BI Analyst

• Business Partnering: Act as a strategic analytics contact for business departments and local markets, identifying data-driven solutions and improvements.

• Reporting & Insights: Develop and maintain insightful BI reports and dashboards (Tableau, Metabase, etc.) focused on actionable recommendations.

• Automation & Optimization:

  • Analyze data workflows and processes to identify automation opportunities.

  • Collaborate with data teams to propose enhancements for data pipelines and models.

• AI/LLM Application:

  • Evaluate and apply AI/LLM advancements relevant to Rohlik.

  • Explore, prototype, and implement AI/LLM solutions for analytics augmentation, insight automation, or decision support.

• Advanced Analytics: Support Marketing/CRM with campaign analysis, segmentation, and web analytics to optimize performance.

• Project Collaboration: Contribute analytical and automation expertise to cross-functional project teams.

• Knowledge Sharing: Share best practices in analytics, automation, and new technologies across teams.

• BI/Data Analysis Experience: Several years of proven experience translating business needs into practical, data-driven solutions.
• SQL: Proficient in writing complex SELECT queries for data extraction/manipulation 
• BI Tools: Strong experience with Tableau preferred; familiarity with Power BI, Metabase, etc., is valuable.
• Python: Experience using Python for data analysis (Pandas, NumPy) or automation scripting is a key advantage.
• Automation Mindset: Interest or experience in identifying and implementing data workflow automation; familiarity with relevant concepts/tools is a plus.
• AI/ML Aptitude: Familiarity with ML concepts and/or demonstrable interest in applying AI/LLMs to business problems; hands-on experience is a distinct advantage.
• Business Acumen: Good understanding of relevant business domains (e-commerce, retail, etc.) and improving processes via data/tech.
• Communication: Excellent stakeholder management and ability to clearly communicate complex technical topics to diverse audiences.
• Problem-Solving: Creative, pragmatic, and adaptable; able to assess data suitability and leverage current/emerging tech for solutions.
• Languages: English B2 level or higher.

Case study https://docs.google.com/document/d/1XiI8OJ1kQZlWA1lDkzo8ymAoUkvwOVNYQv4ZOQcUKyc/edit?tab=t.0