Business Analyst
Yesterday
🔄 Hybrid – Cambridge
Description
• To integrate smart data-led decision making into our business operations, to bring accessible insight to colleagues without deep technical expertise. • Lead the adoption and integration of Tableau within the operational teams, working closely with the software team to manage the setup and ensure the tool is optimized for business needs. • Perform complex data analysis and modelling using Excel and Tableau to create insights to guide critical business decisions • Create supplementary data inputs from the internet, public sources and primary research where required • Design, develop, and maintain interactive dashboards and reports in Tableau that meet the needs of internal (and external) stakeholders, with a focus on operational analysis and business OKRs • Develop comprehensive reports and documentation that communicate findings and insights effectively in a way that is understandable to non-technical stakeholders. • Serve as the go-to expert for Tableau within the organization, providing training and support to team members to enhance their data analysis capabilities.
Requirements
• Advanced user of Tableau, including dashboard creation and data visualisation • Advanced user of Excel including use of complex (eg nested and array) functions • Strong analytical and problem-solving skills • Strong ability to create actionable insights from complex data • Well-developed understanding of the limitations of and confidence in data sources, assumptions and analytical methodology used • Effective communication (presentation and writing skills), with the ability to convey technical information to non-technical stakeholders • Ability to work independently and collaboratively within a team environment • Resilience and flexibility to work in a busy and changing / dynamic environment with ability to deal with workload peaks and troughs • Ability to organise and prioritise work in the context of achieving team goals • Experience with databases and database queries in SQL. • Experience with scripting in Python or R • Experience applying statistical thinking and statistical testing to datasets • Bachelor's degree or above in a STEM-related subject • 2+ years experience as a data or business analyst, carrying out data cleaning, data mining, enrichment and modelling using large datasets • Experience in working with company data, public data sources and desk research to create business insights • Experience designing and managing primary research (eg surveys, observational studies, focus groups, meta-analyses)
Benefits
• Flexible working hours to support your work preferences • Hybrid working as per requirements above • Beautiful award-winning Cambridge UK office stocked with quality drinks & snacks • Work from abroad for 1 week per year • Buy / sell up to 5 days annual leave • Generous individual personal development budget + dedicated development days • Mental Health support: wellbeing support and free 24/7 access to qualified counsellors and advisors • Wellness budget • Coaching and mentoring - in partnership with Horizon37 who provide team coaching and mentoring. • Team events and celebrations • 25 days annual leave + 8 public holidays • Pension: TidalSense contributes 5% of qualified earnings (actively looking to increase this) • Annual performance-based bonus • Discretionary share options scheme
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