Strategic Insights Automation Analytics Engineer; RPA Specialist
Listed on 2026-07-09
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IT/Tech
Data Engineering, Data Analyst
Division / Department - Corporate Development
Grade - Level 1
Status - Full Time or Happy to Talk Flexible Working
Contract Type - Permanent
Salary Grade Range - £45,374 - £57,478
Working Hours - 36.0 Hours per Week
Shift Allowance - No
Politically Restricted - No
Location - Surrey Police Headquarters, Guildford
The starting salary for this role will usually be at the bottom of the salary range and will be pro-rata if the working hours are less than full time.
Chief Constables' MessageWe really welcome your interest in joining our Police Force. It is a privilege to lead the teams in Surrey Police and Sussex Police who continuously work selflessly and tirelessly in order to keep people in our counties safe.
We are looking for talented and inspirational people who put the needs of the public at the heart of everything that they do and who want to make a difference. If you feel you are that person then we want to hear from you.
We wish you all the very best with your application.
The Role &Key Responsibilities
From your first day with us you will be part of a policing family making a real difference.
It is our mission to identify and protect vulnerable people, prevent and respond to harm and keep people safe.
This role is pivotal in the drive to provide decision makers with dynamic access to information and be data informed. With the growing use of different technolgies to improve the service to the public it is vital Surrey Police has highly skilled technical data experts to transforms, tests and document raw data to create clean reliable data models in relation to Robotic Processes and automation.
Utilising but not exclusively using platforms such as Blue Prism, Mule Soft (for system integration), Microsoft Fabric as well as automation tools such as Power Automate.
Using Blue Prism to develop Robotic Processes to automated repetitive, rule-based tasks across the organisation to streamline processes and therefore improve our overall effectiveness and efficiency by releasing capacity whilst improving data quality and insights which can be gained by our data holdings.
To be responsible for the design of processes to prepare, enrich and document data for use by developers and analysts using semantic models, Lakehouse’s and data warehouses to enable provide insight.
Be proficient in ingesting or accessing data through various pipelines or dataflows, utilising multiple automation technologies from AI ML/GEN, Power Automate and Power Apps to enable developers and analysts to provide visualisation and insights via Power Bi and other tools to stakeholder and business teams to drive data driven informed operational decision making.
Be accountable for transforming and testing data with dataflows, procedures, and notebooks to enable developers to design and build user facing visualisations combining multiple data sets to provide organisational insight to previously hidden or hard to reach data assets.
Skills & ExperienceA degree in Computing, statistics, mathematics or a statistically related discipline or equivalent work experience.
Experience in developing Robotic Process Automations using Blue Prism. Experience in gathering business requirements and understand the business at different levels.
Demonstrate work experience in the creation and managing analytical assets such as semantic models, warehouses and Lakehouse.
Strong data modelling background with experience working with multiple data sources in cloud and fabric and deployment pipelines.
Industry experience in delivering Power BI/Microsoft Analytics solutions, with a good grounding in all associated areas including Governance.
Prepare and enrich data for analysis, securing and maintaining analytics assets and manage semantic models with associated documentation.
Experience in building dashboards, reports and cubes using SQL, MDX DAX, Power BI or other visualisation tools.
Experience of establishing and maintaining collaborative relationships with stakeholders, developers, analysts and data scientists internally and externally.
Good communication, interpersonal and presentation skills to influence internal and external stakeholders and suppliers.
Ability to self-manage…
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