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Data Analytics Lead Remote Jobs in Oregon (NOW HIRING)

This is a full-time remote opportunity. U.S. FinTech built and operates the largest and most ... market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a ...

This is a full-time remote opportunity. U.S. FinTech built and operates the largest and most ... market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ... This is not a report-building or data handoff role. This position owns marketing analytics end-to ...

This role is a remote role based in the United States. In this role, you'll play a key role in ... The ideal candidate brings strong skills in GTM analytics, data infrastructure and modeling, and ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Lead data model design, semantic layer definition, and scalable ELT architecture. * Design and ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

... remote in the U.S. As the Lead eCommerce Analyst, you will spearhead analytics strategy and ... Define and lead Direct to Consumer (DTC) eCommerce data strategy, aligning digital analytics with ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ... Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks) #LI-Remote

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

This role will leverage best practices in data modeling, visualization, and analytics to deliver ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

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Data Analytics Lead Remote information

What does a Data Analytics Lead do when working remotely?

A Data Analytics Lead working remotely is responsible for overseeing data analysis projects, managing a team of data analysts, and ensuring the delivery of actionable insights to support business decisions. They collaborate with stakeholders to define analytics goals, design data models, and implement data-driven strategies. Remote Data Analytics Leads use various digital tools to coordinate workflows, monitor project progress, and communicate findings effectively with both technical and non-technical team members. Their role is essential in driving data-centric initiatives and ensuring the accuracy and integrity of analytical results.

What is the difference between Data Analytics Lead Remote vs Data Analyst Remote?

AspectData Analytics Lead RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in leadership rolesBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeading analytics projects, managing teams, strategic planningData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsSimilar industries, often within larger teams or departments

The main difference between Data Analytics Lead Remote and Data Analyst Remote lies in their responsibilities and seniority. The Lead typically manages analytics teams and oversees strategic projects, requiring more experience and leadership skills. In contrast, Data Analysts focus on data collection, analysis, and reporting tasks. Both roles are vital in data-driven organizations, but the Lead holds a broader scope and higher level of responsibility.

What are the key skills and qualifications needed to thrive as a Data Analytics Lead in a remote setting, and why are they important?

To excel as a Data Analytics Lead remotely, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with tools like SQL, Python or R, BI platforms (such as Tableau or Power BI), and cloud data systems is crucial, along with certifications like Certified Analytics Professional or Google Data Analytics. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and translating complex data insights for stakeholders. These competencies ensure effective decision-making, seamless project execution, and impactful data-driven strategies within a remote work environment.

How does a Data Analytics Lead typically collaborate with cross-functional teams in a remote setting?

As a Data Analytics Lead working remotely, you'll frequently coordinate with stakeholders from product, engineering, marketing, and executive teams. This involves leading virtual meetings to clarify requirements, aligning on project goals, and presenting analytical findings in a clear, actionable format. You'll also mentor junior analysts, foster a collaborative team culture through digital platforms, and ensure data-driven insights are effectively integrated into business strategies. Strong communication skills and the ability to manage projects across time zones are key to success in this environment.
What cities in Oregon are hiring for Data Analytics Lead Remote jobs? Cities in Oregon with the most Data Analytics Lead Remote job openings:

$156K - $181K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Job description

OVERVIEW

The Company

U.S. Financial Technology (U.S. FinTech) is seeking an experienced Modeling & Analytics Lead to join our team of talented professionals. This is a full-time remote opportunity. 

U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.

Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.

RESPONSIBILITIES

Job InformationThe Modeling & Analytics Lead is a dynamic, self-motivated individual, able to work as a collaborative member of the Production Operations team to deliver operational excellence and to ensure all controls are executed accurately, completely and in a timely manner. They support all processes related to the issuance and ongoing administration of mortgage-backed securities while serving as a subject matter expert in one or more team functions.

Key Job Functions

  • Reverse engineer and maintain deal level payrules used to calculate multi-class securitization factors and payments
  • Onboard securities/deals to facilitate bond administration and IRS tax calculations and reporting
  • Participate in status meetings with clients and other key stakeholders
  • Collaborate with product owners and key stakeholders to identify and implement system and process improvement opportunities
  • Support internal/external audit exams
  • Develop queries, analyses, or reports from applications for operations or management staff of assigned business unit(s), or develop specifications for such queries or analyses to be performed by others
  • Lead/participate in testing and acceptance of newly developed platform functionality
  • Train and mentor more junior analysts
QUALIFICATIONS

Education   

  • Bachelors in Business Administration, Finance, technical discipline, or industry related experience.

Minimum Experience  

  • Minimum 7 years with 3 years of related experience in the Mortgage-backed Securities industry.
  • Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position.

Specialized Knowledge & Skills     

  • Knowledge of MBS and the housing finance industry
  • Strong analytical and technical skillset (e.g. SQL, VBA, C++) including Excel formulas and functions
  • Experience with Intex or related software a plus
  • Excellent communication (written and oral) and interpersonal skills
  • Strong team player and has the capacity to work collaboratively and effectively with cross functional teams in a fast-paced environment
  • Results oriented, accepting responsibilities and challenges that take them outside their comfort zone
  • Client focused
  • Ownership mentality
  • Strong risk management mindset
  • Partners well with peers, managers, and functional partners
  • Excellent time management skills and the ability to prioritize a full workload

Pay Range $156,500 to $181,000

U.S. FinTech's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate's qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits.

Employment

As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to  successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.   

U.S. Financial Technology is an Equal Opportunity Employer.

##LI-Remote

Employment Type: FULL_TIME