Data Scientist - SAC

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.

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 models, spaces, tables, views, and data structures within SAP Datasphere and SAP HANA;
• Knowledge of machine learning techniques;
• Experience with SAP Cloud technologies;
• Ability to analyze and interpret data from many sources, including field data and online data sources;
• Translate business requirements from various departments into technical analytics solutions and maintain documentation;
• Strong knowledge of Microsoft Office programs, especially Excel and Access, Word, and PowerPoint;
• Demonstrated capacity to learn new technologies;
• Knowledge of OneStream is a plus;
• Ability to multi-task effectively;
• Strong written and verbal communication skills and attention to detail;
• Ability to work independently as well as collaboratively with co-workers and clients;
• Proven organization and problem-solving skills; and
• Understanding of accuracy requirements.

Langan provides a rich array of programs and benefits to help its employees advance their careers and enhance the quality of their lives. Our comprehensive compensation package includes: full-time employment private medical insurance and dental coverage; life insurance; paid time off including parental leave; employee referral and professional license bonuses; and educational reimbursement.