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Entry Level Data Analyst In Fashion Jobs (NOW HIRING)

Tech Consulting

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data Scientist - Role Overview Full-time Training and deployment. Traing will take in ...

TWC Business Unit

Data Analyst (Statewide)

Austin, TX · On-site

$4.83K/mo

... in TWC operations. You are a self-starting and motivated problem solver with excellent data analysis skills. WHAT YOU WILL DO: The Data Analyst I performs entry-level data analysis and data research ...

Ames Construction

Data Analyst

Burnsville, MN

... an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone early in their ...

Beyond SOF

Data Analyst

Columbia, MD

Analyze and define data requirements and specifications. * Collection of metrics and data trends ... Ability to clearly communicate findings in written and verbal fashion. * Develop data standards and ...

City of New York

Data Analyst

Brooklyn, NY · On-site

In this position, reporting directly to the Director of CMS, the Data Analyst will prepare various data integrity reports and will resolve data discrepancies. The Data Analyst will also be ...

LHH US

Data Analyst

Chicago, IL · On-site

$30 - $35/hr

Data Analyst (Entry-Level) Chicago, IL (Hybrid) $30.00 - $35.00 per hour Contract / Contract-to-Hire LHH is seeking a detail-oriented Data Analyst to join a growing team in a hybrid capacity in ...

New

City of New York

Data Analyst

Brooklyn, NY · On-site

In this position, reporting directly to the Director of CMS, the Data Analyst will prepare various data integrity reports and will resolve data discrepancies. The Data Analyst will also be ...

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How much do entry level data analyst in fashion jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level data analyst in fashion in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst in Fashion, and why are they important?

To thrive as an Entry Level Data Analyst in Fashion, you need a solid grounding in statistics, data visualization, and analytical thinking, often supported by a degree in data science, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python, and business intelligence platforms like Tableau is typically required. Strong attention to detail, creativity, and effective communication skills help you interpret trends and present insights to both technical and non-technical stakeholders. These abilities are crucial for turning raw data into actionable strategies that drive business decisions and adapt to the dynamic nature of the fashion industry.

What are some typical projects an entry level data analyst in fashion might work on, and how do they collaborate with other teams?

As an entry level data analyst in the fashion industry, you may work on projects such as analyzing sales trends, evaluating customer purchasing behavior, or monitoring inventory levels to help optimize stock and reduce waste. You'll likely collaborate closely with merchandising, marketing, and e-commerce teams to provide data-driven insights that inform product launches and promotional strategies. Regular communication and teamwork are essential, as your analyses often support decision-making across multiple departments and help improve overall business performance.

What does an Entry Level Data Analyst do in the fashion industry?

An Entry Level Data Analyst in fashion collects, processes, and interprets data to help fashion companies make informed decisions about trends, inventory, and customer preferences. They work with tools like Excel, SQL, and data visualization software to analyze sales figures, consumer behavior, and market trends. Their insights support merchandising, marketing, and product development teams in optimizing strategies and identifying opportunities for growth. This role requires strong analytical skills, attention to detail, and an interest in both fashion and data.

What is the difference between Entry Level Data Analyst In Fashion vs Entry Level Business Analyst In Fashion?

AspectEntry Level Data Analyst In FashionEntry Level Business Analyst In Fashion
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Business, Economics, or related field
Work EnvironmentFashion retail companies, brands, or e-commerce platformsFashion brands, retail companies, or consulting firms
Industry UsageFocuses on analyzing sales, customer data, and trends specific to fashionFocuses on business processes, operations, and strategy within fashion companies

While both roles require a bachelor's degree and involve data analysis, the Entry Level Data Analyst In Fashion specializes in analyzing fashion-specific data such as sales trends and customer behavior. In contrast, the Entry Level Business Analyst In Fashion focuses on improving business processes and strategies within fashion companies. The roles often overlap but serve different core functions within the industry.

Infographic showing various Entry Level Data Analyst In Fashion job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Scientist

Tech Consulting

Tampa, FL • On-site

$35 - $42/hr

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago

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Job description

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions.

Entry-Level Data Scientist – Job Description

Role Overview

Full-time

Training and deployment.

Traing will take in our HQ, which is in Atlanta, GA

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data

Perform exploratory data analysis (EDA) to identify trends and patterns

Build and evaluate machine learning models

Develop data visualizations and dashboards

Work with cross-functional teams (product, engineering, business)

Communicate insights through reports and presentations

Optimize models for performance and scalability

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Strong knowledge of Python (Pandas, NumPy, Matplotlib, Seaborn)

Understanding of statistics and probability

Familiarity with machine learning algorithms

Basic knowledge of SQL

Problem-solving and analytical thinking

Preferred Qualifications (Nice to Have)

Internship or project experience in data science

Experience with libraries like Scikit-learn, TensorFlow, or PyTorch

Knowledge of data visualization tools (Tableau, Power BI)

Basic understanding of cloud platforms (AWS, Azure, GCP)