Data Analyst

2 weeks ago

West Midlands, United Kingdom DataCareers Full time

Data Analyst


Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.

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 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

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