Working Student - Product Analytics and Operations

not specified
40 hours / Week
1 year
Immediately
not specified
posting-qr-code

Language requirements

Description

* Assist in streamlining operational processes for a portfolio of products using data-driven insights to optimize product strategies and recommend feature prioritizations based on key performance metrics.
* Define and track success metrics (OKRs/KPIs) and analyze product data to monitor the performance and identify areas for improvement.
* Lead the creation and updating of product dashboards that integrate key data analytics to inform and drive strategic decisions across the product lifecycle.
* Translate large-scale data initiatives into smaller actionable items by breaking down data requirements and supporting their integration into product strategies.
* Perform market assessments, user interviews, and A/B testing to gather and analyze data, delivering actionable insights that inform product improvements and strategic roadmaps.
* Map out data personas and consumer profiles, leveraging data to ensure customer needs are met and incorporated into product development.
* Serve as a champion of data literacy within the organization, promoting data-driven decision-making and fostering adoption of analytics tools and methodologies.
* Monitor usage and behavior data across products to proactively identify opportunities for optimization and growth.
* Drive internal operational improvement projects, leveraging data analytics to ensure efficiency and strategic alignment in product and process transformation.
* Contribute to product lifecycle documentation, monitoring, and updates, incorporating analytics and key insights to continuously improve the development process.

You can work up to 20 hours/week during your semesters and up to 40 hours/week during your vacation time. The role offers enough flexibility to combine personal, academic and professional life. This is a temporary role from min. 12 to max. 24 months. You need to be an enrolled university student in Germany.

* Assist in streamlining operational processes for a portfolio of products using data-driven insights to optimize product strategies and recommend feature prioritizations based on key performance metrics. * Define and track success metrics (OKRs/KPIs) and analyze product data to monitor the performance and identify areas for improvement. * Lead the creation and updating of product dashboards that integrate key data analytics to inform and drive strategic decisions across the product lifecycl...

Requirements

  • -

We offer

  • -

Cookie consent

- Please choose which cookies you want to consent to.