Data analyst jobs in Perris, CA

Entrepreneurial Opportunity with Schaeffer Manufacturing - 185 Years of Proven Performance If you're entrepreneurial, self-driven, and ready to run your own business, Schaeffer Manufacturing wants to meet you. We're a 185-year-old industry leader in premium lubricants, synthetic oils, greases, and cutting-edge fuel additives-and we're expanding across the Southwest. This is a unique 1099 opportunity to build a long-term book of business with one of the most respected names in industrial lubrication. ⭐ Why This Opportunity Stands Out This isn't just an outside sales role. This is your business, backed by a powerhouse brand with decades of repeat customers and unmatched product performance. What You Get 1099 Independent Contractor role - be your own boss Uncapped earning potential - your effort determines your income Protected territory to build and grow your customer base Premium, high-value product line with proven ROI for equipment-heavy industries Comprehensive training: online modules, live sessions, and hands-on field onboarding Full support team with responsive tech and sales assistance Who You'll Sell To Any operation that runs equipment and depends on uptime, including: Agriculture (farmers, ranchers) Trucking & fleet operations Construction & excavation Manufacturing & industrial plants Mining & forestry Municipalities and maintenance teams Racing and performance customers If it rolls, digs, hauls, cuts, lifts, or runs machinery, they need what Schaeffer offers. Who Thrives Here We're looking for entrepreneurial, business-minded individuals who want independence and long-term growth: Tradespeople, technicians, and equipment operators Former small business owners Experienced sales professionals seeking autonomy Highly self-motivated, disciplined, and accountable individuals Natural hunters who enjoy building new relationships and closing deals Compensation 100% commission with true uncapped upside Monthly and year-end performance bonuses The ability to build a recurring, long-term book of business Many top earners say their only regret is not joining Schaeffer sooner. Ready to Own Your Territory and Your Income? If you're ready to build your own industrial sales business with the full backing of Schaeffer Manufacturing, apply today. Let's build something big-together.

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)

🚀 We're Hiring: Senior Data Consultant - (Supply Chain Planning) Bristlecone, a Mahindra company, is a leading supply chain and business analytics advisor, rated by Gartner as one of the top ten system integrators in the supply chain space. We have been a trusted partner to global enterprises such as Applied Materials, Exxon Mobil, Flextronics, Nestle, Unilever, Whirlpool, and many others. 🔍 Project Overview: We are looking for a strong Data Consultant to support our planning projects. The ideal candidate will have a solid understanding of planning processes and data management within a supply chain or business planning environment. While deep configuration knowledge of SAP IBP is not mandatory, the consultant must have a strong grasp of planning data, business rules, and their impact on planning outcomes. This is a strategic initiative aimed at transforming planning processes across Raw Materials, Finished Goods, and Packaging materials. You'll be the go-to expert for managing end-to-end planning data across SAP IBP and ECC systems (SD, MM, PP). 🛠️ Key Responsibilities: Collaborate with planning teams to analyze, validate, and manage data relevant to planning processes. Demonstrate a clear understanding of basic planning functionalities and how data supports them. Identify, define, and manage data elements that impact demand, supply, and inventory planning. Understand and document business rules and prerequisites related to data maintenance and planning accuracy. Coordinate data collection activities from super users and end users across multiple functions. Support data readiness for project milestones including testing, validation, and go-live. Explain how different data elements influence planning outcomes to non-technical stakeholders. Work closely with functional and technical teams to ensure data integrity and consistency across systems. Required Skills & Qualifications: Strong understanding of planning processes (demand, supply, or S&OP). Proven experience working with planning master data (e.g., product, location, BOM, resources, etc.). Ability to analyze complex datasets and identify inconsistencies or dependencies. Excellent communication and coordination skills with cross-functional teams. Exposure to SAP IBP, APO, or other advanced planning tools (preferred but not mandatory). Strong business acumen with the ability to link data quality to planning outcomes. 5-10 years of relevant experience in data management, planning, or supply chain roles. Preferred Qualifications: Experience with large-scale planning transformation or ERP implementation projects. Knowledge of data governance and data quality frameworks. Experience in working with super users/end users for data validation and readiness. Privacy Notice Declarations for California based candidates/Jobs:: ********************************************************

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.

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

Job Title: Business Systems Analyst II Duration: 07 Months Contract As a BSA II, you will be supporting the administrator of the Planview platform we are implementing and working with the various stakeholders and PMOs across the enterprise to run, maintain and improve our Planview platform. This is a high visibility role across the enterprise working with a large group of users and stakeholders How you'll help move us forward: Administration of the Planview application day to day working in partnership and guidance from the Enterprise Platform Administrator and various Divisional PMO Administrators across the enterprise and their respective geographies Drive platform improvements for improved efficiency, reporting, and usability Identify technical issues and log appropriately Provides suggestions for process improvements that enhance user experience and efficiency for workflow. Acts as a strong business partner with our business and enterprise functions who use the tool in a variety of ways (demand management, project management, resource management) Creates and proactively and effectively communicates through written and verbal correspondence with internal users as applicable. Sets proper expectations with users and PMO leaders Supports other department needs in support of Planview assigned (e.g. demos, Level 1 but mostly level 2 system support, and not limited to trainings) The experience you bring: Typically, 3-5 years' experience, demonstrating the following: Deep understanding of project and portfolio management processes PPM tool implementation experience, ideally with Planview or another leading PPM tool PPM tool administration and support experience (in a leading or supporting role) ideally with Planview or another leading PPM tool Process information and data to set up projects, maintaining project baseline information, creating and filing accurate project control documentation, and working closely with the Program and Project Managers to keep projects healthy within all our key systems Work with Program and Project managers to establish and set up new projects in the PM system (Planview) Strong background in data analytics and technical specifications Ability to create reports and dashboards Support Program and Project Managers with training and system administration as requested Ability to work effectively in a team environment Experience developing and delivering End User training and documentation Ability to complete assignments in a high-volume, fast-paced environment, balancing accuracy, speed, and thoroughness. Clear verbal and written communication skills. Adapts to change quickly What makes you stand out: Recent Planview or other PPM tool or application Administration or implementation experience for a financial service company .

We are currently looking for a Commercial Pricing Analyst to come on-board for a Full-Time role with one of our Logistic Organizations in Cypress, CA. The Commercial Pricing Analyst will perform diverse analyses on cost optimization alternatives for the company's international logistics network. They will also be involved in providing pricing to the Sales team for international and domestic mail, publications, and parcel distribution solutions. The ideal candidate will have 1-5 years of relevant work experience, an expert with Excel, Power BI, and if you have logistics experience, that would be a major plus. Responsibilities: Develop routing schemes and quotes, working with Sales, Finance, Business Development, and other departments as necessary Work directly with all company departments, including sales, customer service, operations, dispatch, billing, A/P, export, and finance, to achieve routing and pricing objectives. Manage and maintain proprietary pricing, costing, and routing databases and tools Interpret data and conduct a technical analysis to determine financial performance and operational efficiency, and help drive business decisions Special assignments as requested by management Develop customized reports as requested Qualifications: Bachelor's degree in Logistics, Business, STEM or related field. Strong demonstrated analytical background and experience Advanced competency using MS Excel, SQL, Power BI, and other software to perform sensitivity analyses with available data. 1-5 years of relevant work experience. Knowledge of eCommerce parcel and mail distribution, international logistics or supply chain logistics is highly desirable Able to communicate clearly and courteously with various stakeholders to ask questions, accurately gather data and convey results. Ability to work well in diverse team environments. Please note: This position is not open to 3rd party c2c agencies. No visa sponsorship provided. All applicants must have permanent US work authorization and not require sponsorship now or in the future. Locals/ daily commuting distance only please; no remote or relocation.

Essential Job Functions: * Collect and analyze historical sales data and market trends to identify growth opportunities and support strategic planning. * Compile and interpret customer market data to inform pricing strategies and sales initiatives. * Perform qualitative and quantitative data mining to uncover insights and support business decisions. * Develop and monitor key performance indicators (KPIs), financial models, and metrics to evaluate business outcomes. * Prepare ad hoc reports to support product planning, forecasting, and customer insights. * Design and maintain dashboards and visualizations to communicate data findings to stakeholders. * Ensure data accuracy and integrity across reporting systems and databases. * Automate recurring reports and data processes to improve efficiency and reduce manual workload. * Collaborate with cross-functional teams including Sales, Finance, Legal, and IT to support data-driven initiatives. * Conduct root cause analysis for performance variances and recommend corrective actions. * Stay current with industry trends, tools, and best practices in data analytics and reporting. * Perform other duties and special projects as assigned. Responsibilities Essential Job Functions: · Collect and analyze historical sales data and market trends to identify growth opportunities and support strategic planning. · Compile and interpret customer market data to inform pricing strategies and sales initiatives. · Perform qualitative and quantitative data mining to uncover insights and support business decisions. · Develop and monitor key performance indicators (KPIs), financial models, and metrics to evaluate business outcomes. Prepare ad hoc reports to support product planning, forecasting, and customer insights. · Design and maintain dashboards and visualizations to communicate data findings to stakeholders. · Ensure data accuracy and integrity across reporting systems and databases. · Automate recurring reports and data processes to improve efficiency and reduce manual workload. · Collaborate with cross-functional teams including Sales, Finance, Legal, and IT to support data-driven initiatives. · Conduct root cause analysis for performance variances and recommend corrective actions. · Stay current with industry trends, tools, and best practices in data analytics and reporting. · Perform other duties and special projects as assigned. Minimum Qualifications: · Experience in Power BI is a must · Bilingual English/Japanese is a must Bachelor's degree in business administration or others preferred 3-5 years business and / or marketing analysis experience preferred Proficient in excel, power point or extensive experience in MS office suite, Quick Books, SAP Excellent written and verbal communication skills Strong and fast learner Technical knowledge a plus Numerical analysis and logical thinking skills Working knowledge and experience of data aggregation Strong acumen to accomplish tasks undependably All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

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

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.

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: Slotting Analyst- Supply Chain Job Type: Contract through 4/31/2026 with potential for extension or conversion We are looking for a skilled and analytical Slotting Analyst to join our inventory control focused supply chain team. The ideal candidate will have 3-5 years of experience in warehouse data analysis with a strong command of SQL and Excel. This role will play a critical part in turning complex data into actionable insights to drive decision-making for a major supply chain modernization initiative. Key Responsibilities: Warehouse Flow Analysis: Conduct on-site audits of warehouse pick paths and travel patterns. Map and document building layouts, including shelving levels and order picker zones. Evaluate how associates currently group work and navigate through locations. Slotting Optimization: Analyze inventory data to determine optimal product placement. Develop slotting strategies that reduce travel time and improve picking efficiency. Data Analysis & Reporting: Pull and manipulate data using SQL queries. Apply advanced Excel formulas to calculate and visualize slotting paths Prepare reports and recommendations for operational improvements. Collaboration: Partner with local operations teams to understand current processes and pain points. Communicate findings and proposed changes to stakeholders effectively. Qualifications: Bachelor's degree in Data Analytics, Supply Chain Management, Industrial Engineering, Computer Science, Statistics, or related field 3-5 years of experience minimum in a supply chain analyst role Intermediate to Advanced SQL skills, with experience querying and transforming large data sets Advanced Excel experience (including manual formulas) Inventory management experience Strong understanding of supply chain concepts and key performance indicators (KPIs) High attention to detail, data accuracy, and analytical thinking Excellent communication skills and the ability to present insights to both technical and non-technical audiences Preferred Qualifications: Experience with SAP Warehouse Management or EWM Experience with data warehouses (e.g., Snowflake) Background in Industrial Engineering or Lean Process Improvement Knowledge of warehouse slotting principles

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.

Job Title: Business Controller JD.COM is a Chinese e-commerce company headquartered in Beijing. With revenues more than US158.8 billion in 2024, JD.com is China's largest retailer by revenue, and ranks #44 on Fortune Global 500 list. JD Logistics, the logistics arm of JD.com, has announced plans to double its overseas warehouse space by the end of 2025 and that's just the beginning! *********************************************************************************************** We are seeking a Business Controller to join our growing team based in Irvine HQ or Fontana, CA. This role will be a crucial member of the Finance Business Partner Team to take the North America Business to the next level! Key Responsibilities: 1. Overseas Business Expansion and Cooperation: Participate in the entire process of overseas business expansion and partnerships, including contract negotiation and review, and identify and assess financial risks. 2. Cross-Departmental Communication and Resource Coordination: Facilitate cross-departmental communication and resource coordination among business, finance, tax, and legal teams to ensure the implementation of business processes. 3. Financial Consultation: Provide answers to basic financial queries from the business side. Collaborate with relevant parties to evaluate complex financial issues and deliver comprehensive financial solutions. 4. Operational Analysis and Support: Offer support for operational analysis, including the design of financial and tax processes. Follow up and communicate financial system requirements. 5. Risk Management and Cost Optimization: Proactively identify and manage risks based on current business conditions. Highlight issues in business development and propose strategies for cost reduction and efficiency improvement. Qualifications: 1. Education: Bachelor's degree or higher. Experience in the internet industry, particularly in international business, is preferred. 2. Language Skills: Proficiency in English and Fluency in Mandarin. 3. Technical Skills: Proficient in Excel and PowerPoint. Experience with SQL or other data processing tools is an advantage. 4. Soft Skills: Strong communication skills and a collaborative team spirit. High sense of responsibility and ability to work under pressure.

Supply Chain Intern When you're part of the team at Thermo Fisher Scientific, you'll do important work, like helping customers in finding cures for cancer, protecting the environment, or making sure our food is safe. Your work will have real-world impact, and you'll be supported in achieving your career goals. Our staff members are committed to making a difference in our organization, for our client partners, and the patients we serve. We seek individuals with proven competencies and strong character to help lead our organization now and into the future. Our interns receive professional mentorship and leadership development opportunities to support future career growth with us. Whether you're looking to come back as a repeat intern, transition into one of our Leadership Development Programs, or pursue a full-time position post-graduation, our team is here to support your next step! How will you make an impact? Our interns are matched to projects based on their abilities and current business needs. All projects will have significant strategic and/or operating importance to the business to which they are assigned. Summer projects may include the following responsibilities: Contribute to supply optimization projects, partnering with leadership to identify and implement improvements that enhance efficiency and resilience across the supply chain. Support demand forecasting enhancements by refining models, conducting data analyses, and identifying opportunities to improve forecast accuracy. Assist in supply chain master data refinement, ensuring data integrity and standardization to strengthen decision-making and reporting. Develop and refine supply chain KPI dashboards and metrics, providing actionable insights to measure performance and drive continuous improvement. Apply continuous improvement methodologies (i.e., PPI, Lean, Six Sigma) to identify inefficiencies and recommend process improvements. Collaborate with cross-functional teams-including planning, operations, procurement, and analytics-to align supply chain initiatives with business objectives. Start Date This internship is set to begin on either May 11th or June 15th, 2026, for a duration of 10-12 weeks - dependent upon student availability per academic calendars. Compensation & Relocation Our undergraduate Supply Chain internships offer an hourly rate between $21.50 - $28.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of $5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend. How will you get here? Undergraduate student pursuing a degree in Industrial Engineering, Supply Chain Management, Supply Chain Analytics, Business Analytics, or related fields, with expected graduation between December 2026 and June 2027. 0 years of work experience required; previous related internships preferred. Strong analytical skills with the ability to interpret data, generate insights, and recommend improvements. Consistent track record of results demonstrating integrity, innovation, involvement, and intensity. Energized through championing change, driven in getting results, and savvy in navigating ambiguity. Excellent interpersonal communication skills with a high degree of emotional intelligence. If this sounds like you, we'd love to hear from you! To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience. Compensation and Benefits The hourly pay range estimated for this position based in California is $14.75-$28.75. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: *****************************************************

The Informatics Analyst manages and organizes client's healthcare data using common industry standard technologies and solutions. They will work closely with Operations, Clinical, and IT leadership to analyze and interpret this data, playing a crucial role in researching and identifying trends and patterns that can inform clients' decision making and operations. They will develop an in-depth understanding of the underlying data and proper business uses to translate end-user data and information requirements into a format to aid various client teams in drawing insight from that data this includes creating queries, visualizations, algorithms, and reports. This role is responsible for collecting and integrating data from disparate sources, analyzing data to uncover trends and patterns, presenting information and suggesting improvements based on data analysis, understanding healthcare operations and systems, creating data models that capture a wide range of healthcare operations, and recommending ways to increase healthcare quality and reduce costs. This role reports to the Chief Information Officer (CIO) and will work closely with other executive leadership including Chief Medical Officer (CMO), Chief Operations Officer (COO), and other executive leadership. Job Description Develop and implement clinical decision support tools and analytics that assist leadership in making evidence-based decisions, producing clinical guidelines, and evolving best practices. Develop and implement analytical trending reports to uncover patterns and communicate that information to suggest improvements.Informatics Analyst Build data models that support analytical and decision support efforts by collecting and integrating data from disparate internal and external sources. Based upon data analysis, recommend ways to increase healthcare quality or reduce healthplan costs. Special Projects as assigned Minimum Qualifications Bachelor's degree preferred in Healthcare Informatics, Computer Science, Statistics, Mathematics, or a related field Must be able to work without a need for work sponsorship now or in the future. Healthcare analytics certifications such as Certified Health Data Analyst (CHDA) or Certified is a plus Professional in Healthcare Information and Management Systems (CPHIMS) or equivalent preferred 1-2+ years experience relational databases, and/or common Microsoft data analytics tools (i.e. PowerBI, SSRS,etc) to develop data visualizations and dashboards Cross-functional collaboration across multiple lines of businesses 1-2+ years experience with data analysis to analyze and provide data trend reporting to senior leaders Provide ad-hoc reports as needed Professional Competencies Proficient in Microsoft Suite (Excel, PowerPoint, Project, Outlook, Word, Visio, etc.) Experience with relational databases and common commercial analytics tools and other data visualization techniques Experience in SQL and/or T-SQL use for queries, stored procedures and functions. Knowledge of medical terminology, including ICD-10, CPT and HCPCS. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Ability to manage and prioritize multiple tasks, promote teamwork and fact-based decision making Critical listening, problem solving, and communication skills Ability to work independently and within a team environment Ability to work in a fast-paced, start-up culture with resiliency in a changing environment Supervisory Responsibilities. This job has no direct supervisory responsibilities but could be required to perform as a team leader and act as a backup for the teams manager as needed. Client cares deeply about the future, growth, and well-being of its employees. Apply today! Job Type: Full-time Benefits: 401(k) Paid time off (vacation, holiday, sick leave) Health insurance Dental InsuranceInformatics Analyst Vision insurance Life insurance Schedule: Full-time onsite (100% in-office) Hours of operations: 9am 6pm Standard business hours Monday to Friday/weekends as needed Occasional travel may be required for meetings and training sessions. Ability to commute/relocate: Reliably commute or planning to relocate before starting work (Required)

Description: Verda Health Plan of Texas has a contract with the Center of Medicaid and Medicare Services (CMS) and a state license with the Texas Department of Insurance for a Medicare Advantage Prescription Drug (MAPD) plan. We are committed to the idea that healthcare should be easily and equitably accessed by all. Our mission is to ensure that underserved communities have access to health and wellness services, and receive the support needed to live a healthy life that is free of worry and full of joy. We are looking for an Informatics Analyst to join our growing company with many internal opportunities. Are you ready to join a company that is changing the face of health care across the nation? Verda Healthcare health plan is looking for people like you who value excellence, integrity, caring and innovation. As an employee, you'll join a team dedicated to improving the lives of our Medicare members. Our vision incorporates value-based health care that works. We value diversity. Align your career goals with Verda Healthcare and we will support you all the way. Position Overview The Informatics Analyst manages and organizes Verda's healthcare data using common industry standard technologies and solutions. They will work closely with Operations, Clinical, and IT leadership to analyze and interpret this data, playing a crucial role in researching and identifying trends and patterns that can inform Verda decision making and operations. They will develop an in-depth understanding of the underlying data and proper business uses to translate end-user data and information requirements into a format to aid various Verda teams in drawing insight from that data. This includes creating queries, visualizations, algorithms, and reports. This role is responsible for collecting and integrating data from disparate sources, analyzing data to uncover trends and patterns, presenting information and suggesting improvements based on data analysis, understanding healthcare operations and systems, creating data models that capture a wide range of healthcare operations, and recommending ways to increase healthcare quality and reduce costs. This role reports to the Chief Information Officer (CIO) and will work closely with other executive leadership including Chief Medical Officer (CMO), Chief Operations Officer (COO), and other executive leadership. Job Description · Develop and implement clinical decision support tools and analytics that assist Verda leadership in making evidence-based decisions, producing clinical guidelines, and evolving best practices. · Develop and implement analytical trending reports to uncover patterns and communicate that information to suggest improvements. · Build data models that support analytical and decision support efforts by collecting and integrating data from disparate internal and external sources. · Based upon data analysis, recommend ways to increase healthcare quality or reduce health plan costs. · Special Projects as assigned. · Ability to travel Requirements: Minimum Qualifications · Bachelor's degree preferred in Healthcare Informatics, Computer Science, Statistics, Mathematics, or a related field Healthcare analytics certifications such as Certified Health Data Analyst (CHDA) or Certified Professional in Healthcare Information and Management Systems (CPHIMS) or equivalent preferred · 2-3+ years' experience relational databases, and/or common Microsoft data analytics tools (i.e. - PowerBI, SSRS,etc) to develop data visualizations and dashboards · Cross-functional collaboration across multiple lines of businesses · 2+ years' experience with data analysis to analyze and provide data trend reporting to senior leaders · Provide ad-hoc reports as needed Professional Competencies Proficient in Microsoft Suite (Excel, PowerPoint, Project, Outlook, Word, Visio, etc.) Experience with relational databases and common commercial analytics tools and other data visualization techniques Experience in SQL and/or T-SQL use for queries, stored procedures and functions. Knowledge of medical terminology, including ICD-10, CPT and HCPCS. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Ability to manage and prioritize multiple tasks, promote teamwork and fact-based decision making Critical listening, problem solving, and communication skills Ability to work independently and within a team environment Ability to work in a fast-paced, start-up culture with resiliency in a changing environment Supervisory Responsibilities. This job has no direct supervisory responsibilities but could be required to perform as a team leader and act as a backup for the team's manager as needed. Verda cares deeply about the future, growth, and well-being of its employees. Join our team today! Job Type: Full-time Benefits: 401(k) Paid time off (vacation, holiday, sick leave) Health insurance Dental Insurance Vision insurance Life insurance Schedule: Full-time onsite (100% in-office) Hours of operations: 9am - 6pm Standard business hours Monday to Friday/weekends as needed Occasional travel may be required for meetings and training sessions. Ability to commute/relocate: Reliably commute or planning to relocate before starting work (Required) PHYSICAL DEMANDS Regularly sit/walk at a workstation in an office or cubicle setting. Must occasionally lift and/or move up to 25-50 pounds. * Other duties may be assigned in support of departmental goals.

Location: On-site preferred (near Ontario, CA) Duration: 3-6 months (flexible, minimum 20 hours/week) Compensation: $18/hour Eligibility: Junior/Senior undergraduate or graduate student in business analytics, statistics, economics, or related fields Key Responsibilities: Analyze sales, advertising (Amazon DSP/Sponsored Ads), and shipping/returns data Identify performance trends, channel insights, and margin opportunities Prepare dashboards and reports for decision-making Collaborate with cross-functional teams to turn insights into business actions Support pricing, inventory, and logistics optimizations What You'll Gain: Mentorship in applied analytics, operations, and e-commerce Real-world exposure to Amazon, Wayfair, Walmart, and DTC analytics environments Opportunity to propose and test your own hypotheses with measurable business impact 🎁 Additional Perks & Benefits Flexible schedule to accommodate classes and exams Opportunities to attend industry expos or customer site visits Letter of recommendation upon completion Mentorship from experienced professionals in marketing, e-commerce, and analytics For outstanding interns: priority consideration for full-time role H-1B sponsorship available 📝 Application Process Please submit: Resume Short paragraph on why you're interested Optional: Portfolio, past project, or campaign report (for marketing positions)

Job Description Compensation: Compensation rate of $20.00 per hour. Exact compensation may vary based on skills, experience, and location. Employment classification: Temporary, 6-8 week assignment Schedule: Monday through Friday, 8am-5pm Summary: The temporary Business Analyst Intern supports day-to-day analytics operations including light dashboard maintenance, data exports/imports, and reporting tasks. You'll work closely with data team members to ensure the quality, accessibility, and usability of data for business users. This internship offers exposure to practical analytics workflows with opportunities for learning and growth. Key Areas of Impact: Clinic Performance Monitoring - Help track visit volumes, wait times, provider efficiency, and throughput. Employer Reporting - Assist in generating clear, timely reports for employer clients on injury trends, return-to-work status, and case resolution. Injury & Case Management Metrics - Support analysis of injury types, lost workdays, and referral patterns. Revenue & Billing Support - Assist in pulling data for payer mix, service line utilization, and billing cycle trends. Operational Efficiency - Contribute to identifying bottlenecks or missed documentation in patient workflows. Responsibilities: Monitor and Maintain Analytics - Monitor and perform light maintenance of dashboards to ensure accuracy and functionality (Zoho Analytics). Manage Data Transfers - Assist in routine data exports and imports between systems and formats (Excel, CSV, databases, analytics tools) as well as collaborate to build and maintain ETL data pipelines from enterprise systems. Create/Validate Reports - Help clean, transform, and prepare data for analysis and reporting. Stakeholder Support - Support business users by responding to basic data/reporting requests. Maintain Documentation - Maintain proper documentation of data workflows and update logs. Collaborate with Data Team - Collaborate with the analytics team to improve automation and reporting efficiency. Perform other job-related duties as assigned. Success in this Role - the ideal candidate will demonstrate success through: Maintaining Data Accuracy - Contributing to the achievement of high accuracy rates in data management, ensuring correct and up-to-date records. Supporting Process Improvements - Assisting in the development of innovative solutions for improving credentialing and contracting processes. Fostering Collaboration - Building strong, collaborative relationships with internal teams, providers, and external stakeholders to support smooth operations. Reporting & Insights - Creating clear, actionable reports that provide valuable insights to stakeholders for informed decision-making. Requirements: Experience using Excel is required, including the use of formulas, pivot tables, and charts Experience handling data files including uploading, exporting, formatting, and validating datasets in multiple formats Exceptional attention to detail Strong analytical and problem-solving abilities Excellent written and verbal communication Advanced organizational skills Ability to manage multiple priorities Team-oriented with strong interpersonal skills Experience in Zoho Analytics is preferred; creating or maintaining reports/dashboards is a plus Experience with building ETL data pipelines, experience in using Python and SQL preferred Basic familiarity with data platforms or databases is preferred Prior experience in a related internship preferred Why You Should Join Our Team Agile Occupational Medicine is a leading occupational medicine group with a network of 43 clinics and one surgery center dedicated to providing comprehensive healthcare services to businesses and their employees across California and Yuma, Arizona. We specialize in ensuring the health and well-being of workers through a range of medical services, including injury care (workers' compensation), physical examinations (employer services), and commercial (urgent care) We are a rapidly growing company with a fun and collaborative work environment. We are passionate about disrupting the world of occupational medicine, and we are committed to providing our customers and patients with the best possible experience. We offer our employees competitive salaries, commission, and benefits, and we give them the opportunity to make a real impact on the business. Agile Occupational Medicine is an Equal Opportunity Employer. Agile does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided upon qualifications, merit, and business need.