Business Intelligence Analyst

Walla Walla Community College Inc; Walla Walla (WA); Hybrid; USD 72,000 - 86,000; Full time

Job summary

Walla Walla Community College (WWCC) is seeking a full-time Business Intelligence Analyst at the Walla Walla campus to support institutional planning and data-driven decision making. The role focuses on data visualization (Power BI), strategic analysis, and data management, with collaboration across departments.

The position is grant-funded through Sept 30, 2029 and may transition to full institutional funding.

Qualifications

• Power BI proficiency and experience in data visualization
• Strong SQL querying skills and relational data manipulation
• Experience with R or Python for statistical analysis
• Bilingual in English and Spanish preferred

Responsibilities

• Create clear, accessible visualizations to support stakeholder decision making
• Perform strategic analysis, identify trends, and provide actionable recommendations
• Extract, clean, and validate data from multiple sources and ensure data quality
• Collaborate with departments and IT to support reporting and data governance

Skills

Power BI

SQL

R

Tableau

Education

Bachelor’s degree in Data Science, Statistics, Computer Science or related field

Master’s degree preferred

Tools

Tableau

Job description

Walla Walla Community College (WWCC) is seeking applicants for a full-time Business Intelligence Analyst position at the Walla Walla campus.

At Walla Walla Community College, we inspire all students to discover their potential and achieve their goals by providing relevant, equitable, and innovative learning opportunities and services. As an organization, we value learning opportunities, a sense of community, diversity, health and humor, excellence, integrity, teamwork, innovation, personal and professional growth, and sustainability.

In accordance with the AFT-WWPS Collective Bargaining Agreement, Article 15.5, qualified internal applicants will receive priority consideration beginning October 13, 2026. If no qualified internal applicant is selected, complete applications from external candidates received by October 26, 2026, at 11:59 p.m. PST will be reviewed and considered.

This position will remain open and accepting applications until filled.

General Description

The Business Intelligence Analyst (BIA) is a member of the Institutional Research and Effectiveness (IRE) team and plays a key role in supporting institutional planning, decision-making, and continuous improvement. The department supports the college’s mission and commitment to student learning and success by providing quality, accessible, reliable, and relevant information to stakeholders across the institution. Through data analysis, reporting, and research, the department informs decision-making and planning, enhances institutional effectiveness, and fosters a culture of evidence-based inquiry.

The position is 50% grant funded through Sept 30, 2029 and will be fully institutionalized and funded by the college by the close of the grant cycle.

Essential Functions

Data Visualization

• Generates clear, compelling, and accessible visualizations that enable users to explore data, identify trends, and draw meaningful conclusions using the department's primary visualization platform, Power BI. The department is completing a transition from Tableau to Power BI; familiarity with Power BI is essential, and Tableau experience is a plus.
• Adapts the visualization format based on the needs and comprehension levels of multiple audiences, from operational staff to executive leadership.

Strategic Analysis

• Interprets data, identifies meaningful trends and patterns, and develops recommendations for the Director of Institutional Research and Effectiveness and other stakeholders.
• Collaborates closely with multiple departments to identify opportunities for process improvement and reporting.
• Reports on institutional and grant key performance indicators.
• Produces and presents reports on student success (e.g., credit accumulation, retention, and completion), demographics, educational interventions, and other subjects as required. Reports may require the use of advanced statistical analysis and require comparison between cohorts based on specific variables.

Data Management

• Extracts, cleans, validates, and manages data from a variety of sources, systems, and formats.
• Queries data in a complex, multi-table database using SQL, R, and/or other languages.
• Assures data quality and integrity by implementing relevant validation techniques.

Technical Support and Collaboration

• Offers technical expertise and support to other departments as needed.
• Works closely with Technology Services and other data-related departments to achieve strategic objectives.

Miscellaneous

• Helps foster a culture of inquiry, improvement, and evidence-based decision-making.
• Represents the department on collegewide committees and/or project-based working groups, as appropriate.
• Other duties as assigned.

• Equitable Approaches: Demonstrates commitment to and understanding of diversity, equity, and inclusion, specifically through how data and research can shape and be shaped by such issues.

• Analytical Prowess: Demonstrates strong analytical and problem‑solving skills, with the ability to identify trends, uncover root causes, evaluate outcomes, and develop actionable recommendations. Applies appropriate quantitative and qualitative methods to support institutional planning, decision‑making, continuous improvement, and student success.

• Communication and Data Storytelling: Demonstrates outstanding written, verbal, and visual communication skills, including the ability to translate complex data and technical concepts for diverse audiences. Produces high‑quality analyses, reports, dashboards, presentations, and other deliverables that communicate findings clearly and effectively. Uses data storytelling techniques to convey insights, provide context, and support informed decision‑making.

• Project Management: Demonstrates the ability to plan, organize, prioritize, and manage multiple projects simultaneously. Establishes timelines, coordinates stakeholders, monitors progress, and ensures deliverables are completed accurately and on schedule.

• Technological Fluency: Demonstrates familiarity with data integration, cloud‑based data environments, data warehousing concepts, and business intelligence platforms.

• Adaptability: Demonstrates the ability to work independently and collaboratively in a dynamic environment with shifting priorities, evolving institutional needs, and competing deadlines. Remains flexible and responsive while maintaining accuracy, professionalism, and attention to detail.
• Responsible Use of Artificial Intelligence: Understands the responsible and ethical use of artificial intelligence, including generative AI tools, in research, analysis, and reporting. Applies appropriate professional judgment regarding suitable use cases, data privacy and governance, and the protection of sensitive and student‑level data. Maintains human review and validation of AI‑assisted outputs and demonstrates awareness of bias, accuracy, transparency, and reproducibility considerations.
• Interdisciplinary Collaboration: Demonstrates the ability to build effective working relationships across departments and functional areas. Collaborates with stakeholders to understand information needs, develop solutions, and advance institutional goals.

• Ethical Standards: Demonstrates ethics, integrity, and sound professional judgment. The department adheres to the ethical principles of the Association for Institutional Research (AIR).

Level of Supervision

Level 1 — General supervision — Advice and assistance is available as needed. Review of work may be frequent but generally not detailed. Emphasis placed upon quality of completed assignments.

• Performs recurring assignments without daily oversight following established guidelines, policies, procedures and work methods.
• Responsible for prioritizing day‑to‑day work tasks. Supervisor provides guidance and approves deviation from established guidelines, policies, procedures and work methods.
• Decision‑making is limited in context to the completion of work tasks. Completed work is consistent with established guidelines, policies, procedures and work methods. Supervisory guidance is provided in new or unusual situations.
• May develop procedures for performance of a variety of duties within the scope of the position.
• Performs complex duties within established guidelines.
• Work is periodically reviewed for compliance with guidelines, policies and procedures.

Level 2 — General direction — Position receives broad instruction. Advice and assistance is available upon request. Review of work generally emphasizes accomplishment of broader work unit goals and/or performance measures in lieu of specific work assignments.

• Independently performs all assignments using knowledge of established policies and work objectives with minimal direct oversight from supervisor.
• Plans and organizes work and assists in determining priorities and deadlines. May deviate from standard work methods, guidelines or procedures in order to meet work objectives.
• Exercises independent decision‑making authority and discretion and determines which work methods to use, tasks to perform and procedures to follow in order to meet work objectives.
• Completed work is reviewed for effectiveness in producing expected results.
• Establishes procedures for attaining specific goals and objectives in a broad area of work.

Required Qualifications

Any combination of education, experience, and/or training that provides the applicant with the knowledge and skills to perform the job may be considered by the college.

This position is designed to be filled at either a level 1 or 2 depending on qualifications.

• Level 1 Requirements:
  • Bachelor’s degree or equivalent professional experience in Data Science, Statistics, Computer Science, Sociology or related field; OR equivalent combination of education/experience.
  • Demonstrable intermediate to advanced expertise in data manipulation and visualization tools, particularly Power BI.
  • Intermediate to advanced proficiency querying relational databases, such as Oracle and MS SQL. Experience with ctcLink/PeopleSoft or a similar ERP system preferred.
  • Bilingual in English and Spanish preferred.
• Level 2 Requirements:
  • Bachelor’s degree from an accredited institution in Data Science, Statistics, Computer Science, Sociology or related field AND advanced expertise in data manipulation and visualization tools, particularly Power BI, and in a statistical programming language such as R or Python; OR an equivalent combination of education and experience. Master’s degree preferred.

• Advanced proficiency querying relational databases, such as Oracle and MS SQL. Experience with ctcLink/PeopleSoft or a similar ERP system preferred.
• Ability to use independent judgment with select authority for decision making.
• Exemplary professional experience in a data analysis role, preferably in an educational or research‑oriented setting.
• Bilingual in English and Spanish preferred.

This is a full‑time, possibly overtime eligible professional position. Persons hired must be able to provide acceptable documentation of lawful authorization to work in the United States within three (3) days of employment. WWCC participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S. Official college transcripts required at time of hire. Candidates may be subject to a criminal history background check as a condition of employment. Information from the background check may not necessarily preclude employment but will be considered in determining the applicant’s suitability and competence to perform in the position. The college is a tobacco free institution.

Work is performed in an indoor, multi‑level office setting; sitting at a desk or computer station, light lifting may be required. Exposure to hazards is limited to those commonly found in office environments. This contract position work schedule will typically be Monday through Friday 8‑hours each day. During the summer, work schedule is Monday through Thursday 10‑hours each day. Some travel may be required, and is typically local or regional for training.

The College’s preference is for regular, on‑site, and in‑office presence. However, a hybrid‑remote work arrangement may be considered for a highly qualified candidate. While the College gives preference to candidates residing in Oregon, Washington, or Idaho due to operational considerations, candidates from other locations may also be considered.

Any hybrid‑remote arrangement is contingent upon consistent, demonstrated engagement on Teams, Zoom, and email during regular business hours and may be modified or revoked at any time should it no longer meet the operational needs of the College. In‑person attendance is required for the first two days of onboarding and may be required for other key meetings, trainings, or events as determined by the College. All travel costs associated with required on‑site presence under a hybrid‑remote arrangement are the responsibility of the employee.

Compensation

Annual salary range for initial placement based on the represented exempt salary schedule is PR05, Step A‑F: $72,343 - $81,850 for Level 1, OR PR06, Step A‑F: $75,960 - $85,942 for Level 2, with scheduled salary increment increases every 12 months until you reach the top of the scale. The college has an excellent benefit program including paid sick leave; paid vacation leave; medical, dental, life, and long‑term disability insurance; retirement and two optional deferred compensation programs. All full‑time employees will automatically have 3% of taxable income deferred into the State of Washington Deferred Compensation Program (DCP). All administrative exempt staff set aside 1% of their gross salary in a Health Reimbursement Arrangement (HRA) (VEBA). All exempt employees are required to participate in this program. Walla Walla Community College requires all employees to participate in direct deposit for payment of salary.

This position is open until filled with priority consideration given to those applicants who submit a complete application by October 12, 2026 (for internal applications), and October 26, 2026 (for external applications), at 11:59 PM PST.