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Reporting Data Scientist
- Sacramento, California, United States
- Sacramento, California, United States
À propos
Responsibilities
Develop, maintain, and continuously improve program-wide data models, analytics frameworks, and reporting workflows.
Build predictive and statistical models to forecast cost, schedule, risks, and performance metrics.
Create automated dashboards, visualizations, and analytical tools using Power BI and other platforms.
Conduct detailed data analysis to identify trends, anomalies, performance drivers, and optimization opportunities.
Partner with cost, schedule, and risk management leads to integrate data and produce unified analytical outputs for executive-level decision-making.
Support monthly and quarterly reporting cycles by preparing accurate, validated datasets and generating analytical insights.
Assess opportunities to automate manual reporting processes and streamline data flows.
Establish data quality standards and quality-assurance procedures for program data.
Collaborate with project teams to gather, validate, and consolidate data from multiple systems and sources.
Present analytical findings, dashboards, and recommendations to Executive Management, program committees, and other stakeholders.
Support Board-level reporting needs in collaboration with the Finance Office.
Qualifications
Master’s degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely related field.
Demonstrated experience producing data analytics, modeling, and reporting for senior-level audiences.
Experience implementing data strategies, analytics workflows, and reporting processes in a large program or enterprise environment.
Experience managing or contributing to analytics/reporting teams on major programs.
Strong knowledge of data management, business intelligence, document control, project controls, and management reporting techniques.
Ability to coordinate with cross-functional stakeholders and obtain accurate, timely data inputs.
Ability to develop and implement methodologies for analytics, reporting, dashboards, and visualization.
Proficient in Visualization of Kanban boards and building dashboards for project controlling.
Proficient in desktop publishing software, Visio, and professional graphics software
Proficient with data analytics tools such as PowerBI.
Experience building Kanban-style or Agile process visualizations.
Strong proficiency with data analysis, statistical tools, and modern programming languages (e.g., Python, R).
Excellent communication skills, including the ability to convey complex data clearly and tactfully to diverse audiences.
Preferred Qualifications:
MBA
PMP
Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data Analytics)
Salary Range: $135,000 to $170,000 per year
Location: Sacramento, CA
Work Environment: Onsite
Benefits and Perks: We offer multiple medical and dental insurance plans, as well as vision insurance. Plans are subsidized for both employees and dependents with coverage effective the first month after hire. Additionally, Cordoba provides employees with paid AD&D and life insurance, a 401k with an industry leading employer match, generous vacation and sick leave accruals, 9 paid holidays, and other forms of paid time off. We also offer flexible spending accounts (FSA’s) including medical care reimbursement, dependent care reimbursement, and commuter benefit plans. Employees are also eligible for our employee assistance program and well-being benefits that include stress management, nutrition, and financial well-being.
Cordoba Corporation provides equal employment opportunities, promoting diversity and inclusion. We welcome applicants regardless of race, color, religion, sex, national origin, age, disability, or genetics.
Harassment-Free Workplace: We strictly prohibit workplace harassment based on any factor, including race, gender, sexual orientation, or disability. Cordoba is committed to fostering a healthy and happy lifestyle for our employees, both within and beyond the workplace.
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Compétences linguistiques
- English
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