Marketing Analytics Manager @ Casino Gaming Startup | Series A | $100-130K Base

blazetalent.com·October 6, 2026·

🌍 Remote · United States - RemoteFull-timeData & Analytics

💰 $100,000 – $130,000/yr

PythonGoSQL

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At a glance

Who can apply

United States

Work arrangement

Remote · United States - Remote

Employment type

Full-time

Experience

3+ years (as stated by the employer)

Salary

$100,000 – $130,000/yr · published by the employer

Checked against the employer's source on October 15, 2026. Details come from the employer's posting; confirm them on the application page.

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Job Description

Marketing Analytics Manager— High-Growth Gaming Startup

Location: Remote (US-based, must be available for 9:30am ET standup)

Compensation: $100,000–$130,000 base + equity

Experience Level: 3+ years professional experience required

About the Company

The Role

What You’ll Do

• Paid Social Analytics & Optimization: Monitor and optimize paid social campaigns across Meta Ads Manager and TikTok Ads Manager—audience segmentation, budget allocation, and A/B testing—and flag data-feed or tracking issues that affect measurement accuracy.
• Paid Search Agency Collaboration: Serve as the analytics point of contact for paid search agencies, translating performance and player-value trends into budget, bid-strategy, and keyword recommendations, and flagging quality-score optimization opportunities.
• Affiliate & Creator Reporting: Own partner- and creator-level performance reporting, including postback/S2S tracking accuracy and payout reconciliation, and partner with growth marketing on incrementality testing to separate genuine lift from last-click credit.
• Data Analysis & Performance Reporting: Build and maintain a de-duplicated attribution table spanning Paid, Affiliate, and Creator, consolidating spreadsheet reporting into a warehouse-backed source of truth, with BI dashboards and a shared metric dictionary linking spend to player value (CAC, LTV, ROAS, etc.).
• Cross-Platform Strategy, Budget Pacing & Forecasting: Develop cohesive budget-pacing forecasts across Paid Social, Paid Search, Affiliate, and Creator with the Head of Analytics and FP&A, supporting CAC payback tracking and evaluating lifecycle-channel (email/SMS/push) integration.

What They're Looking For:

• 3+ years in marketing/growth or paid media analytics, with hands-on measurement experience across Meta Ads Manager, TikTok Ads Manager, and Google Ads—ideally in mobile gaming, iGaming, or a subscription/app-based consumer product.
• Strong SQL skills and advanced Excel proficiency (pivot tables, VLOOKUP/XLOOKUP, complex formulas, data modeling) to derive actionable insights and build ad hoc reporting.
• Direct experience with affiliate tracking/attribution platforms (e.g., Impact, Everflow, CJ Affiliate, Tune/HasOffers) and mobile measurement partners (e.g., AppsFlyer, Branch, Adjust).
• Experience building de-duplicated, multi-touch, or waterfall attribution across overlapping channels—specifically reconciling paid, affiliate, and creator claims on the same conversion.
• Proficiency with a modern BI/visualization tool (Metabase, Looker, or similar) and GA4 (Google Analytics 4).
• A professional background from a top-tier marketing/media agency, a high-growth gaming or consumer app company, or a paid marketing platform/tool provider.
• A highly organized self-starter who is comfortable working with ambiguous, evolving data infrastructure—this is a build-from-near-scratch environment, not a mature, fully-instrumented stack.
• Excellent written and verbal communication skills, with the ability to manage multiple concurrent workstreams and thrive in a fast-paced environment.
• Bachelor's degree in Data Science, Marketing, Economics, Business Administration, Statistics, or a related field.

Bonus Points For

• Experience in a regulated gaming/sweepstakes environment.
• Experience reporting on creator/influencer partnership codes, payouts, or contracts.
• Familiarity with ad platform APIs (Meta Marketing API, Google Ads API, TikTok Ads API).
• Experience with Python and navigating large datasets.

Why This Role Is Exciting

• Remote-first and flexible. The team cares about outcomes, not hours. Work from anywhere in the U.S., or utilize the hybrid hubs in NYC and Miami.
• Greenfield opportunities. This is not a legacy stack. There’s massive room to shape data architecture, tooling, and processes from the ground up.
• Top-tier backers + market traction. The company is operating in an incredibly profitable industry and is already live with real users and revenue.
• Founding-team quality. You’ll work with some of the most capable operators in the space, all with prior startup successes under their belts.