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Home Based Data Analyst Jobs in Kansas (NOW HIRING)

PayIt

Associate Data Engineer

Kansas City, KS

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 ...

Young Presidents' Organization

$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 ...

Berkley

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 ...

Berkley

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 ...

Berkley

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 ...

University of Chicago Library

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 ...

27Global

Data Engineer II

Leawood, KS · On-site

$111K - $133K/yr

Collaborate with engineers, analysts, and business stakeholders to align data solutions with organizational needs. * Support cloud-based data strategies including data warehousing, pipelines, and ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Experience with event-based data capture and streaming using Apache Kafka, Google Cloud Pub/Sub, or ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Experience with event-based data capture and streaming using Apache Kafka, Google Cloud Pub/Sub, or ...

WellSky

Staff Data Engineer

Overland Park, KS

$2.5K/yr

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Experience with event-based data capture and streaming using Apache Kafka, Google Cloud Pub/Sub, or ...

27Global

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics. * Experience with big data technologies such as Spark and Kafka.

Velocity Staff

Senior Data Engineer

Overland Park, KS

$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 ...

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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:

Home Based Data Analyst jobs near you
Infographic showing various Home Based Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Associate Data Engineer

PayIt

Kansas City, KS

Full-time

Posted 9 days ago

Job description

In this position you will work closely with other Data Engineers on your team, and members of the broader Engineering organization, to ensure that the business has access to high quality, accurate data via multiple channels (reporting, data visualization tools, data warehouse, BI tools, etc).

Other duties as necessary.

What You'll Need to Have: 
  1. Strong SQL experience and proven expertise handling large volumes of data, including data modeling with dbt
  2. Expertise in Python with a working knowledge of test-driven development
  3. Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure
  4. Experience with RDBMS, NoSQL and Cloud data storage technologies - AWS DocumentDB, MongoDB, Postgres and Snowflake experience preferred
  5. Experience with building ETL solutions and transforming data between different types of sources
  6. Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow
  7. Experience building solutions for analytical reporting and business intelligence
  8. Experience with a data visualization tool such as Tableau, Apache Superset or Looker
  9. Experience building or working on reconciliation systems that compare data from multiple sources for verification.
Bonus Points For:
  1. Experience working with large-scale distributed systems, developing real-time payments systems, and/or working with financial, accounting, or payments systems
  2. Experience with CI/CD such as GitHub Actions or Jenkins 
  3. Experience working with data lakes and/or data warehouses
  4. Experience with Docker and Kubernetes
  5. Knowledge of microservices architectures
  6. Experience developing software professionally following agile methodologies (e.g., Scrum, Kanban)

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