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Data Analyst Independent Jobs in Kansas (NOW HIRING)

Data Architect

Topeka, KS ยท On-site

$60 - $77.25/hr

Translate business and analytics needs into practical data designs and patterns. * Work closely ... Perform responsibilities independently with minimal oversight. * Demonstrate clients core ...

Data Architect

Topeka, KS ยท Hybrid

$131K - $177K/yr

Translate business and analytics needs into practical data designs and patterns. * Work closely ... Perform responsibilities independently with minimal oversight. * Demonstrate clients core ...

Recruiting for this role ends on 10/1/2026 Position Summary The Clinical Data Analytics (CDA) AMS ... Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Compliance Data Intern

Topeka, KS ยท On-site

$33K - $40K/yr

Ability to work independently and take ownership of projects * Exceptional problem determination ... Experience amp; interest in data analytics What you'll get: * Access to an on-site cafรฉ and gym

Compliance Data Intern

Topeka, KS ยท On-site

$37K - $45K/yr

Ability to work independently and take ownership of projects * Exceptional problem determination ... Experience & interest in data analytics What you'll get: * Access to an on-site cafรฉ and gym

Data Engineer

Leawood, KS ยท On-site

$111K - $133K/yr

Required : โ€ข Bachelor's degree in Data Management, Data Science, BI Analytics, or related โ€ข ... and independently โ€ข Ability to work effectively in fast-paced changing environment and ...

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Independent Crop Consultant

Benton, KS ยท On-site

$65K - $100K/yr

Independent Crop Consultant Position Overview We are seeking an experienced, self-motivated ... Analyze yield data and use the results to support future management decisions. * Assist clients ...

New

Data Systems & Analytics Manager

Mission, KS ยท On-site

$105 - $145/hr

... analytics manager to oversee the data infrastructure that powers our learning, evaluation, and ... deeper, independent ownership of data systems and architecture (roughly 6+ years). KEY ...

New

Analyze data and assist with reporting, troubleshooting, and root cause analysis. * Support project ... Ability to work independently and collaboratively in a team environment. * Customer-service mindset ...

Analyze data and assist with reporting, troubleshooting, and root cause analysis. * Support project ... Ability to work independently and collaboratively in a team environment. * Customer-service mindset ...

Analyze data and assist with reporting, troubleshooting, and root cause analysis. * Support project ... Ability to work independently and collaboratively in a team environment. * Customer-service mindset ...

... analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ... where independent thinking and collaboration come together to create an authentic culture. We ...

... analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ... where independent thinking and collaboration come together to create an authentic culture. We ...

Data Engineer

Leawood, KS ยท On-site

$111K - $133K/yr

The Data Engineer partners closely with data architecture, analytics, and business teams to deliver ... Ability to work in a team environment and independently and collaboratively in a fast-paced ...

Showing results 41-60

Data Analyst Independent information

What is a data analyst independent?

A Data Analyst Independent is a professional who analyzes and interprets data to help organizations make informed decisions, but works on a freelance or contract basis rather than as a full-time employee. They handle tasks such as data collection, cleaning, visualization, and reporting for various clients or projects. Being independent, they often manage their own schedules, client communications, and project scopes, providing flexible analytical services tailored to each client's needs.

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

To thrive as a Data Analyst Independent, you need strong analytical skills, proficiency in statistical methods, and a background in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and experience with databases (SQL) are typically required. Excellent communication, problem-solving abilities, and self-motivation help independent data analysts effectively interpret data and present actionable insights to clients. These skills and qualities are crucial for delivering valuable, data-driven solutions while managing projects autonomously.

What are some common challenges independent data analysts face when working with clients, and how can they be addressed?

Independent Data Analysts often encounter challenges such as unclear project scopes, inconsistent data quality, and varying client expectations. To address these issues, it's important to establish clear communication from the outset, set realistic timelines, and define deliverables in a contract. Regular check-ins with clients can help manage expectations and ensure alignment. Additionally, proactively discussing data limitations and suggesting solutions can build trust and lead to more successful project outcomes.

What is the difference between Data Analyst Independent vs Data Analyst?

AspectData Analyst IndependentData Analyst
CredentialsBachelor's degree in data-related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree in data, statistics, or related fields; similar certifications
Work EnvironmentFreelance or contract basis; remote or client sitesFull-time employment in organizations; office or remote
Employer & IndustryClients across various industries; consulting firms, startupsCompanies across industries; corporate, finance, healthcare
Search & Comparison IntentOften compared for freelance vs in-house rolesStandard role in organizations; common comparison

Data Analyst Independent typically works as a freelancer or contractor, offering services to multiple clients, often remotely. In contrast, a Data Analyst is usually employed full-time within an organization. Both roles require similar skills and certifications, but their work environments and employment structures differ significantly.

Are data analyst jobs still in demand?

Data analyst jobs remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are highly valued, and the role often requires strong analytical and problem-solving abilities. The demand is expected to continue growing as organizations prioritize data insights for strategic growth.

Can a non-IT person become a data analyst?

Yes, a non-IT person can become a data analyst by developing skills in data analysis tools like Excel, SQL, and statistical software, as well as understanding data visualization and basic programming. Many successful data analysts come from diverse backgrounds and acquire relevant skills through online courses, certifications, or training programs.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work to supplement their income, often using skills in data visualization, SQL, and Excel. Managing time and maintaining confidentiality are important when balancing a full-time role with side gigs.

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

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

Data Architect

Advantage Tech

Topeka, KS โ€ข On-site

$60 - $77.25/hr

Full-time

Re-posted 26 days ago


Job description

Title: Data Architect
Location: 4 days in office in Topeka, 1 day remote
Type: Perm
Role:
The Data Architect is responsible for establishing and evolving the organization's data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering.
Responsibilities:
  • Define, maintain, and evolve the core data architecture, including conceptual, logical, and physical data models, data flows, integration patterns, and platform standards.
  • Design simple, scalable data flows:
  • Source systems ingestion, Databricks, consumption
  • Establish foundational data models (bronze / silver / gold or equivalent)
  • Define standards for data ingestion, transformation, naming conventions, modeling conventions, access and security, and architectural patterns.
  • Translate business and analytics needs into practical data designs and patterns.
  • Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM, metadata, data warehousing, data lakes, BI, and related domains.
  • Support early analytics, BI, and data science use cases.
  • Guide engineers and analysts on best practices in Databricks.
  • Maintain data architecture roadmaps and priorities.
  • Balance short-term delivery with long-term scalability, articulating tradeoffs, costs, and benefits of different options.
  • Identify technical debt early and propose incremental improvements.
  • Act as a hands-on advisor to resolve complex data issues, not just a governance role.
  • Evaluate emerging technologies and industry trends to guide future investments and modernization efforts.

Expectations:
  • Perform responsibilities independently with minimal oversight.
  • Demonstrate clients core competencies that define how we work, collaborate, and lead. These competencies guide day to day behaviors and decision making, ensuring we instill trust, communicate effectively, value differences and deliver strong results.
  • Consistently takes action in alignment with client values.
  • Provides regulatory reporting support, as needed, and partners with other departments to implement effective policies and procedures that support the requirements of applicable statutes and regulation.

Knowledge and Skills:
Experience:
- Minimum of 8-10 years of experience in data architecture including data modeling, data integration, business intelligence (BI), data marts, data lakes and data warehousing, data architecture and data model design.
Education:
- Bachelor's degree in computer science or related technology degree.
- Professional certificate or a graduate degree highly regarded.
Interpersonal Skills:
- Courtesy, tact, and diplomacy are essential elements of the job. Work involves a high degree of personal contact with others inside and/or outside the organization for purposes of exchanging information, building relationships, or soliciting cooperation.
Other Preferred Skills:
  • Experience with Databricks, Azure Data Factory, and Power BI.
  • Strong understanding of modern cloud data architecture, medallion architecture (bronze, silver, gold), and ELT patterns.
  • Must be able to work and travel independently, manage multiple and competing demands.