Sr. Data Analyst - User Acquisition at Mode Mobile

Job description

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 User Acquisition team. You’ll own the measurement of how we acquire users across our portfolio of mobile apps and web properties — from attribution and channel performance to cohort LTV and payback — and turn that into clear recommendations on where to spend the next dollar. The ideal candidate has exceptional analytical skills, strong SQL and Python skills, deep familiarity with mobile app marketing data, and can bring rigor to data quality, analysis and storytelling. 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 UA performance measurement across paid channels (e.g., Meta, Google, TikTok, AppLovin, Unity), including CPI/CAC, ROAS, retention, and payback by channel, campaign, geo, and creative Build and maintain predictive LTV models and cohort curves that let the UA team make bid and budget decisions on early signals Reconcile and validate data across MMPs, ad networks, and internal event data, and investigate discrepancies in attribution, installs, and revenue Analyze web-to-app and web funnel performance, from landing page to install to first reward or engagement, and identify where users drop off Design and read incrementality tests, geo-holdouts, and creative or landing-page A/B tests to measure true lift beyond last-touch attribution Monitor traffic quality and flag anomalies, including fraud, low-quality sources, and post-install behavior that doesn’t match expectations Partner with the UA team on budget allocation and channel mix scenarios, and translate findings into clear spend recommendations 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, with at least 2 years supporting user acquisition or performance marketing for mobile apps Hands-on experience with at least one MMP (AppsFlyer, Adjust, Singular, or Branch) and an understanding of attribution windows, re-engagement, and postbacks Experience building dashboards, LTV/payback models and cohort analyses Familiarity with growth marketing concepts such as: A/B Testing, Causal analysis, Incrementality, Inferential statistics, MMM etc, iOS SKAN & incoming privacy changes Nice to have: experience with Big Data tools (Redshift/Spark/Airflow), 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 influence on a sizable UA budget allocation across a portfolio of apps. 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.

Requirements

Must-haves

Who We Are ( Mode.Inc )
Our Team and Culture Drive Our Success
You can read more about our team and how we work here .
The ideal candidate has exceptional analytical skills, strong SQL and Python skills, deep familiarity with mobile app marketing data, and can bring rigor to data quality, analysis and storytelling.
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 UA performance measurement across paid channels (e.g., Meta, Google, TikTok, AppLovin, Unity), including CPI/CAC, ROAS, retention, and payback by channel, campaign, geo, and creative
Build and maintain predictive LTV models and cohort curves that let the UA team make bid and budget decisions on early signals
Reconcile and validate data across MMPs, ad networks, and internal event data, and investigate discrepancies in attribution, installs, and revenue
Analyze web-to-app and web funnel performance, from landing page to install to first reward or engagement, and identify where users drop off
Design and read incrementality tests, geo-holdouts, and creative or landing-page A/B tests to measure true lift beyond last-touch attribution
Monitor traffic quality and flag anomalies, including fraud, low-quality sources, and post-install behavior that doesn’t match expectations
Partner with the UA team on budget allocation and channel mix scenarios, and translate findings into clear spend recommendations
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, with at least 2 years supporting user acquisition or performance marketing for mobile apps
Hands-on experience with at least one MMP (AppsFlyer, Adjust, Singular, or Branch) and an understanding of attribution windows, re-engagement, and postbacks
Experience building dashboards, LTV/payback models and cohort analyses

Nice-to-haves

Nice to have: experience with Big Data tools (Redshift/Spark/Airflow), experiment design, predictive modeling, log analysis, AI, or experience in tech or startup environments
We provide individual bonuses in accordance with our Company Bonus Program.

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