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Remote Data Analytics Consultant Jobs in Kansas (NOW HIRING)

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 ...

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From modernizing legacy data warehouses and guiding platform migrations to designing analytics and ... Starting offers: $200,000 - $220,000USD Benefits: * 100% remote * Time off: 5 weeks flexible time ...

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Coordinate the retrieval of source data and review to ensure we have the required data for ... Good troubleshooting and analytical thinking to resolve issues. * Strong working knowledge of ...

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Coordinate the retrieval of source data and review to ensure we have the required data for ... Good troubleshooting and analytical thinking to resolve issues. * Strong working knowledge of ...

... with data analysis to help clients to drive cost savings and manage outside counsel spend ... JA1 #LI-REMOTE "In compliance with federal law, all persons hired will be required to verify ...

Sr Data Scientist

Leawood, KS ยท On-site +1

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WHAT YOU'LL DO As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the ... Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis:

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Provide business analysis through gap analysis, root cause analysis, facilitation of business ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

$125K - $165K/yr

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Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

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Remote Data Analytics Consultant information

What does a remote data analytics consultant do?

A Remote Data Analytics Consultant helps organizations analyze and interpret complex data to inform business decisions, working from a location outside the client's physical office. They use statistical tools, data visualization, and data modeling techniques to uncover patterns, trends, and insights. Their responsibilities often include data gathering, cleaning, analysis, and presenting findings to stakeholders in a clear and actionable way. Remote consultants collaborate with teams virtually, providing expertise on projects ranging from business intelligence to predictive analytics, and may also advise on data strategy and best practices.

What are the key skills and qualifications needed to thrive as a remote data analytics consultant?

To thrive as a Remote Data Analytics Consultant, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field such as statistics, computer science, or mathematics. Familiarity with tools like SQL, Python, R, Tableau, and cloud data platforms, as well as relevant certifications (e.g., Google Data Analytics Certificate), is highly beneficial. Strong problem-solving, communication, and self-management skills are essential for working independently and delivering actionable insights to clients. These skills and qualifications enable consultants to effectively interpret complex data and provide valuable solutions in a remote, client-focused environment.

How do remote data analytics consultants typically collaborate with clients and internal teams while working off-site?

Remote Data Analytics Consultants often use a combination of video conferencing, collaborative dashboards, and project management tools to maintain close communication with clients and internal stakeholders. Regular virtual meetings are standard for discussing project goals, progress updates, and data insights. Effective consultants proactively share findings, respond to questions in a timely manner, and ensure data security protocols are followed when exchanging sensitive information. This collaborative approach helps bridge the distance and fosters strong, productive relationships across distributed teams.

What is the difference between Remote Data Analytics Consultant vs Remote Data Analyst?

AspectRemote Data Analytics ConsultantRemote Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentConsulting projects, client sites, remote teams, often project-basedIn-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareCorporations, finance, healthcare, retail

The main difference is that a Remote Data Analytics Consultant typically works on client projects, providing strategic insights and recommendations, while a Remote Data Analyst focuses on analyzing data to support internal business decisions. Both roles require similar skills and certifications but differ in work scope and environment.

What are popular job titles related to Remote Data Analytics Consultant jobs in Kansas?

For Remote Data Analytics Consultant jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Consultant jobs in Kansas look for?

The top searched job categories for Remote Data Analytics Consultant jobs in Kansas are:

What cities in Kansas are hiring for Remote Data Analytics Consultant jobs?

Cities in Kansas with the most Remote Data Analytics Consultant job openings:

Infographic showing various Remote Data Analytics Consultant job openings in Kansas as of August 2026, with employment types broken down into 11% Internship, 79% Full Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.

Deal Desk Analyst | Remote, USA

Optiv Security, Inc.

Overland Park, KS โ€ข On-site, Remote

Full-time

Posted 8 days ago


Job description

This role is fully remote and can be hired anywhere within the continental U.S.
The Deal Desk Analyst supports pricing strategy, deal analysis, margin optimization, and commercial decision-making within Optiv's security technology business. This role is heavily focused on pricing analytics, financial modeling, benchmarking, and data-driven recommendations that help improve profitability while supporting revenue growth objectives.
Working closely with Sales, Client Operations Specialists (COS), Finance, and business leadership, the Deal Desk Analyst evaluates complex deal scenarios, identifies pricing and margin opportunities, assesses commercial risk, and develops recommendations that support both customer and company objectives.
The ideal candidate is highly analytical, intellectually curious, and comfortable operating in ambiguous situations. They possess strong independent critical thinking and problem-solving skills, with the ability to move beyond standard analysis, challenge assumptions, connect data points, and develop creative, actionable recommendations. This individual must be capable of using data to tell a story, influence decision-making, and provide practical guidance in a fast-paced, highly dynamic sales environment.
How you'll make an impact
  • Serve as a trusted advisor to Sales and COS teams by providing counsel on deal strategy, pricing recommendations, margin optimization, and commercial negotiations for large, complex, and financially sensitive transactions.
  • Analyze sales opportunities to identify risks, pricing pressure, margin improvement opportunities, and alternative solution configurations that optimize commercial outcomes.
  • Develop and leverage pricing models, benchmark analyses, and business insights to support data-driven pricing recommendations.
  • Apply independent judgment and critical thinking to evaluate unique deal scenarios, challenge assumptions, and recommend creative solutions that balance profitability, competitiveness, customer expectations, and long-term account value.
  • Partner cross-functionally with Sales, COS, Finance, Vendor Management, and leadership teams to understand business objectives and develop pricing strategies that support growth and margin goals.
  • Analyze historical transaction data, customer purchasing patterns, vendor pricing, and market benchmarks to identify actionable insights and improve pricing decisions.
  • Support reporting and analysis related to strategic pricing investments, margin exceptions, and approved low-margin opportunities to improve visibility and accountability.
  • Participate in initiatives focused on process improvement, pricing optimization, reporting enhancements, automation, and operational efficiency.
  • Identify opportunities for continuous improvement and collaborate with stakeholders to implement practical, scalable solutions.

What we're looking for
  • Strong analytical, critical thinking, and problem-solving skills with the ability to independently evaluate complex business situations and make sound recommendations.
  • Medium to advanced Excel skills, including experience working with large datasets, formulas, pivot tables, lookups, and financial analysis.
  • Experience analyzing dynamic pricing environments or complex commercial scenarios involving competing priorities and unique circumstances.
  • Ability to synthesize large volumes of data into clear, concise, and actionable recommendations for business stakeholders.
  • Strong business acumen with an understanding of deal economics, customer behavior, competitive dynamics, and the long-term impact of pricing decisions.
  • Ability to challenge assumptions, ask thoughtful questions, and identify opportunities that may not be immediately apparent.
  • Strong communication and interpersonal skills with the ability to influence stakeholders and effectively explain recommendations.
  • Ability to manage multiple priorities and perform effectively in a fast-paced, deadline-driven environment.
  • Knowledge of pricing strategy, margin management, discounting practices, and the financial impact of commercial decisions.

Preferred Qualifications
  • Bachelor's degree in Finance, Business, Economics, Data Analytics, Data Science, Mathematics, or a related field
  • 2+ years of experience in pricing strategy, Deal Desk, financial analysis, FP&A, data analytics, consulting, client services, sales operations, or related business functions
  • Experience with Salesforce or other CRM platforms.
  • Experience with Power BI, Tableau, SQL, Python, or other reporting and analytics tools.
  • Experience developing pricing models, financial models, dashboards, or executive-level reporting.
  • Experience supporting sales organizations or working in customer-facing commercial environments.
  • Experience within technology, cybersecurity, software, SaaS, services, or channel/reseller businesses.

What you can expect from Optiv
  • A company committed to our inclusive value through our Employee Resource Groups
  • Work/life balance
  • Professional training resources
  • Creative problem-solving and the ability to tackle unique, complex projects
  • Volunteer Opportunities. "Optiv Chips In" encourages employees to volunteer and engage with their teams and communities.
  • The ability and technology necessary to productively work remotely/from home (where applicable)

EEO Statement
Optiv is an equal opportunity employer. All qualified applicants for employment will be considered without regard to race, color, religion, sex, gender identity or expression, sexual orientation, pregnancy, age 40 and over, marital status, genetic information, national origin, status as an individual with a disability, military or veteran status, or any other basis protected by federal, state, or local law.
Optiv respects your privacy. By providing your information through this page or applying for a job at Optiv, you acknowledge that Optiv will collect, use, and process your information, which may include personal information and sensitive personal information, in connection with Optiv's selection and recruitment activities. For additional details on how Optiv uses and protects your personal information in the application process, click here to view our Applicant Privacy Notice. If you sign up to receive notifications of job postings, you may unsubscribe at any time.