From the listing
About the role
Mode is a fast-growing technology company building businesses at the intersection of AI, data, mobile apps, and digital experiences. Our portfolio of mobile apps and digital products reaches 100M+ monthly active users across a global audience.
Mode was recognized by Deloitte as the #1 fastest-growing software company in North America on the 2023 Technology Fast 500. Today, we are building our next phase of growth, including expanding Mode's AI and data business.
We’re looking for a Senior Data Analyst to be the analytical partner to our Monetization team. You’ll own how we measure and grow revenue across our portfolio of mobile apps and web properties, spanning subscriptions, in-app purchases, advertising, and partner offers, and turn that into clear recommendations on pricing, packaging, and revenue mix.
What you'll do
- Design, build, and maintain common datasets and data pipelines that strengthen self-service analytics and enable data-driven decision making across the organization.
- Improve data quality, accuracy, reliability, and documentation to strengthen self-service analytics.
- Own revenue and monetization metrics across the portfolio, including ARPU/ARPDAU, LTV, trial-to-paid conversion, renewal and churn rates, refunds, and revenue mix by source.
- Design and analyze pricing, packaging, and paywall experiments (price points, trial length, plan structure, paywall placement and copy), and read results with statistical rigor.
- Build subscription cohort and LTV models that inform pricing decisions and feed back into UA bidding and payback targets.
- Analyze ad monetization performance, including eCPM, fill rate, impressions per user, and mediation/bidding setup, and balance ad revenue against retention and user experience.
- Measure the economics of partner offers and rewards, including revenue earned vs. rewards paid out, to keep the rewards model profitable.
- Reconcile revenue data across app stores, subscription platforms, ad networks, and internal systems, and investigate discrepancies.
- Partner with Monetization, Product, and GMs on revenue forecasting, opportunity sizing, and roadmap prioritization.
- Communicate analytical findings through clear, compelling narratives to drive alignment, inform prioritization, and deliver measurable business impact.
What they're looking for
- Analytical excellence to dissect complex, ambiguous problems and uncover actionable insights.
- Solid SQL and Python programming skills, and experience working with large-scale production data.
- Business acumen to translate data and analysis into business impact.
- Exceptional written and verbal communication skills to effectively collaborate in a highly cross-functional environment.
- 4+ years in analytics.
- Experience with LTV modeling and revenue forecasting on subscription and ad monetized apps/games.
- Track record of designing and interpreting pricing or paywall A/B tests, including pitfalls like novelty effects, long conversion windows, and LTV vs. short-term conversion tradeoffs.
- Familiarity with app store subscription mechanics (App Store/Google Play billing, trials, grace periods, renewals, refunds) and subscription platforms (e.g., RevenueCat, Superwall, Adapty).
- Alignment with our core values: Accountable, Action-driven, Caring, Curious, Thorough.
- Analytical, Pragmatic, Curious, Communicative, Action-Driven, Collaborative.
Nice to have
- Preferred background in monetization, pricing, or revenue analytics for consumer subscription apps & games.
- Experience with ad mediation (AppLovin MAX, ironSource/Unity LevelPlay, AdMob), web checkout or web-to-app payments, rewards or loyalty program economics, Big Data tools (Redshift/Spark/Airflow), dashboarding tools (Looker, Tableau), experiment design, predictive modeling, log analysis, AI, or experience in tech or startup environments.
Benefits, as listed
The hot takeJeff's read on Mode Mobile
Here's the positives I've found on Mode Mobile:
- Strong Glassdoor score (4.2).
- Clear remote work policy.
They're global: "Our team works remotely around the 🌎, with members in the U.S., Mexico, Argentina, Brazil, Poland, India, and more."
Here's the negatives I've gleaned:
"We operate at startup speed"...usually translates to burnout in my experience.
"A fast-moving, supportive, global remote environment"...2/3 of this is good, "fast-moving" is always a concern.
They talk a lot more about their company rather than why you should work there. SELL ME!