Senior Analytics Engineer
Role details
Job location
Tech stack
Job description
The Senior Analytics Engineer is a key member of the Data & Analytics team, responsible for designing and implementing scalable data solutions that enable efficient analytics and reporting across the organisation. They will be required to create new professional standards for development activities and data solutions.
This role focuses on automating repetitive analyst tasks, optimising data workflows, and ensuring high-quality, reusable datasets to support business decision-making. The role holder will also be focussed on improving the standards of capability within the wider analytics team, and mentoring developers. The Analytics Engineer will work closely with data analysts, engineers, and business stakeholders to deliver robust, automated, and efficient data products.
They should be comfortable communicating with stakeholders across the business, from senior leadership to operational staff members., Our commitment to embracing diversity extends beyond just words. We actively foster an inclusive workplace that values the unique perspectives and contributions from all colleagues. We hold the belief that Equity, Diversity, and Inclusion are not just vital but fundamental to our success and growth. Our priority lies in shaping a business that mirrors the diverse communities we reach, truly making Post Office 'Everybody's Business'. As an equal opportunity employer, we value and celebrate the differences among our people, ensuring that our practices reflect our dedication to inclusivity and equal representation for all.
Requirements
- Proven significant experience in data engineering or analytics engineering roles.
- Strong proficiency in Python and SQL for data automation and transformation.
- Experience with Power BI optimisation and performance tuning.
- Familiarity with modern data platforms and cloud technologies (e.g., Azure, AWS, GCP).
- Track record of building scalable data pipelines and reusable datasets.
- Advanced technical skills in Python, SQL, and BI tools.
- Good working knowledge of statistics, including Bayesian, inferential statistics.
- Strong problem-solving and analytical thinking.
Benefits & conditions
Now, more than ever, we understand that attracting the right talent is pivotal in driving the positive change needed throughout our organisation. Beyond a competitive salary, we offer a comprehensive benefits package that includes:
- 27.5 days annual leave that increases with tenure
- Up to 18% on target bonus opportunity
- Car Allowance
- Generous pension contribution
- Life assurance
- Income protection after 12 months service
- Full support from our employee assistance programme and access to our employee benefits platform
- Ever-evolving learning and development opportunities