Skip to content

Open nowFirst seen 3 days ago

Pricing Strategy Analyst

Group O15 open roles

Pay
$140,000 – $165,000 a year
Where
Remote, Texas
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPricing Strategy AnalystGroup O · Remote, Texas
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Group O's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Group O postings stay open a median of 3 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

Group O median: 3 days open

The posting

The Pricing Strategy Analyst is part of the Pricing Center of Excellence and supports core pricing strategy across the company’s product portfolio. The role focuses on acquisition and base pricing, annual price increases, fee changes, alternative pricing models, and the development of business cases used to evaluate pricing options and financial impact.

The ideal candidate brings strong financial acumen, analytical capability, structured problem solving, and comfort working through ambiguity. Direct pricing experience is helpful but not mandatory; candidates with strong strategy and financial analytics backgrounds are encouraged. Advanced Excel, financial modeling, and PowerPoint are more important than SQL, Python, Power BI, or Tableau, which are differentiators rather than core requirements.

Job Responsibilities

Essential Functions:

  • Develop strategic business cases supporting new products, pricing initiatives, promotional offers, and customer acquisition strategies.
  • Support core pricing decisions including acquisition pricing, base pricing, annual price increases, fee changes, and evaluation of alternative pricing models.
  • Structure ambiguous business problems, analyze options, and develop clear, data-supported recommendations for leadership.
  • Build financial models and conduct scenario analysis to evaluate market opportunities, forecast business impact, and estimate ROI for strategic initiatives.
  • Analyze pricing performance, promotional effectiveness, and competitive positioning across products and customer segments.
  • Use advanced Excel and financial modeling as primary analytical tools to build and evaluate pricing business cases; leverage SQL, Python, Power BI, Tableau, and existing reporting assets when applicable.
  • Develop new dashboards, reports, and executive presentations that translate complex analysis into actionable business recommendations.
  • Partner cross-functionally with Product, Marketing, Finance, Sales, and Analytics teams to define business requirements and prioritize strategic initiatives.
  • Support pricing tests, experiments, and optimization efforts, including test design, measurement frameworks, post-launch analysis, and recommendation development.
  • Evaluate customer behavior, pricing elasticity, promotional performance, and acquisition trends to support data-driven decision making.
  • Build dashboards, reports, and recurring performance views that help stakeholders monitor key pricing, revenue, margin, and customer metrics.
  • Present findings and recommendations to business leaders through concise, executive-level storytelling and visualizations.

Secondary Functions:

  • Leverage AI tools such as ChatGPT, Microsoft Copilot, and similar technologies to improve research, automate analysis, accelerate content development, and increase productivity.
  • Continuously identify opportunities to improve reporting processes, analytical workflows, and business decision-making capabilities.

Position type:

  • Full time
  • Approximately 12 months planned, with potential extension

Expected hours of work:

  • Remote within the U.S.; U.S. time zones. Weekend work is uncommon and may be needed only occasionally.

Job Qualifications

Education/Certifications:

  • Bachelor's degree in Business, Economics, Finance, Analytics, Marketing, Data Science, or a related field.

Preferred Education/Certifications:

  • MBA is a plus.

Experience:

  • Typically, 3–6 years of relevant experience in pricing, strategy, business analysis, consulting, financial analysis, product strategy, or analytics; the hiring team is flexible based on demonstrated ability to perform the role.
  • Experience developing business cases, financial models, and executive presentations.
  • Experience supporting pricing, acquisition, product, or commercial strategy initiatives.
  • Experience working cross-functionally within fast-paced, data-driven organizations.

Preferred Experience:

  • Experience with pricing experimentation, elasticity analysis, customer segmentation, promotional analysis, or revenue optimization.
  • Experience in subscription, media, telecom, technology, consumer services, or other recurring-revenue businesses.

Skills and Qualifications:

  • Strong business acumen with the ability to connect analytical findings to strategic recommendations.
  • Advanced Excel skills including financial modeling, forecasting, and scenario analysis.
  • Strong PowerPoint, communication, and executive presentation skills, with the ability to simplify complex analyses and clearly articulate recommendations.
  • Strong analytical thinking, financial acumen, structured problem-solving, and the ability to work effectively through ambiguity.

Preferred Skills and Qualifications:

  • SQL skills for data extraction and analysis; SQL is a differentiator rather than a core requirement.
  • Experience with Python for data analysis and automation; advanced technical/coding skills are a plus rather than a core requirement.
  • Experience using Power BI and/or Tableau to build dashboards and executive reporting.
  • Familiarity with AI productivity tools and prompting (such as ChatGPT or Microsoft Copilot) to accelerate analysis and routine tasks; willingness and ability to learn new AI-enabled workflows quickly is important.
  • Ability to manage multiple initiatives while working independently in a collaborative environment.

Physical Requirements: N/A

Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed, as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Group O's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Group O's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Group O's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.