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Retail Data Analyst Jobs in Delaware (NOW HIRING)

Retail Operations Coordinator

Bethany Beach, DE · On-site

$17.75 - $23.75/hr

Reporting & Data Analysis * Compile daily, weekly, monthly, and seasonal operational reports ... Retail Operations * Assist in the daily operation of: * Beach Shoppe * Beach Concession * Tennis ...

Retail Operations Coordinator

Bethany Beach, DE

$17.75 - $23.75/hr

Reporting & Data Analysis * Compile daily, weekly, monthly, and seasonal operational reports ... Retail Operations * Assist in the daily operation of: * Beach Shoppe * Beach Concession * Tennis ...

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... retail networks, rebates, Specialty/Mail pharmacy services, and brand/generic dynamics. * Advanced ...

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... retail networks, rebates, Specialty/Mail pharmacy services, and brand/generic dynamics. * Advanced ...

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... retail networks, rebates, Specialty/Mail pharmacy services, and brand/generic dynamics. * Advanced ...

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... retail networks, rebates, Specialty/Mail pharmacy services, and brand/generic dynamics. * Advanced ...

Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models ... retail networks, rebates, Specialty/Mail pharmacy services, and brand/generic dynamics. * Advanced ...

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Showing results 1-20

Retail Data Analyst information

See Delaware salary details

$34K

$82.7K

$136.1K

How much do retail data analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for retail data analyst in Delaware is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Retail Data Analyst position, and why are they important?

To thrive as a Retail Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid educational background in mathematics, economics, or a related field. Experience with data analysis tools such as Excel, SQL, Tableau, and often Python or R, along with relevant data analytics certifications, is highly valued. Excellent communication, attention to detail, and problem-solving abilities help candidates translate complex data into actionable business insights. These skills are crucial for turning retail data into strategies that drive sales, optimize inventory, and improve the customer experience.

What are the typical career paths and advancement opportunities for a Retail Data Analyst?

Retail Data Analysts often start by working closely with merchandising, marketing, and operations teams to provide insights on sales trends, customer behavior, and inventory management. Over time, successful analysts can move into senior analyst positions, specialized roles (such as pricing or supply chain analytics), or even transition into management as analytics or business intelligence leads. Many organizations support professional development through training or cross-functional projects, allowing for growth into broader analytics, data science, or strategy roles. This field offers abundant opportunities for those interested in growing their technical expertise and business acumen.

What is a Retail Data Analyst job?

A Retail Data Analyst collects, analyzes, and interprets sales and consumer data to help businesses optimize their retail strategies. They use data-driven insights to improve pricing, inventory management, marketing campaigns, and customer experience. Their role often involves working with databases, visualization tools, and statistical models to identify trends and opportunities. By leveraging data, they help retailers make informed decisions that drive sales and profitability.

What are popular job titles related to Retail Data Analyst jobs in Delaware? For Retail Data Analyst jobs in Delaware, the most frequently searched job titles are:
Infographic showing various Retail Data Analyst job openings in Delaware as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $82,711 per year, or $39.8 per hour.
Senior Data Analyst - Digital (Customer Insights & Analytics)

Senior Data Analyst - Digital (Customer Insights & Analytics)

M&T Bank

Wilmington, DE • On-site

$113K - $188K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

76th of 150 rated banks


Job description

OVERVIEW:

Senior Data Analyst on theDomain Analytics Team, part ofM&T'sCustomerInsights & Analytics Organization.

Weprovideanalytical insights that empower Marketing and Digital Product organizations to drive business growth, strengthen customer relationships, and accelerate digital adoption.

Our work spans:

  • Experimentation & Measurement - Designing and analyzing tests tooptimizecustomer acquisition for Retail and Business Banking segments.

  • Cross-Channel Analytics & Attribution - Understanding how customers interact across channels andidentifyingwhat drives engagement.

  • Digital Journey Analytics - Uncovering insights from web and app behaviors to improve customer experiences.

  • Digital Product Enablement - Partnering with product teams across the development lifecycle to support new feature launches withdata andperformance measurement.

  • Data Products & Ad-Hoc Analysis - Building dashboards and self-servicetools,anddelivering quick-turn insights to answer business questions.

LOCATION:

This role follows a hybrid work model, requiring onsite presence four days per week at one of M&T Bank's regional offices. Candidates must reside within a reasonable commuting distance to one of the following locations:

  • 345 Main Street, Buffalo, NY

  • 115 Federal Street, Boston, MA

  • 1 Light Street, Baltimore, MD

  • 1350 I Street NW, Washington, DC

  • 1100 North Market Street, Wilmington, DE

  • 277 Park Avenue, New York, NY

  • 850 Main Street, Bridgeport, CT

  • 77 Pine Street, Burlington, VT

POSITION RESPONSIBILITIES:

  • Explore, mine, and profile data across multiple large complex datasets to gain and interpret insights for use in statistical and quantitative analytics.

  • Collaboratewith both technical andnontechnicalstakeholders to translate business questions into analytical solutions.

  • Support highquality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.

  • Conduct complex data manipulation and analysis with common programming languages.

  • Track and report performance of multiplecampaigns.Identifydeviationsandexplain variances.Consolidatefindings for business consumption.

  • Developbusiness intelligence solutionsdesigned to meet business needs.

  • Mentorjuniorteam members and engage with peer teams.

  • Understand and adhere to the Company's risk and regulatory standards,policiesand controlsin accordance withthe Company's Risk Appetite.Identifyrisk-related issues needing escalation to management.

  • Design, implement,maintain,and enhance internal controls to mitigate risk on an ongoing basis.Identifyrisk-related issues needing escalation to management.

  • Promote an environment that supports belonging and reflects the M&T Bank brand.

  • Maintain M&T internal control standards, includingtimelyimplementation of internal and external audit points together with any issues raised by external regulators as applicable.

MANAGERIAL/SUPERVISORY RESPONSIBILITY:

No supervisory responsibility.

MINIMUM QUALIFICATIONS REQUIRED:

Bachelor's degree and a minimum of 5 years of related experience.

Experience with data analysis and statistical tools

Experience working in large databases

Experience in SQL and familiarity with common program languages for data analysis (SAS, Python, R).

Experience analyzing large data sets and explaining results of analysis through concise written and verbal communication.

IDEAL QUALIFICATIONS PREFERRED:

6 or more years related work experience in data analysis

Expert skills inSQL and working with relational databases.

Experiencein programming languages such asSAS, Python,R.

Experience with datavisualizationtool (PowerBI, Tableau)

Experience with one or more cloud databases.

Experience working within an agile environment.

Experience analyzing web and digital product data, such as website traffic, user behavior, and events generated by web applications.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBaltimore, Maryland, United States of America

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