Job Description:

RESPONSIBILITIES:

Kforce has a client in Madison, WI that is looking for a Data Analyst who will support our product, sales, leadership, and marketing teams with insights gained from analyzing company data.

Summary:
The ideal candidate is adept at using large data sets to answer questions and provide insight into the business. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, and building and implementing visual displays and dashboards. The Data Analyst should have a proven ability to be part of a data development team and offer database insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions


• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies


• Assess the effectiveness and accuracy of new data sources and data-gathering techniques


• Coordinate with different functional teams to analyze trends and identify changes in the business


• Develop dashboards to monitor outcomes


• Develop processes and tools to monitor and analyze data and data accuracy


• Work with a team to improve and develop data marts


• Update and maintain management reports


• Identify and design new reports


• Assist in the evaluation of tools to mine, analyze, and display data


• Review required data calls


• Assist with data requirements for annual submission

REQUIREMENTS:

• Bachelor's or advanced degree in Statistics, Mathematics, Computer Science, or another quantitative field; Familiar with the following: experience querying databases and using statistical computer languages: R, Python, SLQ, etc.


• 2-7 years of experience manipulating data sets and analyzing data outcomes


• Experience analyzing data from 3rd party providers: Google Analytics, US census data, and insurance-specific data providers


• Experience with different data tools such as mapping software, MySQL, PowerBi, etc.


• Experience visualizing/presenting data for stakeholders using PowerBI, Excel, mapping tools, PowerPoint, etc.


• A drive to learn and master new technologies and techniques


• Experience with Snowflake preferred


• Strong problem-solving skills


• Experience using data analytics tools such as R, Python, SLQ, etc., to manipulate data and draw insights from large data sets


• Experience working with and creating data architectures

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless
and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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