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Remote Financial Data Analyst Jobs in Kansas (NOW HIRING)

... remote basis At Scopely, we care deeply about what we do and want to inspire play, every day ... financial analysis, data science, or a similar quantitative role * 2+ years' experience using SQL ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

  • PTO

... MMGY Finance team Database Management and Data Collection * Analyze results, visualize performance, and identify trends that provide actionable insights based on available data, connecting media ...

Distribution Data Analyst Location: Topeka, KS - Onsite Overview: If you enjoy a fast-paced ... It is on-site in our Topeka, KS office and not open to remote work. Additionally, please note that ...

Sr Data Scientist

Leawood, KS · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... personal trainers, financial advisors, skilled trades professionals and insurance brokers ... Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis:

Regional Financial Analyst - North Florida

Olathe, KS · On-site +1

$62K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform data analysis as needed/requested by other team members within region or company ... Finance team with procurement activities including creating and approving requisitions for goods ...

South Florida Regional Financial Analyst

Olathe, KS · On-site +1

$62K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform data analysis as needed/requested by other team members within region or company ... Finance team with procurement activities including creating and approving requisitions for goods ...

Bachelor's degree in Risk Management, Insurance, Business, Finance, Data Analytics, Construction Management, or a related field, or equivalent combination of education and relevant experience. * At ...

Bachelor's degree in Risk Management, Insurance, Business, Finance, Data Analytics, Construction Management, or a related field, or equivalent combination of education and relevant experience. * At ...

Data Analysis Tutor

Wichita, KS · Remote

$18 - $40/hr

Emphasizes practical analytical skills and connects data analysis to marketing, operations, finance, and strategic business decisions. * Curriculum Awareness & Adaptive Instruction: Familiar with ...

Data Analysis Tutor

Overland Park, KS · Remote

$18 - $40/hr

Emphasizes practical analytical skills and connects data analysis to marketing, operations, finance, and strategic business decisions. * Curriculum Awareness & Adaptive Instruction: Familiar with ...

Sr Manager FP&A

Leawood, KS · On-site +1

$106K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... outcomes-based, data-driven solutions across the lifecycle of learning. From testing to ... Remote will be considered, with some travel. HOW YOU'LL SPEND YOUR TIME Financial Reporting ...

Director of Data Engineering

Lenexa, KS · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Director will manage a small team of data analysts and engineers and will work closely with an ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

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Remote Financial Data Analyst information

What is a remote financial data analyst?

A Remote Financial Data Analyst is a professional who works from a location outside of a traditional office, analyzing and interpreting financial data to help organizations make informed decisions. They use various tools and software to collect, process, and present data related to budgets, investments, and financial trends. Their insights support business planning, risk management, and strategic growth. Remote Financial Data Analysts often collaborate with teams through virtual meetings and digital platforms, allowing them to work flexibly from anywhere with an internet connection.

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

To thrive as a Remote Financial Data Analyst, you need strong analytical abilities, proficiency in finance and statistics, and a relevant degree such as finance, economics, or mathematics. Expertise in tools like Excel, SQL, Python, and familiarity with business intelligence platforms such as Tableau or Power BI, plus relevant certifications (e.g., CFA or FMVA), are typically required. Excellent communication, self-motivation, and time management are vital soft skills for collaborating virtually and delivering insights independently. These skills ensure accurate data analysis, effective remote teamwork, and actionable financial recommendations for business success.

How does a remote financial data analyst typically collaborate with team members and stakeholders across different locations?

As a Remote Financial Data Analyst, collaboration is often facilitated through digital communication tools such as video conferencing, instant messaging, and shared dashboards. You’ll regularly participate in virtual meetings to discuss data findings with finance teams, business leaders, and other analysts. Clear documentation and frequent updates are key, as is the ability to translate complex financial data into actionable insights for non-technical stakeholders. Building strong remote relationships and proactively communicating progress help ensure projects stay aligned and deadlines are met, even when working from different time zones.

What is the difference between Remote Financial Data Analyst vs Remote Financial Analyst?

AspectRemote Financial Data AnalystRemote Financial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in data analysis toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentPrimarily data analysis, reporting, and modelingFinancial planning, reporting, and advising
Employer & Industry UsageFinancial services, investment firms, corporationsBanking, investment firms, corporate finance
Common Search & ComparisonFocuses on data analysis and modelingFocuses on financial advising and strategy

The main difference is that a Remote Financial Data Analyst specializes in analyzing financial data, creating models, and generating reports, while a Remote Financial Analyst focuses more on financial planning, advising, and strategy. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

What are the most commonly searched types of Financial Data Analyst jobs in Kansas?

The most popular types of Financial Data Analyst jobs in Kansas are:

What cities in Kansas are hiring for Remote Financial Data Analyst jobs?

Cities in Kansas with the most Remote Financial Data Analyst job openings:

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Full-time

Re-posted yesterday


Job description

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do
  • Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining strong judgment around data quality, accuracy, privacy, and business context
  • Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into clear insights that improve player engagement, retention, monetization, and long-term game health
  • Own recurring business-health reporting for Marvel Strike Force, including KPI reads, trend context, variance explanations, and executive-ready narratives for what changed, why it changed, and what to do next
  • Analyze player behavior across onboarding, progression, events, offers, combat modes, and other core game systems to identify risks, opportunities, and player-impacting friction
  • Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar
What We're Looking For
  • B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
  • 2+ years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a similar quantitative role
  • 2+ years' experience using SQL/Python, including complex queries from multiple data sources
  • 2+ years' experience creating reports using Tableau/Looker or a similar reporting system
  • Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported conclusions
  • Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation
  • Excellent communication and storytelling skills, with the ability to turn detailed analysis into concise, actionable recommendations for both technical and non-technical partners
  • Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor

Bonus Points

  • Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making
  • Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
  • Advanced degrees a plus
  • 2+ years within the mobile gaming domain
  • Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn
  • Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models

Please ensure that the resume/CV you attach is written in English.