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Merchandise Data Analyst Jobs in Spring Branch, TX

Visionworks

Sr. Inventory Analyst

San Antonio, TX · On-site

$62K - $83K/yr

... by Merchandising leadership. Forecast supply and demand of VSP network brand locations; aligns ... transferred data through various planning systems to support demand Pattern key markets in ...

visionworks

Sr. Inventory Analyst

San Antonio, TX · On-site

$62K - $83K/yr

... by Merchandising leadership. Forecast supply and demand of VSP network brand locations; aligns ... transferred data through various planning systems to support demand Pattern key markets in ...

visionworks

Sr. Inventory Analyst

San Antonio, TX

$62K - $83K/yr

... by Merchandising leadership. Forecast supply and demand of VSP network brand locations; aligns ... transferred data through various planning systems to support demand Pattern key markets in ...

SWIVEL

Compliance Investigator II

San Antonio, TX · On-site

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

SWBC

Compliance Investigator II

San Antonio, TX · On-site

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

SWBC

Compliance Investigator II

San Antonio, TX

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

SWIVEL

Compliance Investigator II

San Antonio, TX

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

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All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in Spring Branch, TX

Merchandise Data Analyst information

See Spring Branch, TX salary details

$28.9K

$70.1K

$115.4K

How much do merchandise data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for merchandise data analyst in Spring Branch, TX is $70,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $82,300.00 per year, depending on experience, location, and employer.

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What does a merchandise data analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

What are the key skills and qualifications needed to thrive as a merchandise data analyst?

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

How does a merchandise data analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.

What job categories do people searching Merchandise Data Analyst jobs in Spring Branch, TX look for?

The top searched job categories for Merchandise Data Analyst jobs in Spring Branch, TX are:

What cities near Spring Branch, TX are hiring for Merchandise Data Analyst jobs?

Cities near Spring Branch, TX with the most Merchandise Data Analyst job openings:

Merchandise Data Analyst jobs near you
Infographic showing various Merchandise Data Analyst job openings in Spring Branch, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $70,145 per year, or $33.7 per hour.

Senior Data Scientist Vice President

Citigroup, Inc.

San Antonio, TX • On-site

$113K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks

Job description

The Business Analytics Lead Analyst is a member of the Fusion Analytics Team under FFC. This role will be tasked with creating analytical solutions across all LOB's utilizing statistical and advanced analytical techniques and drive strategic insights and decision making. An ideal candidate will have strong expertise in machine learning, predictive modeling and financial data analysis. Experience in digital fraud detection and cybersecurity will be a strong advantage. You will need to collaborate with cross-functional teams to develop and implement data driven solutions.
Key responsibilities include:
  • Role requires creating analytical solutions to mitigate losses across all LOB's utilizing various statistical/advanced data science techniques.
  • Analysis of compromised cards data from dark web to identify emerging fraud trends, detect suspicious fraud patterns, and anomalies, identify high risk merchants, locations and transaction behaviors.
  • Leverage AI/ML models (eg anomaly detection, graph neural networks, NLP) to anticipate fraudulent behavior.
  • Experience with AI techniques and implement AI powered automation to improve fraud detection efficiency.
  • Develop and enhance data models and algorithms to identify high risk accounts for proactive monitoring and closure. Additionally, assess the impact of compromised cards on fraud losses, use statistical analysis to quantify risk exposure and identify abnormal spending patterns.
  • Collaborate with threat intelligence teams to incorporate external fraud signals into risk models. Identify fraud rings, mule accounts, synthetic identities by linking compromised data to existing customer portfolios.
  • Generate executive level insights and reports for leadership team using advanced visualization techniques and provide regular updates on fraud trends and emerging threats. Provide actionable insights to senior global stakeholders by leveraging data analytics and reporting.
  • Lead POC's with new vendors, evaluating fraud detection tolls, data enrichment platforms and dark web monitoring solutions.
  • Perform ad-hoc analysis on large, unstructured datasets (eg transaction logs, dark web feeds) to identify fraud indicators. Use Python, SQL and SAS to extract, transform and analyze complex datasets.
  • Manage significant fraud events by helping coordinate information sharing across financial crime and fraud prevention Org. Partner with various cross-functional teams such as Fraud Policy, Analytics & Modelling, Security Operations Center to help design intelligence derived solutions to detect fraud.
  • Collaborate with fraud analytics modelling function to understand new fraud detection capabilities, develop new analytical solutions leveraging unstructured data sets and variables.

Job skills/ Qualifications
  • Bachelor's degree in engineering, Statistics, Economics, Finance, Mathematics or a related quantitative field from a premier institute required. (Master's degree not required but beneficial)
  • Minimum 5+ relevant experience in data analysis, data mining, or statistical analysis.
  • Must have a working knowledge of Python, SQL, Teradata, RDBMS, Hadoop/Hive Tools.
  • Experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Preferred), SQL, SAS (required)
  • Experience with AI/ML Frameworks (eg TensorFlow, PyTorch , Scikit-learn)
  • Knowledge of Large language models (LLM's) for text analysis and Fraud Intelligence
  • Experience in Predictive modeling, statistical analysis and machine learning techniques.
  • Ability to analyze large -scale, unstructured data and generate actionable insights
  • Familiarity with digital fraud detection tools and experience working with cybersecurity datasets and threat intelligence platforms.
  • Prior experience in developing dynamic dashboards using visualization tools such as Tableau.
  • Data Science work in any risk domain will be preferable.
  • Experience in identifying fraud patterns in large consumer banking portfolios.
  • Successful candidate will have a demonstrable analytic, problem solving, and leadership skills, and has the ability to deliver projects in a fast-paced environment.
  • Excellent quantitative and analytic skills and data-driven mindset; ability to derive patterns, trends and insights, and perform risk/reward trade-off;
  • Ability to effectively collaborate with cross-functional partners and management
  • Solutions-oriented "can do" attitude, with ability to drive innovation via thought leadership while maintaining end-to-end view.
  • Extremely detail-oriented, with strong, intellectual curiosity. Ability to effectively multi-task and work in a fast-paced and evolving environment, while setting meeting high standards

#LI-BS1
Job Family Group:
Decision Management
Job Family:
Business Analysis
Time Type:
Full time
Primary Location:
San Antonio Texas United States
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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