Data Analyst II - Business Analyst Focus

Education Analytics (EA) is hiring a Data Analyst II with a business analyst focus for an onsite role in Madison, WI
. In this position, you will connect partner and user needs to data, analytics, and technical solutions, helping turn questions into clear data definitions and analytic requirements. EA also supports long-term growth through meaningful work and a benefits package designed to support you and your family.

Salary: USD 72,000 - 84,000 per year.
Experience: at least 1 year
. Education: minimum bachelor’s degree or equivalent relevant experience.

• Partner closely with education partners, analysts, engineers, and other technical teams throughout the analytic process.
• Conduct partner discovery when project needs require it.
• Define and document analytic requirements and translate questions into data definitions.
• Map source data to reporting concepts and investigate data quality.
• Develop technical specifications and help plan how data should be combined, transformed, and interpreted for reporting and analytics.
• Mock up reports or dashboards to align stakeholders on what delivery should look like.
• Support projects from initial problem definition through delivery.

• Experience turning broad or ambiguous requests into clear questions, data definitions, analytic requirements, and technical specifications, with the ability to communicate with both technical and non-technical audiences.
• Experience working with complex data sources, evaluating data quality, and determining mapping, combining, transformation, and interpretation needs.
• Working proficiency in SQL
  , including writing, interpreting, and debugging complex queries in a cloud data warehouse environment such as Snowflake
  .
• Familiarity with education data standards such as Ed-Fi
  , or the ability to learn and apply complex education data standards, definitions, and reporting rules.
• Experience with BI, reporting, or data visualization tools, including the mockup phase.
  Apache Superset and Figma experience is preferred.
• Experience using a statistical programming language such as R or Python to investigate, process, or validate data.
• Experience using Git and Git Hub for version control and collaborative development.
• Comfort in an evolving technical environment, including adopting new tools such as AI-assisted technologies to improve the efficiency and quality of analytical work.
• Strong organization and time management skills to prioritize multiple responsibilities in a fast-paced setting with limited direction.

SQL
, Snowflake
, Ed-Fi
, Apache Superset
, Figma
, R,
Python
, Git
, Git Hub

• 401(k) contributions: a 12% non-elective contribution each payroll from EA once eligible per plan rules.
• 401(k) match: up to a 3% salary deferral match each payroll by EA once eligible and contributing, per plan rules.
• Paid time off:
  26.5 days of paid vacation annually (accrued  hours per month).
• Sick time:
  40 hours paid sick time on date of hire plus 8 hours that accrues monthly.
• Holidays: 9 paid holidays
  , including EA-designated holidays or the option to swap holidays.
• Insurance premium support: EA pays 85% of health insurance premiums and 50% of dental premiums.
• Paid parental leave: available after one year of employment if all other eligibility requirements are met.
• Disability coverage: Employer-Paid Short-Term Disability and Employer-Paid Long-Term Disability.
• Group life insurance: Employer-Paid Group Life Insurance with coverage equal to 2x your annual salary, up to $200,000
  .
• Employee Assistance Program (EAP): confidential support and resources available to you and your eligible family members.

• Minimum bachelor’s degree or equivalent relevant experience in Statistics, Economics, Computer Science, Mathematics, Data Science, Information Systems, Public Policy, Education, or a related field.
• At least one year of relevant professional experience, including progressively independent work with data, analytics, technical requirements, or data products.
• Familiarity with K–12 education data, state or district reporting, or education data standards is helpful but not required.