Data analyst jobs in Upland, CA

About Us Sunderstorm is a premier cannabis company that owns and operates the award-winning edibles brand Kanha. Based in California, the Company has over 200 employees with operations in Massachusetts, Illinois, Nevada, and Thailand. Sunderstorm is a leader in nano-tech fast acting edibles, has recently launched a line of vape products, and distributes for third party brands in California. Serving over 1000 retails clients, Sunderstorm and its flagship Kanha gummies are a national cannabis success. Work with Us - KANHA is excited to welcome talented builders, doers and thinkers to join our team! If you're ready to take the next step in your career, we encourage you to apply and prepare yourself to embark on a new blissful journey with KANHA! So what does KANHA offer YOU? Comprehensive benefits package, including health insurance, voluntary coverage and a retirement savings plan option Paid Time-Off (vacation pay, sick pay, holiday pay) On-the-job training to foster your growth and success. Company events, catered lunches, team building activities and more! Employee Assistance Program (EAP) A culture founded on inclusivity and respect, where each team member's contributions are acknowledged and celebrated. **Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.** Job Description Sunderstorm is leading the technology charge in cannabis, one of the most exciting and challenging industries today. We are expanding both domestically and internationally, and data-driven insights are critical to our growth. We are seeking a Data Analyst to join our team, reporting to the Data Science Manager, to help drive e-commerce sales and support both our marketing and product teams with actionable analytics. As a Data Analyst, you'll partner with marketing, product, and e-commerce to turn data into decisions. You'll own SQL analysis and Tableau dashboards, ensure consistent metrics and clean data, and uncover insights that improve conversion and customer experience. You'll evaluate performance across channels, run campaign analyses, and deliver clear, actionable recommendations that guide business strategy. Statistical testing and experiment design experience is a plus. This role is ideal for someone who loves turning data into action. You will not only surface insights but also make clear recommendations that shape marketing campaigns, optimize spend, improve ROI, and support product decisions. You'll help Sunderstorm's digital marketing, e-commerce, and product efforts thrive in a fast-paced, innovative environment. Duties and Responsibilities: Be a strategic thought partner to stakeholders across product, marketing, e‑commerce, and leadership; framing questions, shaping hypotheses, and translating insights into decisions. Build and maintain core BI assets (dashboards, data models, scheduled reports); apply Tableau best practices and create executive-ready presentations that turn analysis into clear, actionable recommendations. Perform ad‑hoc SQL analysis across key data sources (e.g., Shopify data, CRM, ads/web analytics) to answer high‑impact questions quickly and accurately. Analyze marketing and e-commerce performance across channels (Meta, Google, email, social, paid media, SEO) and provide actionable recommendations to optimize spend and improve results. Train and monitor pretrained AI agents on internal datasets to improve accuracy, reduce hallucinations, and ensure model outputs align with business needs. Monitor and interpret sales trends and customer behavior, identifying opportunities to increase revenue, improve conversion, and enhance engagement. Support the Product Manager by maintaining reports, transforming data from multiple sources, building visualizations, and conducting ad-hoc market analyses that inform product strategy. Collaborate with the Analytics Engineer to maintain analytics‑ready pipelines, consistent metric definitions, and strong data quality through validation and reconciliation. Lead pre- and post-campaign analyses across paid, owned, and on-site experiences to highlight performance drivers and recommend optimizations. Assist with data cleaning, validation, and mapping efforts to maintain data quality and ensure consistency across reporting systems. Stay current with modern analytics tools, techniques, and industry trends; evaluate and pilot improvements that increase speed, accuracy, and insight quality. Collaborate with ERP specialists to ensure primary data sources are accurate, integrated, and aligned with analytics and reporting requirements. Strong descriptive analytics skills with the ability to interpret trends and patterns; familiarity with statistical analysis, experimentation, and advanced hypothesis testing is a plus. Skills and Qualifications: 2+ years in a data analyst or business analyst role Bachelor's degree required; Master's in analytics, business analytics, Data Science, Engineering or related field preferred 2+ years analyzing marketing and e-commerce performance, including A/B testing and conversion optimization Strong skills with reporting and analytics tools (e.g., SQL, Excel, Tableau, Google Analytics, GA4) Experience with digital marketing platforms (e.g., HubSpot, Shopify, ad platforms) and marketing attribution concepts Cannabis, CPG, or regulated industry experience a plus Here at Sunderstorm Inc we offer medical, dental, vision insurance and retirement benefits. Come be a part of our growing organization and its opportunities for your career development! You will learn and develop alongside a team of professionals who aim to excel in the cannabis industry. Apply now! Sunderstorm Inc is an Equal Employment Opportunity Employer and we welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status or genetics. We are dedicated to providing an inclusive, open, and diverse work environment.

About the Company Step into a high-impact Assistant Data Analyst role supporting a fast-growing consumer products business. You will work with data from more than 30 international markets and multiple business models, transforming complex datasets into strategic insights that leaders rely on. If you enjoy solving challenging problems, building powerful reports, and influencing decisions with data, this role gives you a chance to make your work visible at a global level. About the Role You will sit at the intersection of data, operations, and strategy-partnering with regional teams and senior stakeholders to ensure data is accurate, timely, and meaningful. This opportunity is ideal for someone who enjoys both the technical and business sides of analytics and expand experience working within international environment. Responsibilities Support and help oversee the collection and processing of data from 30+ countries, ensuring accuracy, consistency, and on-time delivery across all international channels. Conduct comprehensive analysis on global sales and inventory data to develop recommendations for inventory optimization and improved business performance. Collaborate with data analytics teams and regional stakeholders to ensure required data is captured within agreed timelines and defined standards. Facilitate seamless data flow between systems and business users, enhancing accessibility, usability, and reliability of datasets. Act as a liaison between the central data organization and various regional and business partners, clearly communicating data requirements, expectations, and deliverables. Leverage advanced Excel functionality, including Power Pivot and data models, to build reports, dashboards, and analytical tools. Independently manage projects of moderate complexity and provide business-focused support on larger, cross-functional data initiatives. Prepare and deliver regular reports, insights, and strategic recommendations to senior leadership and other key stakeholders. Ensure data quality controls are followed and contribute to continuous improvement of international data management processes. Qualifications Bachelor's degree in Business Analytics, International Business, Data Analytics, or a closely related field. MBA or a Master's degree in Analytics or a related discipline preferred. 4-6 years of experience in data analysis and data management within a global or multi-region business environment. Prior experience working with international data sources and stakeholders across varied business models. Demonstrated track record of using data to support strategic business decision-making. Required Skills Advanced experience working with data models and complex data structures, particularly in large, multi-country environments. Programming experience with Python for data processing, automation, and analysis tasks. Comfortable working with large, complex datasets drawn from multiple business models and international sources. Strong analytical capabilities with advanced proficiency in Power BI, Power Pivot, and Microsoft Excel. Solid understanding of data management concepts and how they support broader business objectives. Proven ability to interpret data and convert findings into clear, actionable business recommendations. Effective project management skills, including planning, prioritizing, and executing moderately complex data projects. Knowledge of international business structures (joint ventures, subsidiaries, distributors) and their differing data requirements. Excellent written and verbal communication skills, including the ability to present complex analytical insights to non-technical stakeholders. Ability to thrive in a dynamic, global environment and manage competing priorities. Willingness to accommodate meetings and calls across multiple time zones as needed. Preferred Skills Advanced Microsoft Excel, including Power Pivot, data models, pivot tables, advanced formulas, and complex spreadsheet design. Power BI (or similar BI tools) for building dashboards, visualizations, KPIs, and self-service reporting solutions. Python for data manipulation, automation scripts, and analytical workflows. Experience working with large data extracts from ERP, CRM, or data warehouse systems. Strong proficiency with standard office productivity tools (Outlook, PowerPoint, Word) to support communication and presentation of analytics. Pay range and compensation package Pay Rate: $35-$40 per hour Note: Must be ok to work onsite Monday through Friday 40hrs/ a week. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

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:: ********************************************************

Title: Principal Data Scientist Duration: 12 Months Contract Additional Information California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m. Job description: 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. Experience Required: Five (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. Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. Two (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). Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. One (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 Required & certifications: 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. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: T Saketh Ram Sharma Email: ***************************** Internal Id: 25-54101

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

A client of Sharp Decisions if looking for a Business Analyst. This role is ONSITE in Torrance, CA- a multi-year contract with no end date, W2 only. Daily Task Performed: - Analyzes business partners operations to understand their strengths and weaknesses to determine opportunities to automate processes and functions - Assists in the business process redesign and documentation as needed for new technology - Translates high level business requirements into functional specifications for the IT organization and manages changes to such specifications - Negotiates agreements and commitments by facilitating communication between business unit(s) and IT from initial requirements to final implementation - Works with business partners within one business function to align technology solutions with business strategies Position Success Criteria (Desired) - 'WANTS' -Bachelors Degree in Computer Science, Information Systems, Business Administration, or other related field or equivalent work experience. The candidate must display the following technical competencies: - Basic knowledge of business requirement and corporate priorities - Basic ability to gather/refine complex business requirements, recommend or make decisions on business requirements/interdependencies - Basic ability to develop complex business cases - Basic ability to create impact analysis to make recommendations - Basic ability to present and defend complex positions and strategies for business decisions processes and plans

*****Hybrid schedule: Onsite in Long Beach four days per week with remote Fridays. This is a 6 month contract to hire position. ***** *****No third party Candidates***** **** Logistics Experience is Ideal**** Overview: A leading organization in the Maritime industry is seeking a Business Systems Analyst (BSA) to act as a critical liaison between business stakeholders and IT. The ideal candidate will gather requirements, create user stories, and support the delivery of technology projects, primarily application-focused with occasional infrastructure initiatives. This role requires strong communication skills, analytical thinking, and the ability to translate business needs into actionable IT solutions. Responsibilities: Serve as the primary liaison between business stakeholders and IT teams. Gather, document, and validate business requirements for application and infrastructure projects. Develop detailed user stories, process flows, and functional specifications. Collaborate with project managers, developers, and QA teams to ensure requirements are understood and implemented correctly. Support the planning, execution, and delivery of technology projects. Facilitate meetings, workshops, and discussions to clarify requirements and drive consensus. Assist with testing, UAT coordination, and issue resolution as needed. Ensure clear and timely communication between stakeholders and IT throughout the project lifecycle. Required Skills & Experience: 3+ years of experience as a Business Systems Analyst or similar role. Strong experience gathering requirements and creating user stories. Experience working on application-focused projects (web, desktop, or enterprise applications). Knowledge of infrastructure projects a plus but not primary. Excellent communication, documentation, and stakeholder management skills. Ability to work effectively in a hybrid, collaborative environment. Preferred Qualifications: Experience in the Maritime, shipping, or logistics industry. Familiarity with Agile methodologies and tools (Jira, Confluence, or similar). Understanding of QA processes and support for UAT.

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 .

TL;DR Kharon is seeking a full-time Research Analyst with language proficiency in Russian based in L.A. or Washington D.C. This role requires in-office attendance 4 days a week. RESPONSIBILITIES: Update existing research while monitoring developments on sanctions issues, regulatory environments, and other national security or compliance-related matters. Identify and utilize new data and sources of information to develop subject matter expertise on strategic topics related to business intelligence research, conflict and illicit finance analysis, and banking sector risk management/compliance. Identify risk-relevant research and data typologies, demonstrating sound analytical approaches and research techniques. Demonstrate creativity, resourcefulness, and innovation while maintaining a high ethical standard in working with colleagues and leaders. QUALIFICATIONS: A Bachelor's or Master's degree in International Relations, Political Science, Security Studies, Regional Studies, History, Sociology, or a related field. Must have working reading proficiency in Russian. Experience with academic or professional research, including the use of databases and online resources, is essential. Understanding of global sanctions, international regulations, and compliance issues. High ethical standard, cultural awareness, and sensitivity to work respectfully in a diverse research environment. Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. With dotted-line leadership from the EVP of Research, the core of this position is dedicated to conducting open-source research on a variety of foreign affairs and national security issues. More specifically, you will be researching, analyzing, and interpreting data as it relates to sanctions, export controls, and criminal/illicit networks. You will be responsible for the diligent pursuit of data as it relates to ever-evolving market demand and our client inquiries. Working collaboratively with the Kharon Research team, you will contribute to the development of new datasets and update existing ones, identifying and utilizing new sources and developing subject matter expertise on the various strategic topics. Leveraging your sound analytical approach and research techniques, you will identify data typologies and conduct risk-relevant research that contributes to the health of our data intelligence and overall platform. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision FSA program for both medical and dependent care 401k with matching and immediate vesting + ROTH IRA Paid time off + 11 paid holidays If interested in pursuing this position, please visit ************** to apply. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. The base salary range at Kharon is set between $65,000-$75,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.

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).

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.

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

Our client is seeking a Senior Data Engineer to join their team! This position is located in Glendale, California. Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines Build tools and services to support data discovery, lineage, governance, and privacy Collaborate with other software and data engineers and cross-functional teams Work with a tech stack that includes Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform Contribute to developing and documenting internal and external standards and best practices for pipeline configurations, naming conventions, and more Ensure high operational efficiency and quality of Core Data platform datasets to meet SLAs and ensure reliability and accuracy for stakeholders in Engineering, Data Science, Operations, and Analytics Participate in agile and scrum ceremonies to collaborate and refine team processes Engage with customers to build relationships, understand needs, and prioritize both innovative solutions and incremental platform improvements Maintain detailed documentation of work and changes to support data quality and data governance requirements Desired Skills/Experience: 5+ years of data engineering experience developing large data pipelines Proficiency in at least one major programming language such as: Python, Java or Scala Strong SQL skills and the ability to create queries to analyze complex datasets Hands-on production experience with distributed processing systems such as Spark Experience interacting with and ingesting data efficiently from API data sources Experience coding with the Spark DataFrame API to create data engineering workflows in Databricks Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines Experience developing APIs with GraphQL Deep understanding of AWS or other cloud providers, as well as infrastructure-as-code Familiarity with data modeling techniques and data warehousing best practices Strong algorithmic problem-solving skills Excellent written and verbal communication skills Advanced understanding of OLTP versus OLAP environments Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $51.00 and $73.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

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.

City: Glendale, CA Onsite/ Hybrid/ Remote: Onsite (4 days a week) Duration: 12 months Rate Range: Up to$92.5/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: • Information security background • Hands on experience writing and maintaining security or compliance policies • Experience supporting security audits or compliance assessments • Project management experience on security or compliance initiatives • WordPress experience for content publishing and site updates • Microsoft 365, including advanced Word and Excel, and PowerPoint (or Keynote) • Experience with collaboration and workflow tools such as Confluence, Jira and ServiceNow Responsibilities: • Support the studio content security team in securing content from early development through delivery by driving policy, audit and governance work. • Draft, update and maintain security and content security policies, standards and guidance that translate complex security controls into clear, user friendly documentation for creative and production stakeholders. • Act as a liaison between internal audit, studio business units and technology teams to plan, coordinate and track content security related audits and assessments. • Help ensure audits remain in scope, add value and align with content security objectives, including tracking findings, owners and action plans through closure. • Partner with legal and security stakeholders to define and refine security requirements and terms for agreements, and translate security needs into clear input for legal language. • Maintain and publish policy and guidance on the team's WordPress based site, including updates, edits and new content. • Manage and track policy, audit and stakeholder deliverables using project management practices and tools. • Use ServiceNow and similar tools to log, route and track stakeholder requests and build transparency and metrics around team workload. • Collaborate with application, cloud and AI security partners to align policies and requirements, including emerging areas such as AI usage, watermarking and related controls. • Prepare summaries, decks and documentation for leadership, internal partners and stakeholders, including executive ready overviews of complex topics. • Contribute to continuous improvement of content security processes, requirements and communication. Qualifications: • Prior experience in information security, content security, security governance, risk and compliance or a closely related security discipline. • Proven experience writing policies, standards, procedures or similar documentation from inception through publication. • Strong analytical and structured thinking with high attention to detail, balanced with the ability to apply contextual and flexible judgment to real world business needs. • Demonstrated ability to quickly learn a complex business environment and become an effective contributor. • Strong project management skills, including managing multi stakeholder work, tracking dependencies and driving deliverables to completion. • Ability to work both independently and collaboratively, with sound judgment on when to escalate, when to seek input and when to execute autonomously. • Excellent written and verbal communication skills, including the ability to condense complex topics into clear, concise executive summaries. • Comfortable operating in a fast paced environment with shifting priorities, and able to stay productive when priorities or direction change. • Highly organized, able to manage multiple initiatives in parallel and maintain progress in a matrixed environment. • Experience working with WordPress, Microsoft 365 (Word, Excel, PowerPoint), and collaboration tools such as Confluence, Jira and ServiceNow. • Media and entertainment or studio production experience preferred but not required, provided the candidate can demonstrate the ability to learn a new industry quickly. • Legal training or experience working closely with legal teams on security or contractual language is a plus, not a requirement. • Interest in or exposure to AI related security and policy topics is a plus. • HS Diploma required; additional education in information security, law, business, communications or related fields is a plus.

Role: Sr Technical Lead Duration: 12+ Month Contract Daily Tasks Performed: Lead the design, development, and deployment of a scalable, secure, and high-performance CDP SaaS product. Architect solutions that integrate with various data sources, APIs, and third-party platforms. Design, develop, and optimize complex SQL queries for data extraction, transformation, and analysis Build and maintain workflow pipelines using Digdag, integrating with data platforms such as Treasure Data, AWS, or other cloud services Automate ETL processes and schedule tasks using Digdag's YAML-based workflow definitions Implement data quality checks, logging, and alerting mechanisms within workflow Leverage AWS services (e.g., S3, Lambda, Athena) where applicable to enhance data processing and storage capabilities Ensure best practices in software engineering, including code reviews, testing, CI/CD, and documentation. Oversee data privacy, security, and compliance initiatives (e.g., GDPR, CCPA). Ensure adherence to security, compliance, and data governance requirements. Oversee development of real-time and batch data processing systems. Collaborate with cross-functional teams including data analysts, product managers, and software engineers to translate business requirements into technical solutions Collaborate with the stakeholders to define technical requirements to align technical solutions with business goals and deliver product features. Mentor and guide developers, fostering a culture of technical excellence and continuous improvement. Troubleshoot complex technical issues and provide hands-on support as needed. Monitor, troubleshoot, and improve data workflows for performance, reliability, and cost-efficiency as needed Optimize system performance, scalability, and cost efficiency. What this person will be working on: As the Senior Technical Lead for our Customer Data Platform (CDP), the candidate will define the technical strategy, architecture, and execution of the platform. They will lead the design and delivery of scalable, secure, and high-performing solutions that enable unified customer data management, advanced analytics, and personalized experiences. This role demands deep technical expertise, strong leadership, and a solid understanding of data platforms and modern cloud technologies. It is a pivotal position that supports the CDP vision by mentoring team members and delivering solutions that empower our customers to unify, analyze, and activate their data. Position Success Criteria (Desired) - 'WANTS' Bachelor's or Master's degree in Computer Science, Engineering, or related field. 8+ years of software development experience, with at least 3+ years in a technical leadership role. Proven experience building and scaling SaaS products, preferably in customer data, marketing technology, or analytics domains Extensive hands-on experience with Presto, Hive, and Python Strong proficiency in writing complex SQL queries for data extraction, transformation, and analysis Familiarity with AWS data services such as S3, Athena, Glue, and Lambda Deep understanding of data modeling, ETL pipelines, workflow orchestration, and both real-time and batch data processing Experience ensuring data privacy, security, and compliance in SaaS environments Knowledge of Customer Data Platforms (CDPs), CDP concepts, and integration with CRM, marketing, and analytics tools Excellent communication, leadership, and project management skills Experience working with Agile methodologies and DevOps practices Ability to thrive in a fast-paced, agile environment Collaborative mindset with a proactive approach to problem-solving Stay current with industry trends and emerging technologies relevant to SaaS and customer data platforms.