Product Analyst (Data team)

Posted 20 Days Ago
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Vilnius, Vilniaus miesto savivaldybė, Vilniaus apskritis
Entry level
Design
The Role
The Senior Product Analyst will drive data-informed decision-making and optimization for products by designing tracking events, maintaining data quality, analyzing product performance, and developing a framework for feature usage insights. Responsibilities include managing A/B testing, conducting quantitative and qualitative research, and using AI tools to enhance product analysis.
Summary Generated by Built In

About us:


Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.


Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.


We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.


The Senior Product Analyst will play a critical role in driving data-informed decision-making and product optimization.

Key responsibilities include:

  • Tracking Events Design and Specification: Collaborate with cross-functional teams to design and specify tracking events that capture user behavior and product interactions.
  • Tracking Events Delivery and Quality Management: Ensure accurate and timely delivery of tracking events and maintain high data quality standards.
  • Definitions of Features and Connected Tracking Events: Clearly define product features and their associated tracking events to enable comprehensive analysis.
  • Product and Feature Usage Metrics and KPIs: Develop and monitor key metrics and KPIs to measure product and feature performance.
  • Framework for Feature Usage Analysis and Insights: Create a framework for analyzing feature usage and generating actionable insights.
  • Overall Product Growth Metrics and Analysis: Track and analyze overall product growth metrics to identify trends and opportunities.
  • A/B Test Framework for Continuous Improvements: Implement and manage an A/B testing framework to facilitate data-driven experimentation and optimization.
  • Hypothesis and Experiments Documentation, Delivery, and Analysis: Document hypotheses, design and execute experiments, and analyze results to validate assumptions and inform product decisions.
  • Conduct Quantitative and Qualitative Product Research: Utilize both quantitative and qualitative research methods to gain a deep understanding of user needs and behaviors.
  • Use AI Tools and Approaches for Product Analysis: Leverage AI tools and techniques to enhance product analysis and uncover valuable insights.

Qualifications:

  • Strong Analytical Skills: Proven ability to collect, analyze, and interpret complex data sets.
  • Product Development Knowledge: Familiarity with product development processes and methodologies.
  • Technical Proficiency: Experience with data analysis tools such as BigQuery, Looker Data Studio, and product analytics platforms like Amplitude, Devtodev, Mixpanel, or other modern tools and frameworks.
  • AI and Machine Learning Experience: Knowledge of AI and machine learning techniques and their application in product analysis.
  • Communication and Collaboration: Excellent communication and interpersonal skills, with the ability to work effectively across teams.
  • Problem-Solving and Critical Thinking: Strong problem-solving and critical thinking skills, with a data-driven approach to decision-making.
  • Education: Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or equivalent experience.

Key Skills:

  • Data Analysis
  • Product Analytics
  • SQL
  • BigQuery
  • Looker Data Studio
  • A/B Testing
  • Experimentation
  • AI and Machine Learning
  • Communication
  • Collaboration
  • Problem-Solving

Additional Skills:

  • Knowledge of data visualization tools
  • Statistical modeling expertise

What we offer:

- Great work environment that balances freedom and responsibility

- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge

- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year

- Company computer equipment by request

- Education courses for our team members, and we're willing to allocate funds toward your training expenses

- English classes on our corporate platform

- Offline company events in Lithuania and online team-building

- Unlimited free Planner5D subscriptions

Top Skills

SQL
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The Company
Vilnius, Vilnius
81 Employees
On-site Workplace
Year Founded: 2011

What We Do

Make your home a better place! Planner 5D is a popular home improvement and interior design platform used by 77+ million users worldwide...

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