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Job Post Details

Graduate Data and Automation Analyst - job post

Bensons for Beds
2.8 out of 5 stars
HuntingdonHybrid work
£24,420 a year - Permanent, Full-time

Job details

Pay

  • £24,420 a year

Job type

  • Permanent
  • Full-time

Location

HuntingdonHybrid work

Benefits

Pulled from the full job description

  • Annual leave
  • Employee discount
  • Free parking
  • Company pension
  • On-site parking

Full job description

| Full Time | Permanent | £27,851.20 per annum |

At Bensons for Beds we believe everyone deserves the best night’s sleep. As part of our Transport Standardisation & Compliance team, you’ll support the business by ensuring our data is accurate, accessible and increasingly automated, helping colleagues make better decisions and delivering exceptional experiences for our customers.

Your Purpose

You will support the collection, cleansing and automation of operational data and work with colleagues across Logistic Operations and IT to help improve data quality, build simple automations and produce clear reports that inform commercial and operational decisions.

What You’ll Be Doing

  • Assist with daily data maintenance tasks across product information (PIM), ERP and other systems to ensure accuracy and completeness.
  • Create and maintain data pipelines and AI automation processes using scripting ,low-code tools, Power Automate, Co-pilot, etc, to reduce manual work and improve efficiency.
  • Prepare, validate and deliver regular reports and dashboards on logistics and warehousing for commercial and operational teams.
  • Undertake data quality checks, identify anomalies and work with stakeholders to resolve issues promptly.
  • Document processes, data definitions and standard operating procedures to support consistent working practices.
  • Collaborate with colleagues to help define requirements for data and automation solutions and support testing and deployment activities.
  • Contribute to small data improvement projects and continuous improvement initiatives across the team.

What You Bring to the Sleepover

Essential:

  • Recent graduate (or equivalent) in a quantitative discipline such as Data Science, Computer Science, Economics, Mathematics, AI development and maintenance or similar.
  • Strong attention to detail and a methodical approach to working with data.
  • Excellent skills in Excel (including formulas and pivot tables) and familiarity with at least one scripting language (Python, SQL or similar).
  • Good communication skills with the ability to explain technical information to non-technical colleagues.
  • A positive, curious mindset and willingness to learn new tools and techniques.

Desirable:

  • Experience with reporting or dashboard tools (e.g. Power BI, Tableau, Power Automate) or exposure to ETL/data pipeline concepts.
  • Previous experience in warehousing or logistics is beneficial.
  • Familiarity with PIM/ERP systems or an interest in logistics data management.
  • Understanding of basic automation tools or low-code platforms (e.g. Power Automate, Alteryx).

Here’s What You Get:

  • Employee discount scheme for Bensons products (up to 50% off)
  • Competitive pension scheme – provided by Legal & General
  • Life Assurance and Income Protection
  • Medicash – cashback options for health and wellbeing services
  • Access to Retail Trust services for support and guidance
  • Annual leave buy & sell scheme and enhanced family leave
  • Learning and development programmes, graduate training and clear progression pathways
  • Hybrid working to support work-life balance

(*qualifying periods and terms apply)

Ready to kickstart your career in data and automation?

Apply today to join a team where your work helps deliver the best night's sleep—every night.

Pay: £24,420.00 per year

Benefits:

  • Free parking
  • On-site parking

Application question(s):

  • Do you have the legal right to work in the UK?
  • Do you have any unspent criminal convictions?
  • Do you have experience of working within a warehousing/ logistics or commercial setting (Outside of IT department)?

Work Location: In person

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