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Executive Retail Data Analyst Jobs in Minnesota (NOW HIRING)

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making. * Complete recurring data processing activities, including file ...

Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making. * Complete recurring data processing activities, including file ...

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

JOB SUMMARYThe Data Analyst is responsible for supporting business operations through reporting ... ROLES & RESPONSIBILITIESWork with executives and other business leaders to identify opportunities ...

Retail Data Collector CROSSMARK is a leading sales and marketing services company in the consumer ... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ...

Retail Data Collector CROSSMARK is a leading sales and marketing service company in the consumer ... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Advanced data visualization skills; building interactive, executive ready dashboards in tools like Power BI, Looker, Tableau, etc. * Solid problem solving, analytical skills, data curiosity, data ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Advanced data visualization skills; building interactive, executive ready dashboards in tools like Power BI, Looker, Tableau, etc. * Solid problem solving, analytical skills, data curiosity, data ...

OpEx Data Analyst Working at Abbott At Abbott, you can do work that matters, grow, and learn, care ... female executives, and scientists. The Opportunity This position works out of our Plymouth ...

OpEx Data Analyst Working at Abbott At Abbott, you can do work that matters, grow, and learn, care ... female executives, and scientists. The Opportunity This position works out of our Plymouth ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a Retail Inventory Specialist, you would be a part of our CROSSMARK ...

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Executive Retail Data Analyst information

What is an executive retail data analyst?

Executive Retail Data Analysts are professionals who collect, interpret, and analyze data related to retail operations at a strategic level. They help organizations make data-driven decisions by identifying trends, forecasting sales, optimizing inventory, and improving customer experiences. Their insights inform executive teams on market performance, consumer behavior, and business opportunities. These analysts often use advanced analytics tools and collaborate with multiple departments to support the company’s overall objectives.

How does an executive retail data analyst typically collaborate with other departments to drive business decisions?

An Executive Retail Data Analyst frequently works cross-functionally with marketing, merchandising, supply chain, and executive leadership teams. This collaboration involves gathering input on business goals, sharing analytical findings, and jointly developing strategies to optimize sales, inventory, and customer experience. Regular meetings and data presentations are common, ensuring that data-driven insights inform key decisions across the organization. Effective communication skills and the ability to translate complex data into actionable recommendations are essential for success in this role.

What are the key skills and qualifications needed to thrive as an executive retail data analyst, and why are they important?

To thrive as an Executive Retail Data Analyst, you need strong analytical abilities, expertise in data interpretation, and a background in business, statistics, or a related field, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, Tableau, and familiarity with retail management systems and advanced Excel functions are typically required. Exceptional communication, problem-solving, and strategic thinking skills distinguish top performers in this role. These skills enable analysts to translate complex data into actionable insights that drive retail business strategies and optimize performance.

What is the difference between Executive Retail Data Analyst vs Retail Data Analyst?

AspectExecutive Retail Data AnalystRetail Data Analyst
Required CredentialsBachelor's degree in Business, Data Science, or related field; experience in retail analytics; proficiency in data toolsBachelor's degree in similar fields; experience in data analysis; familiarity with retail metrics
Work EnvironmentStrategic roles, senior-level projects, cross-department collaborationOperational roles, data reporting, daily retail analytics tasks
Employer & Industry UsageRetail chains, e-commerce companies, retail consulting firmsRetail stores, online retail platforms, supply chain companies

The main difference between an Executive Retail Data Analyst and a Retail Data Analyst lies in their level of responsibility and scope. The Executive Retail Data Analyst typically handles strategic decision-making and oversees complex analytics projects, while the Retail Data Analyst focuses on operational data reporting and day-to-day analysis. Both roles require similar educational backgrounds and technical skills, but the executive position involves higher-level planning and cross-department collaboration.

What are the most commonly searched types of Retail Data Analyst jobs in Minnesota?

The most popular types of Retail Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Executive Retail Data Analyst jobs?

Cities in Minnesota with the most Executive Retail Data Analyst job openings:

$50K - $60K/yr

Full-time

Posted 13 days ago


Job description

JOB SUMMARY
The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, and partners with stakeholders to identify opportunities for improved efficiency and decision making. Success in this role requires strong analytical thinking, attention to detail, problem-solving ability, and a passion for leveraging data to drive business outcomes.
ROLES & RESPONSIBILITIES
  • Work with executives and other business leaders to identify opportunities for process improvement and data-driven decision making.
  • Complete recurring data processing activities, including file creation, validation, quality control reviews, report generation, and distribution.
  • Develop, maintain, and enhance performance reporting used by internal stakeholders to monitor key business metrics and trends.
  • Analyze large datasets to identify patterns, trends, anomalies, and opportunities for operational improvement.
  • Support analytical projects by gathering requirements, preparing data, conducting analysis, and communicating findings.
  • Define, document, and improve business processes that enhance the value and usability of internal and external data.
  • Collaborate with cross-functional teams to implement analytical solutions that improve efficiency, reporting, and business outcomes.
  • Validate process changes and business initiatives to measure effectiveness and quantify operational impact.
  • Research data integrity issues, troubleshoot discrepancies, and ensure the accuracy and reliability of reports and datasets.
  • Create and maintain process documentation, data definitions, validation procedures, and reporting methodologies.
REQUIREMENTS
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, Data Analytics, MIS, or Computer Science; equivalent experience will also be considered.
  • Proficiency in Excel; experience with SAS, SQL, or relational databases is highly desired.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail, communication skills, and the ability to manage multiple priorities in a fast-paced environment.
  • Self-motivated and able to work independently while also contributing effectively within a team environment.