Analytics Engineer

Babble is a Customer Experience-led growth business. As the ultimate Trusted Advisor for cloud-based technologies, we specialize in empowering businesses with the best solutions from the world's leading providers.

We are specialists in:

• Microsoft Modern Work
• Cybersecurity
• Mobile Solutions
• Communications & Connectivity

With thousands of customers, we're just scratching the surface of our potential. Many of our clients currently benefit from one or two of our technologies, presenting an incredible opportunity to introduce them to our full suite of market-leading solutions.

Join us on this exciting journey and let's achieve greatness together!

Are you passionate about telecoms? Do you thrive in a fast-paced, innovative environment? At Babble, we’re on a mission to be our customer’s most trusted advisor for cloud-based technologies. We’re looking for passionate and talented individuals to join our dynamic team. If so, we have the perfect opportunity for you!

We're looking for an Analytics Engineer to turn raw data into trusted, business-ready datasets that power self-service reporting, analytics, and decision-making.

Working between Data Engineering, Data Product Owner, and the business, you'll design and maintain analytical data models within our Snowflake data Lakehouse, curate governed datasets and support the ongoing maintenance and evolution of the enterprise semantic layer to ensure it remains accurate, scalable, and easy to use. You'll work closely with Data Product Owner, Business Analysts, and Business Stakeholders to translate agreed business definitions into trusted analytical assets that power OMNI, our enterprise analytics platform.

Design, build, and maintain dimensional and analytical data models within Snowflake.

Develop reusable, business-ready datasets using modern ELT practices.

Create and maintain fact and dimension models that support OMNI and wider reporting requirements.

Optimise analytical models for performance, scalability, and usability.

Support the delivery of trusted data products across key business domains.

Implement data quality checks and validation controls to ensure analytical datasets remain accurate, trusted, and fit for purpose.

Maintain and enhance the context layer and enterprise semantic layer that support OMNI and wider analytical reporting.

Implement and maintain approved KPI, metric, and hierarchy definitions.

Ensure metrics are consistently applied across OMNI and any other relevant reporting solutions.

Support the performance, governance, documentation, and ongoing maintenance of context layer and semantic layer components.

Contribute to semantic modelling standards and best practices.

Assess and manage the impact of business or source system changes on analytical models and reporting assets.

Deliver curated datasets that simplify reporting and analysis across OMNI.

Enable self-service analytics through well-designed and governed data structures.

Support BI Developers, Analysts, and business users with trusted data products.

Improve consistency, adoption, and usability of OMNI as the organisation's strategic analytics platform.

Partner with Business Analyst, Data Product Owner, and Business Stakeholders to understand analytical requirements and opportunities.

Work with Data Product Owner to implement agreed business definitions within the semantic layer.

Provide guidance on data modelling, analytics engineering, and self-service analytics best practices.

Support business adoption of OMNI through trusted and consistent analytical datasets.

Experience working with context layers to support semantic layer in modern analytics…