What's Happening?
Russell, Tobin & Associates is hiring a Predictive Data Analyst for a hybrid position in Los Angeles, CA. The role involves supporting stakeholders by defining data needs and ensuring that data science and advanced analytics projects align with business
objectives. The analyst will utilize statistical programming languages and tools for data manipulation, analysis, and visualization, including end-to-end predictive modeling. Responsibilities include managing data through querying, merging, quality control, and regular reporting. The analyst will also collaborate with IT and data engineering staff to develop data pipelines and maintain reports and dashboards. Additionally, the role requires serving as a Subject Matter Expert on cross-agency justice-involved datasets and managed care plan reporting.
Why It's Important?
The role of a Predictive Data Analyst is crucial in leveraging data to drive business decisions and improve program outcomes. By ensuring that data science projects meet business objectives, the analyst helps organizations make informed decisions that can lead to increased efficiency and effectiveness. The position also emphasizes the importance of collaboration between data analysts and IT staff, highlighting the need for integrated approaches to data management and analysis. This role is particularly significant in sectors that rely heavily on data-driven insights, such as healthcare and justice, where accurate data analysis can lead to better resource allocation and policy development.
What's Next?
The Predictive Data Analyst will engage in Agile/Scrum workflows, participating in daily stand-ups, backlog grooming, and sprint planning to deliver technical tasks. The role also involves consulting on the technical feasibility of project intakes and taking a lead role in Tableau dashboard development and API reporting. As the analyst becomes more integrated into the team, they will likely take on more complex projects and contribute to the strategic direction of data science initiatives within the organization.
