Senior Data Analyst

Job DetailsLevel: ExperiencedJob Location: Corporate Facility - Minneapolis, KS 67467Position Type: Full TimeSalary Range: $72,000.00 - $96,000.00 Salary/yearJob Shift: 1st ShiftSr. Data Analyst
Compensation: Starting salary of $72,000 to $96,000  plus gainsharing bonuses.
Location: Minneapolis, KS or Sidney, NE office (dependent on candidate’s location)

Support data-driven decision-making and process automation in an aggressive entrepreneurial business.  Huyett, a fast-growing master distributor and manufacturer of industrial fasteners, has made a firm strategic commitment to embracing data analytics as a core competency.  This role will serve on a team that delivers user-friendly analytical tools and reports that enable managers to see trends and draw inferences from what is otherwise a complex business, encompassing tens of thousands of products, customers, and a wide array of market channels and end markets.  This role touches financial accounting, sales, marketing, manufacturing, supply chain, and nearly every other major operational area. Through time this role will continue to connect and network data analytics to the enterprise resource planning (ERP) platform.

Responsibilities:



Lead modeling and development to support operations initiatives, strategic programs, and new product solutions with complex mathematical modeling/tool development while working within an Agile framework.


Create compelling data visualizations that communicate complex insights to diverse audiences


Build interactive tools that allow stakeholders to drill down into data and explore different scenarios


Develop efficient data models and query optimization strategies for fast, reliable reporting


Build scalable BI solutions that can handle growing data volumes and user bases


Train business users on BI tools and best practices for data analysis and visualization


Document data sources, metrics definitions, and analytical methodologies for organizational knowledge


Continuous maintenance and management of database systems and security pursuant to policies, goals, and best practices


Development of data analytics tools, interfaces, and reports that are user-friendly, efficient in development, and documented for future users and analysts


Utilize Python or other approved languages for data analysis and visualization to support machine learning.


Effective project management of more complex tools designs, encompassing regular user-community input, management reporting, and resource deployment



We offer these benefits and more:



Triannual gainsharing bonuses on top of regular pay


401(k), with a generous employer match and a year-one full vestment


Full benefits, including free health insurance option for non-tobacco users


Generous paid-time-off policies, including paid holidays, bereavement, and parental leave


Comprehensive on-boarding training program


Great culture with supportive teammates


Supportive managerial feedback



Work Environment: Office setting with friendly, team-oriented staff. Candidates should anticipate a very fast-paced, productive environment.

EEOE: Huyett is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, age, disability, or genetic information.

To Learn More About Huyett:



See www.huyett.com to learn about the company’s products, services and commercial offerings.


See https://www.huyett.com/who-we-are to learn about company history, leadership, and management practices.


QualificationsThe ideal candidate possesses excellent research, data analysis, and communication skills with accuracy, attention to detail, and the ability to multi-task. Furthermore, the ideal candidate must be a team player and perform assigned tasks on time, within scope, and within budget.  Specific preferred technical focus areas and competencies include:



Proven experience developing and managing data pipelines


Experience in data modeling for ad-hoc visualization and analytical applications


Proficiency in Python, SQL, and DAX


Experience using SQL to analyze data in a database


Experience designing and developing user friendly business-facing dashboards and data visualizations in BI platforms preferred


Experience programming and aggregating data in Microsoft PowerBI utilizing DAX programming language desired