Fulltime, IT & Engineering, Permanent

Data Engineer / Analytics Engineer

Cobham

Job Responsibilities:

Data Infrastructure & Architecture

  • Design and implement scalable data pipelines and ETL processes.
  • Set up and maintain our data warehouse.
  • Ensure robust data governance and security.

Analytics Engineering & Dashboarding

  • Transform raw data into actionable models and data sets that can be easily consumed.
  • Build and maintain dynamic dashboards using tools like Power BI to democratise data access across the business.
  • Act as the go-to expert for the company’s analytics and reporting needs.

AI & Advanced Analytics

  • Research and propose advanced analytics solutions to drive insights into neighbour well-being, sales performance, and operational efficiencies.
  • Implement machine learning models or AI-driven tools to enhance decision-making and discover new business opportunities.

Collaboration & Communication

  • Work closely with cross-functional teams to understand data requirements and deliver solutions.
  • Translate complex technical concepts into clear, non-technical language for business stakeholders.
  • Advocate for data-driven practices and foster a culture of data literacy within Birchgrove.

Requirements:

  • Curious & Enthusiastic: You love exploring cutting-edge data technologies and constantly seek ways to learn and improve.
  • Self-Starter: You thrive in an environment where you have the autonomy to make decisions and implement ideas.
  • Excellent Communicator: You can convey complex information in a straightforward way, ensuring teams across the business can leverage data for informed decisions.
  • Technical Expertise: Experience with ETL tools (e.g. Fivetran) and data warehouses (e.g. Snowflake). Familiarity with analytics engineering principles.
  • Analytical Mindset: Strong ability to analyse data, identify trends, and craft data models that unlock value for the business.
  • Passion for Purpose: You share our commitment to enhancing the lives of our neighbours and are excited by the prospect of using data for social good.
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