Data Analyst

Digital Waffle

Cambridge

Hybrid

GBP 32,000 - 46,000

Full time

2 days ago
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Job summary

Digital Waffle, a leading global lifestyle brand's EMEA operation, is hiring a Data Analyst on a 6-month contract to support the Brand and Sales teams with reporting, analysis and Power BI development.

You'll sit close to the commercial side, maintaining key Power BI reports, performing market and consumer analyses, and turning data into actionable insights for day-to-day decisions. Hybrid role in Cambridgeshire with typical office days.

Qualifications

  • Experience in insights, business analytics or BI roles analyzing surveys, market or sales data.
  • Proficient with Excel and Power BI for building and updating reports.
  • Comfortable working with multiple survey platforms and databases.
  • Curious, independent, and able to ask the right questions.
  • Process-oriented with awareness of business impact.
  • Strong problem-solving and communication skills.
  • Available for a 6-month engagement.

Responsibilities

  • Collect, process and analyse external data including market data, sell-through, surveys and rounds of play.
  • Maintain and update key Power BI reports for Brand and Sales teams, ensuring data validity.
  • Download and transform data from portals and emails weekly.
  • Design, code, and report on consumer surveys.
  • Support ad-hoc analysis requests with Power BI and Excel tools.
  • Prepare data ahead of SAP implementation and map AS400 data.
  • Improve customer segmentation using internal and external data.
  • Share knowledge on data analysis and visualisation with colleagues.

Skills

Survey analysis
Market data
Data analysis
Communication
Problem-solving

Education

Degree-level qualification or equivalent

Tools

Excel
Power BI
DAX
SQL

Job description

A leading global lifestyle brand's EMEA operation is hiring a Data Analyst on a 6-month contract to support the Brand and Sales teams with reporting, analysis and Power BI development.

You'll sit close to the commercial side of the business, keeping key Power BI reports current, running market and consumer analysis, and turning external and internal data into something the Brand and Sales teams can actually use day to day. It's a hands-on, embedded role rather than a remote dashboard build, so you'll be part of the team, not just a producer of files.

Role: Data Analyst (6-month contract)

Location: St Ives, Cambridgeshire, hybrid (typically 3 days in office, 2 at home)

What you'll be doing:
  • Collect, process and analyse external data including market data, sell-through, surveys and rounds of play
  • Maintain and update key Power BI reports for the Brand and Sales teams, keeping data valid and error-free
  • Download and transform market and sell-through data from various portals and emails on a weekly basis
  • Design, code, process and report on consumer surveys
  • Collect and process quarterly rounds of play data from a range of sources
  • Support the Brand and Sales teams with ad-hoc analysis requests, from bespoke Power BI reports to Excel-based tools that support daily operations
  • Support the wider BI team with preparation for an upcoming SAP implementation, including mapping AS400 data and designing data tables in Fabric
  • Improve the existing customer segmentation model using internal and external data
  • Share knowledge on data analysis and visualisation so wider colleagues get more from their own data
What you'll need:
  • Some experience of survey analysis, market data, sales data or performance metrics inside an insights, business analyst or BI role
  • Proficient in Excel and Power BI (or an equivalent analytics or data visualisation platform)
  • Comfortable working across survey platforms and databases
  • Curious and inquisitive, able to ask the right questions and think independently
  • Process-oriented, with a sense of wider business impact
  • Strong problem-solving and communication skills
  • Available at short notice for a 6-month engagement
  • Degree-level qualification or equivalent
Nice to have:
  • Working knowledge of Python, SQL and DAX
  • Exposure to AS400, Fabric or SAP
  • Prior experience inside a fast-moving consumer or retail business
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