Data Visualization & Analytics Support

Fastenal•Winona, MN

1d•Onsite

About The Position

Working as Part-time Data Visualization & Analytics Support, you will assist in reporting and business process activities within the Data Analytics department, while also gaining knowledge and skills in more technical aspects of the department's roles. Work for this position will be conducted in-person at an office location in the city/state listed on the posting.

Requirements

18 years of age or older
Possess a High School diploma or GED
Excellent written and oral communication skills
Proficient using Microsoft Office Suite
Exhibit strong problem solving, deductive reasoning and decision making skills
Demonstrate strong attention to detail
Learn and perform multiple tasks in a fast paced environment
Maintain confidentiality and appropriately handle sensitive information
Highly motivated and self-directed and customer service oriented
Work independently as well as in a team environment
Demonstrate our core values of ambition, innovation, integrity and teamwork
Pass the required drug screen (applicable in the US, Puerto Rico and Guam ONLY)

Nice To Haves

At least 1 year of experience in a professional business environment
Possess or are working towards a degree in Statistics, Economics, Mathematics, Data Analytics, Operations Research, Business, Marketing, Management, Data Science or in a related field of study
Experience with analytical and statistical software packages such as R, SQL, PowerBI, SAS, SPSS, JMP or similar software

Responsibilities

Assisting various analysts on the team to complete projects, provide answers to business questions and information to reduce decision making uncertainty within the organization
Supporting visualization and reporting projects to provide end users with quality and effective information in an intuitive manner
Supporting analytics projects and predictive modeling based on varying sources of available customer and sales data, these projects will provide understanding in areas such as Market Basket, Location Effectiveness, Customer Segmentation, In-Branch Experience, Employee Performance, Product Mix and Inventory Effectiveness
Carrying out various business processes within the team that support company initiatives, including data entry and data processing tasks, communication with various other departments and personnel and documentation of ongoing project details
Assisting in research to determine the "why" behind the numbers and to generate hypotheses for further research
Reviewing and summarizing large amounts of data while maintaining a high level of accuracy
Learning and applying skills and techniques such as linear and logistic regression, decision trees, multivariate analysis, segmentation analysis and time series modeling
Gaining expertise on multiple analytical and reporting tools and leveraging them to optimize speed and quality of project deliverables as you progress in the position