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Data Analytics Jobs (NOW HIRING)

ONE

Data Analytics

$130K - $170K/yr

You understand credit risk analysis is more than just data: you take a comprehensive point-of-view that balances growth, losses, customer impact, and operational realities. In this role, you will:

New

Kanak Elite Services Inc

Data Analytics

Malvern, PA · On-site

TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE) RELOCATION IS FINE DURATION: INITIAL 6-12 MONTHS + OPTIONS TO EXTEND - LONG TERM CONTRACT ROLE ...

Motocol

Data analytics Architect

San Jose, CA

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

TECO

Data Analytics Architect

Tampa, FL

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Kia America

Data & Analytics Specialist

Irvine, CA · On-site

Status Exempt General Summary The Data & Analytics Specialist plays an important role in executing data analysis and delivering insights to support Kia America's Mobility and Remarketing business.

Cotality

Data Analytics

Dallas, TX · On-site

$113K - $136K/yr

Data Analysis & Insights: Perform deep-dive statistical analysis using SQL, Python, or R to identify trends and provide actionable business recommendations. * Pipeline Management (ETL): Design and ...

Mattel

Manager, Data Analytics

El Segundo, CA

The Manager, Data Analytics plays a critical role within Mattel's DTC Consumer Data & Analytics team, helping unlock the value of consumer and ecommerce data to drive business growth. This role sits ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: * Insight Generation & Strategic Analysis * Partner with business leaders ...

Mattel

Manager, Data Analytics

El Segundo, CA · On-site

The Manager, Data Analytics plays a critical role within Mattel's DTC Consumer Data & Analytics team, helping unlock the value of consumer and ecommerce data to drive business growth. This role sits ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

The Data & Analytics Specialist will be responsible for developing data concepts, analyzing data, and implementing IT systems to enhance logistics and supply chain processes. Responsibilities : • ...

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Data Analytics information

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$24

$54

$94

How much do data analytics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
More about Data Analytics jobs
What cities are hiring for Data Analytics jobs? Cities with the most Data Analytics job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics jobs? States with the most job openings for Data Analytics jobs include:
What job categories do people searching Data Analytics jobs look for? The top searched job categories for Data Analytics jobs are:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Analytics

Data Analytics

ONE

Remote

$130K - $170K/yr

Full-time

Medical, Retirement

Posted 2 days ago

Job description

About OnePay
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We're fixing it. And we're moving fast.
We're an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We're backed by Walmart, the world's largest retailer, and Ribbit Capital, one of fintech's most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don't have time to wait... and neither do we. This place moves fast, and we're looking for people who are:
  • Ready to run
  • Hungry and driven by urgency
  • Exceptional at what they do, with low ego
  • Comfortable operating in motion

The Role
As a member of the analytics team, you will bring order to vast amounts of internal and external data so OnePay can make better data-driven credit decisions, faster. You will own cross-product credit analytics and recommendations across OnePay's product suite, including credit card, point-of-sale/after-purchase financing, and cash advance, identifying signals unique to each program and ones that span the OnePay ecosystem. You will work cross-functionally to define the problem at-hand, create a framework to break it down, and leverage data to drive underwriting and portfolio strategies that create a better experience for our customers and advance business goals. To be successful, you'll need a passion for solving complex problems inherent to fintech and consumer risk, an eager-mentality to accelerate our robust customer growth, and an owner mindset in managing our portfolio performance metrics. You understand credit risk analysis is more than just data: you take a comprehensive point-of-view that balances growth, losses, customer impact, and operational realities.
In this role, you will:
  • Recommend underwriting, line/limit, and policy changes to responsibly grow approvals and usage (e.g., cutoffs, segmentation, decision logic), using internal behavior, external risk signals, and reject inference techniques.
  • Develop cross-product customer credit profiles by connecting external credit attributes to on-us behavior, and identify signals that generalize across products vs. are product-specific.
  • Drive outcomes from uncovering insights in monitoring, to recommending and executing against strategic insights.
  • Design, execute, and analyze experiments (A/B tests, holdouts, policy tests), turning results into strategic recommendations and roll-out plans.
  • Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line.
  • Dig into user behavior and "double-clicks" of the data to identify high-impact opportunities for product improvements or targeted outreach, including second-order impacts.
  • Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what's possible in product analytics.
  • Share business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.
You Bring
  • 4-7 years of professional experience in analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment.
  • Demonstrated experience across consumer underwriting strategy and/or portfolio risk analytics.
  • Advanced SQL skills with a track record of extracting and analyzing complex datasets independently.
  • Strong analytical thinking and problem-solving skills - you can go from ambiguous questions to clear insights.
  • Proven ability to work cross-functionally to translate complex data questions into practical business guidance.
  • Intellectual curiosity to look beyond the 'what' and answer the 'why'.
  • An act-like-an-owner mentality. We have a bias toward taking action.

What We Offer
  • Competitive base salary, stock options, and health benefits from Day 1
  • 401(k) plan with company match
  • Remote-friendly (US), flexible time off (FTO), and opportunities for growth
  • A high-growth, mission-driven, inclusive culture where your work has real impact

Standard Interview Process
  • Initial Interview with Talent Partner
  • Technical or Hiring Manager Interview
  • Team Interview
  • Executive Interview
  • Offer!

Equal Employment Opportunity
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

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