
201 - 500 employees
Founded 2015
👥 HR Tech
☁️ SaaS
💰 Venture Round on 2019-04
HR Tech • SaaS • Employee Benefits
Perkbox is an all-in-one employee benefits and rewards platform that helps businesses provide over 9,000 perks, discounts, and benefits, while also facilitating employee recognition and wellbeing support. By centralizing employee benefits, Perkbox enhances the employee experience, allowing access via both web and mobile platforms. It aims to motivate employees by offering personalized rewards and fostering peer-to-peer recognition, promoting an engaging and supportive work environment.
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
📊 Business Intelligence Developer
🇬🇧 UK Skilled Worker Visa Sponsor
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201 - 500 employees
Founded 2015
👥 HR Tech
☁️ SaaS
💰 Venture Round on 2019-04
HR Tech • SaaS • Employee Benefits
Perkbox is an all-in-one employee benefits and rewards platform that helps businesses provide over 9,000 perks, discounts, and benefits, while also facilitating employee recognition and wellbeing support. By centralizing employee benefits, Perkbox enhances the employee experience, allowing access via both web and mobile platforms. It aims to motivate employees by offering personalized rewards and fostering peer-to-peer recognition, promoting an engaging and supportive work environment.
• Own the design, development, and maintenance of Power BI dashboards and reports • Build and maintain data models that are reliable and well-structured • Write DAX measures and Power Query transformations • Ensure all BI outputs meet data quality and governance requirements • Work directly with stakeholders and communicate findings clearly • Support the maintenance of data quality across BI outputs • Investigate root causes and identify opportunities for data analysis
• Able to build and maintain complex Power BI reports and dashboards • Strong SQL skills with the ability to query, join, and manipulate data from relational databases without support • Able to translate business questions into a structured analytical approach • Comfortable working with large, messy, or poorly documented datasets • Communicates analytical findings clearly to non-technical stakeholders • Understands data governance principles including data quality, access control, and documentation • Able to manage a backlog of competing requests • Investigates root causes rather than stopping at surface-level description
• Health and wellbeing solutions • Recognition programs • Flexible work arrangements • Professional development opportunities
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