We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<p>We are looking for an experienced Business Systems Analyst to support privacy-focused business and technology initiatives in Southern California. This Long-term Contract position will work closely with business leaders, compliance partners, and technical teams to define needs, improve processes, and shape practical solutions that align with regulatory expectations and organizational goals. The role requires strong analytical thinking, clear documentation, and the ability to guide discussions with both technical and non-technical stakeholders in an onsite environment four days per week.</p><p><br></p><p>Responsibilities:</p><p>• Partner with project leaders, business sponsors, and key stakeholders to define initiative goals, expected outcomes, and overall business scope.</p><p>• Examine complex operational challenges and convert findings into structured, scalable recommendations that support long-term business needs.</p><p>• Lead discovery sessions with senior stakeholders and subject matter experts to capture detailed business needs, process expectations, and user scenarios.</p><p>• Organize and facilitate workshops, interviews, and stakeholder meetings to gather requirements, clarify priorities, and build consensus across teams.</p><p>• Translate business needs into well-defined functional requirements and communicate them clearly to developers, architects, and delivery teams.</p><p>• Review current processes and systems to identify gaps, inefficiencies, risks, and opportunities for improvement, including privacy and compliance considerations.</p><p>• Produce and maintain core analysis artifacts such as requirements documents, process maps, workflow diagrams, mock-ups, and traceability records.</p><p>• Collaborate with cross-functional teams to support solution design, validate that outcomes meet business and regulatory expectations, and assist with audit readiness activities.</p><p>• Support planning and execution activities across the project lifecycle, ensuring requirements remain aligned through design, testing, and implementation.</p>
We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders.<br><br>Responsibilities:<br>• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.<br>• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.<br>• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.<br>• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.<br>• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.<br>• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.<br>• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
We are looking for a Financial Analyst to support distribution finance operations in Compton, California. This position will work closely with operations, supply chain, and leadership teams to deliver planning, performance analysis, and profitability insights that guide business decisions. The role is ideal for someone who can interpret complex financial data, build practical models, and identify opportunities to improve margins, cost efficiency, and operational performance.<br><br>Responsibilities:<br>• Drive the annual budget cycle and recurring forecast updates by incorporating distribution, warehousing, freight, and third-party logistics cost assumptions.<br>• Build and refine financial models that assess revenue performance, gross margin trends, and end-to-end distribution expenses.<br>• Review monthly results against plan, explain key variances, and recommend actions to address financial risks and capture improvement opportunities.<br>• Collaborate with warehouse, procurement, and logistics teams to evaluate labor, transportation, storage, and handling expenses.<br>• Measure operational and partner performance through key indicators such as inventory movement, fulfillment efficiency, and freight cost per unit.<br>• Analyze profitability across customers, product lines, and sales channels to support pricing decisions and margin improvement strategies.<br>• Prepare dashboards, management reports, and presentation materials that convert detailed financial information into clear business insights.<br>• Maintain allocation approaches and monthly schedules for intercompany profit distribution, ensuring documentation is complete and audit ready.<br>• Partner with accounting, tax, and operational leaders to support compliance, resolve financial allocation questions, and contribute to strategic projects as needed.
<p>Robert Half is in search for a Financial Analyst for local ongoing opportunities. The Financial Analyst, you will conduct financial modeling on various financial products as well as measure, analyze and forecast performance in conjunction with operating plans. Additional duties include advising management on the allocation of resources to best accomplish objectives and preparing reports for management. For Immediate consideration please apply today!</p><p>Financial Modeling:</p><p>· Develop and maintain financial models to analyze and forecast company performance</p><p>· Use spreadsheet tools to create projections, scenario analyses, and sensitivity analyses.</p><p>Budgeting and Forecasting:</p><p>· Collaborate with various departments to create and manage budgets.</p><p>· Prepare financial forecasts, identifying trends and potential areas of concern or opportunity.</p><p>Financial Reporting:</p><p>· Generate and analyze financial reports, including income statements, balance sheets, and cash flow statements.</p><p>· Communicate financial results and trends to management and stakeholders.</p><p>Variance Analysis:</p><p>· Conduct variance analysis to compare actual financial performance against budgets and forecasts.</p><p>· Identify and investigate discrepancies, providing explanations for variances.</p><p>Decision Support:</p><p>· Provide decision support by analyzing financial data and making recommendations for strategic and operational decisions.</p><p>· Assess the financial impact of potential investments, projects, or business initiatives.</p><p>Market and Industry Analysis:</p><p>· Monitor economic and industry trends that may impact the organization's financial performance.</p><p>· Conduct market research and competitor analysis to inform strategic decision-making.</p><p> </p><p><br></p>
We are looking for a Marketing Analyst to support access-focused analytics initiatives for a healthcare organization in Orange, California. This Long-term Contract position will partner with operational teams to evaluate appointment availability, interpret performance trends, and help improve scheduling effectiveness through data-driven recommendations. The ideal candidate brings strong experience in marketing and access analytics, along with the ability to translate complex findings into practical actions that support outpatient operations.<br><br>Responsibilities:<br>• Analyze appointment availability data and identify patterns, gaps, and opportunities to improve access across outpatient services.<br>• Work closely with clinic operations and provider scheduling teams to develop insights that support more effective calendar utilization and patient access.<br>• Review performance metrics and create reports that help stakeholders understand trends related to scheduling, demand, and operational efficiency.<br>• Apply analytical tools and marketing measurement platforms to assess outcomes, support decision-making, and track key performance indicators.<br>• Recommend workflow adjustments based on data findings to strengthen appointment availability and improve the overall access experience.<br>• Maintain and interpret data from analytics and CRM-related systems to support reporting accuracy and actionable business insight.<br>• Collaborate with cross-functional partners to align analysis with organizational goals and communicate findings in a clear, practical format.
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations.<br><br>Responsibilities:<br>• Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin.<br>• Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment.<br>• Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems.<br>• Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy.<br>• Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions.<br>• Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards.<br>• Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows.<br>• Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments.<br>• Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.