Software Data Science & Analytics Engineer
Grand Rapids, MI, United States
Full Time Mid-level / Intermediate USD 93K - 143K
KION Group
Wir sind ein führender Anbieter für Gabelstapler und Lagertechnik sowie Automatisierungstechnologien und Softwarelösungen für die Optimierung von Lieferketten.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.What we offer:
Career Development
Competitive Compensation and Benefits
Pay Transparency
Global Opportunities
Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
The base pay range for this role is estimated to be $93,750-$143,750 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
Tasks and Qualifications: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%).
What We Are Looking For:
BS/BA in related discipline (Software Engineering, Data Science) with 5+ years of successful experience working data analytics arena
Experience with BI tools such as Power BI is a must
Knowledge of SQL, VBA, Python, Alteryxand Snowflake
Technical expertise regarding data models, database design, data mining and segmentation techniques
Familiarity with ERP systems & underlying data sources, SAP
Proven history of successful problem-solving
High degree of proficiency in MS Office Suite
Excellent verbal and written communication skills
Able to multi-task and work in a high-growth, fast-paced and deadline driven environment successful.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Ability presenting data findings in simple and easy to understand ways
Demonstrated ability to analyze data and business processes to drive results and continuous improvement
Agile technique knowledge/experience
#LI-JR1
Tags: Agile Data Analytics Data Mining Data warehouse Engineering Power BI Python Snowflake SQL Statistics
Perks/benefits: Career development Competitive pay Conferences
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