Senior Data Analyst

DC Thomson
Closing Date: 31/12/2024
  • Remote (United Kingdom)
  • Data and Insights

Job Description

About DC Thomson:

At DC Thomson, we are a business with a purpose – to make a positive impact on the communities we serve.

We are home to some of the world’s best-loved media brands, organised around local news and radio, companionship, kids, advocacy, energy, puzzles and hobbies.

The Courier, The Press & Journal, The Sunday Post, Beano, Stylist, Puzzler, The People’s Friend, My Weekly, bunkered, Energy Voice, Findmypast and Brightsolid are just some of the brands you might know us for.

Deeply rooted in our communities, we are investing in data, technology and talent to unlock a new level of understanding about what really matters to our customers.

Why join our Data Science and Insights team?

  • We’re driven by the desire to create a fantastic customer experience.
  • We love nothing more than taking big data and extracting as much insight as possible.
  • We’re naturally collaborative and work closely with every other team within the company.
  • We’re neatly set up for flexible working and giving people the freedom to thrive.
  • We’re a supportive bunch and actively attend conferences, have discussion groups, and set aside dedicated time for learning and development.
  • We have an integrated cutting-edge data stack that allows you to push the boundaries of data analysis.

You won’t find any bureaucracy here, but you will find:

  • A generous holiday allowance with the chance to buy more
  • A pension contribution that stands out in the market (9.5% matched company contribution with a 6% contribution from the employee’s side)
  • All the health and wellbeing benefits you’d expect and some you wouldn’t
  • The chance to work with smart and fun people on products that will bring joy to millions

We value seeing each other in person from time to time. It helps us do great work. Whilst we are a remote-first team, we ask our colleagues to occasionally attend one of our office hubs in London or Dundee, so they can spend valuable time together working collaboratively.

About the Role:

Working within the Data Science & Insights team at DC Thomson, you will oversee the design, creation, and analysis of core datasets to aid brands such as The Beano, Stylist, Puzzler and The Courier make smarter decisions. You will be responsible for maintaining the accuracy of the reporting framework and empowering stakeholders across the company via data. This is a hands-on role that will play a crucial part in extracting value from data and thus, driving the growth of DC Thomson.

Here’s what the role involves:

  • Working alongside multiple functions: You’ll partner with a variety of teams (such as: product, marketing and editorial) to ensure data is at the heart of all our strategic decisions.
  • Evangelising self-service data analysis: You will inspire stakeholders to use data to tell the customer story and help them understand how data is key to learning from customers to create the best products.
  • Designing and building: Create magic through automated dashboards and reporting, thus, allowing stakeholders to seamlessly integrate data into their day-to-day work.
  • Enriching and creating data models: Ensure we are always using our data in the best way possible to maximise our insight.
  • Being a data leader in the business: Motivating and influencing senior leaders in the business to utilise insight and make data-driven decisions.
  • Maintaining our data governance: Ensuring stakeholders always have access to accurate up to date data.

We have a modern data stack already in place centred around a Snowflake data warehouse, dbt as the data transformation tool and our BI tool, Looker. We don’t expect you to be fluent with all these technologies, but we do want you to have experience with the following:

  • SQL-based data modelling (including version control)
  • Cloud-based data warehouses
  • Evidence of delivering several data projects
  • Complex analysis combining data from multiple sources
  • Presenting analysis in an effective manner to senior leadership
  • Developing analytics strategies to glean the most insight from data

Requirements

About You:

The ideal candidate will:

  • Bring excellent communication skills and a love of working in a team
  • Be an inspiring data leader in the company
  • Challenge the reporting status quo to extract more insight
  • Nurture the data-driven culture at DC Thomson
  • Deliver accurate meaningful data to multiple stakeholders

If you said yes to these, and this all sounds appealing, then get in touch. This could be the start of something special.

What to expect next:

Our interview process is fast and goes like this:

  • An introductory meeting with a member of our People Team (20-30 mins)
  • A short take-home test
  • A call with our Team Leads (45 mins)
  • A call with a member of the team and two key stakeholders (45 mins)

We don’t want our approach to hold anyone back, so if we need to tweak this for you, please just ask. Plus, we’d love to know your pronouns so please let us know when you apply.

To apply for this role, please follow our online application process and submit a CV and cover letter.

This role is a full-time, permanent and remote-first position, working 35 hours per week, with regular team days in our Dundee Meadowside and London Fleet Street office. We offer a generous package including 34 days holiday, Health Cash Plan, Onsite Staff Gym, excellent Pension, a competitive salary, and many more staff discounts and benefits.We are an equal opportunity employer and encourage applications from everyone and do not discriminate on the basis of race, religion, gender, sexual orientation, age, marital status, disability or any other protected characteristics.

If you have any issues with your application, please email recruitment@dcthomson.co.uk

Please note that we reserve the right to close the vacancy early once we have received suitable applications. Therefore, please ensure you submit your application as early as possible to avoid disappointment.