Head of Product Analytics

at  WellTech

zdalnie, województwo śląskie, Poland -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate30 Oct, 2024Not Specified31 Jul, 20248 year(s) or aboveStatistics,Workplace Culture,Presentation Skills,Predictive Analytics,Ownership,Data Science,Computer Science,Sql,Decision Making,Fitness Industry,A/B Testing,Machine Learning,Business Analytics,Leadership Skills,Health,Soft Skills,PythonNoNo
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Description:

Welcome to Welltech – a global IT powerhouse specializing in cutting-edge Health & Fitness mobile applications. With an impressive 200M+ installs and a suite of 6 revolutionary apps, we are positively transforming the lives of millions, nurturing healthier lifestyles and overall well-being.
With a solid six-year presence in the international market, Welltech boasts a dynamic team of over 800 passionate professionals across the globe. From intuitive nutrition trackers to innovative fitness solutions, we empower individuals to embark on a transformative journey toward optimal health and happiness.
At Welltech we are committed to ambitious growth and delivering the best possible service to our users. We are looking for a Head of product analytics to support these goals.

QUALIFICATIONS:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 8+ years of experience in product analytics, with a significant portion in a leadership role.
  • Proven experience in mobile app analytics, preferably in the health and fitness industry.
  • Proficiency in SQL and Python.
  • Experience with data visualization tools, particularly Tableau.
  • Strong understanding of A/B testing, cohort analysis, and other statistical methods.
  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Demonstrated ability to think strategically and drive business results through data insights.
  • Strong leadership skills with a track record of building and managing high-performing teams.

PREFERRED SKILLS:

  • Experience with machine learning and predictive analytics.
  • Background in behavioural psychology or user experience research.
  • Passion for health, fitness, and wellness, with a personal interest in yoga or workout routines.

SOFT SKILLS:

  • Highly analytical and detail-oriented with a passion for using data to drive decision-making.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
  • Collaborative and team-oriented, focusing on fostering a positive and inclusive workplace culture.
  • Leadership style focused on empowering and developing the team.
  • A user-centric mindset, acting with ownership and responsibility towards the company’s goals and values.

Responsibilities:

  • Develop and implement a comprehensive analytics strategy to support the company’s goals and objectives.
  • Lead, mentor, and grow a team of 15 data analysts within the product analytics division.
  • Collaborate with product, engineering, marketing, and growth teams to identify key metrics and deliver actionable insights, focusing on activation rate, engagement, and retention.
  • Design and oversee the development of dashboards, reports, and visualizations using Tableau to track performance and inform strategic decisions.
  • Conduct deep-dive analyses and research to understand user behaviour, identify trends, and provide recommendations for product improvements.
  • Drive A/B testing and other experimentation to optimize user experience and product features, ensuring rigorous monitoring and maintenance of data quality.
  • Ensure data quality, integrity, and security across all analytics processes and tools.
  • Stay current with industry trends and best practices in analytics and mobile app development.


REQUIREMENT SUMMARY

Min:8.0Max:13.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Computer Science, Business, Statistics

Proficient

1

zdalnie, Poland