BUSINESS DATA ANALYST- CUSTOMER CARE FOCUSED

People Passion Purpose
Everything School Specialty offers is designed for one purpose – to help students succeed. We believe every student can flourish in an environment where they feel safe and inspired to explore and grow.

We’re determined to positively impact the future, one child at a time. We need to talk if you share our passion:

Transforming more than classrooms.®

Benefits

School Specialty offers Medical, Dental, & Vision plans (Effective Day 1), Wellness programs, Health Savings Accounts, Flexible Spending Accounts, 401 (k), PTO, Promise Hours dedicated to volunteering, Education Reimbursement, Paid Holidays, Fall & Winter Flexible Hours, Employee Discounts and much more!

The Business Data Analyst (focusing on Customer Care) is a critical member of School Specialty’s enterprise Analytics team. Business Data Analysts work closely with the other members of the Analytics team, and work cross-functionally with database and infrastructure professionals, program managers, data analysts, and, especially, end business users to research, develop, test, and deploy BI and Analytic solutions. The Customer Care-focused analyst will work closely with Customer Care associates and leadership to meet the needs of that fast-paced, critical department. The ideal candidate will be eager to learn, hungry for professional development, and feel most at home working in a less structured environment that demands creativity, adaptability, and self-motivation. To succeed in this role, you should have an analytical way of thinking and be able to explain difficult concepts to non-technical employees. Experience with a call center and/or customer care environment is a must!

Base salary range is $65-75,000. Ideal candidate would live in the eastern or central time zone. Occasional overnight travel for meetings in Greenville WI or Lombard IL will be required.

Essential Functions

• Assist in designing, writing, and testing analyses and reports in an enterprise data warehouse (EDW) environment using SQL
• Perform detailed requirements analysis and translate business needs into Analytics / technical requirements
• Assist in building extract, transform, and load (ETL) processes
• Help to develop business, statistical, and learning models to create predictive and prescriptive data elements within the enterprise data flow
• Build end-user reporting and dashboards using visualization tools such as Tableau, Power BI, and Excel
• Gather critical information from meetings with various stakeholders and produce useful reports
• Prioritize initiatives based on business needs and requirements
• Contribute in every stage of analytic projects (following industry standard methods, such as the Cross-Industry Standard Process for Data Mining (CRISP-DM) model)
• Evaluate business processes, anticipate requirements, uncover areas for improvement, and develop and implement solutions
• Lead ongoing reviews of business processes and develop optimization strategies

Minimum Required Qualifications

• Candidates must have experience with call center data or similar type data
• Bachelor’s degree in business intelligence, data analytics, statistics, informatics, or similar field, with relevant experience in business intelligence and analytics preferred, or
• Associate degree in related field, with a minimum of three years of relevant, progressive experience, or
• Five years of relevant, progressive experience
• Proficiency in SQL, reporting, and data visualization
• Experience interacting with all levels of management, including senior leadership
• Exceptional analytical and critical reasoning thinking skills
• Ability to influence stakeholders and work closely with them to determine acceptable solutions
• Excellent documentation skills

Preferred Knowledge and Skills

• Basic familiarity with the principles of ETL processes, relational databases, data warehousing, and dimensional modeling
• Experience with, or education in, Python, R, SAS, or other language (or application) typically used for statistical learning, modeling, and/or data munging
• Basic familiarity with current-generation data visualization tools and information design principles
• Experience with Oracle EDW and Snowflake, or equivalent, environments (preferred)
• Experience or familiarity with semi-structured data (beneficial)
• Ability to collaborate, high emotional intelligence, and a passion for serving our internal customers
• Familiarity with, and understanding of, business principles and functions

Disclaimers
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

• School Specialty, LLC. is a Drug Free Workplace. All applicants are subject to a drug screen and background check as a condition of employment.
• We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
• If you need a reasonable accommodation for any part of the employment process, please contact us by email at Opportunities@SchoolSpecialty.com and let us know the nature of your request and your contact information.

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