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Remote Data Analyst Jobs in Kansas (NOW HIRING)

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

CrowdStrike is seeking an exceptional Senior Data Scientist to join our NGSIEM Agentic AI team ... In this role, you will design, build and deploy advanced AI systems that analyze and prioritize ...

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

College degree in Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

College degree in Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

This is a remote, individual-contributor role with significant visibility and impact. What You'll ... Conduct win/loss analysis, using both quantitative and qualitative data source to determine why ...

Analyze data and assist with reporting, troubleshooting, and root cause analysis. * Support project documentation, status tracking, and stakeholder communication. * Develop subject matter expertise ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... analysts and data scientists who depend on it. This is an exciting opportunity to work on ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... analysts and data scientists who depend on it. This is an exciting opportunity to work on ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Provides financial management, conducts analyses of financial data, provides budget analyses for ... Provides on-site and remote financial technical assistance to country-based staff and provides ...

Provides financial management, conducts analyses of financial data, provides budget analyses for ... Provides on-site and remote financial technical assistance to country-based staff and provides ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Showing results 41-60

Remote Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do remote data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, 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 EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Kansas?

The most popular types of Data Analyst jobs in Kansas are:

What cities in Kansas are hiring for Remote Data Analyst jobs?

Cities in Kansas with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 3% Internship, 87% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Senior Data Engineer

On-site, Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Key responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services.

  • Manage and optimize production databases and data warehouses, including performance tuning and schema management.

  • Build automated data validation frameworks, monitor data quality, and ensure data governance standards.


Job description

*Applicants must be authorized to work in the U.S. for any employer. *We cannot sponsor employment-based visas at this time

About The Company: With hundreds of customers across more than 140 countries, Tango is the leader in cloud-based Software-as-a-Service (SaaS) solutions use to manage the end-to-end real estate and facilities lifecycles. Tango's Store Lifecycle Management and Integrated Workplace Management System software, deliver a single solution spanning real estate, design & construction, lease administration & accounting, facilities maintenance, occupancy management, energy & sustainability, desk booking, visitor and space management. We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering team.

Key Responsibilities: Data Pipeline Ownership Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services (Glue, Lambda, Step Functions, S3). Develop automated workflows to ingest, transform, and validate large volumes of structured and semi-structured data. Monitor pipeline performance, reliability, and cost efficiency; implement proactive improvements.

Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that reaches the warehouse is modeled in dbt and validated against source. Database & Warehouse Management Manage and optimize production databases (Postgres, TimescaleDB) and our OLAP data warehouse (Redshift, etc).

Implement database performance tuning, indexing strategies, query optimizations, and schema evolution best practices. Oversee data retention, partitioning, and backup/restore strategies. Data Quality & Governance Build automated data validation frameworks and anomaly detection, anchored in dbt tests and source-reconciliation checks.

Establish and enforce data quality SLAs across ingestion and reporting layers. Maintain metadata, lineage, and documentation standards to support auditability (SOC 1/2, ISO). Cross-Functional Collaboration Work with application engineering teams to design APIs, microservices, and data contracts.

Support Product and Data Analytics teams with curated datasets and high-performance query patterns. Troubleshoot production issues and improve observability using monitoring and alerting tools (CloudWatch, Datadog, etc.). Required Skills: 5+ years of professional experience as a Data Engineer or similar role

Strong expertise with Python and SQL, and modern data engineering frameworks. Deep experience with AWS data services (Glue, Lambda, Step Functions, S3, Redshift, RDS/Postgres). Hands-on experience with ETL/ELT pipeline design, orchestration, and performance tuning.

Strong experience with production databases (Postgres, TimescaleDB, etc.). Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads. Experience with data quality frameworks, validation, and monitoring

Production experience with dbt: building and testing models, managing sources and lineage, structuring a project across staging/intermediate/mart layers and running it in CI. Experience with Git-based workflows and CI/CD for data: pull requests, code review and automated testing of transformations. Preferred: Experience with time-series data and high-volume ingestion pipelines.

Background in the Energy, Sustainability, or IoT data domain. dbt Semantic Layer or comparable metrics-layer experience (Cube, LookML, Omni semantic models). What We Offer We're committed to creating an environment where you can thrive-professionally and personally.

Our offerings include: Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value. Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being. Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.

Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice. Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status.

Base pay offered is contingent on qualifications and other operational considerations. Base pay is just one piece of the full compensation structure offered at Tango. If this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us.

Base pay offered for this position is: $125,000 - $165,000