Data analyst jobs in Palos Verdes Estates, CA

XP3R is a fast-growing data and technology consulting firm that helps organizations unlock the power of data, analytics, AI, and technology to make smarter & faster decisions. We partner with clients to turn complex data into actionable insights that drive better decisions and measurable results, and encapsulate data & insights into custom-tooling for interactivity and visibility. What makes us different is how we work; we combine structure with curiosity, and strategy with execution. We move fast and focus on value-adding outcomes, and we don't back down from any challenge. Our team is made up of builders, problem-solvers, and lifelong learners who love the challenge of transforming ambiguity into clarity. At XP3R, you'll have the freedom to experiment, the support to grow, and the opportunity to make an impact that's visible from day one. We're a small, ambitious team, and every hire has a direct impact on how we grow. The Role We are looking for a Senior Data Analyst + Engineer who thrives at the intersection of business strategy and technical execution. This is not a “back-office dashboard role”, you'll be engaging directly with clients, advising on business strategy, and then building the technical solutions that bring it to life. This role requires a deep fundamental understanding of data, data modeling, and data architecture. You will be expected to design & build with Microsoft Fabric and Power BI and to both consult and deliver. You'll lead the full lifecycle: data sourcing, modeling, pipelines, dashboards, and business alignment. What You'll Do Partner with clients to understand business needs and translate them into technical solutions. Design and implement data models by combining data + business knowledge that align with client requirements and scale effectively. Lead data sourcing and requirements gathering, including working with APIs, exploratory analysis, and integrating disparate data systems. Build and maintain Fabric ETL pipelines (Dataflow Gen2, PySpark notebooks, data pipelines). Develop and optimize Power BI dashboards, including advanced DAX, calculation groups, and data visualization best practices. Create dashboard mockups and prototypes to guide client conversations before implementation. Design & stand up systems to enforce data validations and QA/QC in Microsoft Fabric. Collaborate with leadership to define solution architecture - and ideally, take the lead on designing architecture yourself. Serve as a trusted advisor to clients, bridging technical expertise with business insights. Mentor junior team members and raise the standard of technical excellence across XP3R. What We're Looking For At XP3R, we look for people who blend technical mastery with strategic insight. You're someone who can move seamlessly between data modeling and client conversations, transforming complex challenges into clear, scalable solutions. We value leaders who stay curious, think critically, and take ownership of outcomes from concept to delivery. The right person will combine technical depth with business presence: Technically Excellent - You are rooted in the technical, and have a knack for being able to figure things out to drive implementation and delivery of work product. You're experience allows you to build high quality product fast; exposure to SQL, Python, R, Power BI, or similar tools is required. Owns the Work - You take initiative, explore solutions, and learn new tools without waiting for direction. You take ownership of work & hold yourself accountable for delivery. Entrepreneurial by Nature - You're motivated by challenge and want to help build something meaningful, not just maintain it. Quick to Learn - You adapt fast, connect ideas quickly, and enjoy turning new knowledge into action. You excel at switching between different contexts & tasks and pick up skills as you go. Collaborative & Reliable - You elevate the people around you through communication, structure, and a sense of shared purpose Salary Range: $100,000 - $220,000 (DOE)

Robert Half Technology is partnering with a leading financial services organization to hire a Business Insight Analyst who will drive data-backed decision-making across lending, operations, and marketing. This is an exciting opportunity for a data-driven professional who thrives in fast-paced, highly regulated industries and enjoys transforming complex datasets into clear strategic insights. If you excel in SQL, BI tools, forecasting, and cross-functional analytics, this role offers tremendous visibility and impact. Responsibilities Analyze lending pipeline data, financial performance, customer behavior, and operational metrics to support strategic and revenue-driven initiatives. Build and maintain Power BI/Tableau dashboards that track KPIs across lending, marketing, customer experience, and servicing functions. Partner with leadership to uncover inefficiencies, identify revenue opportunities, and support continuous process improvement. Monitor and interpret market trends-including interest rate fluctuations, borrower patterns, and prepayment risk. Assist with regulatory and compliance reporting while ensuring accuracy, data integrity, and audit readiness. Develop predictive models and scenario analyses related to delinquency, risk, customer behavior, and financial trends. Present insights through clear reports, visualizations, and executive-level presentations. Required Qualifications Bachelor's degree in Finance, Economics, Data Science, Statistics, Business, or related field. 2-4 years in analytics, business intelligence, or financial data analysis (mortgage, banking, or financial services preferred). Strong SQL experience across relational databases (MS SQL Server, Snowflake, etc.). Hands-on experience with Power BI or Tableau for dashboards and data visualization. Strong analytical reasoning and the ability to turn data into action. Excellent communication skills for technical and non-technical audiences. Knowledge of the mortgage lifecycle (origination, underwriting, servicing) and industry regulations. Preferred Qualifications Experience with Python or R for statistical modeling and automation. Familiarity with LOS platforms such as Encompass or Quantum Reverse. Understanding of regulatory frameworks (HMDA, TRID, FCRA). Awareness of secondary market standards (Fannie Mae, Freddie Mac, Ginnie Mae). Work Modality & Compensation Hybrid - Irvine, CA Full-time Salary: $115K-$135K Comprehensive benefits available through Robert Half Technology If you are passionate about leveraging data to drive strategy within a dynamic financial environment, we want to hear from you! Apply today through Robert Half Technology and take the next step in your analytics career.

The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. 5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. 3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. 2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. 1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education: This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.

AVID Technical Resources is seeking an Analyst to support our client's database project. Must be located in or near Pomona, CA or Monmouth, OR. Required Skills: Data retrieval and automation Oracle Database knowledge SQL and data modeling experience PowerBI, PowerAutomate, PowerApps, MS Suite Azure / AWS is a bonus! Excellent written and oral communication skills

One of our best clients in Irvine, CA is looking to hire a Salesforce Business Analyst that has previous experience testing and implementing Salesforce applications. You will be part of the Salesforce project team responsible for delivering new and enhanced Salesforce applications across our client's organization. Candidates must have excellent communication skills and have hands on background with manual testing. detailed description of the position is listed below. This is a contract position that requires onsite work three days a week. NO H1Bs Position Responsibilities: Lead software test projects and report status to management. Provide task durations for software test activities to project management for incorporation into project schedules. Drive efficiencies to improve process and technical implementations. Track testing activities and assigned work for each release and help resolve issues that are escalated with the Project and/or release team. Coordinate projects and requirements across separate technical and functional teams to ensure effective delivery of solutions. Participate in Release Testing, generates release notes and Post Test Reviews as scheduled. Assist in the preparation of test plans and test approaches. Ensure the proper execution of software test plans and test approaches. Analyze requirements during the requirements analysis phase of projects. Keep track of the new changes to requirements Track and report testing activities, defects discovered and their status, etc. for each release. Assist in performing any applicable maintenance to tools used in testing and resolve issues if any. Log all related issues in the defect tracking tool identified for the project. Excellent time management and communication skills Operate with a customer-focused attitude Required Education, Skills and Experience: Bachelor's degree in Computer Science or related technical discipline. 5 to 7 years of experience as a Salesforce Analyst Candidates must have previous experience with Salesforce applications Must have experience with Salesforce module Sales Cloud Excellent oral communication skills for interfacing with peers in other departments. Candidates must be able to pass a pre-employment drug screen and background check.

Trident Consulting is seeking a "Vendor Invoice Analyst" for one of our clients in “Pomona, CA - Hybrid" A global leader in business and technology services. Role: Vendor Invoice Analyst Duration: Contract Rate: $28-33/Hr Day-to-Day Responsibilities/Workload Become a POC (point of contact) for our VM vendors, process invoices for their assigned vendors, track rejections, work with internal and external stakeholders to ensure our invoicing procedures are followed. Lead meetings with internal and external partners, utilize work management system datasets to analyze trends and validate invoices. Ensure timely and accurate processing of invoices, maintaining adherence to established schedules and contractual obligations. Demonstrate a high attention to detail Apply advanced analytical and data interpretation skills to monitor, assess, and reconcile invoices Serve as the primary point of contact for assigned vendors, facilitating clear communication and the prompt resolution and follow up Collaborate effectively with internal teams to optimize workflows and support compliance with invoice processes Identify and recommend opportunities for process improvements to enhance the efficiency and effectiveness of the Vegetation Management Required Skills/Attributes Proficiency with work management and financial systems (e.g., SAP, Ariba or similar platforms) Strong organizational and time management abilities Excellent written and verbal communication skills Ability to prioritize tasks and manage multiple deadlines efficiently Proactive problem-solving and critical thinking skills Experience in vendor management and relationship building Strong Excel and data analysis skills (e.g., pivot tables, VLOOKUP, data validation) Ability to work independently and as part of a team in a fast-paced environment About Trident: Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include: Trailblazer Women Award 2025 by Consulate General of India in San Francisco. Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe. Received the TechServe Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America. Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022.

Sr. Imaging Applications Analyst Salary Range: $130k to $150k The Imaging Applications Analyst, Senior is responsible for the design, implementation, validation, and support of multiple imaging applications (RIS, Radiology PACS, Cardiology PACS, Voice Dictation, Advanced Post Processing, RadOnc EMR, EKG/EEG, GI)and related ancillary systems. The Imaging Applications Analyst ensures the design, configuration, integration, and user experience of these imaging applications, meets business and clinical objectives. The Imaging Applications Analyst consults with organizational clinicians, staff, and vendors of the imaging applications and is responsible for the configuration, testing, problem identification, issue resolution, and on-going support of the assigned applications including new implementations and upgrades. Accountabilities: Troubleshoot, configure, validate, upgrade, and support enterprise-wide clinical imaging applications. Provide off-hour on-call support for issues and apply expertise and independent judgment for full resolution. Work on assigned projects both independently and as part of a team. Lead/Assist large-scale development and implementation projects. complex, inter-departmental projects and operational initiatives Design and lead implementations, upgrades, and solution conversions in support of Keck clinical imaging applications Assist in ensuring stability and functionality of the assigned applications. Provide escalation support, troubleshooting and root-cause analysis of issues Assist in identifying and trouble-shooting application issues, including isolating problems, recommending appropriate solutions and implementing solutions. Work closely with all IS teams to maintain Clinical Imaging Applications that are compliant with organizational standards and policies. Regularly meet with users, vendors, IT staff to develop/modify system specifications and are responsible for the timely resolution or escalation of problems within the imaging application environment. Work on assigned projects both independently and as part of a team and apply expertise and independent judgment for full resolution. Responsible for support/testing of HL7 integration between Cerner EMR and all Imaging applications ensuring data integrity of integrated solutions. Maintain expertise in Imaging Systems functionality and site/system workflows working directly with clinicians and staff to understand clinical workflows and reported issues Coaches and mentors less experienced team members Provide after-hours and weekend support where necessary for a 24x7 system availability model. Minimum Education Bachelor's degree in Computer Science, Healthcare Science, Financials, Business or related field required. In lieu of a bachelor's degree, additional 4 years of experience are required. Minimum Experience Minimum 5 years of experience with design, configuration, maintenance, troubleshooting, upgrading, testing, and supporting clinical imaging applications (i.e., Cerner RadNet, FujiPACS/CV, PowerScribe 360, Varian Aria, Natus Xltek, Provation) or the equivalent combination of experience and education that would demonstrate the capability to successfully perform the essential functions of this position. Working level knowledge of DICOM, HL7 and IHE. Working level knowledge of Imaging Modalities (XR, US, MRI, CT, Nuclear, Mammo, EKG). Extensive experience in managing, implementing, and supporting a diverse range of Cardiology IT applications and systems, including Fuji Synapse Cardiovascular PACS, GE/Merge Hemo, Epiphany ECG management, and Cerner RadNet / RIS. Skilled in custom template building, focusing on creating standardized, efficient, and clinically relevant templates that streamline reporting and data capture. Comprehensive knowledge of DICOM imaging protocols and standards, including image acquisition, archiving, retrieval, and seamless integration with Fuji CV PACS and Cerner EHR. Possesses a foundational clinical background in cardiology, enabling a deep understanding of cardiac workflows, diagnostic procedures, and data requirements for IT system development and optimization. This is a senior position with the expectation of mentoring other team members and leading through projects independently. A strong team-oriented attitude is critical. Local resource preferred (on-site for the first six months then hybrid schedule).

Required Skills & Qualifications Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery Deep understanding of data modeling for analytics (dimensional & semantic layer design) Hands-on expertise with ETL/ELT patterns and orchestration Strong knowledge of data governance, metadata management, security models, and IAM for data platforms Experience with BI tools (preferably Looker or equivalent enterprise-grade platforms) Awareness of AI/ML techniques for insight automation, anomaly/outlier detection Strong understanding of DevOps concepts for data: CI/CD, code-based delivery, versioning Proficiency in cloud-based data analytics platforms (GCP experience highly advantageous; BigQuery familiarity a plus) Excellent stakeholder management, business communication, and requirement discovery skills Ability to operate in an onsite-offshore model, driving clarity and collaboration

JSG is seeking a Senior Data Solutions Architect for a client in Woodland Hills, CA. This position is remote, and our client is looking for local candidates based in Southern California.The Senior Data Solutions Engineer will design, scale, and optimize the company's enterprise data platform. This role will build and maintain cloud-native data pipelines, lakehouse/warehouse architectures, and multi-system integrations that support Finance, CRM, Operations, Marketing, and guest experience analytics. The engineer will focus on building secure, scalable, and cost-efficient systems while applying modern DevOps, ETL, and cloud engineering practices requiring a strong technologist with hands-on expertise across data pipelines, orchestration, governance, and cloud infrastructure. Key Responsibilities Design, build, and maintain ELT/ETL pipelines across Snowflake, Databricks, Microsoft Fabric Gen 2, Azure Synapse Analytics, and legacy SQL/Oracle platforms. Implement medallion/lakehouse architecture, CDC pipelines, and streaming ingestion frameworks. Leverage Python (90%) and SQL (10%) for data processing, orchestration, and automation. Manage AWS and Azure multi-account environments, enforcing MFA, IAM policies, and governance. Build serverless architectures (AWS Lambda, Azure Functions, EventBridge, SQS, Step Functions) for event-driven data flows. Integrate infrastructure with CI/CD pipelines (GitHub Actions, Azure DevOps, MWAA/Airflow, dbt) for automated testing and deployments. Deploy infrastructure as code using Terraform and Azure DevOps for reproducible, version-controlled environments. Implement observability and monitoring frameworks (Datadog, Prometheus, Grafana, Kibana, Azure Monitor) to ensure system reliability, performance, and cost efficiency. Collaborate with stakeholders to deliver secure, scalable, and cost-efficient data solutions. Background in Finance a or Consumer facing industries is preferred Salary: $160K-$175K JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

City: Calabasas, CA/ Las Vegas, NV Onsite/ Hybrid/ Remote: Onsite 4 days a week Duration: 6 months Contract to Hire Rate Range: $85/hr W2 Work Authorization: GC, USC Only Must Have: Databricks Python Azure API development ETL pipelines DevOps and CI/CD Responsibilities: Design and build scalable batch and real-time data pipelines. Develop data ingestion, processing, and analytical workflows. Build data products and intelligent APIs. Ensure data quality, reliability, and performance. Collaborate with cross-functional teams to translate business needs into data solutions. Support cloud-based data architecture for BI and AI/ML use cases. Participate in code reviews and CI/CD practices. Qualifications: Bachelor's degree in a related technical field required. 8+ years of data engineering experience. Strong experience with Databricks, Spark, and cloud platforms. Proficiency in Python and SQL. Hands-on experience with Azure data services. Experience with REST APIs and DevOps practices. Agile development experience.

STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Our global solutions team is seeking an Azure & Microsoft Fabric Data Engineer/Architect to support and lead our Media & Entertainment client to build a next-generation financial data platform. We're looking for someone who can contribute both strategically and will have the hands-on skill to provide subject matter expertise. In this role, you'll design and build enterprise-level data models, lead data migration efforts into Azure, and develop cutting-edge data processing pipelines using Microsoft Fabric. If you thrive at the intersection of architecture and hands-on engineering, and want to help shape a modern financial system with complex upstream data processing - this is the opportunity for you! This project will required the person to work onsite the Burbank / Studio City adjacent location 3 days / week. We are setting up interviews immediately and look forward to hearing from you! This is a hybrid position requiring 3-4 days per week onsite. Responsibilities Architect, design, and hands-on develop end-to-end data solutions using Azure Data Services and Microsoft Fabric. Build and maintain complex data models in Azure SQL, Lakehouse, and Fabric environments that support advanced financial calculations. Lead and execute data migration efforts from multiple upstream and legacy systems into Azure and Fabric. Develop, optimize, and maintain ETL/ELT pipelines using Microsoft Fabric Data Pipelines, Data Factory, and Azure engineering tools. Perform hands-on SQL development, including stored procedures, query optimization, performance tuning, and data transformation logic. Partner with finance, engineering, and product stakeholders to translate requirements into scalable, maintainable data solutions. Ensure data quality, lineage, profiling, and governance across ingestion and transformation layers. Tune and optimize Azure SQL databases and Fabric Lakehouse environments for performance and cost efficiency. Troubleshoot data processing and pipeline issues to maintain stability and reliability. Document architecture, data flows, engineering standards, and best practices. Qualifications Expert, hands-on experience with Azure Data Services (Azure SQL, Data Factory, Data Lake Storage, Synapse, Azure Storage). Deep working knowledge of Microsoft Fabric, including Data Engineering workloads, Lakehouse, Fabric SQL, Pipelines, and governance. Strong experience designing and building data models within Azure SQL and Fabric architectures. Proven track record delivering large-scale data migrations into Azure environments. Advanced proficiency in SQL/T-SQL, including stored procedures, indexing, and performance tuning. Demonstrated success building and optimizing ETL/ELT pipelines for complex financial or multi-source datasets. Understanding of financial systems, data structures, and complex calculation logic. Excellent communication and documentation skills with the ability to collaborate across technical and business teams. Additional Details The base range for this contract position is $70-85/per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. Additional Details The base range for this contract position is $70-85/per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ************** and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.

Sr. Data Engineer Full Time Direct Hire Job Hybrid with work location-Irvine, CA. The Senior Data Engineer will help design and build a modern data platform that supports enterprise analytics, integrations, and AI/ML initiatives. This role focuses on developing scalable data pipelines, modernizing the enterprise data warehouse, and enabling self-service analytics across the organization. Key Responsibilities • Build and maintain scalable data pipelines using Snowflake, dbt, and Fivetran. • Design and optimize enterprise data models for performance and scalability. • Support data cataloging, lineage, quality, and compliance efforts. • Translate business and analytics requirements into reliable data solutions. • Use AWS (primarily S3) for storage, integration, and platform reliability. • Perform other data engineering tasks as needed. Required Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. • 5+ years of data engineering experience. • Hands-on expertise with Snowflake, dbt, and Fivetran. • Strong background in data warehousing, dimensional modeling, and SQL. • Experience with AWS (S3) and data governance tools such as Alation or Atlan. • Proficiency in Python for scripting and automation. • Experience with streaming technologies (Kafka, Kinesis, Flink) a plus. • Knowledge of data security and compliance best practices. • Exposure to AI/ML workflows and modern BI tools like Power BI, Tableau, or Looker. • Ability to mentor junior engineers. Skills • Snowflake • dbt • Fivetran • Data modeling and warehousing • AWS • Data governance • SQL • Python • Strong communication and cross-functional collaboration • Interest in emerging data and AI technologies

We are seeking a Data Analytics Engineer to join our team who serves as a hybrid Database Administrator, Data Engineer, and Data Analyst, responsible for managing core data infrastructure, developing and maintaining ETL pipelines, and delivering high-quality analytics and visual insights to executive stakeholders. This role bridges technical execution with business intelligence, ensuring that data across Salesforce, financial, and operational systems is accurate, accessible, and strategically presented. Essential Functions Database Administration: Oversee and maintain database servers, ensuring performance, reliability, and security. Manage user access, backups, and data recovery processes while optimizing queries and database operations. Data Engineering (ELT): Design, build, and maintain robust ELT pipelines (SQL/DBT or equivalent) to extract, transform, and load data across Salesforce, financial, and operational sources. Ensure data lineage, integrity, and governance throughout all workflows. Data Modeling & Governance: Design scalable data models and maintain a governed semantic layer and KPI catalog aligned with business objectives. Define data quality checks, SLAs, and lineage standards to reconcile analytics with finance source-of-truth systems. Analytics & Reporting: Develop and manage executive-facing Tableau dashboards and visualizations covering key lending and operational metrics - including pipeline conversion, production, credit quality, delinquency/charge-offs, DSCR, and LTV distributions. Presentation & Insights: Translate complex datasets into clear, compelling stories and presentations for leadership and cross-functional teams. Communicate findings through visual reports and executive summaries to drive strategic decisions. Collaboration & Integration: Partner with Finance, Capital Markets, and Operations to refine KPIs and perform ad-hoc analyses. Collaborate with Engineering to align analytical and operational data, manage integrations, and support system scalability. Enablement & Training: Conduct training sessions, create documentation, and host data office hours to promote data literacy and empower business users across the organization. Competencies & Skills Advanced SQL proficiency with strong data modeling, query optimization, and database administration experience (PostgreSQL, MySQL, or equivalent). Hands-on experience managing and maintaining database servers and optimizing performance. Proficiency with ETL/ELT frameworks (DBT, Airflow, or similar) and cloud data stacks (AWS/Azure/GCP). Strong Tableau skills - parameters, LODs, row-level security, executive-level dashboard design, and storytelling through data. Experience with Salesforce data structures and ingestion methods. Proven ability to communicate and present technical data insights to executive and non-technical stakeholders. Solid understanding of lending/financial analytics (pipeline conversion, delinquency, DSCR, LTV). Working knowledge of Python for analytics tasks, cohort analysis, and variance reporting. Familiarity with version control (Git), CI/CD for analytics, and data governance frameworks. Excellent organizational, documentation, and communication skills with a strong sense of ownership and follow-through. Education & Experience Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field. 3+ years of experience in data analytics, data engineering, or database administration roles. Experience supporting executive-level reporting and maintaining database infrastructure in a fast-paced environment.

Job Title: Data Engineer Duration: Direct-Hire Opportunity We are looking for a Data Engineer who is hands-on, collaborative, and experienced with Microsoft SQL Server, Snowflake, AWS RDS, and MySQL. The ideal candidate has a strong background in data warehousing, data lakes, ETL pipelines, and business intelligence tools. This role plays a key part in executing data strategy - driving optimization, reliability, and scalable BI capabilities across the organization. It's an excellent opportunity for a data professional who wants to influence architectural direction, contribute technical expertise, and grow within a data-driven company focused on innovation. Key Responsibilities Design, develop, and maintain SQL Server and Snowflake data warehouses and data lakes, focusing on performance, governance, and security. Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS. Build and enhance ETL pipelines using tools such as Snowpipe, DBT, Boomi, SSIS, and Azure Data Factory. Utilize data tools such as SSMS, Profiler, Query Store, and Redgate for performance tuning and troubleshooting. Perform database administration tasks, including backup, restore, and monitoring. Collaborate with Business Intelligence Developers and Business Analysts on enterprise data projects. Ensure database integrity, compliance, and adherence to best practices in data security. Configure and manage data integration and BI tools such as Power BI, Tableau, Power Automate, and scripting languages (Python, R). Qualifications Proficiency with Microsoft SQL Server, including advanced T-SQL development and optimization. 7+ years working as a SQL Server Developer/Administrator, with experience in relational and object-oriented databases. 2+ years of experience with Snowflake data warehouse and data lake solutions. Experience developing pipelines and reporting solutions using Power BI, SSRS, SSIS, Azure Data Factory, or DBT. Scripting and automation experience using Python, PowerShell, or R. Familiarity with data integration and analytics tools such as Boomi, Redshift, or Databricks (a plus). Excellent communication, problem-solving, and organizational skills. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Technical Skills SQL Server / Snowflake / MySQL / AWS RDS ETL Development (Snowpipe, SSIS, Azure Data Factory, DBT) BI Tools (Power BI, Tableau) Python, R, PowerShell Data Governance & Security Best Practices Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Sherman Oaks, CA Careismatic Brands outfits our community of care through our portfolio of market-leading brands that meet the diverse needs of healthcare professionals worldwide. We are one piece of a larger community of those who are and are cared for. Whether it's medical professionals or the patients they serve, we are inspired by those who wear our uniforms every day. The Senior FP&A Analyst will assist with CBI's financial strategy to achieve long-term objectives within Careismatic Brands. Reporting directly to the Director of Financial Planning & Analysis, this role plays a pivotal part in driving financial performance through analysis, forecasting, and strategic planning to support the organization's mission and strategic goals. As a key contributor of the team, the senior analyst contributes to CBI's mission to improve the lives of everyday people doing extraordinary things by delivering high-quality support aligned with the company's values and transformation initiatives. This is a full-time role based in our corporate office in Sherman Oaks, CA. Salary Range: $95,000 -$125,000 DOE Physical Demands & Work Environment The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions for this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. Hybrid work schedule in office What Your Day Looks Like Assist in the development of the company's budgeting and forecasting processes, aligning financial goals with the company's strategic objectives. Ensure accuracy and timeliness of inputs to help align forecasts with company's goals. Prepare detailed financial analyses, including variance analysis and cost benefit analysis, while highlighting key trends and drivers for management review. Collaborate with senior leadership by gathering data, building models and providing preliminary insights for Director of FP&A. Maintain and update financial dashboards and KPIs. Monitor performance and flag variances for further investigation. Work closely with cross-functional teams to track and manage costs. Provide insights into cost optimization and efficiency improvements as the company scales. Prepare financial reports for executive leadership and the board of directors. Ensure accurate and timely financial reporting, in compliance with GAAP or other relevant standards. Support capital investment decisions by analyzing potential returns, risks, and impacts on the company's financial health. Assist in evaluating funding needs and strategies. Partner with other departments to ensure financial alignment across the company. Provide financial support for key projects, including product launches and market expansion. What We're Looking For At least 5 years of experience in financial planning and analysis Bachelor's degree in Finance, Accounting, Economics or related field Strong financial modeling skills and proficiency in financial software (Adaptive/Workday, Analplan, Board.com). Experience with data analysis tools and business intelligence platforms is a plus. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Strong verbal and written communication skills, with the ability to effectively present financial information to non-financial stakeholders. High level of accuracy and attention to detail in all aspects of work. What's In It For You 401(k) Dental insurance Employee discount Flexible spending account Health insurance Life insurance Attractive Paid time off Vision insurance At Careismatic Brands, we believe in the power of care. It's the force that drives and inspires us, inside our company and out in the world. It's why we strive to maintain a diverse and inclusive organization - an ever-evolving imperative - where everyone feels respected, valued, and empowered to bring their ideas and perspectives forward. Careismatic embraces the differences that make our organization unique. We are strengthened by diversity in all its forms - including but not limited to race, religion, ethnicity, age, national origin, gender identity, and sexual orientation.

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

(BCE) Benedict Canyon Equities is a private real estate investment firm with a 20-year history of delivering superior risk-adjusted returns. We specialize in acquiring and operating strategically located value-add and workforce housing properties in high-growth markets. Focused on private investors, BCE generates consistent income by implementing capital improvements, adding ancillary revenue streams, and streamlining operational inefficiencies-enhancing long-term value and increasing current cash flow. Since 2004, BCE has completed more than $57 billion in real estate transactions. Position Overview We're seeking a Transaction Analyst to join our Century City team. Reporting to the Senior Director of Transactions, this role supports all aspects of multifamily property acquisitions, refinances, and dispositions. You'll collaborate with internal departments and external partners to ensure efficient execution from underwriting through closing. This is a 5-day in-office position based in Century City. Remote or hybrid work arrangements are not available. Key Responsibilities Support all stages of the acquisition, refinance, and disposition process for multifamily assets. Conduct property-level due diligence and review financials, leases, and reports for accuracy. Prepare financial analyses, lender forms, and transaction summaries. Coordinate with brokers, lenders, attorneys, and internal teams to ensure timely closings. Identify and recommend process improvements to increase efficiency and accuracy. Qualifications Bachelor's degree in Finance, Economics, or a related field. 2+ years of experience in real estate finance, investment analysis, or transactions (multifamily preferred). Strong analytical and Excel skills; familiarity with financial modeling a plus. Excellent written and verbal communication skills. Ability to manage multiple priorities in a fast-paced, collaborative environment. Compensation and Benefits Benedict Canyon Equities offers a competitive base salary of $70K-$85K, performance-based bonus, and a comprehensive benefits package that includes: Retirement plan with company match Medical, dental, and vision coverage Flexible Spending Accounts (FSA) Long-Term Disability insurance Accidental Death & Dismemberment coverage Additional voluntary benefits and wellness programs Equal Opportunity Employer Benedict Canyon Equities is an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, or any other protected characteristic. All employment decisions are based on qualifications, merit, and business needs.

City: Glendale, CA Onsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote) Duration: 12 months Rate Range: Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • 5+ years Data Engineering • Airflow • Spark DataFrame API • Databricks • SQL • API integration • AWS • Python or Java or Scala Responsibilities: • Maintain, update, and expand Core Data platform pipelines. • Build tools for data discovery, lineage, governance, and privacy. • Partner with engineering and cross-functional teams to deliver scalable solutions. • Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows. • Support platform standards, best practices, and documentation. • Ensure data quality, reliability, and SLA adherence across datasets. • Participate in Agile ceremonies and continuous process improvement. • Work with internal customers to understand needs and prioritize enhancements. • Maintain detailed documentation that supports governance and quality. Qualifications: • 5+ years in data engineering with large-scale pipelines. • Strong SQL and one major programming language (Python, Java, or Scala). • Production experience with Spark and Databricks. • Experience ingesting and interacting with API data sources. • Hands-on Airflow orchestration experience. • Experience developing APIs with GraphQL. • Strong AWS knowledge and infrastructure-as-code familiarity. • Understanding of OLTP vs OLAP, data modeling, and data warehousing. • Strong problem-solving and algorithmic skills. • Clear written and verbal communication. • Agile/Scrum experience. • Bachelor's degree in a STEM field or equivalent industry experience.

We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions. Responsibilities: Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data. Design and enhance data warehouse models (star/snowflake schemas) and BI datasets. Optimize data workflows for performance, scalability, and reliability. Collaborate with BI teams to support dashboards, reporting, and analytics needs. Ensure data quality, governance, and documentation across all solutions. Qualifications: Proven experience with data engineering tools (SQL, Python, ETL frameworks). Strong understanding of BI concepts, reporting tools, and dimensional modeling. Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus. Excellent problem-solving skills and ability to work in a cross-functional environment.