Analytics Engineer
Analytics Engineer
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Job Description
ANALYTICS ENGINEER
ABOUT US
Every day we push beyond expectations to help millions of people at a time when its never mattered more. Through MoneySuperMarket MoneySavingExpert Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors helping UK households to save billions of pounds a year. Can you tell this is something were exceptionally proud of!
Creative collaborative ambitious its hard work. But what makes it worth it Leaving work knowing weve made a difference to our customers users and to each other.
Put our distinct brands together with our dedicated colleagues and youve got a workplace with lots of personality. Were openminded diverse and love our differences. Everyone plays a part and comes together to work hard go beyond and make sure everyone feels they belong.
Our Data team is growing and were hiring for an Analytics Engineer who can join our Comparison collective. Join us to start going beyond comparison.
ABOUT OUR DATA STRATEGY
As part of the MONY Group Data Team our goal is to drive business growth by building and maintaining data products that power analytics and personalized customer experiences. We work closely with teams across the business to ensure that data is clean reliable and accessible for datadriven decisionmaking.
In Data Engineering we are responsible for data integration from and to the groups operational data stores providing a common data model which serves as a source of truth for financial reporting analytics CRM and data science alike and the tools and services used by other data teams to improve their secure data handling practices and development experience.
ABOUT THE ROLE
As an Analytics Engineer youll work closely with data scientists analysts and product teams to understand their needs and translate them into robust scalable data pipelines. We leverage modern data stack technologies like Apache Airflow BigQuery and dbt to ensure our data is always accessible reliable and ready for analysis. Recently we have invested in AI tools to dramatically improve the speed at which we understand existing transformations and author new ones.
We are passionate about continuous improvement embracing DevOps practices and a collaborative environment where everyone shares ownership and contributes to the teams growth. If youre excited by the challenge of building a data foundation that empowers our entire organization this is the perfect opportunity for you.
Build and maintain scalable data models using SQL and DBT optimized for data analytics data science and BI reporting.
Collaborate with data scientists analysts and business stakeholders in a variety of data domains to understand data needs and translate them into actionable insights.
Develop and maintain data quality standards to ensure data accuracy and integrity.
Contribute to the development and implementation of data governance policies to ensure responsible data management.
Stay up to date on emerging data technologies and best practices.
Proactively identify and solve datarelated challenges to improve the efficiency and effectiveness of data analysis.
WHAT WERE LOOKING FOR
Essential:
Excellent SQL
Strong understanding of data modelling
Professional DBT experience
Experience with BigQuery (or other cloud data warehouse solutions)
Comfortable using a version control (Git & GitHub or similar)
Familiarity with IDEs like VSCode DataGrip PyCharm
Desirable:
Experience writing Airflow DAGs for data ingestion
Tableau (or other data visualisation tools)
Familiarity with Terraform Docker and bash
Knowledge of continuous integration/deployments
WHAT REWARDS ARE ON OFFER
Up to 30 holidays bank holidays
Pension up to 6 employer contribution
Bonus scheme
Enhanced shared parental leave 6 months paid for both parents
Digital Doctor on demand
Work from anywhere scheme 2 weeks per year
Financial coaching
Mental health platform access
HOW WELL INVEST IN YOU
Were invested in your development. Expect mentorship training and opportunities to expand your skill set including access to your own individual LinkedIn Learning license with access to over 16000 courses. Additionally we utilize AI tools and Copilot to stay updated with trending technologies and to assist with daily tasks ensuring you have the best resources at your disposal.
INTERVIEW PROCESS
1. 45mins call to run through your experience and the role
2. 60mins interview focused around your technical knowledge
3. 30mins interview with questions focused on your behaviours and how you work with others
At MONY Group we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. Were committed to minimising systemic bias and creating a level playing field for all candidates.
Contact us for reasonable accommodations in the application process no need to disclose your disability or condition just specify your needs. Unsure what to ask for We can guide you through available accommodations.
We understand that job adverts only say so much and youre likely to have a lot of questions. If youd like to know more before applying such as more on hybrid working salary our parental leave policy etc please just let us know and well be happy to help. You can contact the recruiter for this role Kim at
We believe that success isnt solely defined by ticking boxes on a skills checklist. We encourage your application so we can discover your skills and experience that will help you succeed in this role.
Employment Type
Full-Time
