Sr. BI Analyst (Data Engineering)

Description

You will help build and grow a modern data foundation that lets the business make data-driven decisions across Global Supply Chain and Sales & Operations Planning.

You will build and maintain data products, pipelines and reports for users in Supply Chain, Operations, Finance, Markets and Channels, and help set up the company's new data platform on Databricks.

The Supply Chain Business Intelligence team connects supply chain stakeholders with the Digital Data Foundation teams. It protects data integrity, turns business needs into technical solutions and builds reporting and analytics products for strategic decisions.

Over the next 18 to 24 months, the team's main work is establishing a new Data Foundation in Databricks, a large transformation with lasting impact.

Success in this role means becoming a trusted team member, delivering data solutions actively, strengthening Databricks skills across the organisation, and building good working relationships with stakeholders.

Responsibilities

• Develop and maintain data products, data flows and reporting solutions for a range of business users.
• Build and improve scalable data pipelines using Databricks and Power Platform.
• Help establish a solid data foundation on the new company data platform.
• Work with supply chain and operations stakeholders to understand their needs and turn them into technical solutions.
• Keep data reliable, accessible and high quality across key supply chain information areas.
• Build reporting and analytics solutions with Power BI and related tools.
• Contribute hands-on Databricks work and help raise the team's data engineering capability.

Requirements

• Experience with Databricks data transformation and engineering.
• Experience building data pipelines with Databricks, Power Platform or both.
• A solid grasp of business metrics and analytics solutions.
• Experience building end-to-end data solutions, from source systems to business users.
• Experience with Power BI reporting and dashboards.
• Data modelling expertise.
• Experience managing dashboard and reporting portfolios.
• Experience prioritising projects in agile environments.
• Strong problem-solving skills, critical thinking and an analytical approach.
• Adaptability, a growth mindset and a drive to keep improving.
• Strong collaboration and stakeholder management skills.
• Data fluency and the ability to communicate insights clearly.

Conditions

The team works in three-week agile sprints with regular planning, retrospectives, knowledge-sharing sessions and stakeholder collaboration.

Your place of work is the office, store or factory named in the advert.

Hybrid working under the Best of Both model lets you work from home up to two days per week. Your people leader will explain how this applies to your role and team.

Applications are reviewed on an ongoing basis. The job may be amended or withdrawn at any time, including before the advertised closing date, so apply early if interested.

The company is committed to equal employment opportunity and equal pay, and welcomes applicants from all backgrounds.

Benefits

• Enhanced paid family care leave.
• Life and disability insurance for all colleagues.
• Resources and benefits for physical and mental wellbeing, plus community and creativity opportunities.
• A colleague discount from day one.
• A bonus scheme where you are rewarded when goals are met, if eligible.