Data Management & Analytics Associate Faculty Pool

The Opportunity: Skagit Valley College is accepting applications for associate faculty interested in teaching Data Management & Analytics classes. This Associate Faculty position will primarily instruct students in the Data Management & Analytics program but there may also be opportunities to teach in closely related programs such as Business Management and Computer Science depending on the needs of those programs and the skillset of the instructor.

Associate Faculty are essential to developing and delivering curriculum tailored to each courses specific needs and that directly support program learning outcomes. The Data Management & Analytics program covers a wide range of topics from an Introduction to Data Science Project Management Data Analysis and Storytelling SQL Python and Business Intelligence using innovative techniques like project-based learning and community engagement. The program trains students for a wide variety of data analysis and business intelligence roles in many different sectors and it also prepares students to succeed in bachelors degree programs related to data analytics.

As an Associate Faculty member you will collaborate with department colleagues to create and implement innovative curriculum designed to prepare students with the skills needed to succeed as data analysts.

Currently the programs biggest need is for an Associate Faculty for courses focused on data visualization especially in Tableau or Power BI. The program has an immediate need for an instructor to teach Data Visualization and Storytelling in the Spring Quarter beginning in April 2026. The modality of the Data Management & Analytics courses is flexible. These courses have the potential to be online although the program prefers instructors who can teach hybrid courses that meet in person a couple of hours a week. Enrollment in the Data Management & Analysis program more than doubled this year so opportunities will likely be available to teach additional courses in future years.

• Data visualization especially in Tableau
• Business dashboards
• Visual communication and storytelling with data
• Fundamentals of data science
• Data preparation and cleaning
• Databases and integrations especially with SQL
• Coding for data analysis particularly in Python
• Project management and the data lifecycle
• Business intelligence and analysis
• Data privacy and ethics

• Equitable student outcomes in access achievement and community;
• Our Guiding Principles;
• Decisions based on strategy and evidence;
• The development of our employees;
• A diverse and inclusive college community where everyone belongs.

• An unrelenting focus on our mission to improve the lives of our students and to strengthen our diverse community.
• Support for innovative teaching learning and scholarship.
• Exciting opportunities for personal and career growth.
• Diverse cultural and environmental benefits of rural suburban and urban lifestyles.
• Friendly supportive and diverse work environments.
• Excellent benefits include competitive leave packages and an array of health dental vision and retirement plans to meet your current and future needs.

• Teach Effectively: Provide high-quality instruction in Data Management & Analytics courses across assigned modalities.
• Refine and Develop Curriculum: Design adapt and update curriculum to meet the needs of all learners and align with community and industry demands. Prepare course syllabi
• Engage Students: Create a positive engaging learning environment using high-impact student-centered teaching practices inside and outside the classroom.
• Assess Learning: evaluate student performance and document program outcomes in alignment with accreditation and college standards.
• Support Program Growth:Contribute to program development strategic planning and continuous improvement through outcome assessment.
• Serve the College Community:Participate in departmental and college-wide activities fulfilling faculty responsibilities consistent with college policies and agreements.

• Subject Expertise:Demonstrated knowledge and professional experience in data analytics and related disciplines such as business intelligence IT and management.
• Teaching Excellence: Strong communication and instructional skills with the ability to engage adult learners in data analytics courses.
• Inclusive Pedagogy:Commitment to fostering an equitable inclusive and culturally responsive learning environment through active student-centered teaching strategies. Ability to cultivate a growth mindset and shape a constructive learning environment where students grow through practice feedback and effort.
• Technology & Innovation:Embrace emerging technologies including generative artificial intelligence and integrate them meaningfully into curriculum and instruction to enhance student learning decision-making and workforce readiness.
• Collaboration & Professionalism: Demonstrated ability to work effectively with colleagues staff students and administrators upholding values of integrity respect and open communication.

Minimum Qualifications:

• Five (5) years of practical professional experience in data analytics or business intelligence; AND/OR a masters degree in Data Science Data Analytics or a closely related field (such as Informatics Business Administration or Computer Science);
• Experience using an industry-standard suite of data visualization tools: either Tableau (preferred) and/or Power BI;
• Experience with teaching or training in a classroom online or a professional setting or a professional set or a professional setting;
• Experience working with data preparation and with integrations into and out of databases including SQL;
• Experience providing instruction or training in a classroom online or professional setting.

• Two or more years of teaching experience ideally at a community college or other post-secondary institution;
• Eight or more years of industry experience in data analytics;
• Work history or a portfolio of work demonstrating proficiency in data visualization and visual communication;
• Strong skills in coding for data analytics.

Salary and Benefits:
The salary rate for part-time faculty is in accordance with the negotiated agreement and may be subject to change based on legislative order to be eligible for benefits state regulations must be met.

Rate of Pay:Faculty compensation units (FCU) are computed by total hours (lecture lab clinical) identified on the approved course outline for a given course divided by eleven (11). Associate faculty pay is computed by multiplying the faculty compensation unit rate by the number of faculty compensation units.

The current FCU rate for the 2025-2026 Academic Year at Step A is $1084.00(includes I-732 COLA of 3.0% for 2025-26).
Example of Associate Faculty pay (this is for illustrative purposes only):

• Course: DATA 100 55 lecture/discussion
• 55/11 5 FCUs
• A Step A faculty member would be paid 5 x FCU rate $1084.00 $5420.00
• Salary Enhancement for Data Management Analytics courses is $300 per FCU
  • 5 FCUs x $300.00 $1500.00
• Total compensation $5420.00 $1500.00 $6920.00

• Prior to employment a background check including criminal record history will be conducted. Information from the background check will not necessarily preclude employment but will be considered in determining the applicants suitability and competence to perform in the position.
  
  Additionally pursuant to RCW 28B.112.080 applicants must declare whether they are the subject of any substantiated findings of sexual misconduct in any current or former employment or are currently being investigated for or have left a position during an investigation into a violation of any sexual misconduct policy at the applicants current or past employer. By law post-secondary education institutions cannot hire an applicant who refuses to declare the existence or non-existence of an investigation or findings subject to this statute.

• In the interest of providing a healthy safe and secure educational and work environment and in order to meet the requirements of federal legislation it is the policy of Skagit Valley College to maintain an alcohol and drug-free workplace for our employees and students.
• If hired you will be required to provide proof of identity and documentation of U.S. Citizenship or appropriate authorization to work in this position as required by the Immigration Reform Control Act of 1986.
• Completion of academic degree(s) will be verified through receipt of official transcripts at the time of hire.

1. Meet the minimum qualifications and
2. Submit a complete application to the online recruitment system at that includes the following:
   • The online application which includes answers to all supplemental questions and contact information for at least three (3) professional references;
   • A current curriculum vitae; (Attachment: curriculum vitae);
   • A cover letter/letter of interest addressing the minimum and desired qualifications for the position. (Attachment: Cover Letter).