Assistant Data Analyst
Data analyst job in El Segundo, CA
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.
Data Analyst - Payroll
Data analyst job in Rosemead, CA
Trident Consulting is seeking a "Data Analyst" for one of our clients in “Rosemead, CA - Hybrid" A global leader in business and technology services.
Role: Data analyst
Duration: Contract
Rate: $18-23/Hr
Day-to-Day Responsibilities/Workload
Data Collection & Integration: Gather and consolidate data from diverse sources (SAP, Success Factors), including databases, spreadsheets, and other systems, ensuring accuracy and completeness.
Data Analysis & Reporting: Utilize Power Query and other analytical tools to create clear, insightful reports and summaries that effectively communicate findings to non-technical stakeholders.
Client Support & Issue Resolution: Respond to client inquiries through a shared inbox, providing timely and professional assistance. Troubleshoot and resolve issues related to payroll and expense data with attention to detail and accuracy.
Process Improvement: Identify opportunities to streamline data workflows and enhance reporting efficiency through automation and best practices.
Required Skills/Attributes
Advanced Excel, Customer Service Skills, team player.
Desired Skills/Attributes
SAP/ Successful Knowledge; Power Query
About Trident:
Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success.
Some of our recent awards include:
Trailblazer Women Award 2025 by Consulate General of India in San Francisco.
Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe.
Received the TechServe Excellence award.
Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America.
Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022.
Data Scientist
Data analyst job in Long Beach, CA
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly analytical and technically skilled Data Scientist to transform complex, multi-source data into unified, actionable insights used for executive reporting and decision-making.
This role requires expertise in business intelligence design, data modeling, metadata management, data integrity validation, and the development of dashboards, reports, and analytics used across operational and strategic environments.
The ideal candidate thrives in a fast-paced environment, demonstrates strong investigative skills, and can collaborate effectively with technical teams, business stakeholders, and leadership.
Essential Duties & Responsibilities
As a Data Scientist, participate across the full solution lifecycle: business case, planning, design, development, testing, migration, and production support.
Analyze large and complex datasets with accuracy and attention to detail.
Collaborate with users to develop effective metadata and data relationships.
Identify reporting and dashboard requirements across business units.
Determine strategic placement of business logic within ETL or metadata models.
Build enterprise data warehouse metadata/semantic models.
Design and develop unified dashboards, reports, and data extractions from multiple data sources.
Develop and execute testing methodologies for reports and metadata models.
Document BI architecture, data lineage, and project report requirements.
Provide technical specifications and data definitions to support the enterprise data dictionary.
Apply analytical skills and Data Science techniques to understand business processes, financial calculations, data flows, and application interactions.
Identify and implement improvements, workarounds, or alternative solutions related to ETL processes, ensuring integrity and timeliness.
Create UI components or portal elements (e.g., SharePoint) for dynamic or interactive stakeholder reporting.
As a Data Scientist, download and process SQL database information to build Power BI or Tableau reports (including cybersecurity awareness campaigns).
Utilize SQL, Python, R, or similar languages for data analysis and modeling.
Support process optimization through advanced modeling, leveraging experience as a Data Scientist where needed.
Required Knowledge & Attributes
Highly self-motivated with strong organizational skills and ability to manage multiple verbal and written assignments.
Experience collaborating across organizational boundaries for data sourcing and usage.
Analytical understanding of business processes, forecasting, capacity planning, and data governance.
Proficient with BI tools (Power BI, Tableau, PBIRS, SSRS, SSAS).
Strong Microsoft Office skills (Word, Excel, Visio, PowerPoint).
High attention to detail and accuracy.
Ability to work independently, demonstrate ownership, and ensure high-quality outcomes.
Strong communication, interpersonal, and stakeholder engagement skills.
Deep understanding that data integrity and consistency are essential for adoption and trust.
Ability to shift priorities and adapt within fast-paced environments.
Required Education & Experience
Bachelor's degree in Computer Science, Mathematics, or Statistics (or equivalent experience).
3+ years of BI development experience.
3+ years with Power BI and supporting Microsoft stack tools (SharePoint 2019, PBIRS/SSRS, Excel 2019/2021).
3+ years of experience with SDLC/project lifecycle processes
3+ years of experience with data warehousing methodologies (ETL, Data Modeling).
3+ years of VBA experience in Excel and Access.
Strong ability to write SQL queries and work with SQL Server 2017-2022.
Experience with BI tools including PBIRS, SSRS, SSAS, Tableau.
Strong analytical skills in business processes, financial modeling, forecasting, and data flow understanding.
Critical thinking and problem-solving capabilities.
Experience producing high-quality technical documentation and presentations.
Excellent communication and presentation skills, with the ability to explain insights to leadership and business teams.
Benefits
Medical coverage and Health Savings Account (HSA) through Anthem
Dental/Vision/Various Ancillary coverages through Unum
401(k) retirement savings plan
Paid-time-off options
Company-paid Employee Assistance Program (EAP)
Discount programs through ADP WorkforceNow
Additional Details
The base range for this contract position is $73 - $83 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered
About Us
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees.
Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY.
Check out more at ************** and reach out today to explore opportunities to grow together!
By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
Data Scientist
Data analyst job in Alhambra, CA
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
Technical Business Analyst (Media / Entertainment) - 140432
Data analyst job in Culver City, CA
Technical Business Analyst
Onsite in Culver City, CA / Sunnyvale, CA from Day 1 (Client prefer local folks)
Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri)
Long term contract
Direct client opportunity
No mid layer / No Implementation partners are Involved
Job Summary:
Client is seeking a detail-oriented and technically proficient Technical Business Analyst (Media) - Contractor to join our Content Engineering team. In this role, you will be a critical bridge between our engineering teams and the diverse range of stakeholders they support across Client's media ecosystem. You will be responsible for gathering, documenting, and translating complex technical requirements into clear, actionable specifications that enable our engineers to deliver innovative and reliable solutions. The ideal candidate will possess a strong technical aptitude, exceptional communication and interpersonal skills, and a passion for enabling creativity and efficiency in a fast-paced media environment. This role requires the ability to effectively communicate technical concepts to diverse audiences and build consensus around solutions.
Key Responsibilities:
Workflow Analysis & Optimization: Collaborate with media production teams (video editors, audio engineers, VFX artists, live events) to thoroughly document their specific network requirements, pain points, and desired outcomes. Translate these requirements into clear and actionable specifications for engineering team implementation.
Client Networking Team Collaboration & Advocacy: Act as a key liaison between Media teams and Engineering teams, building strong working relationships to champion the unique technical requirements of media teams and ensure that their needs are met. This includes effectively communicating documented requirements, proactively resolving conflicts, and fostering a spirit of partnership.
Requirements Elicitation: Conduct thorough interviews and workshops with stakeholders (networking engineers, storage engineers, media asset management engineers, file transfer services engineers, camera robotics operators, etc.) to elicit detailed requirements for new and existing systems.
Documentation & Specification: Create comprehensive and well-organized documentation of technical requirements, including use cases, user stories, data flows, and system diagrams.
Technical Translation: Translate complex technical concepts into clear and concise language that is easily understood by both technical and non-technical audiences.
Prioritization & Roadmapping: Work with engineering leads to prioritize requirements and contribute to the development of product roadmaps.
Process Improvement: Identify opportunities to improve the requirements gathering and documentation processes, streamlining workflows and increasing efficiency.
Market Research & Analysis: Conduct market research and analysis to identify emerging trends and technologies that could benefit Client's media engineering efforts.
User Acceptance Testing (UAT): Assist with the planning and execution of user acceptance testing to ensure that delivered solutions meet the documented requirements.
Qualifications:
Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
3+ years of experience in a business analyst, product analyst, or technical writing role.
Strong technical aptitude and the ability to quickly learn and understand complex technical concepts.
Exceptional communication, interpersonal, and relationship-building skills, with the ability to effectively communicate technical concepts to diverse audiences and build consensus around solutions.
Proven ability to document complex technical requirements in a clear and concise manner.
Strong understanding of service uptime, redundancy, and failover mechanisms in a broadcast environment.
Experience with requirements management tools and methodologies.
Familiarity with media production workflows and technologies a plus.
Passion for enabling creativity and innovation.
Preferred Qualifications:
Experience working in a media and entertainment environment.
Knowledge of networking, storage, or media asset management systems.
Experience with agile development methodologies.
Experience with user interface (UI) design principles.
Skill Sets:
Relating to Others - Is Required
Communication Skill - Is Required
Agile Project Management - Is Required
Requirements Gathering - Is Required
Media and Entertainment - Is Required
Pay Range: $70/hr - $75/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
Principal Data Scientist
Data analyst job in Alhambra, CA
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.
Business System Analyst
Data analyst job in Los Angeles, CA
The Business Systems Analyst will work collaboratively with business stakeholders and IT teams to understand business needs, elicit and document requirements, and facilitate the project pipeline. You'll work to align IT solutions with business objectives, optimizing processes, and driving successful implementation of technology initiatives. An ideal candidate must be an independent, creative problem-solver with ability to work through deadlines and collaborate cross-functionally. You will be partnering across not only this company but with their external partners, so strong communication and collaboration skills are key. The day to day will be 60% project-based work and 40% operational work to assist with technical integrations or upgrades across the IT organization.
Required Skills & Experience
- 5+ years of experience as a Business Systems Analyst working across IT organizations
- Strong experience with NetSuite or ERP systems
- Background in fashion/retail/apparel - understanding of supply chain, order management, POS, direct-to-consumer work
- Strong understanding of process mapping and taking requirements
Compensation
:
$75 to 85/hr
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Retail Business Analyst
Data analyst job in Los Angeles, CA
About the Company
POP MART (09992.HK), founded in 2010, is a leading global company in the trend culture and entertainment industry. Centered around IP, POP MART has built a comprehensive platform for creative incubation and IP operation, empowering global creators while delivering exciting products, services, and immersive entertainment experiences to consumers.POP MART identifies and nurtures emerging artists and designers worldwide, creating popular character IPs through a well-established IP development and operation system. Its portfolio includes iconic IPs such as MOLLY, SKULLPANDA, DIMOO, THE MONSTERS, and Hirono. By launching art toys and derivative products based on these IPs, POP MART continues to lead trends in consumer culture. As of the end of 2024, POP MART operates over 500 physical stores and more than 2,300 Robo Shops across 30+ countries and regions. Through multiple cross-border e-commerce platforms, the company has reached audiences in over 90 countries and regions, bringing joy to young consumers around the world.
About the Role
We are seeking a commercially-minded and collaborative Retail Business Analyst to serve as a key partner to our channel. This role goes beyond reporting - you will be the analytical engine that drives decision-making at the leadership level. Your primary mission is to uncover insights that reveal the health of our business, identify risks and opportunities, and spearhead solutions through deep cross-functional collaboration. You will transform raw data into actionable strategies that directly impact our top and bottom line.
What You Will Achieve
Generate daily/weekly/monthly commercial performance reports (sales, margin, inventory, sell-through) for execs; highlight key trends & deviations, and analyze core KPIs (sell-through rate, ATP, full-price sell, channel productivity) to assess business health.
Conduct deep-dive analyses of performance issues (regional sales decline, category underperformance, channel conflict) to identify root causes; build forward-looking models/forecasts/scenario plans to support strategic planning.
Act as the primary analytics partner for Sales Ops, Merchandising, and Supply Chain teams; translate insights into actionable recommendations and own end-to-end problem-solving (discovery → solution → implementation → impact measurement).
Lead data-driven business reviews to drive decisions; coordinate cross-functionally to align on data definitions & goals, bridge technical and commercial teams, and champion a data-centric culture across the organization.
What You Will Need
2+ years of experience as a Business Analyst, Commercial Analyst, or similar role in a fast-paced retail, DTC, or CPG environment.
Must-have Skills:
Advanced Analytical Proficiency: Expert in Excel/Google/Lark Sheets; strong experience with data visualization tools (e.g., Tableau, Power BI, Looker).
Business Acumen: Deep understanding of retail/commercial metrics and P&L drivers. You ask “why” behind the numbers.
Proactive Problem-Solver: A proven track record of identifying business problems through data and driving solutions to implementation.
Exceptional Communication & Influence: Ability to simplify complex data into executive-level stories and persuade stakeholders to act.
Collaborative Driver: Excellent at project management and coordinating across teams (Sales Ops, Merch, Finance, Logistics) without direct authority.
Preferred Skills:
Experience with SQL for data extraction and manipulation.
Familiarity with planning or ERP systems (e.g., SAP, Netsuite).
Chinese speaking will be a plus
What We Offer
Market-competitive packages: we provide 401k, health insurance, PTO leave, paid sick leave, and family leave, etc.
Opportunities to learn and lead: we provide on-the-job training to ensure employees are equipped with the most up-to-date skill sets and knowledge
Career development: we work with you to advance your career through short-term assignments, and new experiences, etc.
*POP MART is committed to equal pay initiatives and will not ask candidates for their current or past salary.
**As an Equal Opportunity Employer, POP MART does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state or local law.
Imaging Application Analyst (RIS, Radiology PACS, Cardiology PACS, Voice Dictation, Advanced Post Processing, RadOnc EMR, EKG/EEG, GI)
Data analyst job in Monterey Park, CA
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).
Senior Data Architect-SoCal only(No C2C)
Data analyst job in Calabasas, CA
JSG is seeking a Senior Data Solutions Architect for a client in Woodland Hills, CA. This position is remote, and our client is looking for local candidates based in Southern California.The Senior Data Solutions Engineer will design, scale, and optimize the company's enterprise data platform. This role will build and maintain cloud-native data pipelines, lakehouse/warehouse architectures, and multi-system integrations that support Finance, CRM, Operations, Marketing, and guest experience analytics.
The engineer will focus on building secure, scalable, and cost-efficient systems while applying modern DevOps, ETL, and cloud engineering practices requiring a strong technologist with hands-on expertise across data pipelines, orchestration, governance, and cloud infrastructure.
Key Responsibilities
Design, build, and maintain ELT/ETL pipelines across Snowflake, Databricks, Microsoft Fabric Gen 2, Azure Synapse Analytics, and legacy SQL/Oracle platforms.
Implement medallion/lakehouse architecture, CDC pipelines, and streaming ingestion frameworks.
Leverage Python (90%) and SQL (10%) for data processing, orchestration, and automation.
Manage AWS and Azure multi-account environments, enforcing MFA, IAM policies, and governance.
Build serverless architectures (AWS Lambda, Azure Functions, EventBridge, SQS, Step Functions) for event-driven data flows.
Integrate infrastructure with CI/CD pipelines (GitHub Actions, Azure DevOps, MWAA/Airflow, dbt) for automated testing and deployments.
Deploy infrastructure as code using Terraform and Azure DevOps for reproducible, version-controlled environments.
Implement observability and monitoring frameworks (Datadog, Prometheus, Grafana, Kibana, Azure Monitor) to ensure system reliability, performance, and cost efficiency.
Collaborate with stakeholders to deliver secure, scalable, and cost-efficient data solutions.
Background in Finance a or Consumer facing industries is preferred
Salary: $160K-$175K
JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.
Senior Data Engineer
Data analyst job in Glendale, CA
City: Glendale, CA
Onsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote)
Duration: 12 months
Rate Range: Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
• 5+ years Data Engineering
• Airflow
• Spark DataFrame API
• Databricks
• SQL
• API integration
• AWS
• Python or Java or Scala
Responsibilities:
• Maintain, update, and expand Core Data platform pipelines.
• Build tools for data discovery, lineage, governance, and privacy.
• Partner with engineering and cross-functional teams to deliver scalable solutions.
• Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows.
• Support platform standards, best practices, and documentation.
• Ensure data quality, reliability, and SLA adherence across datasets.
• Participate in Agile ceremonies and continuous process improvement.
• Work with internal customers to understand needs and prioritize enhancements.
• Maintain detailed documentation that supports governance and quality.
Qualifications:
• 5+ years in data engineering with large-scale pipelines.
• Strong SQL and one major programming language (Python, Java, or Scala).
• Production experience with Spark and Databricks.
• Experience ingesting and interacting with API data sources.
• Hands-on Airflow orchestration experience.
• Experience developing APIs with GraphQL.
• Strong AWS knowledge and infrastructure-as-code familiarity.
• Understanding of OLTP vs OLAP, data modeling, and data warehousing.
• Strong problem-solving and algorithmic skills.
• Clear written and verbal communication.
• Agile/Scrum experience.
• Bachelor's degree in a STEM field or equivalent industry experience.
Data Engineer
Data analyst job in Culver City, CA
Robert Half is partnering with a well known high tech company seeking an experienced Data Engineer with strong Python and SQL skills. The primary duties involve managing the complete data lifecycle and utilizing extensive datasets across marketing, software, and web platforms. This position is full time with full benefits and 3 days onsite in the Culver CIty area.
Responsibilities:
4+ years of professional experience ideally in a combination of data engineering and business intelligence.
Working heavily with SQL and programming in Python.
Ownership mindset to oversee the entire data lifecycle, including collection, extraction, and cleansing processes.
Building reports and data visualization to help advance business.
Leverage industry-standard tools for data integration such as Talend.
Work extensively within Cloud based ecosystems such as AWS and GCP ecosystems.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering, data warehousing, and big data technologies.
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL Technologies.
Experience working within GCP environments and AWS.
Experience in real-time data pipeline tools.
Hands-on expertise with Google Cloud services including BigQuery.
Deep knowledge of SQL including Dimension tables and experienced in Python programming.
Big Data Engineer
Data analyst job in Santa Monica, CA
Our client is seeking a Big Data Engineer to join their team! This position is located in Santa Monica, California.
Design and build core components of a large-scale data platform for both real-time and batch processing, owning key features of big data applications that evolve with business needs
Develop next-generation, cloud-based big data infrastructure supporting batch and streaming workloads, with continuous improvements to performance, scalability, reliability, and availability
Champion engineering excellence, promoting best practices such as design patterns, CI/CD, thorough code reviews, and automated testing
Drive innovation, contributing new ideas and applying cutting-edge technologies to deliver impactful solutions
Participate in the full software development lifecycle, including system design, experimentation, implementation, deployment, and testing
Collaborate closely with program managers, product managers, SDETs, and researchers in an open, agile, and highly innovative environment
Desired Skills/Experience:
Bachelor's degree in a STEM field such as: Science, Technology, Engineering, Mathematics
5+ years of relevant professional experience
4+ years of professional software development experience using Java, Scala, Python, or similar programming languages
3+ years of hands-on big data development experience with technologies such as Spark, Flink, SingleStore, Kafka, NiFi, and AWS big data tools
Strong understanding of system and application design, architecture principles, and distributed system fundamentals
Proven experience building highly available, scalable, and production-grade services
Genuine passion for technology, with the ability to work across interdisciplinary areas and adopt new tools or approaches
Experience processing massive datasets at the petabyte scale
Proficiency with cloud infrastructure and DevOps tools, such as Terraform, Kubernetes (K8s), Spinnaker, IAM, and ALB
Hands-on experience with modern data warehousing and analytics platforms, including ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, and more
Familiarity with common web development frameworks, such as Spring Boot, React.js, Vue.js, or Angular
Benefits:
Medical, Dental, & Vision Insurance Plans
Employee-Owned Profit Sharing (ESOP)
401K offered
The approximate pay range for this position is between $52.00 and $75.00. 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.
Transaction Analyst
Data analyst job in Los Angeles, CA
(BCE)
Benedict Canyon Equities is a private real estate investment firm with a 20-year history of delivering superior risk-adjusted returns. We specialize in acquiring and operating strategically located value-add and workforce housing properties in high-growth markets. Focused on private investors, BCE generates consistent income by implementing capital improvements, adding ancillary revenue streams, and streamlining operational inefficiencies-enhancing long-term value and increasing current cash flow. Since 2004, BCE has completed more than $57 billion in real estate transactions.
Position Overview
We're seeking a Transaction Analyst to join our Century City team. Reporting to the Senior Director of Transactions, this role supports all aspects of multifamily property acquisitions, refinances, and dispositions. You'll collaborate with internal departments and external partners to ensure efficient execution from underwriting through closing.
This is a 5-day in-office position based in Century City. Remote or hybrid work arrangements are not available.
Key Responsibilities
Support all stages of the acquisition, refinance, and disposition process for multifamily assets.
Conduct property-level due diligence and review financials, leases, and reports for accuracy.
Prepare financial analyses, lender forms, and transaction summaries.
Coordinate with brokers, lenders, attorneys, and internal teams to ensure timely closings.
Identify and recommend process improvements to increase efficiency and accuracy.
Qualifications
Bachelor's degree in Finance, Economics, or a related field.
2+ years of experience in real estate finance, investment analysis, or transactions (multifamily preferred).
Strong analytical and Excel skills; familiarity with financial modeling a plus.
Excellent written and verbal communication skills.
Ability to manage multiple priorities in a fast-paced, collaborative environment.
Compensation and Benefits
Benedict Canyon Equities offers a competitive base salary of $70K-$85K, performance-based bonus, and a comprehensive benefits package that includes:
Retirement plan with company match
Medical, dental, and vision coverage
Flexible Spending Accounts (FSA)
Long-Term Disability insurance
Accidental Death & Dismemberment coverage
Additional voluntary benefits and wellness programs
Equal Opportunity Employer
Benedict Canyon Equities is an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, or any other protected characteristic. All employment decisions are based on qualifications, merit, and business needs.
Lead Data Engineer - (Automotive exp)
Data analyst job in Torrance, CA
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.
Senior Asset Management Analyst
Data analyst job in Santa Monica, CA
RETS Associates, on behalf of our client, a diversified real estate operation platform with expertise in high-quality, grocery anchored shipping centers and premier office assets, is seeking an Asset Management Analyst/Sr. Analyst in Santa Monica, CA. The Analyst will support the Asset Management team in maximizing property values across a national portfolio of retail shopping center and Office assets. This position provides analytical and strategic support to Market Leads, acting as a financial partner responsible for modeling, valuation, leasing analysis, and transaction support.
Responsibilities:
• Develop, maintain, and validate property-level financial models and cash flow projections in Excel and Argus.
• Partner with Market Leads on annual budgets, forecasts, and strategic financial plans aligned with asset and company goals.
• Conduct investment and portfolio analyses, including hold/sell, yield on cost, and repositioning scenarios.
• Support quarterly valuation processes, coordinating with valuation teams and brokers to assess investment returns and market assumptions.
• Assist with due diligence and underwriting for dispositions and financings, preparing materials for buyers, lenders, and internal stakeholders.
• Prepare financial reports, memos, and presentations for leadership and investors.
• Participate in site visits to understand asset positioning, market conditions, and operational performance.
Qualifications:
• Bachelor's degree in Real Estate, Finance, Economics, or Accounting.
• 1-4 years of experience in real estate asset management, investment analysis, or related field.
• Proficiency in Excel and Argus.
• Strong understanding of financial modeling, valuation and return metrics.
• Excellent communication, organization and time management skills.
• Willingness to travel up to 15%.
Project Analyst
Data analyst job in Rosemead, CA
Job Title: Project Analyst / Program Analyst - Infrastructure Construction
Duration: 12-month contract
Pay Rate: $35-$39/hour (W2)
Travel: Occasional field/site visits required
Job Summary
The client is seeking a Project Analyst / Program Analyst to support large-scale infrastructure construction projects, with a strong preference for candidates experienced in electrical or utility-related projects. This role provides analytical, administrative, and coordination support to Project Managers overseeing capital construction initiatives.
The analyst will work closely with cross-functional teams and external stakeholders to ensure projects are planned, tracked, and executed efficiently from initiation through construction.
Key Responsibilities
Project & Program Support
Support Project Managers in managing infrastructure construction projects from planning through execution
Track project schedules, milestones, deliverables, risks, and action items
Assist with coordination across engineering, procurement, construction, and permitting teams
Prepare and maintain project documentation, reports, and trackers
Analytical & Problem-Solving Support
Perform analytical reviews of project status, timelines, and issues
Identify potential risks or execution gaps and escalate to Project Managers
Support status reporting and project performance metrics
Administrative & Coordination Duties
Organize meetings, prepare agendas, and document meeting notes
Maintain accurate project files and records
Ensure adherence to project processes and compliance requirements
Stakeholder & Customer Coordination
Interface with internal teams and external customer representatives
Coordinate technical and scheduling activities with multiple stakeholders
Communicate professionally with diverse personalities and work styles
Field Support
Participate in occasional on-site or field visits to support construction activities
Travel to other project locations as required
Required Skills & Qualifications
Required
Experience supporting Project Managers on construction or infrastructure projects
Background in infrastructure or construction environments (electrical preferred)
Strong analytical and problem-solving skills
Excellent organizational and administrative abilities
Strong interpersonal and communication skills
Ability to manage multiple priorities in a fast-paced environment
Results-driven and detail-oriented
Preferred
Experience with electrical infrastructure, substations, transmission, or utilities
Capital project or owner/operator project experience
Familiarity with cross-functional project teams in regulated environments
Additional Information
This is an onsite role in Rosemead, CA
Occasional travel and field exposure is required
Contract role with potential for extension based on project needs
Benefits that Russell Tobin offers:
Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
Azure & Microsoft Fabric Data Engineer & Architect
Data analyst job in Los Angeles, CA
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Our global solutions team is seeking an Azure & Microsoft Fabric Data Engineer/Architect to support and lead our Media & Entertainment client to build a next-generation financial data platform. We're looking for someone who can contribute both strategically and will have the hands-on skill to provide subject matter expertise. In this role, you'll design and build enterprise-level data models, lead data migration efforts into Azure, and develop cutting-edge data processing pipelines using Microsoft Fabric. If you thrive at the intersection of architecture and hands-on engineering, and want to help shape a modern financial system with complex upstream data processing - this is the opportunity for you!
This project will required the person to work onsite the Burbank / Studio City adjacent location 3 days / week. We are setting up interviews immediately and look forward to hearing from you!
This is a hybrid position requiring 3-4 days per week onsite.
Responsibilities
Architect, design, and hands-on develop end-to-end data solutions using Azure Data Services and Microsoft Fabric.
Build and maintain complex data models in Azure SQL, Lakehouse, and Fabric environments that support advanced financial calculations.
Lead and execute data migration efforts from multiple upstream and legacy systems into Azure and Fabric.
Develop, optimize, and maintain ETL/ELT pipelines using Microsoft Fabric Data Pipelines, Data Factory, and Azure engineering tools.
Perform hands-on SQL development, including stored procedures, query optimization, performance tuning, and data transformation logic.
Partner with finance, engineering, and product stakeholders to translate requirements into scalable, maintainable data solutions.
Ensure data quality, lineage, profiling, and governance across ingestion and transformation layers.
Tune and optimize Azure SQL databases and Fabric Lakehouse environments for performance and cost efficiency.
Troubleshoot data processing and pipeline issues to maintain stability and reliability.
Document architecture, data flows, engineering standards, and best practices.
Qualifications
Expert, hands-on experience with Azure Data Services (Azure SQL, Data Factory, Data Lake Storage, Synapse, Azure Storage).
Deep working knowledge of Microsoft Fabric, including Data Engineering workloads, Lakehouse, Fabric SQL, Pipelines, and governance.
Strong experience designing and building data models within Azure SQL and Fabric architectures.
Proven track record delivering large-scale data migrations into Azure environments.
Advanced proficiency in SQL/T-SQL, including stored procedures, indexing, and performance tuning.
Demonstrated success building and optimizing ETL/ELT pipelines for complex financial or multi-source datasets.
Understanding of financial systems, data structures, and complex calculation logic.
Excellent communication and documentation skills with the ability to collaborate across technical and business teams.
Additional Details
The base range for this contract position is $70-85/per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered.
Additional Details
The base range for this contract position is $70-85/per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered.
Benefits
Medical coverage and Health Savings Account (HSA) through Anthem
Dental/Vision/Various Ancillary coverages through Unum
401(k) retirement savings plan
Company-paid Employee Assistance Program (EAP)
Discount programs through ADP WorkforceNow
About Us
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY.
Check out more at ************** and reach out today to explore opportunities to grow together!
By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
Senior Data Engineer
Data analyst job in Glendale, CA
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.
Content Security Policy and Governance Analyst
Data analyst job in Glendale, CA
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.