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    Job · 20982117

    REMOTEFULLTIME

    Sr. Data Analyst - Monetization (Remote)

    Mode Mobile

    Mode Mobile

    Remote · remote · Posted 8d ago

    Sourced fromGreenhouse
    Not disclosed4+ yrsfulltimeRemote

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    Section · 01

    About this role

    Who We Are ( Mode.Inc )

    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. We continue to accelerate growth through product innovation, strategic acquisitions, and emerging business opportunities.

    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 and developing direct relationships with companies that can benefit from the data and capabilities we have built.

    Our Team and Culture Drive Our Success

    Our team is the heart of our culture.  We value innovation, collaboration, and curiosity, with a passion for getting things done.  We strive to hire and cultivate the best team members and foster a culture of open communication and transparency.  We are driven and hard-working but also committed to having fun along the way.  We allow OKRs to guide us, assume positive intent, sometimes agree to disagree and commit, honor our commitments, seek to accomplish more with less, and encourage everyone to speak up as our team owns our company’s success.

    You can read more about our team and how we work here .

    About the Role

    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. The ideal candidate has exceptional SQL and Python skills, hands-on experience with consumer subscription apps, and the rigor to design pricing experiments that hold up.

    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 You Bring to the Team

    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, preferred background in monetization, pricing, or revenue analytics for consumer subscription apps & games

    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)

    Nice to have: experience with ad mediation experience (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

    Alignment with Our Core Values:

    ​​Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You are consistent in your work, transparent in your actions, and communicate effectively. You follow through on commitments and strive for continuous improvement.

    Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact.  You take initiative, roll up your sleeves, and get things done.

    Caring: You genuinely care about yourself and others, our business and craft, our mission and vision, and are passionate in heart and mind. You understand the importance of our team and strive to create a positive, supportive work environment.

    Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better.  You're a lifelong learner with a thirst for knowledge and a constant desire to improve.

    Thorough: Your work is thoughtful, impactful, timely, accurate, and complete.  You pay attention to detail, are meticulous, and ensure quality work and compliance.

    You’ll Thrive Here If You Are

    Analytical  

    Pragmatic  

    Curious  

    Communicative  

    Action-Driven  

    Collaborative  

    Why Join Mode Mobile

    High ownership and autonomy across business units  

    Direct impact on product, revenue, and user experiences  

    Strong partners across engineering, product, growth, and content

    Opportunities to shape Mode’s analytics function and data culture  

    A fast-moving, supportive, global remote environment  

    We Believe in the Following Workplace Norms

    Allow OKRs to Guide Us

    Assume Positive Intent

    Agree to Disagree & Commit

    Set New Precedents

    Accomplish More with Less

    Hold Yourself & Others to High Standards

    Speak Up

    Be Resourceful

    Follow the 80/20 Rule

    What We Are Offering

    We are a 100% remote-first, global company.

    A competitive compensation package.

    We offer generous perks & benefits to team members. 

    Participation in the Company's equity plan (for full-time team members).

    We provide individual bonuses in accordance with our Company Bonus Program.

    Work with energetic, passionate, and results-driven people.

    Celebrate team members' personal and work milestones.

    Remote social activities, including virtual coffee buddies. 

    Bonusly - We use Bonusly as a way to recognize and reward team members for their hard work and commitment.

    Weekly Wednesday Get Stuff Done Days (No Meetings).

    Open PTO, generous Company Holidays, and Wellness Days (for full-time team members).

    If we just described you and your perfect role, we'd love to talk with you. We have a lot to accomplish this year and look forward to making headway and creating success together!

    Mode.Inc does not accept/pay fees for unsolicited resumes from third-party agencies/vendors.

    Our company is an Equal Employment Opportunity (EEO) employer. We are committed to providing a work environment free of discrimination and harassment. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and strive to create an inclusive environment for all team members.

    Sourced from greenhouse

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    Section · 02

    Skills

    Apache Sparkredshiftapache airflowroadmapPythonTableauSQLLookerForecasting

    Section · Company

    About Mode Mobile

    Mode Mobile

    Mode Mobile

    51-200

    employees

    2017

    9 years old

    Chicago, Illinois

    United States

    About

    Mobile Mode develops software that enables consumers to earn supplemental income and access capital.

    Find them on

    Website

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