Customer Engagement Analyst

Creandum Advisor LLP; United States; On-site; USD 80,000 - 130,000; Full time

Benefits offered by this job

Flexible/unlimited vacation

Comprehensive medical, dental, and vision

401(k) plan

Life insurance and FSA plans

Stock options

Equinox gym membership or wellness stipend

Job summary

Creandum Advisor LLP is seeking a Customer Engagement Analyst to join the Customer Engagement team. This early-career role serves as a pathway to becoming a Customer Engagement Manager, involving technical and analytical responsibilities for enterprise accounts.

Candidates should have 1-4 years of relevant experience and excellent communication skills. The position offers comprehensive benefits including flexible vacation, medical plans, and stock options.

Qualifications

• 1-4 years of experience in technical, analytical, or customer-facing role.
• Ability to communicate complex analyses simply.
• Comfortable with spreadsheets and analytical tools.
• Enthusiasm for AI and client solutions.

Responsibilities

• Own the technical platform layer of enterprise accounts.
• Run analyses that drive decisions.
• Build artifacts for customer meetings.
• Contribute to account playbooks and knowledge sharing.

Skills

Strong written communication

Comfort with structured data

Curiosity about customer feedback

Bias toward producing artifacts

Service mindset

Self-driven

Tools

SQL or query languages

AI tools

Feedback platforms (Qualtrics, Medallia, Zendesk)

Job description

About the Opportunity

We're looking for a Customer Engagement Analyst to join our Customer Engagement team and become the technical and analytical backbone behind some of unitQ's largest enterprise accounts. This is the on‑ramp into our Customer Engagement Manager (CEM) track — an early‑career role designed for someone who wants to build a career in enterprise customer success and is willing to start by becoming exceptional at the craft: configuring the unitQ platform, running the analyses, building the artifacts, and learning how enterprise companies actually use customer signal at scale.

You will work alongside our most senior Customer Engagement Managers, supporting accounts that operate at executive altitude. The work is technical, analytical, and consequential.

You should be goal‑oriented, highly organized, and a self‑starter who works well independently or in a team environment. You will work closely with Customer Engagement Managers, our engineering team, and customer‑side stakeholders ranging from analysts to senior leadership.

Role Responsibilities

• Own the platform layer of enterprise accounts — including AI tag configuration, taxonomy structures, filters, dashboards, source enrichment, and the replays and re‑categorizations that keep the platform reflecting the most current customer reality.

• Run the analyses that drive decisions — cohort and subtopic work, anomaly investigations, and trend reports that anchor QBRs, executive briefings, and renewal narratives.

• Build the artifacts that go in front of customers, including the technical and data layer of meeting decks for QBRs, executive steerings, and POC checkpoints.

• Show up in customer‑facing moments as the technical voice on the unitQ side — joining working sessions, training end‑users, and handling first‑line technical questions before they need to elevate.

• Partner cross‑functionally with engineering and product to surface ingestion issues, sentiment shifts, and feature requests sourced from your accounts, translating customer needs into action engineering can take.

• Contribute to the broader Customer Engagement team through account playbooks, AI‑assisted workflow templates, and internal knowledge sharing.

About You

• 1–4 years of experience in a technical, analytical, or customer‑facing role — customer success, technical support, implementation, customer operations, or data & analytics backgrounds all welcome.

• Strong written communication. You can take a complex analysis and turn it into a single paragraph an executive will actually read.

• Comfort with structured data. Spreadsheets, basic SQL or query languages, and the ability to learn new analytical tools quickly.

• Curiosity about how customer feedback works at scale — why categorization matters, how sentiment is measured, how text analytics produces business signal.

• Bias toward producing artifacts. You finish things — decks, analyses, configurations — rather than just having opinions about them.

• Service mindset. The work supports senior CEMs and customer‑side teams; the role thrives on making the team more effective.

• Self‑driven with the ability to independently manage tasks and projects.

• Demonstrated enthusiasm for understanding and applying AI, model‑based, and manual solutions to client problems.

Nice to have

• Prior experience with feedback platforms (Qualtrics, Medallia, Zendesk), survey design, or text analytics.

• Prior experience or knowledge of AI tools, MCP, LLM‑based workflows, or machine learning.

• Prior experience working at a technology company or start‑up environment.

• Exposure to enterprise SaaS or B2B environments where customer relationships are measured in years, not weeks.

Benefits

• Flexible/unlimited vacation

• Comprehensive medical, dental, and vision

• 401(k) plan

• Life insurance and FSA plans

• Stock options

• Equinox gym membership or wellness stipend

$80,000 - $130,000 a year

At unitQ, diversity drives innovation. We celebrate and welcome employees of different backgrounds, cultures, perspectives, and experiences. We're committed to fostering an inclusive environment as our team grows.