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This is an incredible opportunity to join a growing and highly talented Business Intelligence team. You will be responsible for delivering and maintaining business-critical reporting systems across the Protein Works, including marketing, trading, operations, and finance. You should have a strong understanding of data engineering concepts and how to apply them using the Google Cloud Platform. A passion for data and its ability to improve business performance is essential.
Immediate Responsibilities
* Managing and delivering end-to-end BI reporting projects, from initial brief/requirement gathering to data pipeline development (APIs/ETL/ELT/SQL) to visualization.
* Undertaking ad hoc BI tasks based on business requirements and priorities.
* Maintaining and enhancing the data quality, security, and performance of the Data Lake/Warehouse as part of the BI team.
* Assisting Data Analysts in generating impactful business insights and analysis.
* Supporting the Senior Data Engineer in managing the BI ticket system to ensure timely resolution of tasks.
You’ll Naturally Like This…
* Having a "can-do" attitude.
* Being enthusiastic with a drive to improve and develop new ways of working.
* Ability to communicate complex topics clearly to various audiences.
* Self-motivated learner who shares knowledge across the business.
* Highly motivated self-starter.
* Valuing business impact.
* Being positively impatient.
* Building positive, productive collaborations and teams.
* Having excellent interpersonal skills.
Non-Negotiables
* Proven data engineering experience with an enterprise data warehouse platform.
* Strong SQL skills.
* Experience with visualization tools such as Data Studio, Tableau, Power BI.
* Ability to gather requirements and turn them into deliverables.
* Numerate, logical, and analytical mindset.
* Organized with excellent communication skills.
* Ability to multi-task and meet deadlines.
* Excellent relationship-building and influencing skills.
* Bachelor’s degree in computer science or related field.
* Experience with Google Cloud Platform/Data Stack, including BigQuery, Cloud Functions, Pub/Sub, IAM Management, Looker Data Studio.
* Familiarity with statistical/machine learning/AI concepts.
* Understanding of data pipeline/orchestration tools like dbt, dataform.
* Appreciation of GCP’s serverless technologies such as Cloud Run/Workflows.
* Understanding of Google’s marketing stack, including Analytics, Tag Manager, Ads, Search Console.
* Experience with low-code/no-code data platforms like Retool, Hex.
Core Behaviours
* Pace: Recognize speed as a key to growth; move quickly.
* Communication: Value team communication; collaborate face-to-face.
* Trust: Follow through on commitments and support colleagues.
* Transparency: Maintain openness and remove barriers.
* Challenge: Embrace discomfort and growth opportunities.
* Learn: Foster a culture of experimentation and continuous improvement.
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