Apply on Employer Site

KnitWell Group · 1 day ago

Customer Analytics Analyst

Field Texas 43

Full-time

Onsite

Entry Level

$60K/yr - $70K/yr

1+ years exp

KnitWell Group is a leading omni-channel specialty retailer of women's clothing, shoes and accessories. They are seeking a Customer Analytics Analyst to deliver rigorous analytics across customer and digital channels, ensuring the integrity of digital data and translating findings into actionable recommendations for omni-channel strategies.

ApparelFashionLifestyleRetailWomen's

No H1B

Responsibilities

Deliver rigorous, end-to-end analytics across customer and digital channels to inform strategy and drive measurable business impact

Own the integrity of digital data (e.g., Adobe Analytics), design and evaluate experiments, build customer segmentation/models, and translate findings into clear recommendations for omni-channel retention, reactivation, and acquisition

Serve as the go-to for digital data and metric definitions; govern tracking logic and business rules in Adobe Analytics (error identification, resolution recommendations, testing, and validation)

Partner with Ecommerce/Marketing/Engineering and vendors to fix/add tracking and manage end-to-end QA across Dev/Test/QA/Prod environments

Build and maintain reporting that enables a daily POV on ecommerce performance; optimize report design in in-house tools

Develop robust customer segmentation and predictive models (e.g., clustering, regression, decision trees) to optimize target marketing, promotions, and loyalty efforts; implement models into business workflows

Tie online behaviors to offline purchases and demographics to deepen customer understanding and drive omni-channel strategies

Execute sound test design (A/B, multivariate): sampling, tailored success metrics, and statistical significance (chi-square, t-test, ANOVA, correlation)

Translate business questions into technical requirements; synthesize findings into actionable recommendations aligned to revenue, margin, and customer KPIs

Proactively communicate status, set expectations, and create concise, executive-ready narratives and visuals that guide action

Partner across Ecommerce, Email, Online Marketing, Merchandising, Loyalty, Stores, Finance, and Planning to prioritize and deliver impact

Leverage modern AI/LLM tools to improve efficiency in code development, documentation, and context capture

Qualification

SQLAdobe AnalyticsStatistical softwareCustomer segmentationStatistical techniquesData wranglingQuantitative analysisProblem-solvingProject managementCommunication skills

Required

Bachelor's degree in a quantitative field such as applied math, statistics, engineering, economics, computer science (or similar)

1-3 years of relevant work experience spanning online and offline data

Proficiency in SQL and statistical software such as R, Python, or SAS

Experience with Adobe Analytics / Adobe Workspace and advanced Excel (pivot tables, formulas)

Experience with data wrangling tools and techniques such as joins, filters, imputation, fuzzy matching

Experience with statistical significance techniques such as t-test, ANOVA, correlation, or others

Experience using statistical techniques such as regression, clustering, survival analysis, decision trees, event-based modeling

Strong quantitative, analytical, and problem-solving skills

Ability to manage multiple projects and deliver against aggressive deadlines

Experience troubleshooting and/or debugging and translating requirements into technical specifications

Benefits

You will be eligible to receive a merchandise discount at select KnitWell Group brands, subject to each brand’s discount policies.

Support for your individual development plus opportunities for career mobility within our family of brands.

A culture of giving back – local volunteer opportunities, annual donation and volunteer match to eligible nonprofit organizations, and philanthropic activities to support our communities.

Medical, dental, vision insurance & 401(K).

Employee Assistance Program (EAP).

Time off – paid time off & holidays.