Data Analytics Remote

Remote Data Analytics Jobs

390 jobs found

Include remote jobs

All (645) 🌍 Worldwide (176) 🇺🇸 US (444) 📍 Location-specific (25)

2mo ago

Analytics Engineer

Ontic Technologies Remote 🇺🇸 Remote

Remote

2mo ago Closed

$95k - $105k/yr Full time Cloud Data Warehouse Data Analytics Data Architecture

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Ontic Technologies is hiring a hands-on R&D Analytics Engineer to build and scale the data and AI foundation for its enterprise SaaS business.

Responsibilities

Design and maintain scalable dbt data models in Snowflake as trusted sources of truth
Architect data pipelines and transformation workflows using Fivetran and modern ELT practices
Create durable, extensible data assets that continue to evolve as the company scales
Define modeling standards, documentation practices, and governance frameworks
Partner with RevOps and Finance to define and operationalize core SaaS metrics such as ARR, retention, expansion, and pipeline
Build data foundations that support internal AI applications and LLM-enabled workflows
Prototype and productionize AI-driven operational use cases
Integrate analytics and AI into day-to-day workflows using tools such as Notion, Cursor, Glean, and other emerging platforms
Design systems that embed data directly into operational processes rather than dashboards only
Collaborate with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems
Create reusable data assets that enable activation via Hightouch and analysis via Omni
Ensure architecture remains scalable, secure, and adaptable to changing enterprise requirements

Requirements

Experience in analytics engineering, data engineering, or similar hands-on roles
Strong SQL skills and deep understanding of modern data modeling concepts such as dimensional modeling, transformations, and data contracts
Experience working with cloud data warehouses including Snowflake, and familiarity with BigQuery and Redshift
Comfort working in a fast-moving, evolving AI tooling landscape
Systems-level thinking focused on scalability, extensibility, and flexibility
Natural curiosity and energy for solving ambiguous problems
Strong ownership of clean, durable architecture, not quick fixes
Ability to communicate effectively and collaborate across business and technical teams

Technologies

dbt, Snowflake, Fivetran, ELT, Hightouch, Omni
Notion, Cursor, Glean
SQL, BigQuery, Redshift

Benefits

Competitive salary
Medical, Vision & Dental benefits
401k
Stock options
HSA contribution
Learning stipend
Flexible PTO policy
Quarterly company ME (mental escape) days
Generous Parental Leave policy
Home office stipend
Mobile phone reimbursement
Home internet reimbursement for remote employees
Anniversary & milestone celebrations
Offers bonus

Details

Location: Remote, United States
Employment type: Full time
Department: Operations
Compensation: $95K - $105K per year (offers bonus)

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2mo ago

Healthcare Navigation Data Scientist

Alight Round Lake, IL 🇺🇸 Remote

Round Lake, IL

2mo ago Closed

$100k - $135k/yr Full time Data Analysis Data Analytics Data Integration

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Alight is seeking a Healthcare Navigation Data Scientist to strengthen provider search, recommendation, and value measurement capabilities within its Health Navigation platform. The role applies healthcare data analysis, predictive modeling, and analytics to improve provider recommendations, identify cost and utilization insights, and support measurable client value.

Responsibilities

Analyze healthcare and book-of-business data to uncover cost drivers, utilization trends, and opportunities to improve member outcomes while reducing healthcare spend.
Develop and enhance provider scoring, ranking, and recommendation approaches, including methods that consider cost, quality, specialty alignment, and provider experience.
Integrate and transform complex healthcare datasets, including claims, provider, pricing, and network data, to enable analytics and modeling initiatives.
Build, validate, and optimize statistical, predictive, and machine learning models that improve provider search relevance and personalization.
Assess business rules, scoring outputs, and recommendation performance to ensure alignment with clinical and business objectives.
Track key performance metrics, identify continuous improvement opportunities, and recommend enhancements to data sources, models, and processes.
Collaborate cross-functionally with Product, Engineering, Clinical, and Business teams to convert analytical insights into actionable solutions and measurable business value.

Requirements

Experience working with large, complex datasets using SQL and Python and/or R.
Experience building data models, scoring frameworks, predictive analytics, or machine learning solutions.
Knowledge of healthcare datasets and concepts, including claims data, CPT, ICD, NPI, provider networks, and healthcare pricing.
Understanding of healthcare cost drivers, utilization analytics, quality measures, and provider performance metrics.
Analytical, problem-solving, and communication skills with the ability to translate complex findings into business insights.
Experience with provider search, recommendation systems, ranking models, or personalization algorithms.
Knowledge of clinical quality measures such as HEDIS, CMS, or related healthcare standards.
Experience applying machine learning techniques in healthcare, health technology, or navigation contexts.
Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field.
Advanced degree preferred.

Technologies

SQL
Python
R
Machine learning

Compensation

Salary pay range: USD 100,000 - 135,000 per year
Minimum: 100,000.00 USD
Maximum: 135,000.00 USD

Benefits

Health, dental and vision coverages starting Day One
Wellbeing programs
Retirement plans with contribution matching
Generous time off
Parental leave
Continuing education
Career growth opportunities
Competitive total rewards package
Continuing education & training

Application and Interview Details

Background check consistent with Alight’s employment policies may include SSN/SIN validation, education verification, employment verification, and criminal check, plus search against global sanctions and government watch lists, credit check, and/or drug test.
Virtual interviews must be conducted on video.
May require occasional travel to one of Alight’s physical office locations.

Location

Illinois (remote)

Authorization to Work

Applicants must have work authorization that does not, now or in the future, require sponsorship of a visa for employment authorization in the Employing Country and with Alight.

Our Commitment to Inclusion

Alight will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, contact alightcareers@alight.com.

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2mo ago

Data Scientist

Delan Associates, Inc Remote 🌍 Remote

Remote

2mo ago Closed

Full time Business Analytics Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Delan Associates, Inc is hiring a Data Scientist to support a large-scale data integration initiative. This remote role centers on evaluating and validating new data sources, maintaining data quality, uncovering insights, and communicating results to both technical and business stakeholders.

Responsibilities

Analyze, validate, and assess new data sources to identify trends, patterns, and opportunities for business insight.
Develop data-driven recommendations and present findings to stakeholders.
Partner with cross-functional teams to understand business requirements and translate them into analytical solutions.
Maintain data quality, integrity, and consistency across multiple data sources.
Support ongoing reporting, data exploration, and strategic initiatives.
Communicate analytical findings and project updates to leadership and business partners.
Evaluate and analyze new data sources to support ongoing business initiatives.
Collaborate with stakeholders to understand data needs and deliver actionable insights.
Perform data exploration, validation, and reporting activities.
Present findings, recommendations, and progress updates to project teams and leadership.
Support strategic data initiatives using analytical expertise and data-driven decision making.

Requirements

Proven experience as a Data Scientist or in a similar analytical role.
Strong expertise in data analysis, statistical modeling, and data interpretation.
Experience working with large and complex datasets.
Ability to translate business problems into actionable analytical solutions.
Strong problem-solving and critical-thinking skills.

Preferred Qualifications

Experience in the telecommunications, cable/media, or advertising industries.
Experience evaluating and integrating new or emerging data sources.
Familiarity with modern data platforms, reporting tools, and data visualization techniques.

Soft Skills

Excellent verbal and written communication skills.
Highly responsive, dependable, and accountable.
Strong attention to detail and commitment to quality.
Self-motivated with the ability to work independently and manage multiple priorities.
Collaborative team player who works effectively with both technical and business stakeholders.

Day-to-Day Activities

Evaluate and analyze new data sources to support ongoing business initiatives.
Collaborate with stakeholders to understand data needs and deliver actionable insights.
Perform data exploration, validation, and reporting activities.
Present findings, recommendations, and progress updates to project teams and leadership.
Support strategic data initiatives through analytical expertise and data-driven decision making.

Location

Remote

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2mo ago

Data Scientist - Trust & Safety

Rula Los Angeles, CA 🇺🇸 Remote

Los Angeles, CA

2mo ago Closed

$166k - $193k/yr Full time Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Rula is building a new Trust and Safety function and needs a Data Scientist to be a central technical resource for protecting the platform. This role focuses on evaluating healthcare claims, analyzing billing signals, and turning data findings into analytics that legal and compliance partners can use to support regulatory standards.

This position is based in Los Angeles, CA with remote work options for candidates located in the United States. The salary range for the role is USD 166,000 - 192,850 per year, and the position requires 5+ years of relevant experience.

What you’ll do

Act as the core technical data expert responsible for protecting the platform, evaluating healthcare claims, and supporting operations aligned with regulatory expectations.
Review billing patterns, identify data anomalies, and produce clear analytics for legal and compliance partners.
Use advanced data querying skills along with a strong understanding of medical coding frameworks to work safely within large, complex datasets.
Build proactive models and protective guardrails intended to safeguard legal standing, protect patient care, and support secure business operations.
Report directly into the Sr. Analytics Manager of Business Intelligence.

What you bring

5+ years of professional experience in analytics, data science, or forensic data investigation.
Expert-level SQL and Python/R proficiency for querying large datasets, building data logic, and identifying systemic anomalies.
Demonstrated expertise with data visualization tools such as Looker, Tableau, Hex, or Mode to create automated risk-monitoring pipelines and compliance dashboards.
Strong data storytelling, including a track record of translating complex technical findings into clear risk assessments for non-technical leadership and legal partners.
Experience with data integrity auditing, including investigating discrepancies, gaps, or historical anomalies across complex data infrastructure.

Tools and frameworks

SQL, Python, R, Looker, Tableau, Hex, Mode, CPT, ICD-10, HCPCS.

Benefits

100% remote environment, with support for work-life balance (must be based in the United States; currently not hiring in Hawaii).
Transparent pay and benefits, with full visibility of pay ranges across the United States.
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA.
401(k) plan access.
Generous time off, including two company-wide shutdown weeks each year for self-care (for most employees).
Paid parental leave for all parents, including birthing, non-birthing, adopting, and fostering.
Employee Assistance Program (EAP) for mental and physical health support.
Quarterly department stipend for team-building activities or in-person gatherings.
Community and employee resource groups that support identity and lived experiences.
Home office stipend, including a new hire home office stipend plus a $50 monthly stipend for internet or cell phone expenses.
Wellness at Rula program with year-round initiatives and a $50/month wellness stipend.

Preferred qualifications

Prior experience working directly in healthcare compliance, legal operations, or Trust & Safety (for example, auditing for fraud, waste, and abuse).
Strong familiarity with medical coding frameworks (such as CPT, ICD-10, or HCPCS) and health insurance reimbursement pipelines.
Experience working with healthcare claims data, including insurance claims, billing records, or electronic health records.
Experience in fast-paced, high-growth startups with the ability to manage dynamic, ambiguous analytical priorities and build frameworks from scratch.
Proven ability to connect analytics insights to corporate risk mitigation strategy, proactively informing operational safeguards and platform guardrails.

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2mo ago

Data Scientist

Bold Penguin, Inc. Remote 🌍 Remote

Remote

2mo ago Closed

$87k - $134k/yr Full time Amazon Bedrock Amazon Web Services Artificial Intelligence

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Bold Penguin, Inc. is hiring a Data Scientist to design and deploy intelligent insurance AI systems that bring Generative AI together with Quantitative Finance. This remote role centers on building optimization-driven solutions, retrieval-augmented intelligence, and agentic workflows, with an emphasis on rigorous statistical validation and production-ready cloud deployment.

What you’ll do

Use mathematical optimization and portfolio theory to address complex resource allocation and market placement problems.
Build Retrieval-Augmented Generation (RAG) pipelines and manage vector databases to deliver real-time, context-aware intelligence.
Design and implement multi-agent systems and orchestration layers to automate complex, multi-step financial workflows.
Assess model performance using advanced statistical techniques to support accuracy in high-stakes financial settings.
Leverage AWS SageMaker and Bedrock to build, train, and scale machine learning models and agentic tools.
Own end-to-end data pipelines, from cleaning unstructured financial data to retraining models to mitigate bias and maintain high-fidelity market insights.

What you bring

A Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field (including examples such as Financial Engineering).
3 to 5 years of experience as a Data Scientist, with preference for backgrounds in Financial Services, FinTech, or Property Risk Analytics.
Proven experience with Large Language Models (LLMs), agentic orchestration, and RAG architectures.
Strong foundation in optimization algorithms, statistical analysis, and machine learning principles.
Strong Python skills and familiarity with AWS SageMaker and Bedrock.
Experience with enterprise data science platforms such as RapidMiner (Altair) for automating financial data pipelines and risk modeling.
Exceptional analytical skills, with a focus on attention to detail and data integrity.
Strong communication skills and the ability to collaborate effectively across technical and product teams.

Technologies

Python
AWS SageMaker
Bedrock
Retrieval-Augmented Generation (RAG)
Vector databases
Large Language Models (LLMs)
RapidMiner (Altair)

Compensation and location

Location: Remote (remote). Onboarding and optional in-office events may be required.

Salary: USD 86,500 - 134,300 per year.

Benefits

Medical, Dental, and Vision
Flexible PTO Policy
401(k) with a company match
Employee Assistance Program
Parental Leave
Disability and Life Benefits

Work environment and accessibility notes

Must be able to sit/stand/walk for prolonged periods (up to 8 hours per day) at a desk working on a computer.
Must be able to use standard office equipment for extended periods, including a mouse, keyboard, phone, and video conferencing tools.

Culture

Great Slack channels for work and play.
Regular video conferences and company all-hands sessions called Waddles.

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2mo ago

Senior Data Scientist

USA TODAY Co. Remote 🌍 Remote

Remote

2mo ago Closed

$115k - $120k/yr Full time Senior Artificial Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

USA TODAY Co. is seeking a Senior Data Scientist to join its product organization in a remote role. You will help steer product strategy using rigorous reporting, deep-dive analysis, and predictive or prescriptive modeling, with a focused emphasis on metrics and AI data initiatives.

In this position, you will collaborate closely with Product, Engineering, Analytics, and business stakeholders to define success measures, evaluate product and feature changes, and translate complex results into clear recommendations that support roadmap and investment decisions.

What you’ll do

Partner with Product Managers, Engineers, and cross-functional stakeholders to answer strategic product questions using reporting, analysis, deep dives, and predictive or prescriptive modeling.
Forecast business outcomes and identify opportunities to improve product performance.
Define, maintain, and improve key product metrics, dashboards, and monitoring frameworks used to assess product performance and business impact.
Apply machine learning to customer behavior and engagement, including retention, churn, propensity scoring, segmentation, recommendation systems, and personalization initiatives.
Evaluate product launches, feature changes, and AI-enabled initiatives by measuring outcomes against success metrics and communicating recommendations.
Support experimentation and measurement design, including hypothesis development, test readouts, and post-launch evaluations where applicable.
Build scalable modeling, reporting, and self-service analytics assets to improve decision-making speed and consistency across the product organization.
Work with data engineering and platform teams to improve data quality, instrumentation, metric definitions, and the reliability of reporting pipelines.
Translate complex findings into concise narratives, presentations, and recommendations for both technical and non-technical stakeholders.
Support AI data initiatives by helping build and evaluate models, measure features, and create analytics frameworks that assess customer and business impact.

What you bring

Bachelor’s degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Engineering, or a related discipline (advanced degree preferred).
5+ years of experience in data science, product analytics, decision science, or a closely related analytics role supporting product teams.
Strong SQL skills and proficiency in Python for data analysis, statistical modeling, predictive modeling, and data exploration.
Experience with PyTorch, scikit-learn, and other machine learning frameworks to build, evaluate, and deploy models.
Knowledge of feature engineering, model selection, cross-validation, hyperparameter tuning, and performance evaluation.
Experience developing dashboards and visualizations for executive reporting and day-to-day product decisions.
Strong understanding of product metrics, experimentation, hypothesis testing, and statistical analysis.
Experience working with large, messy, multi-source datasets to produce actionable recommendations.
Excellent communication skills, including the ability to explain technical findings in plain language and influence stakeholders using data.
Experience supporting AI or ML-related product initiatives, model evaluations, or measurement frameworks is preferred.

Technologies

SQL
Python
PyTorch
scikit-learn

Additional preferred experience

Experience in media, ad tech, mar tech, digital subscriptions, marketplaces, or other product-led businesses.
Experience in cloud data environments and product instrumentation best practices.
Experience working in highly cross-functional environments where priorities shift quickly and decision support is critical.

Compensation and logistics

Job family: Enterprise Data Management
Job function: Data Science
Pay type: Salary
Annual base salary range: USD 115,000 - 120,000
Location: Remote ( #LI-REMOTE, #LI-NR2 )
Applicants must be authorized to work in the applicable location.

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2mo ago

Junior Data Scientist

Wpromote Remote 🌍 Remote

Remote

2mo ago Closed

$88k - $100k/yr Full time Bigquery Business Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Wpromote is seeking a Junior Data Scientist to support data processing, model maintenance, and analytics reporting while building proficiency in advanced data science techniques. The role works closely with teams across Engineering, Reporting, Product, Paid Media, and Data Science to deliver client-facing insights.

Responsibilities

Learn to transform, improve, and integrate data in line with business requirements.
Plan and scope end-to-end data analysis projects by defining the business problem and selecting investigative tests and solutions.
Use SQL and BigQuery to combine and prepare datasets from multiple sources.
Present data clearly and effectively for both technical and non-technical audiences, including visually appealing delivery.
Support the maintenance of existing media-mix models through directed retrains and reporting on performance changes.
Organize and collect results from media-mix models, incrementality tests, clean rooms, and related analyses to support Wpromote’s learning culture.
Conduct guided marketing analyses to support client and internal needs.
Assist with presentations by preparing data pulls, performing ad-hoc analyses, and creating slides.
Learn to automate data gathering, blending, and transformation workflows.
Collaborate cross-functionally with Engineering, Reporting, Product, Paid Media, and Data Science to understand and support client needs.

Requirements

Intermediate R or Python skills for data cleaning, data modeling, pipeline development, API calls, and related tasks.
Experience with statistical modeling, machine learning techniques, and LLMs.
Intermediate SQL, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging.
Advanced proficiency in Excel and/or Google Sheets.
Experience with at least one BI platform (Looker, Tableau, Power BI, etc.), with the ability to learn others; Looker preferred.
Experience or familiarity with version control tools such as Git or Bitbucket.
Strong organizational skills to balance competing client requests while working with complex datasets with accuracy and deadline focus.
Intermediate to advanced knowledge of statistics, probability, and linear algebra.
Strong communication skills, including experience creating and delivering presentations and executive summaries.
Demonstrated critical thinking through analysis of numbers, trends, and data to form meaningful insights.
Interest or passion for marketing analytics and/or a portfolio of personal projects.
Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.).

Technologies

R
Python
SQL
BigQuery
Excel
Google Sheets
Looker
Tableau
Power BI
Git
Bitbucket
LLMs

Benefits

Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance
Annual Class Pass Credits and more!

Nice to Have

Bachelor’s degree or higher in a quantitative field.
Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring.
Experience with analytics software, such as Google Analytics and Adobe Analytics.
Familiarity with clean room environments (FBAA, AMC, Google ADH).
Experience with cloud computing (AWS, GCP, Azure, etc.).

Job Details

Location: Remote (remote)

Compensation: USD 88,000 - 100,000 per yearly

Education: Associate’s degree or bootcamp certification, or practical work experience in a quantitative field

Important Notice: Beware of Job Scams

Wpromote recruiting communications will only be sent through official channels via wpromote.com email addresses.
If a posting is not reflected on Wpromote.com/careers, it may be fraudulent.
Wpromote does not require payment or fees during the hiring process.
Wpromote does not request sensitive information, such as Social Security numbers or payment details.
Please safeguard yourself against possible scams and contact Wpromote if you encounter suspicious activity.