Analytics Engineer
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
Were the UKs leading premium publisher and the people behind iconic media brands such as Cosmopolitan Esquire ELLE Harpers Bazaar and Country Living. Weve created a working environment that encourages everyone to pull together. We never stop looking for brave new ideas. Well always try to develop and improve we trust each other to do our best and we have fun as we build on our heritageto make history.
The Role
As the Analytics Engineer you will play a key role in helping the business understand our customers. Sitting between data engineering and analytics youll be the person who empowers analysts with clean reliable and accessible data building the datasets pipelines and tools they need to explore insights while also enabling and contributing to more advanced analytics such as RFM scoring segmentation and predictive modelling.
Main Duties
Build and maintain data models and pipelines within our GCP data environment to make data accessible reliable and usable for analysts and stakeholders.
Collaborate with Merkle engineers (who maintain our GCP-based data lake)to ensure data lake architecture supports evolving analytical and reporting needs.
Work with analysts to understand their data requirements designing scalable solutions that support dashboards customer metrics and campaign analytics.
Support advanced analytics projects including RFM scoring customer segmentation and predictive models that help inform marketing and retention strategies.
Optimise data workflows to improve performance reduce duplication and support self-serve analytics through tools like Looker and our CDP ActionIQ.
What We Are Looking For
At least 24 years of experience in a data or analytics engineering role
Proficient in SQL and experienced working with large datasets within GCP (BigQuery) or similar cloud environments.
Experience with Python for data transformation and automation.
Experience with code management review and reversion using GitHub
Comfortable collaborating with both analysts and engineers translating business needs into robust technical solutions.
Familiarity with Looker (or another BI tool) and an understanding of how to structure data for efficient dashboarding and self-serve analytics.
Exposure to customer analytics concepts such as segmentation LTV churn and RFM analysis is a plus.
An interest in predictive analytics or data science (experience in predictive modelling or machine learning would be a bonus).
Strong communicator who enjoys helping others make the most of data.
Benefits
(Your benefits at Hearst UK are more than just extrasthey are tools to help you thrive in every part of life.
- Hearst Exclusives - Only for You!
- Get adventurous with Good Housekeeping Taste and Beauty Testing Panels - yes you could be trying the next big thing in beauty food & drink.
- Snag luxe beauty steals at our legendary office sample sales - score big on top brands without breaking the bank!
Inclusion Health & Wellbeing: Feel Your Best
- Stay healthy with Specsavers eye care a company-funded Health Cash Plan and access to mental health support.
- Get active and stress-free with discounted gym memberships and the Cycle to Work scheme.
- Embrace flexibility with a Location Flex and Holiday Exchange to take time when you need it.
- Take time to give back with a Charity Day and access wellbeing resources whenever you need them.
- Join one of our Hearst ERG Groups.
Financial Wellness - Boost Your Budget
- Plan ahead with a generous Workplace Pension Income Protection Life Assurance and Season Ticket Loan for easier commuting.
- Make smarter money moves using Salary Finance tools Financial Wellbeing sessions and Home Tech benefits to spread costs.
- Treat yourself with major discounts across London plus everyday savings via the HAPI at Hearst app
Hearst UK is deeply committed to using our influential brands to reflect the world we want to live in one that respects protects represents and uplifts the voices and opinions of all people. As a business we recognise the significant benefits of creativity collaboration and innovation that comes with diverse teams. Not only is diversifying the voices in our organization the right thing to do but it also helps us to make powerful and exciting content that can be enjoyed by many more people. This is why were working to build a sense of true belonging within our business and foster a culture in which everyone feels heard.
Required Experience:
IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Hearst Television (HTV) owns and/or operates 35 television and two radio stations serving 27 media markets across 39 states reaching over 22 million U.S. television households. HTV is recognized as one of the industry's premier broadcasting companies and has been honored with numerous ... View more
