Back to jobs

Consumption Data Analyst

Pay
Pay not listed
Work setting
Not stated
Employment
Permanent · Full-time — employment source
Circa £34,231 (depending on Skills & Experience) Permanent Full Time / 37 Hours (Flexible working opportunities available)
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • You'll build rapport, seek to understand others and develop effective working relationships.

From the employer’s posting
You'll agree clear expectations about what you can achieve and when, take ownership of your commitments and flag early if delivery is at risk. You'll build rapport, seek to understand others and develop effective working relationships. You'll communicate clearly and concisely, avoiding unnecessary jargon.

Benefits in the posting

Full benefits wording
  • 26 days annual leave plus bank holidays (increasing with length of service)

From the employer’s posting.

Apply at Awg

Posting record

Report an error

Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 41.

At Awg, jobs usually come down by about day 16.

From 12,200 similar postings that came down, and 12 of Awg’s. Coming down is not always a hire.

Awg is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Excel
  • Power BI
Where the posting names them
- Strong influencing and business-partnering skills, including the confidence to constructively challenge requirements. - Intermediate coding skills in relevant toolsets such as SQL, Python or DAX. Why join Anglian Water?
- Source relevant data using your stakeholder network, data catalogues and data architecture models, supporting improvements to data quality where needed. - Cleanse, combine and analyse datasets using relevant analytical tools such as SQL, Power BI and Excel, applying an understanding of data modelling practices and reverse engineering existing models where required. - Create compelling reports, dashboards and visuals, applying user experience principles to make complex consumption data understandable and useful.
- Demonstrable experience applying strong maths and IT skills to create analytics products. - Experience with Excel formulas and some knowledge of SQL. - Experience creating and communicating compelling data visuals using Power BI and Excel that align with business goals, inform decisions and drive action.
- Experience with Excel formulas and some knowledge of SQL. - Experience creating and communicating compelling data visuals using Power BI and Excel that align with business goals, inform decisions and drive action. - An understanding of data modelling patterns and standards.

Your next step

Complete your application on awg.wd3.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,385, and the latest week had 1,346.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Circa £34,231 (depending on Skills & Experience) 

Permanent 

Full Time / 37 Hours (Flexible working opportunities available) 

Huntingdon or Peterborough - Hybrid 

Double Matched Pension Scheme (up to 21% combined) 

Private Healthcare 

Make every drop of your potential count! 

 

We're looking for a Demand Reporting Data Analyst to join Anglian Water's Strategic Asset Management team and help shape how consumption data is understood, reported and used across the business. 

 

Our smart meter estate is expected to grow to 2.3 million meters by 2030, creating a rapid increase in the volume, frequency and strategic value of water consumption data. As part of our central Consumption Data Team, you'll turn this information into compelling reporting and actionable insight that strengthen regulatory reporting, demand management, leakage understanding and long-term water efficiency. 

 

This is a hands-on data analyst role with real operational and environmental impact. You'll work with large, high-frequency datasets, combining analytical skills with a strong understanding of the business to create reports, dashboards and insights that improve how we understand household and non-household consumption. You'll work closely with stakeholders to identify opportunities, improve data quality and develop analytics products that support better decisions and our ambition to achieve world-leading water efficiency outcomes. 

 

What you'll be doing: 

  • Work proactively with stakeholders to understand their reporting and analysis needs, identifying where analytics can add value to consumption reporting and business decisions. 
  • Keep stakeholders informed, agree clear expectations and manage the delivery of analytics products. 
  • Source relevant data using your stakeholder network, data catalogues and data architecture models, supporting improvements to data quality where needed. 
  • Cleanse, combine and analyse datasets using relevant analytical tools such as SQL, Power BI and Excel, applying an understanding of data modelling practices and reverse engineering existing models where required. 
  • Create compelling reports, dashboards and visuals, applying user experience principles to make complex consumption data understandable and useful. 
  • Explore and blend different data sources to identify trends, answer business questions and uncover opportunities, remaining impartial and guided by the evidence. 
  • Translate findings into clear insights and practical recommendations, using visual storytelling to support action and constructively challenge where needed. 
  • Work collaboratively with subject matter experts, reporting teams and multidisciplinary data colleagues, taking shared accountability for delivering business value. 
  • Maintain product information in relevant catalogues and regularly review analytics products with stakeholders, enhancing or retiring them as business needs change. 
  • Build a strong understanding of the business areas your products support, how stakeholders use them and where further improvements could add value. 
  • Identify opportunities to improve data management and quality assurance practices. 
  • Work within relevant standards, governance and analytics principles. 

 

What we're looking for 

  • Demonstrable experience applying strong maths and IT skills to create analytics products. 
  • Experience with Excel formulas and some knowledge of SQL. 
  • Experience creating and communicating compelling data visuals using Power BI and Excel that align with business goals, inform decisions and drive action. 
  • An understanding of data modelling patterns and standards. 
  • Experience troubleshooting issues with datasets, identifying potential solutions and implementing improvements. 
  • Experience translating business needs into analytics opportunities and promoting and working within standards and governance. 
  • Excellent written and verbal communication skills, with the ability to adapt your approach to different audiences and turn data into clear insights. 
  • A logical, analytical approach, with the ability to cleanse and synthesise data into useful solutions. 
  • The ability to maintain a varied portfolio of analytics products and accept and build on feedback. 
  • You'll speak up when something isn't right and use a balanced mix of facts, opinions and experience to inform your decisions. 
  • You'll agree clear expectations about what you can achieve and when, take ownership of your commitments and flag early if delivery is at risk. 
  • You'll build rapport, seek to understand others and develop effective working relationships. 
  • You'll communicate clearly and concisely, avoiding unnecessary jargon. 
  • You'll take responsibility for your learning and career development, ask questions and remain curious. 
  • You'll try new ways of working and take calculated risks to drive improvements. 
  • You'll champion digital technology as a way to deliver positive change. 

 

Desirable: 

  • Experience working with meter reading, smart meters and time series data, recognising its suitability for different purposes and explaining this clearly to stakeholders. 
  • Experience contributing to a multidisciplinary data team. 
  • Strong influencing and business-partnering skills, including the confidence to constructively challenge requirements. 
  • Intermediate coding skills in relevant toolsets such as SQL, Python or DAX. 

 

Why join Anglian Water? 

At Anglian Water, data is central to how we secure resilient water supplies and support customers to use water more efficiently. In this role, you'll help unlock the value of one of the UK's fastest-growing smart meter datasets and directly influence how we understand demand, improve reporting and plan for the future. 

 

You'll gain exposure to complex, high-value data science challenges with clear regulatory, operational and environmental outcomes. Working alongside Data Engineers, reporting specialists and subject matter experts, you'll develop your capability across modelling, machine learning, data pipelines and applied water-sector analytics while helping establish sustainable in-house expertise. 

 

This is an opportunity to create data products that move beyond reporting to diagnostic and prescriptive insight, supporting better decisions across water resources, customer demand and leakage performance. 

 

Benefits 

  • 26 days annual leave plus bank holidays (increasing with length of service) 
  • Flexible working options 
  • Private health care 
  • Competitive pension scheme - Anglian Water double-matches contributions up to 7% 
  • Life assurance at eight times your salary 
  • Annual bonus 
  • Potential funded car allowance depending on evidenced business mileage 
  • Personal medical assessments 
  • Virtual GP service 
  • Cancer screening 
  • Financial wellbeing support and salary finance benefits 
  • Lifestyle savings including discounts on retail, travel and utilities 
  • Employee Assistance Programme 
  • Volunteer days 

 

Inclusion at Anglian Water 

We're committed to creating a workplace where everyone feels they belong. We are proud signatories of the Social Mobility Pledge, Race at Work Charter and Armed Forces Covenant, and we're a Disability Confident employer. 

 

Closing Date: 23/11/2026

 

#loveeverydrop

 

#LI-ZP1

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Huntingdon

Full Time / 37 Hours (Flexible working opportunities available) Huntingdon or Peterborough - Hybrid Double Matched Pension Scheme (up to 21% combined)
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.