Role overview

Responsibilities

Define, track, and report on key product metrics such as engagement, retention, conversion, and churn.
Analyze product and user data to uncover trends, user behaviors, pain points, and opportunities for improvement.
Ensure data accuracy and integrity and work with the data team and product developers on solving data accuracy issues.
Promote a data-driven work culture through example and by championing self-service.

Key facts

Remote from: Republic of Lithuania
Fixed term
Data Analyst
English

Hard skills

Data Quality User Analysis

Other skills

Collaboration
Data Reporting
Problem Solving
Communication

About the company

PVcase

PVcase is a next generation PV software company. Driven by engineering know-how and cutting edge development team, we change the rules when it comes to solar design operations worldwide. Our customer base extends from Europe to North and South Americas, Asia and Australia, rapidly adding new customers with every software iteration. PVcase's approach to utility scale solar layout design strives to become the new industry standard as the PV industry is forced to evolve in an environment with significantly reduced subsidies. Our focus on automation and accuracy from the very earliest stages of planning, incorporating 3D topographical data points to simulate the actual location of the solar plant, allows our customers to be able to compete for and win more projects by delivering greater yields. PVcase’s automation plug-in for AutoCAD has already been used to design over 3 GW of projects by some of the world’s largest players in solar renewable energy. With our extensive experience in the solar design industry we see other opportunities to optimize and create efficiencies in other aspects of the evaluation and planning of commercial and utility scale PV projects and have several other products in the development process.

Company details

Company typeScaleup

Industry

Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

Define, track, and report on key product metrics (such as engagement, retention, conversion, and churn) to evaluate the success of product features and initiatives.
Analyze product and user data to uncover trends, user behaviors, pain points, and opportunities for improvement.
Ensure data accuracy and integrity as well as work with the data team and product developers on solving data accuracy issues.
Promote a data-driven work culture through example and by championing self-service.
Work collaboratively with product team members, such as product managers, engineers, and designers.
Find the right medium to convey important insights with the right context.