Name: Product Analytics for scaling teams
Price: 600 EUR
Availability: InStock

Description

8 years of experience in Data & Analytics with 4+ years of experience in building, leading and scaling Analytics teams in Product / Business organizations
Defined and implemented Analytics Strategy, roadmap and analytics frameworks supporting end-to-end data-driven decision cycle for Leadership, Strategy, Product and Commercial teams
Built high-performing and value-driven Analytics teams, maximizing impactful output, minimizing ad hoc requests, and creating space for proactive work
Created collaborative frameworks with other functions (Data Science / ML, User Research, BizOps, Strategy etc) aligning on the goals, strategy and identifying collaboration opportunities
Elevated Analytics function across the company by setting up and sharing best practices, coaching/ mentoring ICs and TLs, implementing hiring processes and standards
Enabled data-driven culture by democratizing data, creating awareness and educating teams, delivering trainings and conference talks on Analytics value and instrumentation

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Amsterdam (up to 50km)

Quantilytics
Analytics consultant @ Glovo
September 2022 - March 2023 (6 months)
Analytics Vision: Defined an analytics vision and strategy, focusing on three pillars: People, Capabilities, and Impact
Experimentation Program: Built the Experimentation program, providing a clear structure, streamlined communication, and program vision and roadmap. Formed working groups to tackle key tech challenges (anticipating time savings of 90%forAnalytics teams). Formed Ambassadors (Data & Product) initiative to streamline the awareness and adoption of Experimentation platform and building Experimentation culture.
Planned Initiatives: Developed strategies for enhancing role clarity and defining analytics ways of working, setting a foundation for future improvements. Envisioned a comprehensive program around analytics visualization tools (Looker & Amplitude) to optimize their usage (performance or budget-wise) and impact across the organization.
Quantilytics
Analytics Lead @ Kidsloop
January 2022 - June 2022 (5 months)
Holistic Product Analytics: Established KPIs and health metrics for the Product organization, enabling objective outcome measurement and identifying strategic opportunities. Orchestrated the development of a comprehensive Product Instrumentation solution, empowering teams with user analytics and event taxonomy.
Data platform: Working together with Data teams (Data Architect, Engineering) on Data platform foundations - defining Edu Data Model and processes like Data Profiling, Sourcing, Quality Cross-Functional
Optimization: Aligned Data, Product, and Engineering teams by identifying and addressing communication and process gaps, fostering streamlined collaboration and clarity on priorities.
Product development: Defined the use case and designed the framework for Analytics as a Product Feature (Learning Analytics for Education platform), one of the key features in the Kidsloop Product Strategy
Booking.com
Analytics Manager
January 2020 - December 2021 (1 year and 11 months)
• Built a scalable analytics team to work across Segments departments, supporting Leadership teams (Sr Dir, Product / Comm Dirs, BizOps, Strategy) and Product areas (6-8 product tribes)
• Created and piloted a new analytics framework, creating big picture view and bridging the gap between Strategic and Execution teams. The framework:
1) minimized the amount of ad hoc requests by 80%,
2) allowed to spot strategic opportunities during pandemic like identifying new markets and segments to prioritize (the US interstate travel, top-5 states; monthly stays),
3) allowed to create space for more proactive work for team members resulting in high-impact projects like new commission
model definition,
4) showed great impact and is now being utilized by other departments
• Enabled insights-led culture by creating a process and the framework of measuring org strategy execution and success, monitoring goals / performance, communicating and sharing with the department, creating alignment, transparency and visibility
• Together with Data Science team setup incremental impact measurement - setting up monitoring tool for holdouts / blackout experiments