Senior Business Data Analyst — Remote/Hybrid (UK/DE)

Openkrill; United States; Hybrid; USD 67,000 - 101,000; Full time

Job summary

Chaos is seeking a Business Data Analyst to collect, analyze, and interpret data to drive performance improvements across multiple teams. You will own recurring reporting and complex ad-hoc analyses, partnering with Marketing, Sales, Finance, Operations and Product as a trusted advisor.

Strong data quality and AI-enabled insights are essential. The role requires at least 5 years in data analysis, a relevant degree, and fluency in English.

Qualifications

• Bachelor’s degree or equivalent professional experience.
• Five+ years in data analysis or BI.
• Experience in SaaS/tech is advantageous.
• Experience in product analytics is advantageous.
• Experience with AI data products or AI tools in analytics is advantageous.

Responsibilities

• Collect data: define requirements, source and validate data from multiple systems.
• Analyse data: clean, transform, and identify patterns and insights.
• Deliver business insights: summarize findings, explain trends, flag risks and opportunities.
• Collaborate with Marketing, Sales, Finance, Operations and Product to understand data needs.
• Drive data quality, system and process improvements across the team.
• Lead rollout of new reporting, tools and processes and guide stakeholders.
• Stay current with data analysis methods and champion AI tools in workflows.

Skills

Data interpretation

Data quality management

Root-cause analysis

Business curiosity

English proficiency

Education

Bachelor's degree in Business Administration, Statistics, Economics, or related field

Tools

Power BI

MS Excel

Job description

Chaos is seeking a Business Data Analyst to collect, analyze, and interpret data to drive performance improvements across multiple teams. You will own recurring reporting and complex ad-hoc analyses, partnering with Marketing, Sales, Finance, Operations and Product as a trusted advisor.

Strong data quality and AI-enabled insights are essential. The role requires at least 5 years in data analysis, a relevant degree, and fluency in English.