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Data Optimization Jobs in Kansas (NOW HIRING)

Financial Data & BI Analyst

Lenexa, KS ยท On-site

$80 - $100/hr

Advanced Power BI (data modeling, DAX, performance optimization) * Experience supporting or participating in month-end close and financial reporting processes * Experience integrating data from ...

As a Senior Data Governance Analyst -- Unstructured Data & AI Readiness you will serve as a ... You will ensure enterprise information is trusted, compliant, and optimized for AI and Retrieval ...

Senior Data Platform Engineer

Lenexa, KS ยท On-site

$125 - $150/hr

Experience designing, developing, and optimizing ETL/ELT solutions for analytics, reporting, and operational data workloads. * Advanced proficiency in SQL and Python for data engineering, automation ...

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. They support business growth by ...

Data Scanning Associate

Belleville, KS ยท On-site

$14.25 - $18.50/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and ... Optimized, flexible work schedules that enable a healthy work-life balance. * Paid drive time and ...

Data Scanning Associate

Belleville, KS ยท On-site

$14.25 - $18.50/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and ... Optimized, flexible work schedules that enable a healthy work-life balance. * Paid drive time and ...

Showing results 41-60

Data Optimization information

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What are popular job titles related to Data Optimization jobs in Kansas?

For Data Optimization jobs in Kansas, the most frequently searched job titles are:

Infographic showing various Data Optimization job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Financial Data & BI Analyst

Lenexa, KS โ€ข Hybrid

BASYS Processing
Finance and Insuranceย โ€ขย 51 - 200 employees

Full-time

Posted 28 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.