business system analyst (bsa), enterprise data

business data analyst

business system analyst (bsa), enterprise data Jobs in Irvine

data engineer

data scientist

lead data engineer

sr data engineer audience data platform

WeVision LLC

<p><b>Employment Type:</b> Contract/remote</p><p><b>About the Role</b></p><p>We are seeking a Sr. Data Engineer Consultant to support the development and enhancement of a large-scale Audience Data Platform (AMP) for a leading global streaming and media technology company.</p><p>This platform serves as the centralized audience data hub, capturing and processing consumer behavior across multiple channels and delivering summarized insights to downstream systems that support marketing, analytics, product, and business decision-making.</p><p>As a Sr.Data Engineer Consultant, you will play a key role in building scalable and reliable data infrastructure that enables the organization to maintain a comprehensive and trusted source of customer data. Your work will directly impact how teams across the company understand audiences, generate insights, and activate data-driven strategies.</p><p><b>What You Will Do</b></p><ul><li>Design, develop, and maintain large-scale data pipelines that capture and process consumer interaction data across multiple platforms.</li><li>Contribute to the development of the Audience Manager Platform (AMP), a centralized system that unifies customer profiles and provides a trusted source of audience insights.</li><li>Build scalable and fault-tolerant data processing systems to ensure reliable delivery of audience data to multiple business endpoints.</li><li>Develop backend data services and pipelines that support data ingestion, transformation, and activation workflows.</li><li>Work with cross-functional teams including data scientists, analytics teams, product teams, and business stakeholders to enable timely access to high-quality audience data.</li><li>Optimize and maintain distributed data processing frameworks to improve system performance and scalability.</li><li>Ensure high data quality, reliability, and observability across production data systems.</li><li>Serve as a technical point of contact or SME for data engineering systems in a multi-system production environment.</li></ul><p><b>Basic Qualifications</b></p><ul><li>4+ years of experience in big data engineering, building and maintaining large-scale data pipelines.</li><li>Hands-on experience with distributed data processing systems such as Spark (PySpark) or Flink.</li><li>Strong programming skills in Python and SQL for processing large datasets.</li><li>Experience with at least one MPP or cloud data warehouse such as Snowflake, Redshift, BigQuery, or Databricks.</li><li>Solid understanding of data modeling, data warehousing concepts, and best practices.</li><li>Experience supporting production data environments and acting as a technical point of contact or subject matter expert.</li><li>Strong analytical, problem-solving, and communication skills, with high attention to detail.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience working with AWS cloud technologies (e.g., S3, ECS, EMR, EC2, Lambda).</li><li>Hands-on experience with data orchestration and integration tools such as Airflow.</li><li>Familiarity with CI/CD practices for data pipelines.</li><li>Experience working within Agile or Scrum development environments.</li></ul><p><b>Education</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or a related technical field, or equivalent practical experience.</li><li>Minimum of 4 years of relevant professional experience in data engineering or related roles.</li></ul><p><b>Location Preference</b></p><p>While this role is open to candidates across the U.S., candidates based in California or Utah are strongly preferred.</p><p>Job Type: Full-time</p><p>Pay: $100,000.00 - $160,000.00 per year</p><p>Work Location: Hybrid remote in Irvine, CA 92618</p>

Sr. Data Engineer-Audience Data Platform

Slalom

<div>
 <strong>
  Role: Data Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Who You&rsquo;ll Work With
  <br/>
  <br/>
 </strong>
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 <br/>
 <br/>
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 <br/>
 <br/>
 <ul>
  <li>
   Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
  </li>
  <li>
   Enhancing Machine Learning and Artificial Intelligence capabilities
  </li>
  <li>
   You will work collaboratively with teams in a hybrid environment, with expectation to be in-person with Slalom team members and clients as needed.
  </li>
  <li>
   You also must be within commutable distance to one of the listed Slalom office locations for this role.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 <br/>
 <br/>
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 <br/>
 <br/>
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 <br/>
 <br/>
 <ul>
  <li>
   Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  </li>
  <li>
   Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  </li>
  <li>
   Object Oriented Coding (Java, Python)
  </li>
  <li>
   NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  </li>
  <li>
   Container Management Systems (Kubernetes, Amazon ECS)
  </li>
  <li>
   Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  </li>
  <li>
   Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  </li>
  <li>
   Visual Analytics (Tableau, PowerBI)
  </li>
  <li>
   Modern Data Workflows (Apache Airflow, dbt, Dagster)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 <br/>
 <br/>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 <br/>
 <br/>
 Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges outlined below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual&rsquo;s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
 <br/>
 <br/>
 <ul>
  <li>
   Los Angeles, Orange County, San Diegeo
  </li>
  <ul>
   <li>
    Consultant: $99,000 - $133,000
   </li>
  </ul>
  <li>
   Phoenix
  </li>
  <ul>
   <li>
    Consultant: $91,000 - $122,000
    <br/>
   </li>
  </ul>
 </ul>
 We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com.
 <br/>
 <br/>
 <strong>
  EEO and Accommodations
  <br/>
  <br/>
 </strong>
 <em>
  Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact
 </em>
 <em>
  accomodationrequest@slalom.com
 </em>
 <em>
  if you require accommodations during the interview process.
 </em>
</div>


Data Engineer

Qcells

<div><p><b>Description</b>
</p><h3 class="jobSectionHeader"><b>POSITION DESCRIPTION:</b></h3><p>
We are seeking a <b>Lead Data Engineer</b> to architect, build, and lead the development of scalable, cloud-based data platforms that support enterprise analytics, operational reporting, and advanced data use cases. This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational systems, and establishing robust data models within a modern lakehouse architecture.</p><p>
The ideal candidate brings deep SQL and Python expertise, extensive experience with distributed data platforms, and strong knowledge of data architecture, governance, and performance optimization. This individual will serve as a technical leader and mentor, partnering closely with architects, analysts, application teams, and business stakeholders to deliver reliable, scalable, and well-governed enterprise data solutions.</p><h3 class="jobSectionHeader"><b>
RESPONSIBILITIES</b></h3><ul><li>
Lead the design, development, and optimization of scalable data pipelines supporting ingestion, transformation, and enterprise-wide data consumption.</li><li>
Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud data platforms.</li><li>
Oversee and optimize data integrations from ERP (NetSuite/SAP), CRM (Salesforce), internal systems, APIs, and third-party data sources.</li><li>
Design and govern high-quality, scalable data models supporting analytics, reporting, operational systems, and advanced use cases.</li><li>
Partner with Data Architects to define and implement lakehouse patterns, Delta Lake strategies, medallion architecture, and domain-driven design principles.</li><li>
Establish and enforce data quality frameworks, validation standards, lineage tracking, and observability practices.</li><li>
Drive performance optimization, scalability, reliability, and cost governance across cloud environments.</li><li>
Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce engineering best practices.</li><li>
Collaborate cross-functionally with analysts, application teams, and business stakeholders to translate requirements into scalable data solutions.</li><li>
Lead MDM, metadata management, governance, and data standardization initiatives.</li><li>
Oversee CI/CD automation, DevOps integration, testing frameworks, and monitoring strategies for data workflows.</li><li>
Evaluate emerging technologies and recommend platform improvements aligned with enterprise strategy.</li></ul><h3 class="jobSectionHeader"><b>
MINIMUM QUALIFICATIONS</b></h3><ul><li>
10+ years of experience in data engineering, data architecture, or related roles.</li><li>
Proven experience leading large-scale data platform initiatives in cloud environments.</li><li>
Extensive hands-on experience with Azure data services (Data Lake, Data Factory, Fabric, Synapse, or similar).</li><li>
Advanced proficiency in SQL and Python; experience with Spark or distributed processing frameworks.</li><li>
Deep experience designing and implementing enterprise ETL/ELT frameworks.</li><li>
Strong expertise in data modeling (dimensional modeling, star schema, lakehouse/Delta modeling).</li><li>
Experience integrating complex enterprise systems (ERP, CRM, operational platforms).</li><li>
Strong understanding of data governance, metadata management, MDM, and data quality frameworks.</li><li>
Experience with performance tuning, workload optimization, and cloud cost management.</li><li>
Demonstrated ability to lead technical teams, conduct architecture reviews, and mentor engineers.</li><li>
Strong problem-solving, debugging, and system design skills.</li><li>
Travel may be required up to 5%, depending on business needs.</li></ul><h3 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h3><ul><li>
Experience with Delta Tables, Snowflake, Synapse, or comparable cloud data platforms.</li><li>
Experience with event-driven and streaming architectures (Kafka, Event Hub, streaming pipelines).</li><li>
Familiarity with finance, operations, energy, or ERP-driven data domains.</li><li>
Experience designing API-based data integrations and modern integration patterns.</li><li>
Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent).</li><li>
Experience enabling analytics teams, data science workflows, or ML pipelines.</li><li>
Experience implementing enterprise data security and compliance frameworks.</li></ul><br>
Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world&acute;s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology &amp; Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.<br>
<br>
<div><div><div><br>
<b>PHYSICAL, MENTAL &amp; ENVIRONMENTAL DEMANDS:</b><br>
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements <i>normally expected</i> to perform <i>regular</i> job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.</div></div><div><div><div><div><b><br>
Mobility</b></div></div><br>
<div><div><br>
Standing</div><div><br>
20% of time</div></div><br>
<div><div><br>
Sitting</div><div><br>
70% of time</div></div><br>
<div><div><br>
Walking</div><div><br>
10% of time</div></div><br>
<div><div><br>
<b>
Strength</b></div></div><br>
<div><div><br>
Pulling</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Pushing</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Carrying</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Lifting</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
<b>
Dexterity</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Typing</div><div><br>
F</div></div><br>
<div><div><br>
Handling</div><div><br>
F</div></div><br>
<div><div><br>
Reaching</div><div><br>
F</div></div></div><div><div><div><b><br>
Agility</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Turning</div><div><br>
F</div></div><br>
<div><div><br>
Twisting</div><div><br>
F</div></div><br>
<div><div><br>
Bending</div><div><br>
O</div></div><br>
<div><div><br>
Crouching</div><div><br>
O</div></div><br>
<div><div><br>
Balancing</div><div><br>
N</div></div><br>
<div><div><br>
Climbing</div><div><br>
N</div></div><br>
<div><div><br>
Crawling</div><div><br>
N</div></div><br>
<div><div><br>
Kneeling</div><div><br>
N</div></div></div></div></div><div></div><p><br>
The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job&rsquo;s minimum qualifications.</p>
<ul><li>This target salary range is for CA positions only and should not be interpreted as an offer of compensation.</li></ul>
You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.</div>

Lead Data Engineer

PDS Health

<div>Description:
<div>
Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!</div>
Overview:
<div>
The Risk Claims Analyst supports the Sr. Risk Manager and the Risk Department by managing and coordinating property, auto, and workers&rsquo; compensation claims while also assisting with insurance administration and reporting. This role serves as a key liaison between internal stakeholders, insurance carriers, third-party administrators, and brokers to ensure timely claim handling, accurate reporting, and effective risk management support.</div><div><br>
</div><div><b>Responsibilities</b></div><div>
Claims Management</div><ul><li>
Coordinate and manage property, auto, and workers&rsquo; compensation claims from initial reporting through resolution.</li><li>
Assist the Risk team with claims-related communications, including coordinating with carriers, adjusters, and third-party administrators.</li><li>
Track claim status, reserves, payments, and documentation to ensure accuracy and timeliness.</li><li>
Aid in claims-related communications with carriers, adjusters, and third-party administrators, and coordinate the collection of claim documentation, incident details, and supporting materials.</li></ul><div>
Insurance Administration</div><ul><li>
Process and manage requests for Certificates of Insurance (COIs) and evidence of coverage.</li><li>
Maintain and organize insurance documentation, including policies, endorsements, and coverage records.</li></ul><div>
Reporting &amp; Broker Support</div><ul><li>
Prepare and provide reports to insurance brokers and carriers as needed, including:<br>
<ul><li>
New provider additions</li><li>
Termed providers</li><li>
Statement of Values</li></ul></li><li>
Support renewal processes by gathering required data and documentation for the Sr. Risk Manager&rsquo;s review</li></ul><div>
Collaboration &amp; Support</div><ul><li>
Partner with internal teams such as Maintenance, Construction, Real Estate, Finance, Safety, HR, and Operations to support claims and insurance-related needs.</li><li>
Assist the Risk team with special projects, audits, and ad hoc reporting.</li><li>
Help identify trends, risks, and opportunities for process improvement.</li></ul><div><b>
Qualifications</b></div><ul><li><div>
Bachelor&rsquo;s degree required</div></li><li><div>
Experience in claims handling, risk management, insurance administration, or a related field preferred.</div></li><li><div>
Familiarity with property, auto, and workers&rsquo; compensation insurance lines.</div></li><li><div>
Strong organizational skills with attention to detail.</div></li><li><div>
Ability to manage multiple priorities and deadlines.</div></li><li><div>
Strong written and verbal communication skills.</div></li><li><div>
Proficiency in Microsoft Office (Excel, Word, PowerPoint).</div></li></ul><div><b>
Preferred</b></div><ul><li><div>
Any other schooling or experience that is desirable in an excellent candidate.</div></li></ul><div><b>
Knowledge/Skills/Abilities</b></div><ul><li><div>
Claims coordination and follow-up</div></li><li><div>
Insurance documentation management</div></li><li><div>
Data accuracy and reporting</div></li><li><div>
Cross-functional collaboration</div></li><li><div>
Problem-solving and accountability</div></li></ul><div><b>
Benefits</b></div><ul><li>
Medical, dental, and vision insurance</li><li>
Paid time off</li><li>
Tuition Reimbursement</li><li>
401K</li><li>
Paid time to volunteer in your local community</li></ul>
&lrm; :
<div>
PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.</div>
Salary Information: $75,000.00-$93,000.00 / Annually</div>

Analyst, Risk Claims

Skyworks Solutions, Inc.

<div>
 If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
 <br/>
 <br/>
 At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
 <br/>
 <br/>
 Requisition ID: 75764
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Skyworks Solutions is seeking a
 <strong>
  Machine Learning Engineer (MLE)
 </strong>
 to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, signal processing, and semiconductor innovation. If you&rsquo;re looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.
 <br/>
 <br/>
 Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you&rsquo;ll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a Machine Learning Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company&mdash;including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.
 <br/>
 <br/>
 <ul>
  <li>
   Predictive analytics for yield and quality improvement
  </li>
  <li>
   Optimization of circuit or device parameters
  </li>
  <li>
   RF signal modeling and anomaly detection
  </li>
  <li>
   Root-cause analysis across test and manufacturing data
  </li>
  <li>
   Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
  </li>
  <li>
   Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
  </li>
  <li>
   Work on both research-oriented prototypes and production-grade deployments.
  </li>
  <li>
   Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  </li>
  <li>
   Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
  </li>
  <li>
   Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
  </li>
  <li>
   Solid understanding of statistics, optimization, and model evaluation techniques.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
  </li>
  <li>
   Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
  </li>
  <li>
   Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
  </li>
  <li>
   Contributions to peer-reviewed research, patents, or open-source ML projects.
   <br/>
   <br/>
  </li>
 </ul>
 The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
 <br/>
 <br/>
 Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
 <br/>
 <br/>
</div>


Data Scientist

Everbank

<div><p><b>Sr. Commercial Underwriter</b><br>
The Commercial Underwriter Senior underwrites commercial real estate financing requests, including financial analysis on the collateral and related parties, reviews market conditions, and identifies the relevant risks that are appropriately mitigated relative to the organization's credit risk appetite in a recommended loan structure. This job is also responsible for constructing a credit memorandum which documents the analysis of credit data, identifies key risks and mitigating factors and makes credit recommendations which are aligned with the organization's risk appetite.
<br>
<br>
<b>Key Responsibilities and Duties</b></p>
<ul>
<li>Evaluates commercial real estate financing requests, reviews market conditions, and identifies the relevant risks that are appropriately mitigated relative to the organization's credit risk appetite in a recommended loan structure.</li>
<li>Constructs a credit memorandum that documents: the analysis of credit data and other borrower information; compliance with credit policies; comments on the alignment with the organization's risk appetite; identification of key risks and mitigating factors; discussion and defense of the risk rating.</li>
<li>Interacts with multiple internal and external parties associated with each loan, including legal and closing personnel to ensure the loan documentation correctly reflects approval terms and protects the organization and is accurately booked and funded.</li>
<li>Performs multiple tasks for separate transactions accurately in a time critical environment.</li>
<li>Gathers information as necessary to make sound decisions, which may include studying past insurance coverage and claims, finances, management, assets, and debts.</li>
<li>Monitors the collection of payment from applicants or confirmed banks which issue Letters of Credit.</li>
</ul>
<p><b>Minimum Qualifications</b></p>
<ul>
<li>3 years of prior experience as a commercial underwriter</li>
<li>Knowledge of multifamily lending</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>5-10 years of experience underwriting loans for multifamily assets</li>
<li>Prior experience reviewing and evaluating loan application package for completeness</li>
<li>Ability to perform financial analysis and commercial real estate cash flow calculations</li>
<li>Previous background analyzing borrower and key principle related tax returns and financial statements, with a focus on the underlying real estate cash flow calculations</li>
<li>Advanced skills in reviewing and analyzing various third-party documents and reports, including but not limited to, property financial statements, rent rolls, appraisals, environmental and engineering data, personal credit, title, escrow, borrowing entity structures, etc.</li>
<li>Experience partnering with loan administrators to identify title, insurance, zoning, entity or other issues that require analysis and resolution by the bank prior to approval, documentation and funding of a loan</li>
<li>Ability to partner with the production team to acquire sufficient information to make credit recommendations and to address credit concerns.</li>
<li>Strong financial analytical skills with the ability to evaluate complex financial statements and tax returns.</li>
<li>Considerable credit and underwriting background with expertise to handle diverse types of borrowing entity structures</li>
</ul>
<p><b>Educational Requirements</b></p>
<ul>
<li>University (Degree) Preferred</li>
</ul>
<p><b>Physical Requirements</b></p>
<ul>
<li>Physical Requirements: Sedentary Work</li></ul><br>
<p><br>
<b>Career Level</b><br>
7IC</p>
Requirements:
<p>Posting end date - 3/20/26</p><br>
<br>
Req Benefits:
<p>EverBank, N.A. is committed to the well-being of its associates. That's why we offer a comprehensive Total Rewards package commensurate with the position and job-related qualifications, skills and knowledge. The Company's comprehensive Total Rewards package provides choice and flexibility and respects differences. The following benefits are available through the Company:</p>
<ul>
<li>Medical, dental, vision &amp; HSA/FSA
</li><li>401(k) savings</li>
<li>Paid holidays &amp; generous PTO</li>
<li>Additional wellness &amp; voluntary benefits</li>
</ul>
<div><p><b>Additional Company-provided benefit options (subject to plan terms):</b></p>
<ul>
<li>Tuition reimbursement</li>
<li>Commuter Benefits</li>
<li>Life and Disability Insurance</li>
</ul>
</div><br>
Compensation: $112,700 - $152,400
<br>
Additional Details :
<div><p>EverBank, N.A. is a nationwide specialty bank providing high-value products and services to consumer and commercial clients nationwide. As a pioneer in online banking, we offer convenient digital access for clients 24/7, in addition to phone banking services and a network of financial centers.</p>
<p>
The Company's commitment is to deliver to our clients high-performing, high-yield solutions backed by exceptional service, always giving them the advantage they expect, to make the most of their money.</p>
<p>
VEVRAA Federal Contractor</p>
<p>
Member FDIC</p>
</div>
<div></div><div><b>Notice to Job Seekers</b></div></div>

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