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Entry Level Data Analyst In Fashion Jobs (NOW HIRING)

Skylimit Systems

Data analyst

New York, NY · On-site

$60K - $65K/yr

Data Analyst (Entry-Level) Location: New York, NY Experience Level: 0-3 years About the Company We ... This role is ideal for someone early in their career who enjoys working with numbers, identifying ...

NEIGHBORHOOD FAMILY PRACTICE

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Education: Bachelor's degree required, preferably in a related field. * Experience: Entry-level EMR reporting and analyzing clinical data experience * Skills: Proficient in Microsoft Excel ...

Surya Systems

Data Analyst

Exton, PA

$140.15K - $145K/yr

Surya Systems seeks Data Analyst at Exton, PA & various unanticipated locations in U.S.: Support & execute analysis in customer/product/business/cost/media/people domains. Req. Masters degree in IT ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Company Description Client is one of the largest independent banks headquartered in California ... Conduct data analysis, data integration, and data management * Identify and develop new data ...

Ole Mexican Foods Inc

Data Analyst/Sales

Norcross, GA · On-site

As one of the leading companies in traditional Mexican products, we operate more than 30 divisions ... This position as The Data Analyst at Olé plays a crucial role in supporting strategic decision ...

TheHomeMag

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Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are ... In this role, you will support business intelligence initiatives by gathering, organizing, and ...

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Entry Level Data Analyst In Fashion information

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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 analyst

Skylimit Systems

New York, NY • On-site

$60K - $65K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst (Entry-Level)

Location: New York, NY

Experience Level: 0–3 years


About the Company

We are a fast-growing SMB lending company focused on providing flexible financing solutions to small and medium-sized businesses. Our team leverages data-driven insights to make smart, fast, and responsible lending decisions that help businesses grow.


Role Overview

We are looking for a highly motivated, detail-oriented Data Analyst to join our team. This role is ideal for someone early in their career who enjoys working with numbers, identifying patterns, and turning raw data into meaningful insights that drive business decisions.

You will play a key role in analyzing loan performance, underwriting data, and operational metrics to support lending strategy and improve overall efficiency.


Key Responsibilities

  • Analyze large datasets related to loan applications, approvals, and performance
  • Identify trends, risks, and opportunities within lending data
  • Build and maintain reports and dashboards for internal stakeholders
  • Assist in underwriting analysis and risk assessment models
  • Clean, organize, and validate data to ensure accuracy and consistency
  • Collaborate with operations, sales, and leadership teams to support data-driven decisions
  • Monitor key performance indicators (KPIs) and provide actionable insights


Qualifications

  • Bachelor’s degree in Finance, Economics, Mathematics, Data Analytics, or a related field
  • 0–3 years of experience in data analysis or a similar role (internships included)
  • Strong proficiency in Excel (required); experience with SQL, Python, or BI tools (Tableau, Power BI) is a plus
  • Analytical mindset with strong attention to detail
  • Ability to interpret data and communicate findings clearly
  • Comfortable working in a fast-paced, entrepreneurial environment


What We’re Looking For

  • Someone who enjoys digging into data and solving problems
  • Naturally curious and eager to learn
  • High ownership and accountability
  • Strong work ethic and willingness to grow with the company


Why Join Us

  • Opportunity to work directly with leadership and impact key decisions
  • Hands-on experience in the fintech and SMB lending space
  • Fast-paced environment with real growth potential
  • Collaborative and entrepreneurial team culture