What are the responsibilities and job description for the Data Support Analyst position at Fastenal?
Job Description
Data Support Analyst
212 W 2nd St, Winona, MN 55987
HEADD
Part-time Shift(s): MON TUE WED THU FRI 7:00am - 5:00pm
10 - 28 hours/week
Overview
Working as Part-time Data Support Analyst, you will be responsible for supporting scheduled and ad-hoc data extraction, processing and report requests. While this position may offer a flexible schedule after a period of onboarding, training, and meeting performance goals, it does require in-person weekly work at the location listed on the posting.
Responsibilities
The duties and responsibilities of this position include, but are not limited to:
The following skills and qualifications are required for this position:
Since 1967 Fastenal has grown as a distributor of industrial and construction supplies from a single branch to a Fortune 500 company with over 3,000 servicing locations, each providing tailored local inventory and personal service for our customers. As we've expanded across the world, we've retained a core belief in people and their ability to accomplish remarkable things - if given the opportunity. From this philosophy stems an entrepreneurial culture that challenges every employee to run their own business, create their own success, and advance to become company leaders.
As a growth company with a solid financial position, we are committed to training, promoting from within, and creating opportunities for our employees. If you have an entrepreneurial spirit and are looking to make your mark as part of an elite growth company, you won't find a better fit than Fastenal.
Part-time Benefit
Fastenal offers a 401(k) with an employer contribution.
Compensation
The pay range for this position is $16/hr -18/hr.
Data Support Analyst
212 W 2nd St, Winona, MN 55987
HEADD
Part-time Shift(s): MON TUE WED THU FRI 7:00am - 5:00pm
10 - 28 hours/week
Overview
Working as Part-time Data Support Analyst, you will be responsible for supporting scheduled and ad-hoc data extraction, processing and report requests. While this position may offer a flexible schedule after a period of onboarding, training, and meeting performance goals, it does require in-person weekly work at the location listed on the posting.
Responsibilities
The duties and responsibilities of this position include, but are not limited to:
- Processing scheduled and ad-hoc data exports and reporting requests
- Identifying and efficiently extracting complex datasets from multiple sources through the efficient and effective use of well-crafted queries
- Reviewing and testing your queries to ensure accuracy and reliability, and debugging issues that arise
- Processing report provisioning and access requests
- Providing troubleshooting and routing of requests for support on data exports and published reports
- Communicating with requestors through the service ticket process to ensure successful and timely completion of the request
- Documenting queries used to explain their purpose, logic and specific considerations to assist in expediting similar requests in the future
- Adhering to the governance and role level security of data and reporting access relevant to each individual situation
The following skills and qualifications are required for this position:
- Possess a High School diploma or GED
- Excellent written and oral communication skills
- Proficient using Microsoft Office Suite
- Highly motivated, self directed and customer service oriented
- Demonstrate strong organization, planning and prioritizing abilities
- Exhibit strong problem solving, deductive reasoning and decision making skills
- Demonstrate strong math aptitude, attention to detail and sense of urgency
- Work independently as well as in a team environment
- Learn and perform multiple tasks in a fast paced 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)
- Possess 1 year of experience in a professional business environment
- Possess or are working towards a degree (major or minor) in Business Intelligence, Data Analytics, Data Science, MIS, Statistics, Economics, Mathematics, or in a related field of study
- Experience with analytical and statistical software packages and query languages such as SQL, Python, MS Fabric, PowerBI, SAS, SPSS, JMP or similar
Since 1967 Fastenal has grown as a distributor of industrial and construction supplies from a single branch to a Fortune 500 company with over 3,000 servicing locations, each providing tailored local inventory and personal service for our customers. As we've expanded across the world, we've retained a core belief in people and their ability to accomplish remarkable things - if given the opportunity. From this philosophy stems an entrepreneurial culture that challenges every employee to run their own business, create their own success, and advance to become company leaders.
As a growth company with a solid financial position, we are committed to training, promoting from within, and creating opportunities for our employees. If you have an entrepreneurial spirit and are looking to make your mark as part of an elite growth company, you won't find a better fit than Fastenal.
Part-time Benefit
Fastenal offers a 401(k) with an employer contribution.
Compensation
The pay range for this position is $16/hr -18/hr.
Salary : $16