Note: The job is a remote job and is open to candidates in USA. Serco is a company supporting high-profile projects for the US Army and other government clients. The Data Analyst will support the Global Logistics Augmentation and Support Services team and Army Sustainment Command at Rock Island Arsenal by performing complex analytics, developing algorithms and business process recommendations, improving logistics and materiel readiness, and communicating findings to stakeholders.
Responsibilities
- Perform analysis and analytics to produce algorithms and/or business process recommendations
- Use data, algorithms, and analyses to identify and apply mechanisms to both overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements, changes, and interventions
- Address complex analytical challenges and identify the challenges and opportunities within systems, develop comprehensive solutions, and incorporate these capabilities solutions into software and workflows
- Develop analytics and process solution sets, the criteria for recommended algorithms and processes shall include preference for efficient methods that use as simple of a process as possible given the current state-of-the-art practices. The analytics and process solution sets shall provide appropriate, economic savings-driven answers
- Regularly identify and communicate courses of actions required for program and project success, including appropriate reporting processes and applicable metrics to monitor and assess outcomes
- Proactively identify mechanisms to improve mission performance
- Use appropriate qualitative analytics techniques to include multi-criteria decision analysis, qualitative comparative analysis, causal mapping, formal game theory, minimax procedures (game theory), decision architecture, systems architecture analysis, organizational analysis and structural reform, supply chain analysis, and multinational best practices (military and industry) evaluation
- Use logistics and agent-based modeling and simulation
- Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum and beyond
- Produce formal use cases, software program change requests, and other required documentation for technology insertion into related defense logistics support software
- Interface and liaise with software program offices and contractors
- Conduct stakeholder analysis and create products for stakeholder communications and messaging
- Prepare and execute briefings, information papers, etc., on equipment issues to present at meetings, working groups, or conferences concerning organizational or functional areas of responsibility
- Utilize various logistics and analytical systems (i.e. DST, GCSS-A, LMP, GFEBs, etc.) and Microsoft Suite (i.e. Word, Excel, Access, PowerPoint, Word, etc.) to provide analysis, requirements, information papers, executive summaries (EXSUM), significant activities (SIGACTS), and guidance to enterprise
- Perform tasks to include planning, organizing, and performing analytical studies, developing new approaches to problems, developing solutions, and/or developing and interpreting broad logistics policies and regulations. Research to resolve unique logistics issues, where efforts often involve conflict resolution and where precedents do not exist
- Conduct research and analysis for new and long-range strategic application of logistic functions and requires analysis of interrelated issues of effectiveness, efficiency, and productivity of substantial mission-oriented logistics programs
Skills
- Ability to obtain a Interim Secret clearance
- US Citizenship
- Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline and 1 year of experience working directly on a data science team
- Working knowledge of tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries
- Experience creating meaningful data visualizations and interactive dashboards using platforms such as Excel, Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact
- Working knowledge of databases and SQL
- Superior communication skills, both oral and written
- Ability to travel up to 10%
- Knowledge of data science methods related to data architecture, data munging, data and feature engineering
- Experience developing software to generate reports and visualizations that summarize data sets and provide data-driven insights
Benefits
- Performance-based incentives may be available for eligible positions.
- Eligible employees may access comprehensive health coverage and health savings accounts.
- Medical, dental, and vision insurance for full-time employees; part-time employees receive a limited package tailored to their role.
- Robust vacation and sick leave benefits for full-time employees; part-time employees receive a limited package tailored to their role.
- Flexible work arrangements where permitted by role or contract.
- 401(k) plan that includes employer matching funds.
- Tuition reimbursement program.
- Life insurance and disability coverage.
- Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection.
- Birth, adoption, and parental leave benefits.
- Employee Assistance Plan
Company Overview