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Remote Data Analyst Hybrid Jobs (NOW HIRING)

This role offers both a remote and hybrid option. Employees located within 30 miles of Plano TX, ... Requirements * 2 to 4 years in a data analyst or business intelligence role where you owned metrics ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

$88K - $112K/yr

Did we mention we're fully remote? We found that life is just better with a fully remote workforce ... If you are in the SoCal area, it's a great option if you are looking for more of a hybrid schedule ...

Credit Card Data Analyst Location: Mclean, VA, Richmond, VA and Plano, TX (Try for Local) (Open ... for Remote As well) Relocation is accepted as well/ Remote (CST Time Zone) Hybrid Location if ...

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

Senior Data Analyst - Remote

Madison, MS · Remote

$89K - $155K/yr

The Senior Data Analyst will help shape the future of employer services, with a focus on HR ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Senior Data Analyst

Atlanta, GA · Remote

$115K - $145K/yr

Senior Data Analyst HYBRID- MUST WORK EST( Eastern Standard Time, United States) About Tillster Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement ...

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Remote Data Analyst Hybrid information

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$34K

$82.6K

$136K

How much do remote data analyst hybrid jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote data analyst hybrid in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Analyst Hybrid vs Remote Data Scientist?

AspectRemote Data Analyst HybridRemote Data Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPartially remote, often in office and home; collaborative teamsPrimarily remote; independent research and complex analysis
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, research institutions, AI companies

Remote Data Analyst Hybrid roles focus on analyzing data using tools like Excel and SQL, often in a hybrid work setting. Remote Data Scientists handle advanced modeling and machine learning, typically working fully remotely. Both roles require strong analytical skills but differ in complexity and technical depth.

What cities are hiring for Remote Data Analyst Hybrid jobs? Cities with the most Remote Data Analyst Hybrid job openings:
What are the most commonly searched types of Data Analyst Hybrid jobs? The most popular types of Data Analyst Hybrid jobs are:
What states have the most Remote Data Analyst Hybrid jobs? States with the most job openings for Remote Data Analyst Hybrid jobs include:
Data Analyst

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

About the job:
You will own the analytics function for Tapcheck's Customer Support organization. Your job is to make sure Support leadership always has a clear, credible picture of how the team is performing and what the data says they should do about it. That means maintaining the standards for what gets measured, keeping the dashboards and frameworks that surface those metrics accurate, and producing the analyses that drive real decisions on strategy, investment, and priorities.
The right candidate is comfortable working with ambiguity, can scope their own problems, and knows the difference between producing a report and driving a decision.
This role offers both a remote and hybrid option. Employees located within 30 miles of Plano TX, are required to be in-office Tuesday through Thursday each week.
If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID, IL, LA, MI, MA, MO, NC, NH, NJ, NV, NY, PA, OR, OH, RI, SC, TX, UT, VA, WA, WI.
What You'll Do:
  • Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
  • Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
  • Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
  • Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
  • Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
  • Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
  • Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

Where your work starts and stops:
  • You own the business analytics layer: maintaining KPI standards, keeping dashboards accurate, and producing performance trend analysis. You hand off data pipeline engineering, schema changes, and infrastructure work to Data Engineering.
  • You identify where automation or AI tooling could reduce Support volume and quantify the potential impact. You hand off the design, build, and deployment of those tools to the Enablement team.
  • You surface VOC and customer experience signals that live in Support's data. You hand off VOC program management and external reputation response to the Reputation Manager function.
  • You produce the analysis behind staffing and investment recommendations. You do not make headcount decisions or approve spend; those decisions belong to Support leadership.
  • You do not own QA testing, regression validation, or system performance auditing. Those responsibilities sit with Engineering and QA.

Who you'll work with:
  • Support Operations and Support leadership: your primary stakeholders for analysis requests, metric sign-off, and performance reviews.
  • Data Engineering: shared pipeline standards, Snowflake modeling, and Omni semantic layer alignment.
  • Product: translating Support trends into product signals and prioritization input.
  • Enablement: automation and AI decisions that reduce support contact volume, where your quantification informs their build decisions.

What You'll Bring:
Requirements
  • 2 to 4 years in a data analyst or business intelligence role where you owned metrics end-to-end: definition, calculation, documentation, and storytelling.
  • SQL proficiency including CTEs, window functions, and query optimization; you can get to an answer without waiting on someone else to pull data for you.
  • Hands-on experience building and managing dashboards in a modern BI tool (Looker, Tableau, Power BI, or similar).
  • Demonstrated ability to communicate complex findings to non-technical audiences; leadership should leave your presentations knowing what to do, not just what happened.
  • Comfortable scoping your own work: you can take an ambiguous business question, decide on methodology, and drive a recommendation without close direction.

Preferred
  • Experience in fintech, SaaS, or customer support operations environments.
  • Familiarity with Snowflake or similar cloud data warehouses.
  • Exposure to support platforms such as Zendesk and their underlying data structures.
  • Experience with dbt or similar data transformation frameworks.

Who this role is not for:
  • Someone who needs a fully built metric framework before they can start measuring anything.
  • Someone who wants to own automation, AI, or chatbot development; that work sits with a different team and will not move here.
  • Someone who treats every data request as equally urgent and needs a manager to triage their queue.
  • Someone whose default response to a business question is building a new dashboard rather than answering the question.

At RE time, Tapcheck does not provide sponsorship for employment-based visas (e.g., H-b, L-1, TN, etc.). Therefore, candidates must already possess the right to work in the United States without the need for employment-based visa sponsorship now or in the future.
About Tapcheck
Tapcheck is a digital platform offering an easy and convenient way to access on-demand earnings early. Available at no cost to employers, our app-based on-demand pay solution helps relieve the financial stress that many employees experience on a daily basis.
The Tapcheck team is passionate about our mission to improve financial wellness and boost business productivity. By giving workers the ability to transfer wages they've earned directly to their bank account or pay card without waiting for payday, Tapcheck eliminates the need for high-interest payday loans or employer-funded cash advances.
How We Get Things Done
Our core values act as a steadfast guide, directing our decisions and anchoring our actions. We consider these values non-negotiable, especially when it comes to our hiring process.
  • Humility: We believe in the power of humility. We value team players who are down-to-earth, respectful, and open to learning from others. Our employees approach challenges with a positive attitude, acknowledging their strengths and weaknesses while celebrating the achievements of their colleagues.
  • Grit: We admire individuals with grit - those who demonstrate unwavering determination and resilience in the face of obstacles. At Tapcheck, we take pride in overcoming challenges together, pushing the boundaries of what is possible, and embracing failure as an opportunity for growth.
  • Raising the Bar: Continuous improvement is at the heart of our culture. We are committed to setting high standards and pushing ourselves to exceed them. We seek employees who are innovative and strive for excellence, constantly seeking ways to enhance our products, services, and processes.
  • Striving for Growth: We foster an environment that encourages personal and professional development. Our employees are driven to learn, grow, and adapt to new circumstances. We support individuals who take initiative, seek out new challenges, and actively contribute to their own growth and the growth of the company.

Why Join Tapcheck?
  • Mission that matters. We're changing how Americans access their pay - giving workers financial flexibility without the debt trap of payday loans.
  • Flexible PTO. No accrual caps, no counting days. Take the time you need.
  • 10 paid holidays. Including both Christmas Eve and New Year's Eve.
  • Comprehensive health coverage. Medical through Blue Cross Blue Shield of Texas (PPO and HDHP options, HSA-eligible with employer contribution), plus dental and vision through MetLife.
  • FSA, Basic Life/AD&D, and an Employee Assistance Program (EAP).
  • 401(k) with a 100% match up to 3% of your salary. Through Mutual of America. Eligible after 90 days.
  • A team that lives its values. Humility, grit, and a genuine drive to raise the bar - every day.

Compensation
Compensation at Tapcheck is competitive and benchmarked to your role and the market. We're committed to a total rewards package that reflects your impact. Full details are shared as part of our hiring process.
Equal Employment Opportunity Policy
Tapcheck, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.