Mphasis

Analyst

Remote, United States remote Entry $0 - $0
remote Technology & IT Salary listed Curated
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About the role

Job Profile: Sales Operations & Pricing Analyst (looking for in Multiple Levels)
Role Summary
The Sales Operations & Pricing Analyst is responsible for end-to-end deal lifecycle management, including deal creation, validation, pricing analysis, margin optimization, and reporting. The role supports sales and partner teams by ensuring accurate pricing, compliance with policies, and timely deal processing while providing analytical insights to enhance business performance.

Key Responsibilitie
sDeal Management & Processin
gCreate, update, and manage indirect bid deals (Transactional, Promotional, MPS) in system tools
.Process deal requests submitted by partners or sales teams within defined Turnaround Time (TAT)
.Maintain accurate deal records and ensure completeness of all required information
.Pricing & Margin Analysi
sConduct detailed price and margin analysis (P&L) for all deal requests
.Validate pricing accuracy in line with approved pricing strategies and policy guidelines
.Support margin optimization through data-driven insights and recommendations
.Deal Validation & Complianc
eReview and validate incoming deals for accuracy, completeness, and adherence to policy
.Perform compliance checks and ensure alignment with country-specific delegation matrices
.Escalate exceptions, non-standard deals, or risks to Product Managers (PMs) or relevant stakeholders
.Approvals & Quotin
gApprove deals within delegated authority using system tools
.Generate and release customer quotes after validation and approvals
.Ensure all pricing approvals are justified and documented
.Stakeholder Communication & Coordinatio
nAct as a key liaison between Sales, Partners, Category teams, and Product Managers
.Provide timely updates on deal status and resolution of queries
.Support stakeholders in using internal and external tools for deal processing
.Reporting & Analytic
sPrepare and deliver sales, claims, and pricing reports for business teams
.Provide analytical insights to support decision-making and business performance improvement
.Track key metrics such as pricing accuracy, margins, and TAT adherence
.Special Pricing & Suppor
tManage special pricing requests, ensuring strong justification and compliance
.Review supporting documentation and provide recommendations for approvals
.Assist sales teams with pricing guidance and deal structuring

.
Key Skills & Competenci
esStrong analytical and financial skills (pricing, margin, P&L analysi
s)Knowledge of sales operations and deal lifecycle manageme
ntAttention to detail and high accuracy in data handli
ngEffective stakeholder management and communicati
onUnderstanding of pricing policies and compliance framewor
ksProficiency in Excel and reporting too
lsAbility to work in SLA-driven, high-volume environmen

ts
Experience & Qualificat
ionBachelor’s degree in Business, Finance, Economics, or related fi
eld2–6+ years of experience in sales operations, pricing, or deal support (level depende
nt)Experience in IT/Technology industry or channel sales environment prefer

red
Key Performance Indicators (K
PIs)Deal processing TAT adhere
nce Pricing accuracy and compliance
rateMargin improvement / profitability contribu
tionStakeholder satisfaction le
velsQuality and timeliness of reports and anal

ysis
Work Ti
mingsNight shifts to support global operations (IST 9:00 pm to 6:am sh

ifts)

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Excel Finance Operations Sales remote

Likely questions

  1. Tell us about work you have done that is close to the Analyst role.
  2. How would you approach your first 30 days at Mphasis?
  3. Which of Data Analysis, Excel and Finance have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Excel and Finance.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Analyst role because I can bring practical experience in Data Analysis, Excel and Finance, learn the team quickly, and contribute to the outcomes Mphasis needs from this hire.

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