Senior Data Analyst (Digital Marketing)

Company Description

This role is available for Hybrid working from our central London office

Hi! We’re UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings!

We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. 

Got your attention? Read on…

We put people first. It’s all about you..

We are looking for a Senior Data Analyst specialising in Digital Analytics. This is the first technical Data role at UW  that will directly support our Digital Marketing Team, which is supporting UW’s business growth through various digital activities so you’ll need to be confident in this domain and have a really strong technical analytics background. Here’s the key skills and experience we’re looking for:

• Strong domain knowledge of digital marketing and the trends in the fast-evolving martech landscape
• Excellent understanding of statistical methodologies 
• Experience with developing data models in SQL / analytics engineering and an eagerness to develop technical skills further 
• Familiarity with tag management tools like Google Tag Manager (GTM)
• Strong organisational skills
• Strong commercial awareness to develop a solid understanding of the business and important fundamentals critical to scaling success

If you have the following then that’s great, but not essential:

• Previous experience with tools used by Data and Digital Marketing: Looker; Mixpanel; Optimizely; Google’s ecosystem (Google Analytics and Google Ads), Meta, LinkedIn and Microsoft ad platforms
• Knowledge of a programming language like Python or R may be useful for analysis and automation of some tasks
• Experience or exposure across key service categories such as energy, telco and financial service sectors

We work together. Your team and the people you will work with…

You will report directly to the Head of Digital Analytics and work closely with stakeholders such as Marketing Managers, Data Analysts and Product Managers.

The Digital Analytics Team sits within the Data function at UW, which has over 20 people in total including data engineers, data analysts and machine learning engineers.  Currently the team has a team lead who has been driving forward UW’s new behavioural event data architecture and an analyst who covers the customer experience of our Energy customers, but there is a business need for UW to become more data-driven on its digital marketing activity.

The Digital Marketing Team is a cross-functional team at UW that is primarily focused on driving acquisition of new UW customers, but is also working on digital campaigns for UW Partners and cross-sell opportunities for existing UW customers.  UW is a unique business because our customer growth has been through word-of-mouth channels, but the Digital Marketing Team’s activity has propelled customer growth further in the past few years and has become a key part of our marketing activity.

We deliver progress. What you’ll do and how you will make an impact.

Digital Analytics at UW is at the forefront of:

• Developing 360-degree views of our customers, Partners and prospects from rich behavioural data.
• Empowering stakeholders in over 20 product teams, Digital Marketing and other areas of the business to uncover actionable insights from user journeys.

There are three key categories of activities for this role:

• Building and refining web analytics dashboards: We have some self-serve dashboards that give a holistic view of the 100,000s of users who reach the UW website every week and form “BAU analytics” now for stakeholders in the business, but in this role you would refine the analytics further with data from other data sources so that the business value from the data can be taken to the next level.
• Undertaking deep dive analytics: UW’s business model and the Partner network bring unique challenges to understand how users interact with our marketing campaigns.  You will do deep dive analytics to understand how our campaigns are performing (on metrics such as CLTV, CAC, etc.), so that stakeholders can take meaningful action to improve how we direct our marketing spend & efforts.
• Enhancing our attribution efforts: We have invested in the past year in richer first-party tracking and behavioural data that we can utilise in our data layer.  You will utilise more server-side tracking in our marketing analytics, so that UW enhances how it does attribution.

So why pick UW?

We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits: 

• An industry benchmarked salary. We’ll share it during your first conversation.
• Share Options and Save as You Earn scheme.
• Hybrid working, with 2 days in the office. 
• Discount on our services and you get our coveted Cashback Card for free. 
• A matched contribution pension scheme and life assurance up to 4x your salary.
• Family-friendly policies, designed to help you and your family thrive.
• Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP.
• Belonging groups that help UW shape an even more inclusive future.
• A commitment to helping you develop and grow in your role.

Apply here!  

You’ve got this far… Hit apply – we can’t wait to hear from you! Worried you don’t hit all the criteria? We welcome applications from diverse and varied backgrounds so get your application in and let’s chat!

Claire Fennell will be your point of contact throughout the recruitment process.  

Additional Information

We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation.

Please note, if you are applying for a role which involves having access to personal data, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.