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Day 152
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Employment type in the employer’s posting: ContractorFrom the employer’s posting
Design an analytics framework and key metrics for mobile and web apps
Act as business owner of the Data Platform and its data model and quality controls
Build and maintain operational reporting and dashboards for app usage, marketing and finance
Give executive leadership data-driven insights, forecasts and plans
Assemble and lead the analytics team in a matrix structure
Design and implement a robust analytics framework tailored to mobile and web applications
Act as Business owner of Data Platform
Develop and maintain operational reporting systems and dashboards to monitor day-to-day operations
Provide strategic insights to executive leadership and internal stakeholders
Assemble and steer the analytics team in matrix structure
Open 5 monthsWe first saw this posting 152 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 152
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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What We’re Looking For: - At least 3-5 years in a similar analytics leadership role in the mobile and web app industries with mln of users - Strong expertise in analytics tools (Tableau, SuperSet, etc.) and platforms (e.g., Google Analytics), data warehousing solutions, and SQL/NoSQL databases. Familiarity with machine learning techniques. - Practical experience of creating and managing data models for mobile and web application analytics. Understanding of business related metrics (subscription, upsells, etc.)/ Organizing analytical environments for performance marketing and other business units - Proven experience in managing large datasets, and in the development and management of a Data Platform. Orgagnizing and preserving data quiality and integrity. - Proficiency in statistical analysis, data visualization, and predictive modeling tools. Practical experience of using 3rd party tools like Similarweb, Sensor Tower, etc. - Knowledge and experience of integrating with product analytical tools (Amplitude, Mixpanel) and marketing tooling (Meta, GoogleAds, BigSpy, etc.) Awareness of platfroms integration aspects. Strong A/B tooling practicioner - Basic knowledge of data platforms architectures and integration technics, its capabilities and limitations - Experience building scalable analytics systems for rapidly growing companies transitioning from hundreds of thousands to tens of millions of users. - Experience developing analytics stacks that can be integrated with company platform solutions. Nice to have:
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
International rapidly growing product IT company StellarTech is looking for the Head of BI & Analytics. You will lead the establishment and evolution of our BI & Analytics unit, serving as the cornerstone for data-driven decision-making across the company. You will be responsible for managing and overseeing our Data Platform, providing comprehensive analytics, reports, and insights to support various internal functions including Marketing, Monetization, Product, Payments and Customer Support, etc.
What You’ll Do:
- Create Analytics Framework for Mobile Apps: Design and implement a robust analytics framework tailored to mobile and web applications, covering complete business cycle with marketing, monetisation, payments and product data. Esteblish key business metrics, organise metric tree and reporting structure for financial and operational controls
- Data Management and Excellence: Act as Business owner of Data Platform, ensuring it support's real-time data processing and analytics needs for business units. Oversee the integration of required data sources and data integrity & reliability across the platform. Define and manage Data Model inline with business needs, ensure Data Quality controls are in place
- Operational Reporting and Visualization Tooling: Develop and maintain operational reporting systems and dashboards to monitor day-to-day operations, including key metrics for app usage, marketing and financial performance. Select and implement cutting-edge tools for data visualization to ensure accessible, real-time insights for decision-makers.
- Strategic Insights and Decision Support: Provide strategic insights to executive leadership and internal stakeholders by analyzing data trends and market dynamics. Drive data-driven decision-making processes across the company, particularly in areas affecting product development, marketing strategies, and customer experience. Design business metrics, create plans and forecasts.
- Cross-functional Collaboration for Data-Driven Culture: Foster a collaborative environment with Marketing, Monetization, Product, Payments, Finance and Customer Support teams to identify and fulfill their analytics needs. Champion the use of data and insights in all strategic discussions and planning sessions to embed a data-driven culture throughout the organization.
- Data Governance, Privacy, and Compliance: Ensure the analytics practices adhere to data governance standards and comply with relevant privacy laws and regulations. Implement policies and procedures for data handling and sharing to protect user data and company information.
- Leadership and Team Development: Assemble and steer the analytics team in matrix structure, setting objectives and key performance indicators in line with the company’s vision.
- AI Initiatives Development: Develop and implement an AI/ML strategy for analytics to enhance decision-making efficiency across various business units.
- Cross-Product Analytics: Create a systematic approach for comparative analysis and benchmark between company products and competitive products to identify best practices and potential synergies.
What We’re Looking For:
- At least 3-5 years in a similar analytics leadership role in the mobile and web app industries with mln of users
- Strong expertise in analytics tools (Tableau, SuperSet, etc.) and platforms (e.g., Google Analytics), data warehousing solutions, and SQL/NoSQL databases. Familiarity with machine learning techniques.
- Practical experience of creating and managing data models for mobile and web application analytics. Understanding of business related metrics (subscription, upsells, etc.)/ Organizing analytical environments for performance marketing and other business units
- Proven experience in managing large datasets, and in the development and management of a Data Platform. Orgagnizing and preserving data quiality and integrity.
- Proficiency in statistical analysis, data visualization, and predictive modeling tools. Practical experience of using 3rd party tools like Similarweb, Sensor Tower, etc.
- Knowledge and experience of integrating with product analytical tools (Amplitude, Mixpanel) and marketing tooling (Meta, GoogleAds, BigSpy, etc.) Awareness of platfroms integration aspects. Strong A/B tooling practicioner
- Basic knowledge of data platforms architectures and integration technics, its capabilities and limitations
- Experience building scalable analytics systems for rapidly growing companies transitioning from hundreds of thousands to tens of millions of users.
- Experience developing analytics stacks that can be integrated with company platform solutions.
Nice to have:
Experience with systems that automatically optimize marketing campaigns, pricing, and other business processes based on analytical data.
Understanding of recommendation systems and content personalization algorithms.
Why You'll Love Working With Us:
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Location not supplied.
- Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. - We are global remote - Health: company-provided medical expense compensation.
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