set internal accuracy targets, and continuously refine methodology
  • Use statistical forecasting techniques to generate baselines and identify opportunities for model improvement
• Marketing & Channel Analytics
  • Analyze channel-level acquisition economics (CPA/CAC, payback) and surface where spend is - and isn't - driving profitable demand
  • Quantify the demand impact of campaigns, promotions, and launches, and fold those signals into the forecast rather than treating them as noise
  • Partner with Marketing to pressure-test attribution and channel-mix assumptions against actual sell-through, and support incrementality / holdout testing where it matters
  • Maintain the link between marketing spend, demand signal, and forecast as a repeatable input, not a one-off analysis
• Business Insight & Decision Support
  • Review and validate forecasts in collaboration with Sales, Marketing, and Product, ensuring alignment with product launches, promotional calendars, and market trends
  • Prepare executive-ready analysis explaining forecasts, variances, channel efficiency, and recommendations, and provide regular updates to the CRO and Revenue Leadership team
  • Champion automation and process improvements that make the team's reporting and analysis faster and more reliable

Required

• Bachelor's degree in Business, Statistics, Economics, Data Science, Marketing, or a related field
• 5–7+ years in revenue/marketing analytics, forecasting, business intelligence, or a comparable analytical role - ideally in consumer goods, consumer electronics, or DTC/e-commerce
• Demonstrated ownership of a forecast or analytical model across multiple channels, with a track record of measurable accuracy or business impact
• Expert-level proficiency in Excel or Google Sheets (advanced functions, pivot tables, data modeling, large dataset manipulation)
• Working proficiency in SQL - comfortable querying source systems and BI tools (Metabase, Looker, Snowflake, BigQuery, or similar) without depending on an analyst
• Comfort working with marketing performance and channel-economics data (CPA/CAC, ROAS) as analytical and forecast inputs
• Strong analytical judgment with attention to detail and the ability to translate data into clear, actionable business recommendations
• Excellent communication skills, with the ability to present complex analyses clearly to both technical and non-technical audiences, including executive leadership
• Proactive problem-solver who thrives in a fast-paced, entrepreneurial environment with shifting priorities

Preferred

• Experience with marketing-mix modeling or attribution analysis, incrementality / holdout testing, or channel-efficiency modeling
• Familiarity with marketing data sources (GA4, ad platforms, Klaviyo, or attribution tools)
• Knowledge of statistical forecasting methods and time-series analysis
• Basic programming, scripting, or vibe-coding skills (Python, R, Claude Code) for data analysis and forecasting
• Experience with data visualization and analytics tools (e.g., Tableau, Power BI, Looker) in addition to Metabase
• Multi-market / international analytics experience
• Consumer electronics or hardware industry experience

Benefits & Perks

• Generous stock option program - begins vesting after 1 year
• Comprehensive health plans - Aura pays 100% of the premium for employees and 50% for families
• 401(k) with match - Aura fully matches the first 4% of your salary contributed
• Lunch and snacks - In SF & NY Offices
• $150 monthly fitness allowance - gym, coaching, etc
• Flexible time off - and you’re required to take at least 10 days off each year

Note: This role is for full-time, US-based employees. Benefits may differ for part-time or international roles.