• Enter clinical trial data into EDC systems accurately and on time • Resolve queries and support database lock activities • Collaborate with clinical research staff to ensure data integrity

• Enter data into databases, spreadsheets, or software systems accurately • Verify and review data for errors or inconsistencies • Maintain confidentiality of sensitive information • Update existing records and ensure data integrity • Organize and maintain files (digital or physical) • Generate reports when required • Perform regular backups to ensure data safety • Coordinate with team members for data-related tasks

Role Description The Human Services Department (HSD) works to ensure Seattle communities thrive by meeting basic needs through innovative, collaborative approaches. Our mission is to connect people with resources and solutions so everyone can live, learn, work, and participate in strong, healthy communities. We center racial equity and social justice in all we do. HSD’s Data, Performance, and Evaluation (DPE) Team seeks a temporary Senior Data Analyst to support the City’s response to addressing homelessness. We’re looking for someone who can apply race and social justice principles to lead the department's: - Data: Lead cross-system data standards and improvements across homelessness systems—HMIS, GIS, the Navigation App—and maintain high-quality dashboards, automate key workflows, and ensure accurate, equitable, and transparent data for decision-making. - Performance: Ensure development of meaningful performance measures for shelter surge efforts and support staff and partners in using shared tools and standards, ensuring data reflects real service conditions. - Evaluation: Scope and deliver complex analyses using deep homelessness systems expertise and provide clear, actionable insights for leadership and City partners with documented, reproducible methods and responsible interpretation guidance. This position will report to the Data and Performance Manager and will work alongside other Senior Data Analysts and a range of other department personnel supporting homelessness efforts. This is an exciting opportunity for someone with versatile data analysis skills and who is passionate about supporting the City’s homelessness response to join our team! Qualifications - Requires three years of experience in systems, operations, procedures, research or analysis and a Bachelor's degree in business or public administration, finance, computer science or a related field (or a combination of education, training or experience that provides an equivalent background required to perform the work of the class). - OR: An equivalent combination of education and experience that demonstrates the ability to perform the position duties. - Desired Qualifications: - Experience in homelessness response processes and systems such as HMIS. - Navigating complex, matrixed systems by coordinating with internal and cross-department teams as well as external partners. - Using a range of data tools and technology (Power Automate, Power BI/Tableau, and Excel). - Applying Results-Based Accountability (RBA) frameworks. - Working with large datasets and ensuring data quality. - Connecting and maintaining data in business intelligence tools (e.g., Tableau, Power BI) in a production environment. - Creating clear documentation and supporting user training on data systems. Requirements - Deliver accurate, high-quality work with strong attention to detail. - Exercise critical thinking and creative problem-solving. - Center equity and ethical practice in all stages of work. - Communicate clearly with varied audiences and provide excellent customer service. - Build collaborative relationships and work effectively across teams. - Be flexible and willing to take on varied work. - Take ownership for keeping work moving forward, even when shifting between multiple projects. - Work with a sense of urgency to meet deadlines and respond promptly to changing priorities. Benefits - This temporary position is expected to end on 12/31/2026. - The full salary range for this position is $56.23 - $65.54 per hour. Hiring Process - Applications are reviewed after the posting closes. Qualified candidates must submit the following to be considered: - Completed NEOGOV online application. - Current résumé indicating relevant experience and education. - Cover letter describing how your skills and experience align with the stated job responsibilities and qualifications. - Supplemental questionnaire responses.

Role Description NearSource is looking for a Senior Data Analyst to drive data-informed decision-making across large-scale platform initiatives. This role involves working with cross-functional teams to analyze complex datasets, deliver actionable insights, and support strategic business outcomes for a Fortune 500 product company. - Collaborate with product managers and cross-functional teams to identify, define, and solve business problems using data-driven approaches. - Analyze large and complex datasets to extract actionable insights that influence product and business strategy. - Monitor and report on KPIs and OKRs, ensuring visibility into performance across platform initiatives. - Partner with product, engineering, and business stakeholders to understand data needs and deliver analytical solutions. - Design and deliver impactful dashboards and visualizations using Power BI, Looker, or similar tools. - Proactively identify trends and opportunities related to platform performance, user engagement, and business impact. - Develop advanced data models and apply statistical techniques to forecast trends and support decision-making. - Ensure data integrity through best practices in data validation, cleaning, and transformation. - Identify and resolve data discrepancies to maintain high-quality analytical outputs. Qualifications - Strong proficiency in SQL for data querying, transformation, and analysis. - Hands-on experience with data visualization tools such as Power BI and Looker. - Experience with data warehouse ELT tools, including Snowflake, Airflow, or dbt. - Proficiency in Python or R for data analysis and modeling. - Familiarity with cloud platforms such as AWS or Azure. - Solid understanding of statistical analysis and data modeling techniques. - Proven ability to analyze complex datasets and generate actionable insights. - Strong communication skills to present data insights to both technical and non-technical stakeholders. Requirements - Experience working in a SaaS environment or platform engineering organization. - Exposure to large-scale product analytics and user behavior analysis. - Familiarity with enterprise product ecosystems in the software industry. Certifications - Bachelor's degree in Data Science, Statistics, Mathematics, or a related quantitative field. - Master's degree in a quantitative field is an asset. Benefits - Apply now, or share your resume with salary expectations at careers@nearsource.ca. - Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. - If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. - While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.