Darts Performance Intelligence is the first independent darts analytics platform that delivers data-driven analysis designed to help players improve scoring, optimize checkout strategy and raise their consistency. Using advanced performance metrics and personalized visual reports, we turn raw match data into clear, actionable insights that translate directly into better results on the oche. Whether you compete as amateur, semi-pro or professional player, our analytics give you the competitive edge needed to win more games and reach your true darts potential.

Results-driven Data Analyst with a strong focus on transforming complex datasets into actionable insights. At Darts Performance Intelligence, responsible for collecting, cleaning, and analyzing performance data to support strategic decision-making. Skilled in statistical analysis, data visualization, and reporting, with a keen eye for identifying trends and optimizing operational efficiency. Adept at collaborating with cross-functional teams to deliver data-driven solutions that enhance business performance.

• Collected, processed, and analyzed large datasets to identify trends, patterns, and performance insights
• Developed and maintained interactive dashboards and reports to support business decision-making
• Collaborated with stakeholders to define data requirements and deliver actionable recommendations
• Performed data cleaning, validation, and quality assurance to ensure accuracy and reliability
• Applied statistical methods and data modeling techniques to optimize performance metrics
• Automated data workflows and reporting processes to improve efficiency
• Monitored key performance indicators (KPIs) and provided regular performance updates
• Supported ad hoc analysis requests and presented findings to internal teams
• Utilized tools such as SQL, Python, Excel, and BI platforms (e.g., Power BI, Tableau)

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• 1–3+ years of experience in a data analysis or similar role (or strong academic/project experience for entry-level candidates)
• Proficiency in SQL and at least one programming language such as Python or R
• Experience with data visualization tools (e.g., Power BI, Tableau)
• Strong analytical thinking and problem-solving skills with attention to detail
• Ability to interpret complex data and communicate insights clearly to non-technical stakeholders
• Familiarity with statistical analysis, data modeling, and data cleaning techniques
• Experience working with large datasets and relational databases
• Good understanding of business processes and performance metrics
• Strong organizational skills and ability to manage multiple tasks and deadlines

• Employment Type: Full-time, permanent position
• Location: Hybrid (combination of on-site and remote work)
• Working Hours: Standard business hours with flexibility based on project needs
• Compensation: Competitive salary based on experience and qualifications
• Performance Review: Regular performance evaluations with opportunities for salary adjustment and career progression
• Probation Period: 3–6 months, depending on experience level
• Benefits: Includes paid annual leave, sick leave, and access to professional development resources
• Tools & Equipment: Company-provided laptop and access to required software and data platforms
• Confidentiality: Required adherence to data privacy and confidentiality agreements
• Start Date: To be agreed upon with the selected candidate

• Submit an online application including your CV and a brief cover letter outlining your interest and relevant experience
• Initial screening by the HR team to assess qualifications and role fit
• Introductory interview (30–45 minutes) focusing on background, skills, and motivation
• Technical assessment involving a data analysis task or case study to evaluate analytical and problem-solving abilities
• Technical interview with the data team to review the assessment and discuss methodologies, tools, and approach
• Final interview with senior stakeholders to assess cultural fit and communication skills
• Reference checks and final decision
• Offer extended to the selected candidate, followed by onboarding and orientation