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Afternoon Coursera Data Science Jobs (NOW HIRING)

... in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely ... Data Analyst, Coursera/Google Data Analytics) • Support Board‑level reporting needs in ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

... the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

The Opportunity Our Decision Science Analyst Lead provides decision support for business areas ... the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or ...

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Afternoon Coursera Data Science information

What are the most commonly searched types of Coursera Data Science jobs? The most popular types of Coursera Data Science jobs are:
Infographic showing various Afternoon Coursera Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 51% Full Time, 39% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Reporting Data Scientist

Reporting Data Scientist

AECOM

Sacramento, CA • On-site

Full-time

Re-posted 6 days ago


AECOM rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

13th of 80 rated construction


Job description

Job Summary:
AECOM is a global infrastructure consulting firm dedicated to delivering a better world. They are seeking a Reporting Data Scientist to support enterprise-level decision-making through advanced analytics, predictive models, and automated reporting solutions, transforming complex data into meaningful insights for leadership and stakeholders.
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.
Qualifications:
Required:
• BA/BS + 10 years of relevant experience or demonstrated equivalency of experience and/or education
Preferred:
• MBA
• PMP
• 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.
• Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data Analytics)
• Support Board‑level reporting needs in collaboration with the Finance Office.
• 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.
Company:
AECOM is the global infrastructure leader, committed to delivering a better world. Founded in 1990, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

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