You are viewing a preview of this job. Log in or register to view more details about this job.

Operations Research Analyst

Operations Research Analyst/Data Analyst
Thank you for your interest in St. Onge Company! We are proud to have established a reputation as a premiere supply chain engineering consulting partner for some of the world’s biggest brands for more than 35 years. Our people are what has made everything possible. Taking care of our employees and our clients are our biggest priorities. 
In response to COVID-19, we have taken a close look at our review process to ensure that we do what is best for our most important asset, our people. We appreciate your patience as our processes may include virtual or other creative solutions and may make the interview process longer than usual.
Job Description:
St. Onge Company is looking for a talented Data Analyst to join our team! This role requires someone who loves to use their creativity and skills to solve complex supply chain problems. Having strong data scrubbing, ETL, analytical, BI & visualization, and scripting skills are vital in this position. 

Examples of projects may include but not limited to:
1.      Generating descriptive profiles from client’s historical data; Developing predictive analysis techniques & algorithms to improve supply chain operations; Identifying Prescriptive analysis opportunities from previous analysis work flows to support Industry 4.0 initiatives.
2.      Developing effective and responsive data visualization dashboards using Tableau, Power BI, Qlik, Cognos etc.
3.      Capacity planning, optimal production planning, constraint driven scheduling, logistics/network analysis, risk modeling, simulation & modeling of client’s supply chain operations.

The ideal candidate will have strong data skills along with mathematical solver and heuristics programming skills & experience.

You will have access to an incredibly deep talent pool. Our managers take a vested interest in mentoring our engineers to help give you the tools you need to build the career you want.

If you are looking for an employer that encourages you to share ideas, use creativity to solve complex problems, and fosters an environment of career growth and development, then apply today!

You might like this job if:
  • You are a self-starter, eager to learn, excited by challenging work, and thrive individually and as part of a team. We have an incredible working environment that promotes career and personal growth. 
  • You are a passionate problem solver who puts the client first and has a strong desire to make a lasting impact. You are excited to grow personally and professionally by exhibiting our core values: creativity, competence, integrity, hard work, wisdom, and generosity.
  • You simply like to program to solve challenging problems!

Education and Experience:
  • Bachelor’s Degree in Operations Research, Data Analytics, Computer Science, Applied Statistics/Mathematics, Economics or other related field of study. Master’s degrees in same disciplines preferred but not required.
  • The ideal candidate will demonstrate a high level of competency in areas such as data analysis, scripting, visualization, developing operational models of client’s supply chain.
  • Be able to work within a team, yet be self-directed/motivated.
  • Be results oriented, have a high level of energy, and have experience in a fast-paced Agile environment.
  • Must be comfortable in giving presentations to clients. Strong oral and written communication are critical to success.
  • Experience in the manufacturing and distribution domains of supply chain including raw material, semi-finished, and finished goods packaging and distribution is highly desired.
  • Experience with simulation & modeling tools, highly desired.

Technical Skills Required:
  • 1+ years of experience with database platforms (SQL Server, Oracle, MySQL etc.)
  • 1+ years of experience using Microsoft Excel platform including analysis using Excel.
  • 1+ years of experience in mathematical solving and heuristics programming. In particular CPLEX/OPL programming highly desired.
  • Proficiency & experience with solver libraries and operations research tool kits such as CPLEX, Gurobi, FICO, COIN-OR, Machine Learning, etc.
  • Data analysis experience using Excel, SAS, R, JMP, Minitab, and/or KNIME platforms
  • Experience using BI/Visualization tools such as Tableau, Power BI, Cognos, Qlik preferred.
  • Scripting experience using Python and JavaScript to automate work flow, when needed
  • Familiarity with workflow automation/Robotic Process Automation, a plus
  • Familiarity with major technology stacks such as MEAN, .NET, LAMP, etc. is also required.
  • This position is based in York, PA but remote candidates will be considered.
  • Travel is required, typically 30-50%, subject to COVID-19 protocols and approvals from both St. Onge Company and client.