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Remote Data Mining Jobs in Oregon (NOW HIRING)

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Our data and research teams transform raw data into strategic intelligence, delivering accurate ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Our data and research teams transform raw data into strategic intelligence, delivering accurate ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ... Data Pipelines: Design, build, and maintain scalable ETL pipelines using Python and PySpark within ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Engineer

OR · Remote

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Remote

Lead Data Analyst

OR · Remote

$160K - $200K/yr

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Senior Data Analyst

OR · On-site +1

$80/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ...

Data Systems Analyst

$90K - $120K/yr

Job Summary The Data Systems Analyst leads the integration of various healthcare payer data and ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency $90 ...

Data Engineer - AI

$101K - $132K/yr

This includes but is not limited to managing data implementations, data integrations, data ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

Overview LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Sr. Fraud BI Analyst

OR · On-site +1

$98K - $144K/yr

However, the remote location must be within the US. How you will spend your time: * Design and ... Drive business solutions through data analytics; querying, mining, visualizing, and presenting data.

Overview The (Senior) Corporate Data Analyst is responsible for working with stakeholders all areas ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Showing results 21-40

Remote Data Mining information

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

How do I become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or a degree in a related field, can improve your prospects for remote work in this role.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

What are the most commonly searched types of Data Mining jobs in Oregon? The most popular types of Data Mining jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Mining jobs? Cities in Oregon with the most Remote Data Mining job openings:
Infographic showing various Remote Data Mining job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst, Home Lending

Upstart

OR • Remote

Full-time

Re-posted 12 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team: 

Upstart's Home Lending Legal, Regulatory, and Risk Management team plays a critical role in enabling the growth and stability of our Home Lending business. We work cross-functionally with Operations, Engineering, Product, Legal, Risk, and Compliance to ensure that Upstart's home lending activities meet regulatory standards and align with best practices. Our team is focused on building scalable, effective, and forward-looking compliance oversight that empowers business success while managing risk.

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured lending data, reporting, and risk oversight capabilities. The ideal candidate will own and support regulatory and management reporting across HMDA, CRA, Call Reporting, fair lending data, portfolio performance, and loan-level quality controls. They will help ensure our data pipelines, reconciliations, dashboards, and analytical packages are accurate, timely, and exam-ready, while partnering cross-functionally with compliance, risk, operations, and business teams in a highly regulated lending environment

How you'll make an impact

  • Own first-line secured lending data and reporting support, including regulatory reporting inputs, data integrity, reconciliations, and timely loan-level reporting
  • Lead regulatory and risk reporting for home lending, including filing our HMDA LAR, mapping Call Report feeds, tracking CRA activity, and performing loan-level quality checks on data used for fair lending and compliance testing
  • Produce risk dashboards and management reporting across portfolio, channel, geography, delinquency, vintage, concentration, and product performance
  • Maintain core data pipelines, controls, and aggregation capabilities supporting reliable product- and portfolio-level reporting
  • Provide reporting for product risk oversight, including channel, underwriting, pricing, override, and exception reporting
  • Support exams, committees, and business continuity planning through data extracts, analytical packages, reporting materials, and recovery-planning inputs
  •  

Minimum Qualifications 

  • 5+ years of experience with data collection, reporting, or compliance reporting and monitoring.
  • Strong understanding of mortgage lending operations and regulatory data requirements.
  • Excellent analytical, organizational, and problem-solving skills.
  • Ability to work cross-functionally and manage deadlines in a highly regulated environment.
  • Proficiency with loan origination, compliance, or data reporting systems.

Preferred Qualifications

  • Prior experience preparing HMDA LAR, CRA data, and Call Report submissions.
  • Familiarity with fair lending, mortgage compliance, or consumer lending compliance.
  • Experience supporting regulatory exams, audits, or compliance testing.

Position location This role is available in the following locations: Remote 

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE


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