Software Data Science & Analytics Engineer

at  Dematic Corp

This is an exciting opportunity for a dynamic data enthusiast to utilize
creative problem-solving skills that will drive efficiency in processes, tools, and
project execution. As a key role within the Integrated Business Planning organization, the Software Data Science and Analytics engineer will provide data aggregation and analysis which affords Dematic to make critical decisions around sourcing of projects globally. This role collaborates with our central data science team in data translations, data aggregation, and dashboarding output from different data sources. This person will serve as a liaison between other Dematic functions to maximize efficiency, create visibility, and bridge to execute project demand across the enterprise.

THIS IS WHAT YOU WILL DO IN THIS ROLE:

As a Software Data Science and Analytics engineer you will analyze the project backlog as well as sales pipeline, convert the data into information which allows visibility into demand shifts, technology and associated project roles and skills needs, financial options around sourcing, and to best allow for a global leverage of our capabilities. You will engage with other Dematic functions to build our data warehouse and analyze our capacity constraints, demand needs, and variables that play an important factor in business decisions around hiring, sourcing, training, and risk.

What you will also do:

• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Develop a wide range of concepts that meet or exceed the design criteria. Concepts may range from manual to fully automated solutions.
• Produce dashboards and charts that professionally summarizes the project execution metrics and business decision variables.
• Interpret data trends, analyze results using statistical techniques and provide ongoing reports and analysis.
• Identify data cleansing opportunities within our source systems and suggest ways to improve data accuracy and/or collection of new data points. Acquire data from primary or secondary data sources.
• Thoroughly understand the practices, methodologies and requirements of the project departments and serve as advisor to all group members.
• Perform analysis of capacity and demand so as to develop objective scenarios by which to meet or exceed project execution.
• Conduct periodic status checks to assess progress against plan.
• Collect data that accurately represents project requirements.
• Stay abreast of current / future operating strategies and technologies by attending conferences, seminars, etc.
• International and domestic travel may be required (up to 15%).