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Home Based Data Analyst Jobs in Kansas (NOW HIRING)

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Collaborate with developers, data scientists, analysts, and others to support data-related ... Experience consuming event-based data through APIs or queues. * Experience in Agile software ...

Data Engineer

Overland Park, KS

$111K - $133K/yr

Collaborate with developers, data scientists, analysts, and others to support data-related ... Experience consuming event-based data through APIs or queues. * Experience in Agile software ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Collaborate with developers, data scientists, analysts, and others to support data-related ... Experience consuming event-based data through APIs or queues. * Experience in Agile software ...

Sr Compensation Analyst

Leawood, KS · On-site

$100 - $125/hr

... based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health ...

Senior Data Architect

Harper, KS · On-site

$63.75 - $85.50/hr

... based data solutions that support operational reporting, business intelligence, advanced analytics, artificial intelligence, and emerging data-driven initiatives. This position serves as the ...

Where You'll Work This position is based in our Lenexa, KS office. We leverage a hybrid working ... Experience designing, developing, and optimizing ETL/ELT solutions for analytics, reporting, and ...

... based solutions designed to develop practice-ready nurses who are prepared for board certification and clinical practice. We use data analytics and engaging learning tools to help nursing students ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

People * Work closely with coaches, analysts, scouts, performance coaches and other key ... Experience working with modern cloud-based data infrastructure (i.e., Azure, AWS or GCP)

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

This role requires significant understanding of data mining and analytical techniques. An ideal ... Experience building and maintaining AWS based data pipelines: Technologies currently utilized ...

Showing results 41-60

Home Based Data Analyst information

What is a home based data analyst?

A Home Based Data Analyst is a professional who works remotely from their home to collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. The role typically involves working with large volumes of data, ensuring data quality, and presenting findings to stakeholders. Home Based Data Analysts must have strong analytical skills, attention to detail, and proficiency in data analysis software such as Excel, SQL, or Python. Remote data analysts often collaborate with teams and clients virtually.

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

To thrive as a Home Based Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Experience with technical tools like SQL, Excel, Python, and data visualization platforms (e.g., Tableau or Power BI) is crucial, along with knowledge of remote collaboration software. Excellent attention to detail, problem-solving ability, and clear communication help you interpret data accurately and present actionable insights to stakeholders. These skills ensure you can independently manage, analyze, and report data effectively while collaborating remotely with teams and clients.

How do home based data analysts typically collaborate with team members while working remotely?

Home-based data analysts often use a variety of digital tools to stay connected and collaborate with their teams, such as project management platforms, instant messaging apps, and video conferencing software. Regular virtual meetings and real-time document sharing are common practices to ensure alignment on projects and data-driven decisions. Effective communication skills and proactive reporting help maintain transparency and foster teamwork despite the physical distance. By leveraging cloud-based analytics platforms, analysts can seamlessly share insights and work jointly on datasets with colleagues across different locations.

Is it possible to work remotely as a home based data analyst?

Home based data analysts can often work remotely, as the role primarily involves analyzing data using software tools like Excel, SQL, or Python, which can be accessed from any location with internet access. Many companies offer remote or flexible schedules for data analysis positions, especially with the increasing adoption of cloud-based collaboration tools. However, some roles may require occasional in-person meetings or specific certifications to qualify for remote work.

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 Home Based Data Analyst jobs?

Cities in Kansas with the most Home Based Data Analyst job openings:

Infographic showing various Home Based Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 1% Temporary, and 6% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Sr. Associate Data Engineer (PySpark, Python & ETL)

McKesson

Overland Park, KS • On-site

$113K - $135K/yr

Full-time

Re-posted 15 days ago


McKesson rating

8.0

Company rating: 8.0 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Rx Savings Solutions, part of McKesson's CoverMyMeds organization, offers an innovative, patented software system that educates and empowers consumers to make the best healthcare choices at the lowest cost. Founded and operated by a team of pharmacists and software engineers, we support a collaborative, cost-saving solution for purchasing prescription drugs.

We currently have an opportunity for a Sr Associate Data Engineerto join our growing Business Operations data engineering team!This is a junior-level position on our team (ideally looking for 2-4 years of Data Engineering / ETL experience). This assists in planning, designing, troubleshooting, and documenting technical requirements for data flows between disparate operational systems and our data warehouse. Our ideal candidate has hands-on experience building and supporting data pipelines using PySpark, SQL, and Python in a cloud-based data environment. Experience developing ETL processes, troubleshooting production data pipelines, and working with cloud technologies such as AWS, Databricks, Azure, or similar platforms is highly preferred. We are looking for engineers who can clearly articulate their contributions to designing, building, supporting, and optimizing data solutions in production environments.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

Responsibilities:

  • Build, maintain, and optimize scalable ETL pipelines using PySpark, SQL, and Python

  • Troubleshoot and resolve production data pipeline issues, performing root cause analysis and implementing long-term solutions

  • Monitor and support data workflows to ensure reliability, performance, and data quality

  • Develop and maintain reusable data ingestion and transformation frameworks

  • Explore and implement the latest AWS technologies to enhance data capabilities and operational efficiency

  • Collaborate across teams to understand business needs and propose innovative data solutions

  • Participate in code reviews and contribute to continuous improvement of data engineering practices

  • Ensure data quality, integrity, and security across all stages of the pipeline

  • Document data flows, technical specifications, and operational procedures

  • Support deployment and integration of data solutions into production environments

Requirements:

  • Bachelor's degree in Computer Science or related technical degree, or equivalent experience, and 2+ years of experience relative to the above responsibilities

  • 2+ years of experience building and supporting data pipelines using PySpark in a cloud-based data platform environment

  • 2+ years of hands-on experience developing data transformation logic using PySpark and SQL

  • 2+ years of experience Databricks or similar cloud-based data platforms

  • 2+ years of hands-on Python development experience supporting ETL processes, automation, data transformation, or data quality initiatives

  • Experience troubleshooting, supporting, and resolving issues within production ETL and data pipeline environments

  • Knowledge of Structured and Unstructured data

  • Possess understanding of BI concepts and be familiar with relational or multi-dimensional modeling concepts

  • Understanding of RDBMS best practices and performance tuning techniques

  • Experience with cloud technologies such as AWS services such as S3, CloudWatch, EC2, and passion for a role working in a cloud data warehouse.

  • Experience with version control systems like Git

It would be nice if you had...

  • Experience with Databricks

  • Experience with AWS cloud services such as S3, CloudWatch, EC2, Glue, or Lambda

  • Experience with ETL platforms such as Talend, Informatica, SSIS, or DataStage

  • Experience with Agile and Scrum methodologies

  • Knowledge of Java or JavaScript

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$80,300 - $133,900

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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