Data Analyst

TITLE: Data Analyst

REGION: San Rafael CA

LOCATION: Hybrid (on-site remote)

REPORTS TO: Sr. Director of Evaluation & Learning

STATUS: Full-time Exempt

OUR MISSION

10000 Degrees is unlocking student success at scale by giving more students equitable opportunities for a quality college education and career success. The most efficient and effective college success non-profit in the U.S. 10000 Degrees mission is to achieve educational equity and to support students from low-income backgrounds to and through college to realize their full potential and positively impact their communities and the world. We envision a world where all students regardless of race ethnicity or socioeconomic background will have the full range of educational opportunities support and resources to realize their potential. Accepting a role at 10000 Degrees implies a personal commitment to this mission.

OPPORTUNITY

The Data Analyst is a critical member of the Evaluation & Learning team primarily responsible for the management analysis interpretation and visualization of data to inform program strategy and measure organizational impact. This role works closely with the Data Coordinator Salesforce Systems Administrator and Data Training & Support Manager to translate raw program data into actionable insights for staff leadership and other stakeholders including monitoring for accurate complete and consistent data. This position requires a strong analytical background proficiency with data reporting toolsparticularly Salesforce and a passion for data-driven decision making.

COMPENSATION AND BENEFITS

• Excellent healthcare benefits including medical dental vision and life insurance; check out our full benefit options HERE
• 15 days paid vacation holidays and paid sick leave
• 401(k) with employer matching
• Professional development including conferences seminars webinars and directed career advice

PHYSICAL/ENVIRONMENTAL

To perform the essential functions of this position employees may be required to:

• Sit stand talk hear reach stoop kneel and use hands and fingers to operate a computer telephone and keyboard.
• Have close-vision ability due to computer work.
• Engage in moderate occasional lifting.
• Have a reliable means of transportation to attend regular work as well as other off-site business functions.

Note: Due to the nature and conditions of our work applicants must submit to fingerprinting and must pass a tuberculosis (TB) risk assessment and/or provide a clear tuberculosis (TB) test as part of the background check.

EEO

10000 Degrees is an equal opportunity employer offering a welcoming and inclusive environment in service to one another as well as the students families and communities we support. We recruit hire employ train promote and compensate individuals based on job-related qualifications and abilities.

TO APPLY

For immediate consideration please complete the application on the 10000 Degrees Careers page.

RESPONSIBILITIES

Data Analysis & Reporting

• Perform in-depth quantitative and qualitative analysis of program outcome and impact data to assess performance identify trends and generate actionable insights.
• Develop maintain and refine data analysis and reporting tools for use across programs and organizational departments.
• Generate custom reports and insightful dashboards using Salesforce and other data sources to address key organizational programmatic and evaluation questions.
• Translate complex findings into clear compelling visualizations infographics and presentations for internal and external audiences including funders and stakeholders.
• Collaborate with the Development and Marketing & Communications teams to provide accurate impact data for grant proposals reports and communications materials.
• Coordinate the dissemination of findings conclusions and recommendations from analyses to support continuous improvement learning and strategic decision-making across the organization.

Data Management Collaboration

• Work in partnership with the Salesforce Systems Administrator to ensure the database structure and configuration supports efficient and robust data analysis.
• Collaborate with the Data Coordinator to maintain data integrity and quality through routine audits validation of bulk uploads and resolution of data quality issues.
• Support the Data Training & Support Manager by identifying recurring data integrity issues and providing context on analytical needs to inform training resources and promote data-informed decision making among staff.

Evaluation Support

• Contribute to the design and maintenance of program performance management systems.
• Assist in the design and maintenance of data collection instruments such as applications surveys and assessments.
• Participate in program design planning and strategic planning processes.

General Duties

• Participate in regular professional development activities team meetings and supervisorial meetings.
• Support and represent 10000 Degrees at fundraising and appreciation events.
• Other duties as assigned.
• This position requires some in-person presence and/or travel within the regions served.

QUALIFICATIONS

• Bachelors degree or equivalent work experience; relevant fields such as public policy sociology or public administration preferred
• Proven background in research evaluations outcome measurement or statistical analysis
• Minimum of 1-3 years experience in quantitative and qualitative research methods and data analysis
• Extensive experience with CRM databases including reporting and dashboard development
• Specific experience with Salesforce strongly preferred; Salesforce certification a plus
• Proficiency with spreadsheets including Microsoft Excel (advanced skill preferred) and the ability to work with databases and statistical analysis packages
• Exceptional analytical ability with the skill to summarize complex information clearly and concisely to a diverse audience
• Excellent communication skills (verbal and written) and ability to tailor messaging to technical and non-technical audiences
• Strong organizational skills and excellent attention to detail especially when working with complex data sets
• Willingness to learn be self-reflective and work effectively as part of a collaborative team