Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout North America and around the world. Our employees collaborate seamlessly among 50+ offices and gain valuable hands-on experience that fosters career growth. Langan culture is entrepreneurial from advancing innovative technical solutions, to participating in robust training and knowledge sharing, to making progressive change within the communities we live and work.

Consistently ranked among the top ten “Best Firms to Work For” and Engineering News-Record’s top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Employees thrive at Langan, a firm that fosters an inclusive and supportive work environment for all; prioritizes wellbeing, health, and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon-neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions.

Job Summary

We are seeking a skilled and detail-oriented SAP SAC, HANA, and Datasphere Analyst to design, build, and optimize our enterprise data and reporting landscape. In this role, you will bridge the gap between technical data engineering and business reporting. You will work hands-on with SAP Datasphere, SAP HANA modeling, and SAP Analytics Cloud (SAC) to deliver scalable data models, interactive dashboards, and actionable business insights.

Job Responsibilities

• Effectively research and develop statistical learning models for data analysis and perform manipulations and visualization of business data using data visualization tools and techniques.
• Collaborate with IT and other disciplines team to establish business needs; analyze and interpret large amounts of data, provide analysis and recommendations.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques; identify and define new data collection and analysis processes.
• Develop custom data models and algorithms to apply to data
• Develop processes and tools to monitor and analyze model performance and data
• Consult with project teams and advise on the selection of visualization software and convert any existing data into the appropriate format.
• Recommend new approaches and ideas that continuously improve efficiency and services
• Remain current on technology practices, guidelines, and best management practices as well as attend internal training and external seminars to expand knowledge and skills.
• Maintain an understanding of in-house resources and external sources of information and technology
• Participate in cross-discipline training and assist with projects outside one’s own discipline (data collection or reduction, design assistance, field assistance).
• Collaborate with team members on project tasks and
• Performs other duties as requested.

Qualifications

• Bachelor’s degree in Computer Science, Management Information Systems, or related field;
• Experience using statistical computer languages (R, Python, SLQ, etc);
• Demonstrated understanding of data mining techniques and ability to apply techniques in practical business environment;
• Design and develop analytical model