Growth & Insights: Customer Strategy Analyst

Saks Fifth Avenue

Direct (TX)

On-site

USD 72,000 - 89,000

Full time

8 days ago
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Benefits offered by this job

Employee discount
Medical insurance
Vision insurance
Dental insurance
401(k) retirement plan

Job summary

Exemplar Luxury Group is seeking a Customer Strategy Analyst to translate complex customer data into actionable growth strategies. You will build foundational SQL models, analyze audience behaviors, and design dynamic reporting that tracks performance across the customer lifecycle.

You will partner with cross-functional teams to identify churn risks, uncover high-value audience segments, and turn raw data into executive-ready recommendations that influence retention and revenue.

Qualifications

  • Bachelor's degree required.
  • 2–3 years of experience in a highly analytical and strategic role.
  • Strong analytical and storytelling ability with data.

Responsibilities

  • Data Analysis & Storytelling: Manipulate and analyze raw datasets in Excel/Sheets to surface key trends and present findings.
  • CRM Collaboration & Ticket Tracking: Submit clear requests to CRM team via Jira for targeted audience lists and monitor progress.
  • Agile Data Extraction: Write basic SQL queries to pull, filter, and aggregate data for ad-hoc questions and routine reporting.
  • Cross Functional Collaboration: Build relationships with cross-functional teams to align on business needs and opportunities.
  • Proactive Problem Solving: Investigate abnormal metric shifts and dig into root causes.

Skills

Excel proficiency
Foundational SQL
Snowflake experience
Jira communication

Education

Bachelor's degree

Tools

Snowflake
Jira

Job description

Exemplar Luxury Group is seeking a Customer Strategy Analyst to translate complex customer data into actionable growth strategies. You will build foundational SQL models, analyze audience behaviors, and design dynamic reporting that tracks performance across the customer lifecycle.

You will partner with cross-functional teams to identify churn risks, uncover high-value audience segments, and turn raw data into executive-ready recommendations that influence retention and revenue.

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