Location: Hybrid, one day a week in the Birmingham office

Salary: £33,500 (dependent on your experience)

Skills: Power BI, presentation and communication skills

Job Purpose:

As a Data Analyst, your role goes beyond mere number-crunching; it involves shaping the data landscape to reveal insights that influence our understanding of consumer behaviour. This crucial responsibility revolves around crafting narratives from diverse data sources, producing top-notch statistics, and creating data visualisations that captivate.

Key Responsibilities:

• Design and deliver data analyses that contribute to our business plan aspirations.
• Determine the most suitable analytical approach for each project, showcasing your analytical skills.
• Communicate findings through various mediums, including written reports, dynamic presentations, or visually compelling data visualizations.
• Lead the effort to embed an evidence-led culture, inspiring and guiding internal stakeholders through the nuances of evidence assurance.
• Navigate internal and external data sources with confidence, acting as a resource and offering advice to colleagues.
• Share your data insights with diverse audiences, adapting your communication style to match the stakeholder landscape.

Person Specification:

Essential:

• Develop effective data analysis specifications.
• Lead the design and analysis of intricate datasets, showcasing analytical skills.
• Possess a solid understanding of statistical principles, gained through qualifications, degrees, or a proven track record in a similar role.
• Work adeptly with large datasets, identifying trends, extracting critical factors, and translating them into a business context using various formats (reports, charts, infographics).
• Command advanced skills in Power BI for compelling data visualizations and/or SPSS for statistical analyses.
• Speak and write fluently in the language of data, effectively conveying complex analyses to diverse audiences.
• Foster relationships with internal and external stakeholders, nurturing productive working relationships.
• Exhibit attention to detail and a profound understanding of quality assurance procedures.

Ready to immerse yourself in a world where your data skills shine? Let's shape the future together!