analyst

data engineer - aws (snowflake) Jobs in Los Angeles

data engineer - aws (snowflake)

data engineer ii

data scientist intern Jobs in Los Angeles

data scientist intern

databricks data engineer (devops) Jobs in Los Angeles

databricks data engineer (devops)

principal analytics architect decision science

Oak Street Health, part of CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.<h1 class="jobSectionHeader">
Role Summary</h1>
CVS/Oak Street Health is seeking a Principal Analytics Architect to design and implement analytical models that enable faster, more reliable decision making across the organization. 
 
This role focuses on translating complex operational data into structured analytical models and semantic layers that support measurement, forecasting, and business insights. The work emphasizes understanding how the business operates and designing analytical systems that allow the organization to answer new questions quickly and consistently. 
 
This role begins as a senior individual contributor position, with the expectation that the individual will help shape Oak Street Health&rsquo;s analytical modeling practices and may eventually lead a team of like‑minded practitioners as the function grows.<h1 class="jobSectionHeader">
Key Responsibilities</h1><h2 class="jobSectionHeader">
Analytical Model Design</h2><ul><li>
Design analytical models that represent how core business processes operate across Oak Street Health.</li><li>
Translate complex operational systems into structured, reusable analytical frameworks that support measurement, forecasting, and decision making.</li><li>
Favor event‑based or transactional modeling approaches that support deterministic historical reconstruction, adjustments, and accurate measurement of business activity.</li></ul><h2 class="jobSectionHeader">
Semantic Layer Development</h2><ul><li>
Build and maintain Power BI semantic models that expose consistent metrics and business definitions across the organization.</li><li>
Ensure analytical assets support both deep exploration and rapid development of reporting and analysis for business stakeholders.</li></ul><h2 class="jobSectionHeader">
Exploratory Business Analysis</h2><ul><li>
Investigate operational data sources to understand how the business actually functions and identify opportunities to improve measurement and transparency.</li><li>
Translate business processes and operational workflows into structured analytical representations that can be reused across analytics and reporting.</li></ul><h2 class="jobSectionHeader">
Cross‑Functional Collaboration</h2><ul><li>
Partner with data engineering, analytics engineering, product, and operational teams to inform upstream data requirements needed to support robust analytical models.</li><li>
Clearly articulate modeling structures and analytical requirements needed to support reliable measurement and analysis.</li></ul><h2 class="jobSectionHeader">
AI‑Ready Data Foundations</h2><ul><li>
Contribute to the development of analytics‑ready datasets and semantic models that can support advanced analytics, machine learning, and AI‑driven decision support.</li><li>
Help identify opportunities where well‑structured analytical models can enable future AI/ML capabilities and automated decision support.</li></ul><h2 class="jobSectionHeader">
Analytical Asset Development</h2><ul><li>
Develop analytical artifacts including models, metric frameworks, and reports that help the organization monitor performance and identify opportunities for improvement.</li><li>
Enable rapid development of new reporting and analysis by ensuring underlying analytical models are well structured and reusable.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><h2 class="jobSectionHeader">
Required</h2><ul><li>
8+ years of experience in analytics, decision science, data analysis, or related fields.</li><li>
Strong SQL skills and experience working with complex operational datasets.</li><li>
Experience designing analytical data models for business analysis and reporting.</li><li>
Experience building semantic models or BI datasets (Power BI preferred).</li><li>
Ability to translate business processes into structured analytical frameworks.</li><li>
Ability to work independently in ambiguous environments and define analytical approaches without fully predefined requirements.</li><li>
Bachelor&rsquo;s degree or equivalent practical experience in a quantitative, technical, or analytical discipline.</li></ul><h2 class="jobSectionHeader">
Preferred</h2><ul><li>
Experience working in healthcare analytics, population health, or value‑based care environments.</li><li>
Familiarity with Medicare Advantage concepts is helpful but not required.</li><li>
Background in finance, strategy analytics, or consulting environments is helpful but not required.</li><li>
Experience using tools such as Excel Power Pivot to prototype analytical models and iterate on metric definitions.</li><li>
Comfort leveraging modern generative AI tools to accelerate analysis, exploration, and development workflows.</li></ul><h1 class="jobSectionHeader">
Characteristics of Successful Candidates</h1><ul><li>
Curiosity about how businesses operate and how performance should be measured.</li><li>
Strong systems thinking and the ability to identify patterns within complex data environments.</li><li>
Ability to isolate meaningful signal from noisy or inconsistent operational data and translate that understanding into structured analytical models.</li><li>
A bias toward building reusable analytical models and frameworks rather than one-off analyses.</li><li>
Comfort working across business, data, and analytical domains and identifying modeling opportunities without waiting for predefined reporting requests.</li></ul><h1 class="jobSectionHeader">
Career Growth</h1>
Although this role begins as a senior individual contributor position, the Principal Analytics Architect will play a key role in shaping Oak Street Health&rsquo;s analytical modeling practices. 
 
As the function grows, this individual may have the opportunity to mentor and lead a team of analytics practitioners focused on advanced analytical modeling and decision science.<h1 class="jobSectionHeader">
Why This Role Matters</h1>
Oak Street Health continues to expand its data and analytics capabilities to support operational excellence and improved patient outcomes. Well‑designed analytical models and semantic layers allow the organization to measure performance accurately, surface insights quickly, and enable better decisions at every level.
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 04/07/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Principal Analytics Architect – Decision Science

Tiger Analytics

<div>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities: 
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul> 

Requirements 
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with Retail Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</div>

Lead Data Scientist

The Data Sherpas

<div>Who We Are:

We are a dynamic team focused on building innovative and scalable data solutions on Amazon Web Services (AWS). Our AWS Data Engineer will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.The ideal candidate will bridge the gap between AWS infrastructure and Snowflake Data Cloud, ensuring a seamless flow of data for analytics. 
What We Are Looking For:

We are seeking a highly skilled and experienced AWS Data Engineer who will be responsible for developing and managing data pipelines on AWS. The ideal candidate will bring strong expertise in AWS data services, big data processing, and data modeling to help us provide high-performance data solutions. Experience in optimizing Snowflake performance and managing Snowflake objects within an AWS environment is critical. 
Responsibilities:

Data Pipeline Development and Management:
<ul>
<li>Design and automate end-to-end data ingestion from APIs, databases, and third-party sources into AWS S3 using Glue, Kinesis, and Lambda.</li>
<li>Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.</li>
<li>Optimize data pipeline performance, scalability, and reliability.</li>
<li>Ensure data processing and ingestion workflows are monitored and meet performance SLAs.</li></ul> 


Data Storage and Management:
<ul>
<li>Design and implement data storage solutions using Amazon S3, Redshift, DynamoDB, and RDS.</li>
<li>Architect and manage the 'S3-to-Snowflake' bridge using Snowpipe and External Tables to ensure near real-time data availability.</li>
<li>Optimize data structures, partitioning, and indexing for performance and cost efficiency.</li>
<li>Ensure data security, integrity, and availability across different AWS storage solutions.</li>
<li>Manage data lifecycle policies and archiving processes.</li></ul> 


Data Transformation and Processing:
<ul>
<li>Develop data transformation processes using AWS Glue, EMR, and Athena.</li>
<li>Implement data quality checks, validation rules, and monitoring solutions.</li>
<li>Support real-time and batch data processing needs.</li>
<li>Develop and manage complex data transformations using dbt and Snowflake SQL, ensuring code modularity and version control.</li></ul> 


Data Integration and Automation:
<ul>
<li>Integrate data from multiple sources, including APIs, databases, and third-party applications.</li>
<li>Ensure data consistency across different environments and systems.</li></ul> 


Collaboration and Stakeholder Engagement:
<ul>
<li>Work closely with data scientists and analysts to understand data needs and business goals.</li>
<li>Provide technical guidance and best practices to the data engineering and business teams.</li>
<li>Collaborate with security and compliance teams to ensure data governance standards are met.</li></ul> 


Performance Monitoring and Troubleshooting:
<ul>
<li>Monitor data pipeline performance and troubleshoot issues in real-time.</li>
<li>Analyze data pipeline failures and implement fixes to prevent recurrence.</li>
<li>Set up logging and monitoring using CloudWatch and X-Ray.</li></ul> 


Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related field; Master&rsquo;s degree is a plus.</li>
<li>5+ years of experience in data engineering, with a focus on AWS and modern cloud data warehouses (Snowflake experience required).</li>
<li>AWS Certified Data Analytics &ndash; Specialty or AWS Certified Big Data &ndash; Specialty certification is required.</li>
<li>Strong proficiency with AWS services such as S3, Redshift, Glue, Athena, Kinesis, Lambda, and Step Functions.</li>
<li>Hands-on experience with big data tools and frameworks such as Apache Spark, Hadoop, and Flink.</li>
<li>Proficiency in dbt (Core or Cloud) for managing transformation workflows, with a strong understanding of dbt testing and documentation frameworks.</li>
<li>Proficiency in programming languages such as Python, Java, or Scala.</li>
<li>Strong knowledge of SQL, data modeling, and query optimization.</li>
<li>Experience with CI/CD tools and version control (e.g., Git, CodePipeline).</li>
<li>Strong understanding of data governance, security, and compliance requirements.</li>
<li>Ability to manage large-scale data processing and real-time data pipelines.</li>
<li>Excellent problem-solving, analytical, and communication skills.</li></ul> 


Preferred Skills:
<ul>
<li>Experience with data lake architecture and implementation on AWS.</li>
<li>Familiarity with Infrastructure as Code (IaC) tools such as CloudFormation and Terraform.</li>
<li>Experience with NoSQL databases (e.g., DynamoDB) and key-value stores.</li>
<li>Knowledge of containerization and orchestration using ECS and EKS.</li>
<li>Snowflake Core Certification (Pro) is a significant plus.</li>
<li>Experience with dbt-package management and integrating dbt with AWS-based orchestration tools like Airflow or Step Functions.</li></ul> 


What We Offer:
<ul>
<li>Competitive salary and performance-based incentives.</li>
<li>Comprehensive health, dental, and vision coverage.</li>
<li>401(k) with company matching.</li>
<li>Professional development and training opportunities (including AWS certification).</li>
<li>Flexible work environment and remote work options.</li></ul> 


Join us and be part of a team building innovative and scalable data solutions on Amazon Web Services! 
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate. 
We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.</div>

Data Engineer - AWS (Snowflake)

Scribd, Inc.

<div>
 Scribd, Inc. is on a mission to advance human understanding. Our four products &mdash; Scribd&reg;, Slideshare&reg;, Everand&trade;, and Fable &mdash; help billions of people across the globe move beyond access and into insight, application, and expertise.
 
 
 
 Culture at Scribd, Inc.
 
 
 
 We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
 
 
 We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.
 
 
 So what are we looking for in new team members? At Scribd, Inc., we hire for &ldquo;GRIT.&rdquo; Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.
 
 
 This posting reflects an approved, open position within the organization.
 
 
 
 About The Role &amp; Team
 
 
 
 As a Senior Customer Operations Data Analyst, you will play a pivotal role in analyzing support data (primarily through tickets and user feedback) to understand issues and insights, enhance decision-making, and improve the overall user experience. You will work closely with cross-functional teams to uncover root causes of customer support challenges and opportunities. The ideal candidate is a self-starter who thrives in fast-paced and ever-changing environments. You should be a passionate advocate for improving the customer journey through data-driven insights.
 
 
 As Scribd&rsquo;s first formal analytics hire for the Customer Support team, this is a unique opportunity to shape and drive the analytics function within the department. You will be responsible for gathering, synthesizing, and improving insights across all functions of Customer Support. This includes collaborating with and mentoring peers, as well as hands-on work to collect and analyze data related to key metrics such as Service Level Agreements (SLAs), Quality Assurance (QA), contact rate, customer support satisfaction, refunds, churn, and cost-to-support. You will play a pivotal role in ensuring that data-driven insights are used to enhance decision-making and improve the overall user experience.
 
 
 
 Key Attributes For Success
 
 
 
 <ul>
 <li>
 Customer-centric mindset with strong advocacy for customer needs
 </li>
 <li>
 Entrepreneurial, proactive approach to problem-solving
 </li>
 <li>
 Ability to thrive in a dynamic and fast-paced environment
 </li>
 <li>
 Understands how to leverage the latest technologies, including AI, to enhance customer support operations.
 
 
 </li>
 </ul>
 
 You Will
 
 
 
 <ul>
 <li>
 Data Collection, Synthesis, and Analysis: Gather, analyze, and interpret data to provide insights on customer support data and trends. Create pipelines for the collection and processing of new data from customer support sources.
 </li>
 <li>
 Reporting &amp; Insights: Create comprehensive reports in Databricks, Looker, Google Sheets, Zendesk, and/or similar tools to monitor key metrics.
 </li>
 <li>
 Performance Metrics: Evaluate the effectiveness and performance of Customer Support goals, initiatives, and projects. Conduct in-depth analyses of performance, measuring KPIs such as service level achievement, customer effort &amp; satisfaction, and user retention.
 </li>
 <li>
 Customer Insights: Analyze customer feedback and behavior patterns in response to product changes and on an ongoing basis.
 </li>
 <li>
 Forecasting: Forecast contact volumes and capacity needs.
 </li>
 <li>
 Roadmapping: Collaboratively manage the Customer Support&rsquo;s data analysis roadmap with leadership.
 </li>
 <li>
 Collaboration: Work cross-functionally with stakeholders across Customer Support, Data &amp; Analytics, Product, Engineering, and User Research.
 </li>
 <li>
 Leveraging Technology: Use AI and BI to enhance customer support operations and increase efficiency. Develop and maintain dashboards and reports and own communication of critical marketing metrics and campaign performance to team leads and executive stakeholders.
 </li>
 <li>
 Process Improvement: Provide actionable insights to stakeholders through data analysis, and identify opportunities for improvements operational efficiency. Stay informed about the latest Customer Support trends, analytics tools, and methodologies to continuously improve performance and methodologies.
 </li>
 <li>
 Project Support: Understand, document, and communicate business requirements for projects and process changes.
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 <ul>
 <li>
 3+ years of experience in an analytical or reporting role in Customer Support or Customer Operations within a digital consumer industry, with a strong focus on working autonomously to solve problems.
 </li>
 <li>
 Proficient in using data analytics tools including SQL, Python, Databricks, Looker, and Zendesk Explore (or similar BI tools).
 </li>
 <li>
 Strong working knowledge of MS Excel and/or Google Sheets
 </li>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or Computer Science).
 </li>
 <li>
 Solid knowledge of statistical concepts, including experimental design, hypothesis testing, regression analysis, and forecasting.
 </li>
 <li>
 Exceptional communication and presentation skills, with the ability to translate complex data into clear, actionable recommendations for technical and non-technical stakeholders.
 </li>
 <li>
 Understanding of measurement methodologies and reporting capabilities in ad platforms like Google Ads and Meta Ads a plus.
 </li>
 <li>
 A passion for analyzing user behavior and proven ability to combine product-level and CS data with customer-level data to understand key drivers of performance.
 </li>
 <li>
 Experience with agile workflows and collaboration across product, research, and operations teams.
 </li>
 <li>
 Detail-oriented with strong analytical, critical thinking, and problem-solving skills
 </li>
 <li>
 Ability to work independently, manage multiple tasks, prioritize effectively, and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Experience working with BPOs in an outsourced environment is a nice to have.
 
 
 </li>
 </ul>
 At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.
 
 
 In the state of California, the reasonably expected salary range is between $115,000 [minimum salary in our lowest geographic market within California] to $148,000 [maximum salary in our highest geographic market within California].
 
 
 In the United States, outside of California, the reasonably expected salary range is between $109,500 [minimum salary in our lowest US geographic market outside of California] to $140,000 [maximum salary in our highest US geographic market outside of California].
 
 
 In Canada, the reasonably expected salary range is between $102,500 CAD[minimum salary in our lowest geographic market] to $130,000 CAD[maximum salary in our highest geographic market].
 
 
 We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
 
 
 
 Working at Scribd, Inc.
 
 
 
 
 Are you currently based in a location where Scribd, Inc. can employ you?
 
 
 
 Employees must have their
 
 primary residence in or near
 
 one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
 
 
 
 United States
 
 
 
 Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.
 
 
 
 Canada
 
 
 
 Ottawa | Toronto | Vancouver
 
 
 
 Mexico
 
 
 
 Mexico City
 
 
 
 Benefits At Scribd, Inc.
 
 
 
 <ul>
 <li>
 Scribd Flex (flexible work model)
 </li>
 <li>
 Comprehensive health, dental, and vision coverage
 </li>
 <li>
 Mental health support and disability coverage
 </li>
 <li>
 Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
 </li>
 <li>
 Paid parental leave and family support benefits
 </li>
 <li>
 Retirement matching and employee equity
 </li>
 <li>
 Learning and development programs and professional growth opportunities
 </li>
 <li>
 Wellness and home office stipends
 </li>
 <li>
 Complimentary access to the Scribd, Inc. suite of products
 </li>
 <li>
 Enterprise access to leading AI tools
 
 
 </li>
 </ul>
 
 Get to Know Scribd, Inc.
 
 
 
 
 About Scribd, Inc.
 
 
 
 
 Life at Scribd, Inc.
 
 
 
 
 We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
 
 
 
 
 Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
 
</div>

Senior Data Analyst - Customer Operations

California Fair Plan Association

<div>POSITION SUMMARY 
The Claims Operations Manager supports the Claims teams through robust training, accurate data reporting, and efficient processes. This role is also responsible for evaluating and analyzing the Claims department&rsquo;s policies and procedures to recommend streamlining, developing, or eliminating processes, and ensuring efficient claims handling.<div> 
PRINCIPAL DUTIES &amp; RESPONSIBILITIES 
<ul><li>Continually evaluate Claims processes for efficiency and regulatory compliance.</li><li>Lead and coach staff to elevate performance, foster development, and ensure accountability.</li><li>Monitor, measure, and report on process improvements and training effectiveness.</li><li>Coordinate legal review of training material and document approvals in compliance records.</li><li>Guide and oversee the Claims Business Process Analyst, ensuring efficient collaboration with business partners.</li><li>Oversee the claims data reporting process, ensuring timely, accurate data reporting. Monitor new regulations and industry practices for CFP policy updates.</li><li>Ensure all Department of Insurance compliance training materials are up to date, keeping pace with regulatory changes and other market developments.</li><li>Oversee the creation of Claims unit training materials, delivery methods, and employee development programs to align with unit and company strategy and standards.</li><li>Implement policies to ensure compliance with claim-handling guidelines and to ensure good-faith handling of claims.</li><li>Collaborate with Claims Managers to provide relevant content for training materials.</li><li>Identify and recommend specific training programs to help employees maintain or improve job skills.</li><li>Recommend process modifications to improve quality, workflow, and policies and procedures.</li><li>Develop and manage the Claims training schedule for new hires, current team members, and vendors.</li><li>Report implementation progress and training completion to Claims management.</li><li>Serve as the liaison to the California Earthquake Authority, representing the organization with professionalism and integrity.</li><li>Any other duties needed to fulfill the Association's Mission, Values, and Strategic Objectives.</li></ul></div><div> 
EDUCATION &amp; EXPERIENCE 
<ul><li>Bachelor&rsquo;s degree in Business or related field</li><li>10+ years property claims experience, with 2+ years in management</li><li>Claims training and auditing experience preferred.</li><li>Demonstrated communication skills, both written and verbal</li><li>Proven decision-making skills and attention to detail</li><li>Advanced skills in Microsoft Office Suite of products</li><li>Advanced skills in Xactimate and Xactanalysis</li><li>Comprehensive understanding of policy contract/statutes and claims processes</li><li>Experienced handling, producing, and presenting claims data to stakeholders preferred</li><li>Duck Creek experience preferred</li><li>Certified in CEA and Fair Claims Settlement Practices preferred</li></ul></div></div>

Property Claims Operations Manager (Remote)

<div>POSITION SUMMARY 
The Claims Quality Assurance Supervisor leads a team of Quality Assurance Representatives or Quality Analysts. This role is responsible for reviewing claim files for accuracy, compliance with policies and procedures, as well as CA Department of Insurance guidelines. This role will also include managing communications with the Department of Insurance as well as assisting with coverage analysis for Claims Examiners.<div> 

PRINCIPAL DUTIES &amp; RESPONSIBILITIES 
<ul><li>Assist the Claims Quality Assurance Manager in managing and leading the Quality Assurance Department.</li><li>Collaborate with and support Claims Quality Analysts and QA Representative teams to maintain the daily workflow across the Quality Assurance Department.</li><li>Hire, train, and coach Quality Assurance Representatives and Claims Quality Analysts.</li><li>Provide file data for file reviews and maintain the audit platform.</li><li>Direct and oversee file reviews and Department of Insurance complaint responses.</li><li>Provide feedback/results/trends to Claims Examiners, Supervisor, Managers, and Claims Quality Manager based on review results and findings and make recommendations for training or improvement</li><li>Review, analyze, and provide suggestions for claim handling practices handled by Desk Examiners and Independent Adjusters.</li></ul>
Review repair estimates for technical accuracy and adherence to industry/CFP guidelines/standards, as well as client requirements. 
<ul><li>Compile estimate revision requests and coordinate with network contractors to obtain estimate corrections.</li><li>Verify file documentation is included for completion of the review process.</li><li>Create and maintain workbooks, questionnaires, processes, and training materials to promote accuracy and consistency.</li><li>Take lead on various projects, including but not limited to QA software and report implementation.</li><li>Manage CEA Liaisons and support CEA training and reporting.</li><li>Adhere to Federal and State laws and regulation.</li><li>Any other duties needed to help fulfill the Associations Mission, abide by the Association&rsquo;s Values, and fulfill the Association&rsquo;s Strategic Objectives.</li></ul></div><div> 

EDUCATION &amp; EXPERIENCE 
<ul><li>Bachelor&rsquo;s degree or equivalent preferred.</li><li>Strong knowledge of property claims. Minimum of 5-10 years&rsquo; property insurance claims experience, 2+ years of Quality Assurance experience and 1 year of supervisory experience.</li><li>Strong organizational, file management and time management skills.</li><li>Attention to detail; ability to prioritize and strong decision-making skills.</li><li>Excellent written and oral communication skills.</li><li>Adaptability and demonstrated ability to manage change.</li><li>Working experience with MS-Office (especially Word and Excel) is required.</li><li>Proficient in the Xactimate estimating program.</li><li>Certified in CEA and Fair Claims Settlement Practices.</li></ul></div></div>

Property Claims Quality Assurance Supervisor (Remote)

Centene

<div>You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. 
Position Purpose: Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment.<ul><li>
Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)</li>
<li>Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics</li>
<li>Designs, develops, and maintains real-time processing applications and real-time data pipelines</li>
<li>Ensure quality of technical solutions as data moves across Centene&rsquo;s environments</li>
<li>Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions</li>
<li>Develops, constructs, tests, and maintains architectures using programming language and tools</li>
<li>Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated</li><li>
Performs other duties as assigned</li>
<li>Complies with all policies and standards</li></ul>
Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 &ndash; 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. 
 
Technical Skills:<ul><li>
One or more of the following skills are desired.</li><li>
ETL</li><li>
SQL</li><li>
Snowflake</li></ul>
Pay Range: $63,600.00 - $114,600.00 per year
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. 
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act</div>

Data Engineer II

Explore 53+ Principal analytics architect decision science in Los Angeles this April. Find roles across top companies and apply now to boost your career.