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Product Analyst (Data team)

extra holidays

Remote:

Full Remote

Contract:

Freelance

Work from:

Armenia, Latvia, Georgia (country), Poland, Portugal, Spain, Germany, Serbia

Offer summary

Qualifications:

Bachelor's or Master's degree in a quantitative field., Experience with data analysis tools., Familiarity with product development processes., Knowledge of AI and machine learning techniques..

Key responsabilities:

Collaborate on tracking events for user behavior.
Analyze product features and report metrics.

Planner 5D SME http://planner5d.com

51 - 200 Employees

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Job description

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