Mobile Analytics Lead (Product & Growth)

Leadtech·Remote(Spain)
Data & Analytics
AppsFlyerAdjust

WFA Digital Insight

As the demand for data-driven decision making continues to rise, with a reported 25% increase in mobile analytics roles in the past year, skilled professionals who can drive mobile analytics strategy are in high demand. Leadtech, a pioneer in the tech industry, is seeking a seasoned Mobile Analytics Lead to propel their product and growth analytics forward. With the global mobile analytics market expected to reach

0 billion by 2027, this role offers a unique opportunity to shape the future of mobile analytics. Candidates should be well-versed in mobile product analytics, A/B testing, and predictive modeling, with a strong background in leading high-performing analytics teams. Before applying, consider the importance of collaborating with cross-functional teams, influencing product roadmap decisions, and driving evidence-based decision making.

Job Description

About the Role

The Mobile Analytics Lead role at Leadtech is a pivotal position that requires a seasoned professional to drive the strategy, architecture, and execution of analytics across the company's mobile ecosystem. As a key member of the product and growth teams, this role will partner closely with various stakeholders to unlock insights that shape product strategy and accelerate user and revenue growth. The successful candidate will be responsible for leading the development of a world-class mobile analytics framework, enabling deep understanding of user behavior, experimentation at scale, and predictive insights. The role will involve working closely with product leaders to shape data-informed product strategies, as well as collaborating with engineering teams to ensure high-quality data pipelines and instrumentation frameworks. With a strong focus on driving growth and revenue, this position will require a combination of product thinking, statistical rigor, technical depth, and leadership to build scalable analytics solutions and mentor a high-performing analytics team. As the mobile analytics landscape continues to evolve, this role will be at the forefront of driving innovation and excellence in mobile analytics, with a keen focus on delivering actionable insights that drive business outcomes.

What You Will Do

  • Own the mobile analytics vision and roadmap, ensuring alignment with product growth and business objectives
  • Design scalable measurement frameworks for mobile acquisition, activation, retention, engagement, and monetization
  • Establish best practices for mobile data instrumentation, experimentation, and analytics governance
  • Deliver deep product insights through analysis of mobile user behavior, funnels, and lifecycle metrics
  • Translate complex datasets into clear insights that drive product decisions and measurable growth
  • Partner with product leaders to shape data-informed product strategies
  • Build and scale A/B testing and experimentation frameworks across mobile products
  • Apply advanced statistical methods and causal inference techniques to evaluate product and growth initiatives
  • Champion a culture of experimentation and evidence-based decision making across teams
  • Implement predictive Lifetime Value (pLTV) models to optimize acquisition and monetization strategies
  • Use advanced analytics and modeling to forecast user retention, revenue, and long-term engagement

What We Are Looking For

  • 6+ years of experience in mobile analytics, product analytics, growth analytics, or data science
  • 2+ years of experience leading or mentoring analytics teams
  • Deep expertise in mobile product analytics and user lifecycle measurement
  • Strong experience designing and analyzing A/B tests and experimentation frameworks
  • Advanced proficiency in SQL and experience with large-scale data platforms such as BigQuery, Databricks, or Snowflake
  • Proficiency in Python for statistical analysis, predictive modeling, and automation
  • Experience working with mobile analytics platforms such as AppsFlyer, Adjust, Amplitude, Firebase, or Mixpane
  • Strong understanding of data governance, data quality, and data security
  • Excellent communication and collaboration skills, with the ability to influence stakeholders

Nice to Have

  • Experience with cloud-based data platforms such as AWS or GCP
  • Familiarity with agile development methodologies and version control systems such as Git
  • Knowledge of machine learning algorithms and their applications in mobile analytics
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js
  • Certification in data science, analytics, or a related field

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunities for professional growth and career development
  • Collaborative and dynamic work environment
  • Flexible working hours and remote work options
  • Access to cutting-edge tools and technologies
  • Comprehensive health insurance and wellness programs
  • Generous paid time off and holiday allowance
  • Professional development budget for conferences, training, and education,

How to Stand Out

  • Tip: Develop a strong understanding of mobile analytics platforms such as AppsFlyer and Adjust, and be prepared to discuss your experience with these tools.
  • Tip: Showcase your ability to design and analyze A/B tests and experimentation frameworks, and explain how you have used these skills to drive business outcomes.
  • Tip: Highlight your proficiency in SQL and experience with large-scale data platforms, and be prepared to discuss your approach to data governance and data quality.
  • Tip: Demonstrate your ability to communicate complex technical concepts to non-technical stakeholders, and explain how you have influenced product roadmap decisions through data-driven insights.
  • Tip: Prepare to discuss your experience with predictive modeling and machine learning algorithms, and explain how you have used these techniques to drive business growth and revenue.
  • Tip: Show a passion for innovation and excellence in mobile analytics, and explain how you stay up-to-date with the latest trends and developments in the field.
  • Tip: Be prepared to discuss your approach to mentoring and leading high-performing analytics teams, and explain how you have helped to develop the skills and careers of your team members.

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