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Data Analyst - Platform Strategy

Experian

Sofia, BulgariaPosted 1 month agoFull-time

Job details

Company

Experian

Location

Sofia, Bulgaria

Employment type

Full-time

Primary category

Data Engineering

Posted date

26 Mar 2026

Valid through

Job description

We are looking for an execution-focused Data Analyst to bring analytics strategy and adoption tracking for the Developer Experience (DevX) stream within our Modular Platform initiative. You will use advanced analytics software, including Adobe/Google Analytics, to identify program success or gaps. You will also use business intelligence/data visualization tools, such as Power BI, to produce relevant insights and propose strategies based on data.

Reporting into Software Development Lead you will demonstrate expertise in digital analytics, hands-on data manipulation, reporting dashboards and the ability to transform data into clear recommendations. You will collaborate with all modular platform product management teams, promoting a culture of partnership and continuous improvement. Familiarity with GenAI for data processing and enrichment.

What you'll do:

  • Lead the analytics strategy for Developer Experience across all modular platforms, ensuring agreement on enterprise goals and developer productivity metrics.
  • Design and implement scalable tracking frameworks using Adobe Analytics and other tools to monitor user behavior and adoption patterns.
  • Develop dashboards using Power BI and other visualization tools to provide real-time insights into platform usage, adoption velocity, and campaign effectiveness.
  • Collaborate with product management teams to define KPIs, prioritize analytics needs, and embed data-driven decision-making into product development cycles.
  • Conduct deep-dive analyses to uncover friction points and recommend applicable improvements to enhance usability and adoption.
  • Establish feedback loops between analytics insights and platform enhancements, ensuring optimization of developer workflows and modular component usage.
  • Translate complex data into compelling narratives for executive stakeholders, product teams, and engineering leadership, allowing strategic planning and investment decisions.

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