Data Cleaning Analyst in Harlow

Data Cleaning Analyst in Harlow

Harlow Full-Time 30000 - 35000 £ / year (est.) No working from home possible
New Era Fuels

At a Glance

  • Tasks: Cleanse and validate large datasets while collaborating with stakeholders.
  • Company: Established fuel and lubricants company with over 100 years of expertise.
  • Benefits: Competitive salary, hybrid working, generous leave, and private health insurance.
  • Other info: Opportunity for career growth in a supportive environment.
  • Why this job: Join a friendly team and make a real impact on data quality improvements.
  • Qualifications: Experience with data management and strong Excel skills required.

The predicted salary is between 30000 - 35000 £ per year.

Requirements

  • Experience working with data, operational data, or master data management.
  • Strong Microsoft Excel skills, including data manipulation, lookups, pivot tables, and validation techniques.
  • Experience working with large datasets and data cleansing activities.
  • Excellent attention to detail and analytical skills.
  • Ability to work independently and manage high-volume workloads.
  • Strong communication and stakeholder management skills.
  • Experience with Net Suite is desirable but not essential.
  • SQL or other data manipulation experience would be advantageous.
  • Highly organised and methodical approach to work.
  • Detail-oriented with a strong focus on accuracy.
  • Able to prioritise workload and meet project deadlines.
  • Proactive problem solver with a continuous improvement mindset.
  • Comfortable working independently and remotely.
  • Professional and collaborative approach when engaging with stakeholders.

Responsibilities

  • Review and analyse data held within Net Suite and associated systems.
  • Cleanse, standardise, and validate large datasets.
  • Identify and resolve duplicate, incomplete, and inaccurate records.
  • Review and standardise data hierarchies, including parent-child account structures.
  • Support data import, export, and mapping activities.
  • Validate data accuracy, completeness, and consistency across multiple sources.
  • Work with business stakeholders to investigate and resolve data quality issues.
  • Document changes and maintain records of cleansing activities.
  • Provide recommendations for ongoing data quality improvements and governance.
  • Technologies
  • Excel
  • Support
  • SQL
  • More

We are a well-established fuel and lubricants company with over 100 years of expertise, and we are growing from strength to strength.

We are hiring a Data Cleansing Analyst on a 3-month fixed-term contract to support a critical Net Suite data cleansing project as part of a business-wide data improvement initiative.

This role is based in Harlow, Essex, with hybrid working, and we offer a friendly and supportive team environment.

Our benefits include 20 days annual leave increasing to 25 days with service, plus 8 bank holidays, private health insurance and death in service after 1 year, a pension scheme with employer contributions, long service awards, an employee assistance programme, referral scheme, Christmas hamper, company social events, free parking, and on-site parking.

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Data Cleaning Analyst in Harlow employer: New Era Fuels

Join a well-established fuel and lubricants company with over 100 years of expertise, where we prioritise a friendly and supportive team environment. As a Data Cleaning Analyst, you'll benefit from hybrid working, generous annual leave that increases with service, private health insurance, and a pension scheme with employer contributions, all while contributing to a vital data improvement initiative. We are committed to employee growth and offer various social events and recognition for long service, making this an excellent place for meaningful and rewarding employment.

New Era Fuels

Contact Details:

New Era Fuels Recruitment Team

We think you need these skills to ace Data Cleaning Analyst in Harlow

Data Manipulation
Microsoft Excel
Data Cleansing
Analytical Skills
Attention to Detail
SQL
Stakeholder Management