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Customer Success Consultant

The Evolvers Group

Remote • Today

Easy Apply

Contract

Depends on Experience

SAP CS- Customer Service Consultant

Innova Solutions, Inc

Philadelphia, Pennsylvania • 11d ago

Easy Apply

Contract

Depends on Experience

Customer Engagement Consultant

Trans Union LLC

Reston, Virginia • Today

Full-time

USD 72,300.00 - 105,000.00 per year

Customer Engagement Consultant

Trans Union LLC

Pennsylvania • Today

Full-time

USD 72,300.00 - 105,000.00 per year

Customer Engagement Consultant

Trans Union LLC

Chicago, Illinois • Today

Full-time

USD 72,300.00 - 105,000.00 per year

Customer Program Management Consultant

Celestica International LP

Remote • Today

Full-time

USD 123,000.00 - 170,000.00 per year

Customer Experience Management Consultant, Medallia

Deloitte

Atlanta, Georgia • 5d ago

Full-time

USD 86,700.00 - 170,900.00 per year

10 - Consultant, Customer Business Unit Program Mgmt 1

Celestica International LP

Fort Worth, Texas • Today

Full-time

Lead Transformation Consultant

Prismagic Solutions Inc

Harrisburg, Pennsylvania • Yesterday

Easy Apply

Full-time

$140000 - $170000

Salesforce Solution Consultant

Oloop Technology Solutions

Remote or Aurora, Illinois • 14d ago

Easy Apply

Third Party, Contract

Technology Partner Success Manager

Vaco by Highspring

St. Petersburg, Florida • Yesterday

Easy Apply

Full-time

Depends on Experience

Senior Solution Consultant

i3 Verticals

Nashville, Tennessee • 28d ago

Full-time

Solutions Consultant

BILL

New York, New York • 4d ago

Full-time

USD 147,200.00 - 176,500.00 per year

Technical Solution Consultant

Bottomline

Portsmouth, Virginia • 30+d ago

Full-time

Sr. Service Experience Consultant, Client Services Go-to-Market Services

Visa

Foster City, California • 5d ago

Full-time

USD 149,800.00 - 240,100.00 per year

Oracle CX Cloud Consultant (CRM)

iQuest Solutions Corp

Denver, Colorado • 9d ago

Easy Apply

Contract, Third Party

Operations Support Consultant

SOHO Square Solutions

Hybrid in New York, New York • Yesterday

Easy Apply

Contract

Depends on Experience

Salesforce Consultant

Crowe LLP

Denver, Colorado • Today

Full-time

USD 79,100.00 - 156,600.00 per year

Salesforce Consultant

Crowe LLP

Denver, Colorado • 7d ago

Full-time

USD 79,100.00 - 156,600.00 per year

Salesforce Consultant

Cherokee Federal

Remote • Today

Full-time

USD 140,000.00 - 160,000.00 per year

Senior Consultant

Appian

McLean, Virginia • Today

Full-time

Compensation information provided in the description

Benefit Experience Senior Consultant

Aon Corporation

New York, New York • 5d ago

Full-time

USD 100,000.00 - 135,000.00 per year

Partner Success Senior Manager

Dynasty Financial Partners

St. Petersburg, Florida • 10d ago

Full-time

Sr. Consultant

Robert Half

Atlanta, Georgia • Today

Easy Apply

Full-time

USD 90,000.00 - 100,000.00 per year

Senior Solution Consultant, Commerce & Loyalty West

ID.me

Mountain View, Arkansas • 5d ago

Full-time

USD 181,000.00 - 230,000.00 per year

Salesforce Consultant, Functional Transformation

Deloitte

Arlington, Virginia • Today

Full-time

USD 82,600.00 - 162,800.00 per year

Salesforce Consultant and Solution Architect

Crowe LLP

Chicago, Illinois • Today

Full-time

USD 103,200.00 - 210,900.00 per year

SuccessFactors Consultant

Precision System Design Inc.

Remote or Hybrid • Today

Easy Apply

Contract

DOE

PeopleSoft CRM Consultant

IRIS Software, Inc.

Remote • 17d ago

Easy Apply

Third Party, Contract

Depends on Experience

Salesforce Solution Consultant

Cherokee Federal

Remote • Today

Full-time

USD 130,000.00 - 140,000.00 per year

Job Details

Skills

SQL
Python
analytics

Summary

Title: Customer Success Technical Analyst

Work Location: Rockville, MD (Remote)

Contract: 12+ months contract

Position Summary:

We are seeking a Customer Success Technical Analyst to support the Sr. Manager, Customer Success on the Medicine Supply Map (MSM) team. This is a hands-on analytical role: you will use the MSM product to run live demonstrations that answer customer questions in real time, conduct your own supporting analysis, and translate customer needs into data-driven answers. You will also bring the voice of the customer into how we shape and communicate insights — combining technical rigor with strong business context.

Key Responsibilities:

Support the Sr. Manager, Customer Success as the primary analytical resource for customer engagements, renewals, and account
Build dashboards, notebooks, and lightweight internal tools that turn recurring customer questions into repeatable, self-serve assets for the CS and account teams.
Design and iterate on new views, visualizations, and analytical workflows on top of MSM data — not just consume what the frontend surfaces today.
Serve as a power user of the MSM frontend — run live demonstrations to answer customer questions in real time during calls, briefings, and business reviews.
Conduct hands-on data analysis using SQL, Python (pandas), and analytical tools to answer questions that go beyond what the MSM frontend surfaces directly.
Perform statistical and diagnostic analytics to explain supply chain events, customer usage patterns, and product adoption.
Query and join data across MSM datasets and supporting sources; validate data quality and reconcile discrepancies before presenting findings.
Serve as the voice of the customer within the MSM team — synthesize interviews, support interactions, and account feedback into structured insight for product and analytics teams
Translate customer questions into scoped analytical work; validate that outputs answer the underlying business question.
Provide business and industry context to analytical findings, framing insights in terms of customer decisions, market dynamics, and commercial implications.
Develop customer-facing artifacts: case studies, briefings, quarterly business review content, and thought leadership drawn from MSM data and demonstrations.
Partner with the MSM product and engineering team to surface gaps in the frontend that limit the ability to answer customer questions live; contribute to prioritization of enhancements.
Document analytical methodology, data sources, and assumptions to support repeatability and audit.
Stay current on pharmaceutical supply chain trends, competitive intelligence, and the customer segments served by USP.

Basic Qualifications:

Bachelor's degree in Business Analytics, Economics, Statistics, Data Science, Public Health, Life Sciences, or a related quantitative field.
3+ years of experience in a hands-on analytical role — business analyst, product analyst, customer analytics, sales engineering, or management consulting with a data component.
Demonstrated ability to become a power user of a SaaS analytics product and use it live in front of customers to answer ad-hoc questions.
Familiarity with predictive modeling and predictive-model-driven products.
Proficiency in SQL for querying and joining across relational datasets.
Working proficiency in Python (pandas) or R for data manipulation and analysis.
Own analyses end-to-end: from scoping the customer question, to sourcing and modeling the underlying data, to building the dashboard or tool, to delivering the insight and driving adoption with CS and customer
Solid statistical foundation: descriptive and diagnostic statistics, trend analysis, cohort and segment analysis.
Strong business acumen; able to frame analytical findings in terms of customer value, market dynamics, and commercial outcomes.
Excellent communication and presentation skills — poised in live customer settings, able to think on your feet, and able to translate between technical and business audiences.
Demonstrated experience gathering and synthesizing voice-of-customer input (interviews, surveys, account feedback) into actionable insight.
Structured problem solving; able to scope ambiguous business questions into concrete analytical work.
Eagerness to work in a fast-paced healthcare or pharmaceutical environment.

Preferred Qualifications:

MBA or equivalent graduate degree with a focus on analytics, strategy, or healthcare.
Master's in Data Analytics, Statistics, or a related quantitative field.
Prior sales engineering, solutions consulting, or customer-facing analyst experience with a data or analytics product.
Experience in healthcare, pharmaceutical supply chains, life sciences, or a related regulated industry.
Familiarity with market research or competitive intelligence methodologies.
Experience developing customer-facing content — case studies, briefings, quarterly business reviews — from analytical work.
Understanding of pharmaceutical supply chain concepts (APIs, FDFs, drug shortages, supply chain resiliency).
Familiarity with product analytics tools (Amplitude, Mixpanel, Pendo) and CRM data (Salesforce, HubSpot).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: evol001
Position Id: 9142237
Posted 6 hours ago

Fitment

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Robert Bookheim

Recruiter @ The Evolvers Group

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Job Details

Skills

SQL
Python
analytics

Summary

Title: Customer Success Technical Analyst

Work Location: Rockville, MD (Remote)

Contract: 12+ months contract

Position Summary:

Key Responsibilities:

Support the Sr. Manager, Customer Success as the primary analytical resource for customer engagements, renewals, and account
Build dashboards, notebooks, and lightweight internal tools that turn recurring customer questions into repeatable, self-serve assets for the CS and account teams.
Design and iterate on new views, visualizations, and analytical workflows on top of MSM data — not just consume what the frontend surfaces today.
Serve as a power user of the MSM frontend — run live demonstrations to answer customer questions in real time during calls, briefings, and business reviews.
Conduct hands-on data analysis using SQL, Python (pandas), and analytical tools to answer questions that go beyond what the MSM frontend surfaces directly.
Perform statistical and diagnostic analytics to explain supply chain events, customer usage patterns, and product adoption.
Query and join data across MSM datasets and supporting sources; validate data quality and reconcile discrepancies before presenting findings.
Serve as the voice of the customer within the MSM team — synthesize interviews, support interactions, and account feedback into structured insight for product and analytics teams
Translate customer questions into scoped analytical work; validate that outputs answer the underlying business question.
Provide business and industry context to analytical findings, framing insights in terms of customer decisions, market dynamics, and commercial implications.
Develop customer-facing artifacts: case studies, briefings, quarterly business review content, and thought leadership drawn from MSM data and demonstrations.
Partner with the MSM product and engineering team to surface gaps in the frontend that limit the ability to answer customer questions live; contribute to prioritization of enhancements.
Document analytical methodology, data sources, and assumptions to support repeatability and audit.
Stay current on pharmaceutical supply chain trends, competitive intelligence, and the customer segments served by USP.

Basic Qualifications:

Bachelor's degree in Business Analytics, Economics, Statistics, Data Science, Public Health, Life Sciences, or a related quantitative field.
3+ years of experience in a hands-on analytical role — business analyst, product analyst, customer analytics, sales engineering, or management consulting with a data component.
Demonstrated ability to become a power user of a SaaS analytics product and use it live in front of customers to answer ad-hoc questions.
Familiarity with predictive modeling and predictive-model-driven products.
Proficiency in SQL for querying and joining across relational datasets.
Working proficiency in Python (pandas) or R for data manipulation and analysis.
Own analyses end-to-end: from scoping the customer question, to sourcing and modeling the underlying data, to building the dashboard or tool, to delivering the insight and driving adoption with CS and customer
Solid statistical foundation: descriptive and diagnostic statistics, trend analysis, cohort and segment analysis.
Strong business acumen; able to frame analytical findings in terms of customer value, market dynamics, and commercial outcomes.
Excellent communication and presentation skills — poised in live customer settings, able to think on your feet, and able to translate between technical and business audiences.
Demonstrated experience gathering and synthesizing voice-of-customer input (interviews, surveys, account feedback) into actionable insight.
Structured problem solving; able to scope ambiguous business questions into concrete analytical work.
Eagerness to work in a fast-paced healthcare or pharmaceutical environment.

Preferred Qualifications:

MBA or equivalent graduate degree with a focus on analytics, strategy, or healthcare.
Master's in Data Analytics, Statistics, or a related quantitative field.
Prior sales engineering, solutions consulting, or customer-facing analyst experience with a data or analytics product.
Experience in healthcare, pharmaceutical supply chains, life sciences, or a related regulated industry.
Familiarity with market research or competitive intelligence methodologies.
Experience developing customer-facing content — case studies, briefings, quarterly business reviews — from analytical work.
Understanding of pharmaceutical supply chain concepts (APIs, FDFs, drug shortages, supply chain resiliency).
Familiarity with product analytics tools (Amplitude, Mixpanel, Pendo) and CRM data (Salesforce, HubSpot).

Dice Id: evol001
Position Id: 9142237
Posted 6 hours ago

Fitment