Senior Analytics Manager

Talantir; United States; On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Competitive salary

Monthly wellness stipend

Health insurance

Child/Elder care stipend

Free Everyday Dose

Generous PTO

Job summary

Talantir is seeking a Senior Analytics Manager to centralize performance data, define KPI standards, and build scalable data infrastructure across Growth, Retail, Marketplace, Operations and Finance. This high-ownership IC role offers visibility and the potential to scale a team as the function matures.

You will own data modeling, dashboards in Looker, and cross-functional performance insights, partnering with Growth, Finance and Retail to drive margin, CAC, LTV, and ROI.

Qualifications

• 6-10+ years of analytics, BI, or performance analytics experience.
• Strong business Econ and unit economics understanding.
• Hands-on data modeling and dashboard design in BI tools.
• Proficiency with SQL and large datasets.
• Excellent communication and ownership mindset.

Responsibilities

• Own data & analytics infrastructure across multiple business segments.
• Build and maintain executive dashboards and KPI framework.
• Drive cross-functional performance insights with Growth, Finance, Retail, and Marketplace teams.
• Develop forecasting, modeling, and advanced analytics; leverage AI for insights.
• Provide actionable recommendations for capital allocation and margin expansion.

Skills

Advanced SQL

Looker/BI tools

Excel/Sheets

Communication

Ownership mindset

Tools

Looker

Data Warehouse

Data Lake

Job description

About The Role

We're evolving our Finance organization beyond traditional reporting to build a true Finance & Analytics function — one that powers smarter, faster, data-driven decisions across the business. We're looking for a Senior Analytics Manager to centralize performance data, strengthen our analytical foundation, and translate complexity into clarity. You will not just build dashboards. You will build clarity. This role owns performance truth across the company — defining KPI standards, building scalable data infrastructure, conducting deep performance analysis, and enabling leadership to make faster, more confident decisions. This is a high-ownership individual contributor role with visibility across Growth, Retail, Marketplace, Operations, and Finance — and the opportunity to build and scale a team over time as the function matures.

What You'll Do

Own Data & Analytics Infrastructure

Centralize and structure data across DTC, retail, marketplace, paid media, subscription, operations, and finance systems Partner cross-functionally to consolidate fragmented reporting into a scalable data warehouse and/or data lake environment Build robust data models supporting contribution margin, cohort analysis, and channel-level performance visibility Establish and document standardized KPI definitions across departments Reduce reliance on manual spreadsheets and ad hoc reporting

Build Decision-Driving Dashboards & KPI Frameworks

Design and maintain executive-level dashboards in BI tools, especially Looker Own the company-wide KPI framework, including:Blended and channel CACContribution margin by channel, product, and customerCohort-based LTV and paybackMarketplace and retail profitabilityInventory productivity and working capital visibilityProduce clear weekly and monthly executive summaries Monitor leading vs. lagging indicators and proactively surface risks and opportunities

Drive Cross-Functional Performance Insights

Partner with Growth to evaluate acquisition efficiency, creative performance, and media mix effectiveness Support Finance with revenue modeling, margin expansion analysis, and investment evaluation Partner with Retail and Marketplace teams to assess trade spend effectiveness and promotional ROI Analyze syndicated retail data to identify share trends, velocity shifts, distribution changes, and competitive insights Deliver actionable recommendations that inform capital allocation and strategic trade-offs

Forecasting, Modeling & Advanced Analytics

Build and enhance financial and operational models grounded in strong business economics and unit economics principles Support scenario planning and long-range forecasting Develop predictive analyses such as LTV modeling, churn analysis, demand forecasting, and margin simulations Leverage AI tools to improve forecasting accuracy, automate insight generation, and detect anomalies Continuously elevate the analytical sophistication of the organization

What Success Looks Like

A centralized, trusted performance dashboard ecosystem Clearly defined KPI standards adopted company-wide A scalable warehouse or data lake foundation that reduces fragmentation Leadership able to answer core performance questions in minutes — not days Marketing, retail, and finance decisions tied directly to contribution margin, cash flow impact, and payback visibility Proactive insights that drive smarter capital allocation and margin expansion

Requirements

We're Looking For Someone Who Brings 6-10+ years of experience in analytics, business intelligence, or performance analytics Experience in CPG, Food & Beverage, subscription businesses, DTC, retail, or multi-channel consumer brands Strong understanding of business economics, unit economics, and contribution margin drivers Strong SQL skills and experience working with large, complex datasets Experience building dashboards in Looker or similar BI tools Advanced Excel / Google Sheets proficiency Experience building or improving data warehouse or data lake environments Ability to synthesize raw data into clear business implications and executive-ready insights Comfort operating as a hands-on individual contributor in a fast-paced environment Strong communication skills and an ownership mindset

Bonus If

Experience with subscription analytics platforms (e.g., Skio) Familiarity with accounting and ERP systems (e.g., QuickBooks Online, NetSuite) Experience with attribution and marketing analytics platforms (e.g., Northbeam, Converge) Experience with marketplace analytics (Amazon, TikTok Shop) Experience working with syndicated retail data (e.g., Nielsen, SPINS, IRI) Exposure to AI-driven analytics, forecasting tools, or automation platforms

Why This Role Matters

As we scale across DTC, Retail, Marketplace, and emerging channels, performance complexity increases. The Senior Analytics Manager will build the backbone of our Finance & Analytics function — aligning marketing efficiency with margin, connecting channel performance to cash flow, and enabling leadership to operate with clarity, precision, and confidence.

Benefits

• Competitive salary
• Monthly wellness stipend
• Health insurance
• Helper (child/elder care) stipend
• Free Everyday Dose
• Generous PTO