data analyst

Vyve Broadband

Job Summary:We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The Data Analyst will be responsible for interpreting data, analyzing results, and providing actionable insights to support business decision-making, all in a remote setting.  Responsibilities:Collect, clean, and organize large datasets from various sourcesAnalyze data to identify trends, patterns, and insightsDevelop and maintain dashboards and reports using tools like Excel, Tableau, Power BI, etc.Collaborate with cross-functional teams remotely to understand data needsPresent findings and recommendations clearly and effectively through virtual meetings and reportsIdentify areas for process improvement and data quality enhancementEnsure data accuracy and integrity Qualifications:Bachelor’s degree in Data Science, Statistics, Computer Science, or related fieldProven experience as a Data Analyst or similar roleProficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, etc.)Strong analytical and problem-solving skillsExcellent written and verbal communication skills for remote collaborationKnowledge of programming languages like Python or R is a plus Preferred Skills:Experience with big data tools (Hadoop, Spark)Familiarity with cloud platforms (AWS, Azure)Understanding of statistical methods and data modeling

Data Analyst

Jonathan Louis International

<div>Description:

The Financial Analyst is responsible for supporting the financial planning, forecasting, reporting, and analytical activities of Jonathan Louis International. This position works closely with the Director of Financial Planning &amp; Analysis and business leaders across Manufacturing, Supply Chain, Sales, Product Development, and Operations to provide financial insights that support informed business decisions.
This position develops and maintains financial models, forecasts, KPI reporting, and business intelligence tools that enable management to evaluate financial performance, identify opportunities for improvement, and achieve organizational objectives. The position requires strong analytical skills, attention to detail, and the ability to communicate financial information effectively to both finance and operational teams.
The Financial Analyst must possess a strong understanding of cost accounting principles and financial reporting processes. This position will support the analysis of labor, material, overhead, inventory valuation, freight, and product costing while ensuring financial reporting accurately reflects operational performance.
Job Responsibilities:<ul><li>Support the development of annual budgets, forecasts, long-range plans, and monthly financial projections.</li><li>Analyze actual results against budget, forecast, and prior year performance, providing clear variance explanations and actionable recommendations.</li><li>Develop and maintain financial models, business cases, profitability and cost analyses to support strategic and operational decision-making.</li><li>Prepare financial reports, KPI dashboards, and presentations to support leadership and business reviews.</li><li>Partner with Manufacturing, Supply Chain, Operations, Sales, and other business leaders to evaluate performance and identify opportunities to improve profitability and efficiency.</li><li>Analyze key business drivers, including revenue, gross margin, labor, material costs, inventory, freight, overhead, working capital, and cash flow.</li><li>Support standard costing, manufacturing variance analysis, and cost reduction initiatives to improve operational and financial performance.</li><li>Support the evaluation of capital expenditures, business initiatives, and ROI assessments through financial analysis and reporting.</li><li>Develop and enhance reporting, dashboarding, and business intelligence solutions utilizing Power BI, Excel, ERP system, and other analytical tools.</li><li>Support process improvement and reporting automation initiatives to increase efficiency, accuracy, and data-driven decision-making.</li><li>Ensure the integrity and accuracy of financial and operational data used for reporting and analysis.</li><li>Support cross-functional projects, departmental initiatives, and ad hoc analyses while collaborating with business leaders and functional teams.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in finance, Accounting, Economics, Business Administration, or related field required or MBA, CPA, CMA, or other professional certification preferred.</li><li>2-4 years of experience in Financial Planning &amp; Analysis (FP&amp;A), Cost Accounting, Corporate Finance, or related financial analysis roles. Preferably within a manufacturing environment.</li><li>Strong experience with budgeting, forecasting, variance analysis, financial modeling, pivot tables, advanced formulas, and large dataset analysis.</li><li>Strong proficiency in Microsoft Excel, including pivot tables, lookups, and financial analysis functions</li><li>Experience developing dashboards, reports, and business intelligence solutions utilizing Power BI and other analytics platforms.</li><li>Strong understanding of ERP systems and financial reporting structures, data management, and business processes.</li><li>Ability to analyze complex financial and operational data and translate findings into actionable business insights and recommendations.</li><li>Strong communication and interpersonal skills with the ability to effectively collaborate with finance and operational teams.</li><li>Demonstrated ability to manage multiple priorities, meet deadlines, and thrive in a fast-paced, results-oriented environment while maintaining a high level of accuracy and attention to detail.</li><li>Ability to maintain confidentiality, exercise sound judgment, and handle sensitive business information with discretion.</li><li>Bilingual English/Spanish preferred.</li></ul></div>

Financial Analyst

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 We are seeking a data-driven Risk Analyst to support and elevate our risk management capabilities. You will manage casualty claims directly while simultaneously leveraging analytics to drive strategic improvements across auto liability, general liability, and workers' compensation.
 
 
 This role involves leading internal and external claims processes and teams to positive results, deep-diving into claims data analysis to identify trends and improvements, enhancing risk mitigation strategies, and supporting process automation initiatives. Success requires a strong background in claims with proficiency in leveraging data to drive simple, intuitive, and actionable insights.
 
 
 This role reports to a Senior Manager within Risk Management and joins a technical risk team responsible for managing Netflix's insured and self-funded claims. The ideal candidate is a collaborative team player eager to &ldquo;roll up their sleeves&rdquo; and do hands-on work. They possess the ability to quickly build trust and effectively manage risk by working collaboratively with internal and external stakeholders.
 
 
 This is a demanding, fast-paced role within a high-performing team. The ideal candidate will exhibit curiosity, significant initiative, and a proactive approach to tackling challenges, consistently pushing for excellence in risk management.
 
 
 
 Key Responsibilities
 
 
 
 Claims Oversight &amp; Risk Mitigation
 
 
 <ul>
 <li>
 Manage WC, auto liability, and general liability claims, leading Third-Party Administrators (TPAs), insurers, and legal teams to positive results
 </li>
 <li>
 Build intuitive reports that enable analysis of claim drivers
 </li>
 <li>
 Recommend data-driven mitigation strategies to reduce claim costs, claims frequency, and improve outcomes.
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., Finance, Legal, Safety) to ensure claims data is leveraged for operational improvements.
 </li>
 <li>
 Ensure compliance with insurance program requirements
 </li>
 <li>
 Ensure compliance with Netflix reserving philosophy, approve reserves and settlements within designated authority levels, escalating high-risk cases to the Senior Manager as necessary.
 </li>
 <li>
 Review and analyze claims for delays, denials, and other potential issues, providing guidance on resolutions.
 </li>
 <li>
 Drive claim reviews and manage/lead TPA within assigned claims inventory and support overall TPA management
 
 
 </li>
 </ul>
 Return to Work (RTW) Program Support
 
 
 <ul>
 <li>
 Drives and manages RTW within assigned claims. Supports the management and success of the RTW program, ensuring compliance with relevant regulations and assisting injured employees in their transition back to work.
 </li>
 <li>
 Collaborates with HR, Safety, and Legal teams to develop and implement effective RTW strategies and policies.
 </li>
 <li>
 Manages return to work for assigned claims, communicates work restrictions, and coordinates modified duty to reduce claims costs.
 
 
 </li>
 </ul>
 Data Analytics &amp; Reporting
 
 
 <ul>
 <li>
 Extract, clean, and structure large claims datasets to improve risk visibility and decision-making.
 </li>
 <li>
 Develop and maintain interactive dashboards and reports to track claims performance, cost trends, and loss projections.
 </li>
 <li>
 Leverage data analytics tools (e.g., SQL, Tableau, Power BI, Python, Excel) to identify risk exposure, claim patterns, and cost-saving opportunities.
 </li>
 <li>
 Identify opportunities to streamline and automate claim reporting processes and ensure data integrity in risk management platforms (e.g., Origami Risk, Riskonnect).
 </li>
 <li>
 Conduct deep-dive analyses on claim frequency, severity, legal spend, and loss development.
 </li>
 <li>
 Utilize predictive modeling and trend forecasting to support proactive risk management initiatives.
 </li>
 <li>
 Familiarity with actuarial fundamentals and actuarial reports.
 
 
 </li>
 </ul>
 
 
 Collaboration with Stakeholders
 
 
 
 
 <ul>
 <li>
 Develops strong partnerships and communicates/collaborates closely with internal Netflix teams, productions, and external partners (TPAs, brokers, physicians, vendors, and payroll companies).
 </li>
 <li>
 Provides guidance and support for loss prevention matters to ensure an open, proactive, and effective loss prevention culture.
 </li>
 <li>
 Supports operational/internal customer needs.
 </li>
 <li>
 Liaison (as appropriate) between Productions and TPAs.
 </li>
 <li>
 Maintains flexibility and openness to take on additional projects as needed.
 </li>
 <li>
 Presents to cross-functional partners on an ongoing basis for updates to the program, training, etc.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Business/Finance preferred.
 </li>
 <li>
 7+ years of experience in risk management, casualty claims, and insurance (preferably with Workers&rsquo; Compensation and Auto liability exposure)
 </li>
 <li>
 Strong proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau, SQL, RMIS).
 </li>
 <li>
 Experience working with claims management systems (e.g., Origami Risk, Riskonnect, or similar)
 </li>
 <li>
 Knowledge of insurance policies, coverage interpretation, and claims handling best practices.
 </li>
 <li>
 Strong problem-solving and critical-thinking skills with a keen attention to detail.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to present complex data to stakeholders.
 </li>
 <li>
 Strong project management skills.
 </li>
 <li>
 Highly analytical, with the ability to use data to drive desired results and support intelligent risk-taking.
 </li>
 <li>
 Ability to challenge the status quo and drive change where appropriate. Thrives on change, pace, action, and accountability combined with an ability to adjust to changing priorities.
 </li>
 <li>
 Ability to support and contribute to a high-performing team and lead external TPAs to desired results. Demonstrated high level of collaboration within a claims team and broader cross-functional partners.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience on a corporate casualty/liability claims team
 </li>
 <li>
 High level of organization, and the ability to multitask and manage time effectively.
 
 
 </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000.00 - $265,000.00.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>

Senior Analyst, Casualty Claims

University of Southern California

<div>Job ID REQ20177532 Category Administrative Support</div>
 <div><div><div><div><div>The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and 
Laboratory of Neuro Imaging (INI,www.ini.usc.edu) are world leaders in the 
development of advanced computational and scientific approaches for the 
comprehensive mapping of brain structure and function. LONI&rsquo;s unique multidisciplinary 
environment and cutting edge resources allow for integration of clinical, psychological 
and genotypic information with neuroimaging phenotypes for research questions in 
neurology, psychiatry and developmental neurobiology. 
</div><div>
The Imaging Genetics Center (http://igc.ini.usc.edu) in Marina del Rey, California is 
looking for talented full-time Project Assistant to perform research including analysis of 
brain images. The 30-member team at IGC is the hub of the ENIGMA project 
(http://enigma.ini.usc.edu/), which integrates brain imaging data from 185 institutions 
around the world. We are actively involved in some of the largest-ever brain imaging 
studies of diseases such as Alzheimer's disease, HIV/AIDS, schizophrenia, depression, 
bipolar illness, and Parkinson&rsquo;s disease, studying brain scans from thousands of 
patients. We also lead or participate in numerous studies of typical development, 
genetics, traumatic brain injury, and brain connectivity. Our laboratory writes and 
applies novel computational algorithms to study how major psychiatric and neurological 
diseases affect brain structure, function, and connectivity. 
</div><div>
Job Function 
The Project Assistant will be in charge of pre/post-processing raw imaging data (MRI, 
DTI, etc.) and will assess advanced brain features in a range of psychiatric, neurological 
and developmental disorders. Some projects will involve implementing advanced 
statistical models including machine learning and deep learning methods to large-scale 
brain imaging datasets and biobank data.
</div><div></div><div>The Project Assistant will: 
Apply expertise to a range of image processing, curation, quality control, and 
computational tools (i.e., FSL, FreeSurfer). Use shell scripting on a regular basis. 
Work with the wider lab team to develop realistic but challenging timelines 
</div><div>
Preferred Qualifications 
The successful applicant will be a reliable, independent worker with a bachelor&rsquo;s or 
master&rsquo;s degree in (bio)engineering, computer science, math, statistics, neuroscience, 
data science, or a related field is preferred.</div></div><div></div><div><div>
Computer programming skills in Matlab, Python, R, C++, shell scripting and knowledge 
of image analysis software such as FSL or SPM are preferred 
</div><div>
Knowledge of advanced statistics or genetics is a plus 
</div><div>
This full-time position is ideal for candidates looking to spend a couple of years doing 
neuroimaging research before medical school or an advanced graduate degree. 
</div><div>
Preferred Education 
Master&rsquo;s degree in applied statistics or a related field.</div><div> 
Minimum Education: High school or equivalent 
Minimum Experience: 1 year Minimum 
Field of Expertise: Knowledge of neuroscience/neuroimaging data collection procedures 
and some experience with proposal preparation and production of technical documents</div><div></div><div>
The hourly rate range for this position is $25.96- $30.00. When extending an offer of 
employment, the University of Southern California considers factors such as (but not limited 
to) the scope and responsibilities of the position, the candidate&rsquo;s work experience, 
education/training, key skills, internal peer equity, federal, state, and local laws, contractual 
stipulations, grant funding, as well as external market and organizational considerations.</div></div></div></div> 
<div></div>
Minimum Education: High school or equivalent Minimum Experience: 1 year Minimum Field of Expertise: Knowledge of data collection procedures and some experience with proposal preparation and production of technical documents
<div>Job ID REQ20177532 Posted Date 07/09/2026</div></div>

Project Assistant

Aiden Auto

Research Assistant / Network Administrator / Data Survey (Remote) Job Summary We are seeking a detail-oriented and organized professional to support research activities, maintain network systems, and collect, analyze, and manage survey data. This fully remote position requires strong analytical, technical, and communication skills. Key Responsibilities Conduct online and database research to gather accurate information.Design, distribute, and manage online surveys.Collect, clean, organize, and analyze research and survey data.Prepare reports, presentations, and research summaries.Maintain databases and ensure data accuracy.Monitor and troubleshoot network systems and connectivity issues.Configure user accounts, permissions, and network security settings.Maintain documentation of IT systems and research processes.Collaborate with cross-functional teams to complete projects on schedule. Qualifications Knowledge of networking concepts (TCP/IP, DNS, VPN, routers, firewalls).Familiarity with Microsoft Office or Google Workspace.Experience using Excel, SQL, SPSS, R, Python, or Power BI is a plus.Strong analytical and problem-solving skills.Excellent written and verbal communication skills.Ability to work independently in a remote environment. Preferred Skills Data entry and database managementSurvey design using tools like Qualtrics, SurveyMonkey, or Google FormsStatistical analysisNetwork troubleshootingCybersecurity awarenessTime management and multitaskingAttention to detailTypical Salary (U.S.)

Research Assistant / Network Administrator / Data Survey (Remote)

Metropolis

<div><h3 class="jobSectionHeader">Who we are</h3>

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
<h3 class="jobSectionHeader">
Who you are</h3>

Metropolis is seeking a Revenue Economics Analyst to join our revenue engine at a pivotal moment in the company's growth. In this role, you will evaluate deal structure, shape pricing strategy, and build sophisticated financial models that directly inform how we scale. This is a high-impact, cross-functional position embedded within our Revenue Operations organization, working hand-in-hand with Sales leadership and our SVPs of Sales to drive GTM performance. You will serve as a trusted analytical partner&mdash;translating complex data into clear, actionable insights that inform margin decisions, revenue outcomes, capital planning, and overall deal health. If you are energized by solving hard problems at the intersection of finance, strategy, and sales operations, this role is for you.
<h3 class="jobSectionHeader">
What you'll do</h3>
<ul><li>Build and review proformas for organic and existing deals across our national portfolio, ensuring financial rigor and strategic alignment</li>
<li>Develop and expand underwriting models by integrating internal and external data insights, enabling sales leaders to execute more informed GTM strategies</li>
<li>Quantify and communicate the tangible impact of Metropolis technology for clients and internal stakeholders, turning data into compelling business cases</li>
<li> Collaborate directly with sales and operations leaders to establish best practices for underwriting and asset management</li>
<li> Stress test asset performance against potential macro and micro economic scenarios, surfacing risks and opportunities proactively</li>
<li> Implement automation solutions that streamline workflows and increase GTM efficiency across the revenue organization</li>
<li>Lead ad-hoc analyses, reports, and projects that support revenue generation and strategic decision-making</li>
<li>Translate GTM insights into cross-functional recommendations that inform strategy at every level of the organization</li>
<li>Drive continuous improvement and innovation, contributing meaningfully to the company's growth and competitive positioning</li>
</ul><h3 class="jobSectionHeader">What we're looking for</h3>
<ul><li>Proven experience working across complex sales cycles and workflows, with an understanding of how revenue organizations operate</li>
<li>Progressive accounting and finance background, including hands-on experience reviewing and interpreting P&amp;L statements</li>
<li>Strong financial modeling skills with the ability to transform and synthesize data across multiple sources using leading visualization platforms</li>
<li>Exceptional analytical and problem-solving ability&mdash;you can translate complex datasets into clear, actionable insights</li>
<li>Outstanding communication and interpersonal skills, with a track record of collaborating effectively across departments and seniority levels</li>
<li>Proficiency with Salesforce, Tableau, and other automation tools used to improve process efficiency and reporting accuracy</li>
<li>A growth mindset and intellectual curiosity&mdash;you are energized by ambiguity and motivated to build scalable solutions in a fast-moving environment</li>
<li>Experience leveraging AI tools to transform static workflows into responsive, high-output processes</li>
</ul>
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $85,000.00 USD to $95,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-KD1 #LI-Onsite<div>
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.</div></div>

Revenue Economics Analyst

Fox Corporation

<div>OVERVIEW OF THE COMPANY
Fox Corporation
Under the FOX banner, we produce and distribute content through some of the world&rsquo;s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.<h2 class="jobSectionHeader">
JOB DESCRIPTION</h2>
AdRise, FOX's advertising technology platform, is looking for a Senior Data Engineer to design and own the data infrastructure powering ad delivery, audience analytics, identity resolution, and campaign measurement at scale. You'll work across Databricks, Snowflake, and AWS to build pipelines that are fast, reliable, and built to last &mdash; and you'll serve as a technical anchor for the broader data engineering team, raising the bar on architecture, code quality, and operational standards.
This is a high-ownership role for an engineer who wants to solve hard data problems, influence platform-level decisions, and directly shape the systems that drive a large-scale streaming ad business.
A SNAPSHOT OF YOUR RESPONSIBILITIES
Technical Leadership<ul><li>
Serve as a senior technical voice on the team &mdash; driving architecture decisions, establishing engineering standards, and leading design reviews</li><li>
Mentor and provide technical guidance to mid-level and junior engineers; participate in code review and raise overall team craft</li><li>
Identify and drive improvements to existing systems &mdash; performance, reliability, cost, and maintainability</li></ul>
Pipeline &amp; Platform Engineering<ul><li>
Architect, build, and own complex ETL/ELT pipelines that ingest, transform, and deliver large-scale ad event, identity, and campaign data</li><li>
Design and optimize data models in Databricks (Delta Lake) and Snowflake for performance, cost efficiency, and downstream usability</li><li>
Build and operate real-time and event-driven data flows using Kafka, Kinesis, and AWS-native services (Glue, Lambda, S3, API Gateway)</li><li>
Implement CDC patterns and streaming ingestion to support low-latency analytics and operational data products</li></ul>
Data Quality, Governance &amp; Observability<ul><li>
Build and maintain data quality frameworks, validation layers, and alerting pipelines using Datadog and Airflow/Astronomer</li><li>
Champion data governance standards &mdash; lineage, cataloging, access controls &mdash; within Unity Catalog and across the platform</li><li>
Ensure systems are well-documented, observable, and operationally sound</li></ul>
Cross-Functional Collaboration<ul><li>
Partner with data analysts, analytics engineers, and ML/data science teams to translate requirements into durable data products</li><li>
Collaborate with platform and infrastructure engineers on shared systems, pipeline dependencies, and cost optimization</li><li>
Interface with stakeholders to define data contracts, SLAs, and schema standards</li></ul>
WHAT YOU WILL NEED<ul><li>
7+ years of hands-on data engineering experience, with depth in pipeline architecture, data modeling, and large-scale data systems</li><li>
Advanced proficiency in Databricks (Delta Lake, Unity Catalog, Workflows) and Snowflake</li><li>
Strong Python skills; Scala a plus</li><li>
Solid experience with AWS data services: Kinesis, S3, Glue, Lambda, API Gateway</li><li>
Experience with real-time / event-driven architectures (Kafka, Kinesis, or equivalent)</li><li>
Working knowledge of Airflow or Astronomer for orchestration</li><li>
Familiarity with Datadog or comparable observability tooling for data pipelines</li><li>
Demonstrated ability to own systems end-to-end &mdash; from design through production operations</li><li>
Strong communication skills; able to articulate technical tradeoffs to both engineering and non-engineering stakeholders</li></ul>
NICE TO HAVE, BUT NOT A DEALBREAKER<ul><li>
Experience in digital advertising, connected TV, or streaming media &mdash; ad delivery, identity graphs, audience segmentation, or campaign measurement</li><li>
Experience with identity resolution systems (UID2, HEM, or similar)</li><li>
CI/CD for data pipelines and infrastructure-as-code (CDK or Terraform)</li><li>
Familiarity with dbt or analytics engineering patterns</li><li>
Agile/Kanban experience in a data or platform engineering environment</li></ul>
WHY JOIN ADRISE<ul><li>
Own meaningful infrastructure in a high-scale, real-time ad tech environment powering FOX's connected TV business</li><li>
Work with a modern, cloud-native stack &mdash; Databricks, Delta Lake, Kafka, Kinesis, AWS &mdash; with real investment behind it</li><li>
Collaborate with a team that values engineering rigor, documentation, and building systems that last</li><li>
Be part of a platform that sits at the intersection of identity, audience, and programmatic advertising &mdash; a genuinely interesting problem space</li></ul>
#Ll-Hybrid
#Ll-JT1
Learn more about Fox Tech at https://tech.fox.com
#foxtech
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-170,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.</div>

Senior Data Engineer

Explore 38+ Data analyst in Los Angeles this July. Find roles across top companies and apply now to boost your career.