Data Analyst
Serco
About the role
Serco Inc. is a leading provider of public services and solutions across defence, citizen services and transportation. With more than 9,000 employees in North America, Serco partners with the U.S. military, federal agencies and international governments to deliver missionβcritical services that improve efficiency and citizen experience. The companyβs culture blends a strong sense of purpose with a collaborative environment, encouraging employees to innovate, take ownership and grow their careers across a wide range of domains.
The Data Analyst role sits within the Global Logistics Augmentation and Support Services (GLASS) team, supporting the Army Sustainment Command (ASC) at Rock Island Arsenal. This position works on highβvisibility logistics projects that directly influence materiel readiness for the U.S. Army.
The analyst will translate complex data sets into actionable insights, develop algorithms, and recommend process improvements that drive costβeffective readiness solutions.
Key Responsibilities
- Perform advanced data analysis and develop algorithms to recommend business process improvements.
- Identify impediments to materiel readiness and propose dataβdriven solutions using costβbenefit analysis.
- Design and deliver analytics and process solution sets that prioritize simplicity and economic savings.
- Create formal use cases, software change requests, and documentation for technology insertion into logistics support software.
- Interface with software program offices, contractors, and stakeholders to ensure seamless integration of analytical outputs.
- Conduct stakeholder analysis and produce briefing materials, information papers, and executive summaries.
- Utilize logistics and analytical systems such as DST, GCSSβA, LMP, GFEBs, and the Microsoft Office suite for reporting and decision support.
- Apply qualitative analytics techniques including multiβcriteria decision analysis, game theory, and supplyβchain modeling.
- Develop interactive dashboards and visualizations using Tableau, Power BI, or similar tools to communicate insights.
- Travel up to 10% to support onβsite meetings, workshops, and stakeholder engagements.
Tech Stack: Python, Java, R, MATLAB, SQL, Tableau, Power BI, Excel, Access, PowerPoint, DST, GCSSβA, LMP, GFEBs.
Growth Path: Successful analysts can progress to Senior Data Analyst, Logistics Data Scientist, or Program Manager roles within Sercoβs defence portfolio, gaining exposure to larger contracts and leadership responsibilities.
Why Join Serco: The role offers the chance to work on missionβcritical defence projects, collaborate with seasoned logistics experts, and leverage cuttingβedge analytical tools. Employees benefit from a supportive culture, competitive compensation, and a clear pathway for professional advancement while contributing to national security objectives.
Eligibility & process
Who can apply
US Citizenship; Ability to obtain a DoD Secret security clearance; Bachelorβs degree in Data Science, Mathematics, Statistics, Economics, Computer Science, Engineering or related quantitative discipline; Minimum 1 year of handsβon experience on a data science team; Minimum 60% academic score or equivalent GPA; No pending backlogs; Ability to travel up to 10% of the time.
Skills & stack
Selection process
- Round 1: Online assessment (aptitude, logical reasoning, basic data concepts)
- Round 2: Technical interview (programming, analytics case studies, tools proficiency)
- Round 3: HR interview (fit, motivation, security clearance discussion)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Serco's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.