Analytics Engineer, MONY Group

• 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

• 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 data-driven decision-making
• In Data Engineering we are responsible for data integration from and to the group’s 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
• As an Analytics Engineer, you'll 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 team's growth
• If you're 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 data-related challenges to improve the efficiency and effectiveness of data analysis

• 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