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Remote Revenue Data Analyst Jobs in Tennessee (NOW HIRING)

Manager, Revenue Cycle Remote Company Overview: AMSURG is an independent leader in ambulatory ... Ability to read, analyze and interpret general business periodicals, professional journals ...

FP&A Analyst

Memphis, TN · On-site +1

$70K - $80K/yr

Works closely with Accounting, Revenue and Operations, People/HR, and the Data & Analytics team, as well as departmental budget owners across the business. Location: Carlsbad, CA (Hybrid) or Remote ...

Posted today

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Remote Revenue Data Analyst information

What is a remote revenue data analyst?

A Remote Revenue Data Analyst is a professional who works from a remote location to analyze and interpret data related to a company's revenue streams. They are responsible for identifying trends, forecasting revenue, and providing insights that help organizations make informed business decisions. This role typically involves working with large sets of data, creating reports, and collaborating with finance, sales, and management teams—all while leveraging data analytics tools and software. The position allows for flexible work arrangements and often requires strong analytical, communication, and technical skills.

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

To thrive as a Remote Revenue Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a background in finance or economics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and experience with ERP or CRM systems are typically required. Excellent communication, problem-solving skills, and self-motivation help you effectively present insights and work independently in a remote environment. These skills are essential for accurately identifying revenue trends, supporting business decisions, and ensuring successful collaboration with dispersed teams.

How does a remote revenue data analyst typically collaborate with cross-functional teams to drive business insights?

As a Remote Revenue Data Analyst, you will regularly interact with sales, finance, and marketing teams to gather context and share findings that influence decision-making. Collaboration often involves virtual meetings, shared dashboards, and real-time data visualization tools to ensure alignment on key revenue metrics and business goals. Effective communication and the ability to translate complex data into actionable insights are crucial, as your analyses directly impact strategic planning and revenue optimization. Building strong relationships across departments helps you understand business needs and tailor your analyses for maximum impact.

What is the difference between Remote Revenue Data Analyst vs Remote Business Data Analyst?

AspectRemote Revenue Data AnalystRemote Business Data Analyst
Required CredentialsBachelor's in Data Analytics, Finance, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Business, Data Analytics, or related; similar technical skills and certifications
Work EnvironmentRemote, often within finance or sales teams, analyzing revenue streamsRemote, across various business units, analyzing overall business performance
Employer & Industry UsageFinance, sales, SaaS, e-commerce companiesConsulting firms, corporate strategy, diverse industries

The Remote Revenue Data Analyst focuses specifically on analyzing revenue data to optimize sales and financial performance, while the Remote Business Data Analyst has a broader scope, examining overall business metrics. Both roles require similar skills and certifications but differ in their focus areas and industry applications.

What cities in Tennessee are hiring for Remote Revenue Data Analyst jobs?

Cities in Tennessee with the most Remote Revenue Data Analyst job openings:

Deal Desk Analyst | Remote, USA

Optiv Security, Inc.

Nashville, TN • Remote

Full-time

Posted 9 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.

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