Service Data Analyst

Job description


Job Description:

The Service Data Analyst is a role within the EMEAI Services team with a focus on gathering data, performing analytics and driving improvement. Reporting to the European Service Director, this role will primarily be responsible for compiling and maintaining an EMEAI database of the SES install base, tracking equipment performance, fault frequency and spare parts usage. Additionally, this role is expected to:

  • Partner with internal teams to develop new processes that improve the efficiency, reproducibility, and/or scalability of reports

  • Work with Customers, Distributers and Service Providers to establish and maintain a regular flow of operational data to Leidos.

  • Arrange meetings with stakeholders, create business requirements, improvement plans and generate and communicate reports



  • Develop tools and dashboards to facilitate business processes and increase productivity.

  • Establish and maintain an EMEAI install base of SES equipment.

  • Analyze large quantities of data to look for anonalies, key attributes and trends.

  • Develop new processes that improve the efficiency, reproducibility, and/or scalability of reports.

  • Complete validation on collected data.

  • Develop and document reports or analyses.

  • Support initiatives for data integrity and governance

  • Gain familiarity with internal tools used at Leidos for analytics purposes.

  • Assist in development or improvement of operational reporting.

  • Take ownership of existing reports and manually update data and perform reporting enhancements requests.

  • Shadow and understand change management processes for various development tools.

  • Map business workflows and continue documentation efforts as workflows evolve.


  • Manage new moderately complex reporting requests with little information, arranging meetings with stakeholders, gather business requirements and generate and distribute reports.

  • Support the production of custom analyses or new insights for strategic customers and operational reporting.

  • Effectively organize data in tabular, graphical and summary fashion for presentation to all levels of management as well as various other stakeholders.

Team Working

  • Work closely with internal Service teams including Service Programs, Service Admin, Spare Parts, Technical Support, Training and Field Service.

  • Work with direct management to prioritize business and information needs

Cross Functional Working

  • Contribute to cross-functional projects and work streams to support internal teams including Engineering, Programs, Product lines, Quality and Sales.

  • Collaborate with data insights and data products to overcome obstacles needed for pushing forward automation efforts.

Health & Safety

  • Always follow and promote Group and Company policies and procedures

  • Ensure all Company equipment and personal PPE properly used


  • Fully Understand and always adhere to the Company’s Equality Policy at all times

Company Values

  • All employees must conduct themselves in accordance with our Corporate Company Values and Business Ethics at all times

Required Skills & Attributes

  • Proficiency with MS Office and SharePoint

  • Strong proficiency with MS Excel (VLOOKUPs, Macros, Pivot Tables, PowerQuery)

  • Strong proficiency with MS Power BI

  • Ability to pull and join data from multiple data sources, analyze, develop initial insights and format for professional presentation.

  • Strong written and verbal communication skills

  • Comfort with ambiguity and fast paced, changing environment.

  • SQL experience: intermediate level (additional programming experience a plus. E.g. SAS, Python, R)


  • Minimum 2 years of experience in reporting/analytics

  • Experience in predictive analytics (predictive modeling and machine learning)

  • Experience working with a data analytics platform such as Alteryx, JMP Pro, or similar.

  • Past experience working in the security detection industry

  • Experience working in a global, large-scale services organization

  • Experience with Salesforce Service Cloud and Field Service Lightning

  • Experience with Oracle Analytics Cloud and Oracle Visualizer

  • Experience with Cognos

  • Experience with Toad Data Point and Toad Intelligence Central.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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