Bonus schemes
Career progression
Discounts on Evri products

Data Analyst

Vacancy Salary £40,000
Remote Remote
Mergefield Title {Mergefield Value}
Mergefield Title {Mergefield Value}

This is a Permanent, Full Time vacancy that will close in {x} days at {xx:xx} BST.

Join the UK’s premier parcel & post delivery company

Evri Group is one of the UK’s biggest parcel delivery businesses, powered by our two core brands: Evri and Evri Premium (previously known as DHL eCommerce). With 12,000 colleagues, 30,000+ couriers and 8,000 vehicles, we deliver through our fast, flexible network of hubs, depots, delivery units and fulfilment centres. With over 50 years of experience, we deliver more than 1 billion parcels and 1 billion letters a year, supporting everyone from casual senders to major retailers across the UK and to 200+ global destinations.

Our people are at the heart of everything we do. We’re friendly, ambitious and diverse, united by a drive to deliver brilliant service.

 

We are recruiting for a Data Analyst, to join our high-impact Final Mile Data Science team, working on some of the most commercially critical areas of the business. You will support and enhance existing data science solutions, helping to drive optimisation and cost efficiency across large-scale operations.

Working with complex datasets covering millions of households daily, you’ll turn data into actionable insights that influence key decisions at the highest level. You will also play a key role in scaling new initiatives, including leveraging our Evri Premium (DHL) datasets to unlock further value.

This is an excellent opportunity for someone looking to build on their analytics experience, work closely with senior stakeholders, and develop towards a future career in Data Science.

 

What You will Do

You will support the delivery and ongoing development of advanced analytics solutions, working closely with stakeholders across Operations, Product, Commercial and Technology. You’ll ensure data-driven insights are translated into meaningful actions that deliver measurable business impact.

 

Key Responsibilities:

• Analyse large, complex datasets to identify trends, patterns and opportunities
• Support and maintain existing data science models and analytical outputs
• Work with stakeholders to understand business challenges and deliver data-driven solutions
• Translate complex analysis into clear, actionable insights for non-technical audiences
• Support optimisation initiatives, including scaling solutions to new datasets (e.g. DHL integration)
• Identify opportunities to improve processes and enhance efficiency
• Contribute to the development of in-house machine learning tools
• Monitor performance of analytical solutions and ensure they deliver expected outcomes

 

What We are Looking For

• Proven experience in a Data Analyst or similar role
• Strong analytical and problem-solving skills with knowledge of statistical techniques
• Experience delivering business outcomes through data analysis
• Ability to manage multiple priorities in a fast-paced environment
• Strong stakeholder engagement and communication skills
• Experience working with large datasets and complex data environments

• Strong SQL skills for data extraction and analysis
• Experience using Excel for data analysis and visualisation
• Exposure to Python, Spark or similar tools (or willingness to learn)
• Familiarity with modern data platforms (e.g. Databricks advantageous)

 

Personal Attributes

• Curious and proactive with a strong attention to detail
• Able to translate technical insights into business-focused recommendations
• Strong team player who collaborates across functions
• Motivated to learn, develop and continuously improve

 

What We Can Offer You

• Fully remote working
• Opportunity to work in a high-impact, growing data science team
• Clear development pathway into Data Science roles
• Exposure to senior stakeholders and business-critical projects
• A collaborative and innovative team environment
• Inclusive benefits designed to support your wellbeing and work–life balance

 

We Are Evri — Where Everyone Is Welcome

We’re committed to building an inclusive, diverse workplace where everyone can thrive. We celebrate individuality, encourage creativity, and support people to be their authentic selves.

We’re excited for the future — and we’d love you to help deliver it.

Every parcel, every person, every place – every delivery made for you.

Evri is leading the way in creating responsible delivery experiences for everyone, everywhere. And we’re doing that by offering the most convenient way to send, receive and return parcels without costing the earth.

Whether it’s a customer sending a present to a friend, a marketplace trader shipping in bulk or a major retailer such as John Lewis, asos or Next, we’ve got it covered. With our team of 30,000 couriers, thousands of local ParcelShops and a growing network of hubs and depots across the country, we safely get parcels from A to everywhere.

And it’s not just customers and retailers who trust us. We’ve won loads of industry awards over the past few years, including gongs for IT, innovation and our green fleet.

But we wouldn’t be the biggest dedicated parcel delivery company in the UK without amazing people. We’re a friendly, ambitious and diverse bunch, united by a passion for delivering the best customer experience. We have great opportunities throughout the business, so take a look to see where you might fit in. We can’t wait to hear from you.

Free digital GP service for all colleagues and their family

Wagestream - access a portion of your earned income before payday

Free basic Will and discounted partner mirror Will for all colleagues

Bonus schemes (grade dependent)

50% discount on sending parcels through Evri

Cycle to Work scheme

Company funded Life Assurance

Employee Assistance Programme with free counselling

Retailer discounts

Great career progression

Up to 26 days holiday

Voluntary flexible benefits at discounted corporate rates

Alternatively, please sign in with...


Published

Not Published

Closing

in X days

{Expiry}