Head of Product Analytics
at WellTech
zdalnie, województwo śląskie, Poland -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Oct, 2024 | Not Specified | 31 Jul, 2024 | 8 year(s) or above | Statistics,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,Python | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
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