Negotiable
Undetermined
Remote
England, United Kingdom
Summary: The Data Analytics Engineer role involves designing and maintaining AWS Quicksight dashboards to provide actionable insights for pricing strategy and sales performance. The position requires analyzing financial data to support decision-making across various teams and collaborating with stakeholders to translate reporting requirements into effective analytics solutions. This remote position is ideal for candidates with strong SQL skills and experience in data analytics within a commercial environment.
Key Responsibilities:
- Design, build and maintain AWS Quicksight dashboards and reports that deliver clear, actionable business insight.
- Analyse financial and commercial data to support informed decision-making across sales and relationship management teams.
- Work with large SQL-based datasets, transforming and modelling data to ensure accuracy, consistency and usability.
- Analyse sales-related data to support performance reporting and commercial insight.
- Contribute to analytical work that supports pricing, commercial strategy and product performance.
- Partner with stakeholders across commercial, finance and technology teams to understand reporting requirements and translate them into effective analytics solutions.
- Ensure dashboards are intuitive, insightful and aligned to business objectives.
Key Skills:
- Strong experience delivering data analytics solutions using Power BI or AWS Quicksight within a commercial or enterprise environment.
- Advanced SQL skills, including querying, data modelling and performance optimisation.
- Proven ability to interpret financial and commercial datasets and present insights clearly to non-technical stakeholders.
- Experience working with pricing, sales performance or lending-related data is highly desirable.
- Financial services experience is beneficial.
- Strong analytical mindset with the ability to identify trends, risks and opportunities within data.
- Familiarity with similar cloud-based BI and analytics tools.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Data Analytics Engineer
Location: Remote
Salary: Competitive Market Rate
Why Apply? Fruition Group are representing a boutique technology consultancy who are specialist at delivering cutting edge solutions for public and private sector clients. They're known as the "Knights in Shining Armour". The role offers the chance to turn complex financial data into meaningful insight that directly supports pricing strategy, sales performance and commercial decision making.
Data Analytics Engineer Responsibilities
- Design, build and maintain AWS Quicksight dashboards and reports that deliver clear, actionable business insight.
- Analyse financial and commercial data to support informed decision-making across sales and relationship management teams.
- Work with large SQL-based datasets, transforming and modelling data to ensure accuracy, consistency and usability.
- Analyse sales-related data to support performance reporting and commercial insight.
- Contribute to analytical work that supports pricing, commercial strategy and product performance.
- Partner with stakeholders across commercial, finance and technology teams to understand reporting requirements and translate them into effective analytics solutions.
- Ensure dashboards are intuitive, insightful and aligned to business objectives.
Power BI Data Analytics Engineer Requirements
- Strong experience delivering data analytics solutions using Power BI or AWS Quicksight within a commercial or enterprise environment.
- Advanced SQL skills, including querying, data modelling and performance optimisation.
- Proven ability to interpret financial and commercial datasets and present insights clearly to non-technical stakeholders.
- Experience working with pricing, sales performance or lending-related data is highly desirable.
- Financial services experience is beneficial
- Strong analytical mindset with the ability to identify trends, risks and opportunities within data.
- Similar cloud-based BI and analytics tools.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.