Job Description
Join to apply for the Senior Data Analyst role at Z SUPPLY
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Join to apply for the Senior Data Analyst role at Z SUPPLY
This range is provided by Z SUPPLY. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $90,000.00/yr - $125,000.00/yr
SR. DATA ANALYST, BUSINESS INTELLIGENCE
Z SUPPLY is an established California women’s lifestyle brand that is leading the space for casual, comfortable style. Located in the heart of Orange County, we are passionate about staying true to our roots and living a life of good vibes in and out of the office. Our culture is collaborative, fast-paced, and team oriented. We are inspired by our creative mission, engaged in our everyday work, and enjoy partnering with our teammates and customers.
We are currently seeking a Sr. Data Analyst, Business Intelligence who has a deep understanding of the fashion and apparel industry and is a master of data science methodologies. This role will be critical in leveraging data to generate actionable insights that support key strategic decisions. This individual will be a central, Sr. Data Analyst for the company, providing reporting & analysis that supports finance, e-commerce, wholesale, buying and other departments as needed.
Position Type: Full Time / Salary Exempt
Reporting To: VP of Ecommerce
Location: Z SUPPLY Headquarters - Costa Mesa, CA
Work Type : Hybrid Position - Partial In Office 3-4 Days / Partial Remote 1-2 days
Position Duties / Responsibilities
Create and maintain analytical reports that guide e-commerce and wholesale business strategies.
Automate and streamline data analysis workflows.
Utilize data to derive actionable insights in areas such as customer retention, customer segmentation, and product return rates.
Reconcile and distribute weekly/monthly reports for finance, e-commerce and other departments as needed.
Manage end-to-end data analysis tasks, including data extraction, cleaning, analysis, and interpretation.
Create & maintain intuitive dashboards and visualizations to communicate insights to stakeholders.
Collaborate with cross-functional teams to align business objectives with data analysis.
Stay informed about the latest trends, technologies, and methodologies in the data science field and the fashion and apparel industry.
Qualifications / Experience / Required Skills / Competencies
Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or related field
A minimum of 7-10+ years of experience as a Sr. Data Analyst, preferably within the fashion and apparel industry.
Strong Tableau experience required.
Proficiency with other data visualization tools such as Google Analytics, Looker (Data Studio), etc.
Must have exceptional communication skills (both written and oral). Able to simplify complex data.
Experience in statistical programming languages such as R or Python is preferred.
Experience with SQL and familiarity with database management. AWS or Shopify experience is a plus.
Fluent in AI. Ability to interpret outputs from machine learning and AI systems and convert them into strategic insights.
Advanced understanding of data science methodologies, including but not limited to:
Data collection and cleaning: Experience with various data collection methodologies and the capacity to clean and standardize data for analysis.
Statistical analysis: Capability to interpret and analyze data using statistical techniques and deliver ongoing reports.
Data mining: Knowledge of data mining techniques to extract significant insights from large datasets.
Predictive modeling and analytics: Experience with predictive models and analytics to anticipate trends and business outcomes.
Machine Learning experience is a plus.
Comprehensive understanding of various department level reporting including, but not limited to: Finance, Operations, Logistics, Ecommerce, Wholesale, Buying and Planning.
Self-starter and curious mindset.
High attention to detail and accuracy.
Strong problem-solving skills and the ability to work independently.
Other tasks as assigned.
Must be able to legally work in the U.S. without restriction or sponsorship.
TYPICAL WORKING CONDITIONS / EQUIPMENT USED / PHYSICAL TASKS
Office / Desk Workstation
Air Conditioned
Computer / Laptop / Standard Office Equipment
Frequent use of hands with computers typing / dexterity
Occasional twisting while moving product / computer workstation
Z SUPPLY PERKS
At Z SUPPLY, Departments Work Cross-functionally Enabling Individuals To Further Their Knowledge And Expertise In An Inclusive And Supportive Environment. In Addition To a Collaborative And Supportive Culture, Here Are a Few Additional Perks That Are Enjoyed By The Z SUPPLY Team
Hybrid partial remote/in-office work schedule
Half-day Friday’s year round
Generous clothing discount
Comprehensive benefits package that includes medical, dental, and vision insurance coverage
401K with discretionary annual company match
New chic and modern offices located near top restaurants and shopping.
Positive, collaborative company culture.
SALARY RANGE
$90,000-$125,000 Annually
As required by applicable Pay Transparency laws, Z SUPPLY provides a range of compensation for roles that may be hired in locations under these requirements. To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, internal parity and other relevant factors. Flexibility outside of the salary range listed may be considered based on additional skills or qualifications a candidate may possess that may justify additional compensation. Company paid health benefits, PTO, bonus and other various company perks are not included in the salary range listed above and are considered additional compensation.
Want to join our amazing growing team? Apply today!
We hope we get the chance to work with you!
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Information Technology
Industries Retail Apparel and Fashion
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Job Tags
Full time, Part time, Casual work, Remote job,