ZipRecruiter

Log In

1

Relocation Opportunity Data Analyst Jobs in Kansas

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are ... Work closely with coaches, analysts, scouts and other key stakeholders to identify football ...

AEG

Data Scientist

Kansas City, KS · On-site

Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are ... Work closely with coaches, analysts, scouts and other key stakeholders to identify football ...

Clarivate

Data Security Analyst

Kansas City, KS · Hybrid

We are looking for a Data Security Analyst to join our Information Security Architecture team in ... This is an exciting opportunity to work on cutting-edge data protection and security initiatives ...

previous pagenext page

Showing results 21-40

All JobsRelocation Opportunity Data Analyst JobsRelocation Opportunity Data Analyst Jobs in Kansas

Relocation Opportunity Data Analyst information

What is a relocation opportunity data analyst?

A Relocation Opportunity Data Analyst is a professional who gathers, analyzes, and interprets data related to employee or organizational relocations. Their role involves assessing relocation trends, costs, and opportunities to help companies make informed decisions about moving employees or offices. They may also evaluate geographic data, compensation packages, and market conditions to optimize relocation strategies. These analysts typically work with HR, real estate, and finance teams to support workforce mobility initiatives and ensure smooth transitions during relocations.

What are some common challenges data analysts face when relocating for a new position, and how can they prepare for a smooth transition?

Relocating for a Data Analyst role often involves adapting to a new company culture, understanding region-specific data privacy regulations, and building relationships with a new team. Job seekers should research the local data landscape, familiarize themselves with relevant regulations, and proactively reach out to future colleagues before moving. Additionally, leveraging company-offered relocation support and participating in onboarding activities can help ease the transition and ensure a successful start.

What are the key skills and qualifications needed to thrive as a relocation opportunity data analyst, and why are they important?

To thrive as a Relocation Opportunity Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required, along with knowledge of geographic information systems (GIS). Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help in translating complex data into actionable business insights. These skills ensure accurate assessments of relocation opportunities, supporting informed decision-making and successful organizational transitions.

What is the difference between Relocation Opportunity Data Analyst vs Data Analyst?

AspectRelocation Opportunity Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; often some experience in data analysisBachelor's or higher in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentCorporate offices, remote options, or client sites; often involves travel for relocation projectsOffice-based, remote, or hybrid settings; focused on data processing and reporting
Employer & Industry UsageUsed by companies offering relocation services, HR firms, and multinational corporationsWidely used across industries like finance, healthcare, marketing, and technology

The main difference is that a Relocation Opportunity Data Analyst specializes in analyzing data related to employee relocations and mobility programs, often involving travel and specific industry knowledge. In contrast, a Data Analyst has a broader focus on analyzing various types of data across multiple sectors. Both roles require similar credentials but differ in their focus areas and work environments.

What are popular job titles related to Relocation Opportunity Data Analyst jobs in Kansas?

For Relocation Opportunity Data Analyst jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Relocation Opportunity Data Analyst jobs in Kansas look for?

The top searched job categories for Relocation Opportunity Data Analyst jobs in Kansas are:

Relocation Opportunity Data Analyst jobs near you
Infographic showing various Relocation Opportunity Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Financial Data & BI Analyst

BASYS Processing

Lenexa, KS • On-site

Full-time

Posted 20 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.

Apply