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Home Based Data Analyst Jobs in Kansas (NOW HIRING)

Summary This Financial Data & BI Analyst is responsible for owning data-driven financial reporting ... Familiarity with Azure or similar cloud-based data environments * Background in fintech, payments ...

This Financial Data & BI Analyst is responsible for owning data-driven financial reporting within ... Familiarity with Azure or similar cloud-based data environments * Background in fintech, payments ...

Data Analysts support the development and optimization of strategic initiatives by generating ... Provide recommendations based on data to support business objectives * Internal customer ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow * Experience building solutions for analytical reporting and business intelligence * Experience with a ...

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

We are adapting to cloud-based data automation for data cleansing, extraction, loading ... As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this ...

Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow * Experience building solutions for analytical reporting and business intelligence * Experience with a ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including generative AI and conversational data-access tools - that span multiple business functions, translating ...

$98K - $118K/yr

Analyze and interpret trends and patterns to help find new opportunities. * Help define data best ... based data. PHYSICAL REQUIREMENTS * Ability to work flexible and/or extended hours as needed to ...

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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.

Financial Data & BI Analyst

BASYS Processing

Lenexa, KS • On-site

Full-time

Posted 26 days ago


Job description

Summary
This Financial Data & BI Analyst is responsible for owning data-driven financial reporting within Finance while also providing support and backup for core financial processes, including month-end close. This position combines technical data capability (data warehouse, BI, reporting infrastructure) with financial analysis and operational support. It is intended to restore a critical capability gap created by the recent transition of technical reporting resources out of Finance, while also providing needed redundancy for key processes such as EOM. This role allows Finance to operate more independently in a data-centric environment while reducing reliance on external teams for both reporting and critical workflows.
Employees in this role are expected to perform their duties in accordance with The Way We Work, helping to create a company where innovation and care drive meaningful connections.
Duties & Responsibilities
Essential Functions
  • Own Finance reporting tools and dashboards, including Power BI development and maintenance
  • Build and maintain connections to data lake and data warehouse environments
  • Develop and manage data models supporting financial reporting across multiple systems
  • Deliver ad hoc reporting and analysis directly, reducing reliance on intake from Product/Tech
  • Validate and QA reporting across Sales, Operations, and Product
  • Support development of value stream reporting and product-level P&Ls

Additional Responsibilities
  • Serve as backup support for month-end close (EOM), including reporting, analysis, and issue resolution
  • Improve consistency and definition of financial and operational metrics across systems
  • Identify and implement improvements to reporting and close processes to reduce manual work and risk
  • To remain innovative and efficient, the use of AI is typical and expected within this role and at Basys.
  • Other duties as assigned.

Requirements
  • This role is eligible for a hybrid schedule. Up to one day per week may be worked remotely in accordance with the telecommuting policy.
  • A commitment to:
    • Excellent communication and collaboration, both written and verbal
    • Excellent problem-solving skills and use of judgement
    • Accountability and Ownership
    • Quality, Accuracy, and Attention to Detail
    • A desire for continuous improvement and learning
  • Leadership and development skills demonstrated through influence, mentorship, and subject matter expertise
  • Strong SQL capability (data extraction, joins, transformations)
  • Strong financial acumen, including understanding of P&L drivers, revenue, and margin
  • Ability to translate data into clear financial insights and business implications

Education & Experience
  • Bachelor's degree in Business, Finance, Analytics, or a related field preferred.
  • A minimum of 3-5 years of experience in financial analysis, reporting, business intelligence, or a related analytical role.
  • Experience working with data warehouses and/or data lakes
  • Advanced Power BI (data modeling, DAX, performance optimization)
  • Experience supporting or participating in month-end close and financial reporting processes
  • Experience integrating data from multiple systems (CRM, billing, operational platforms)
  • Experience with Salesforce data and reporting structures
  • Familiarity with Azure or similar cloud-based data environments
  • Background in fintech, payments, or subscription-based business models
  • Experience improving or automating close and reporting processes
  • Prior experience working between Finance and technical/data teams

Basys provides technology and payment integration solutions for businesses across the country and Canada. We treat our team, clients, and vendors like people, not numbers. Basys is proud to maintain the industry leading Net Promotor Score and a 90% customer retention rate of clients that continue to process, in an industry where retention rates often average closer to 70 to 75%. We feel that this is a perfect example of how our customer-oriented business model sets us apart.
Basys is an equal opportunity employer.