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60 Global Technical Talent Data Analyst Jobs Hiring Near You

Global Technical Talent

Data Analyst

Saint Paul, MN · On-site

Collaborate with business, analytical teams, and data scientist to improve efficiency, increase the ... Perform technical reviews of designs and code development by other team members * Work closely with ...

Global Technical Talent

Data Analyst

Saint Paul, MN · On-site

Collaborate with business, analytical teams, and data scientist to improve efficiency, increase the ... Perform technical reviews of designs and code development by other team members * Work closely with ...

Global Technical Talent

Data Analyst

Saint Paul, MN · On-site

Data Analyst Location: St. Paul, MN Contract Details: * Position Type: Contract * Pay Rate ... Perform technical reviews of designs and code development by other team members * Work closely with ...

Global Technical Talent

Data Analyst

Saint Paul, MN

Collaborate with business, analytical teams, and data scientist to improve efficiency, increase the ... Perform technical reviews of designs and code development by other team members * Work closely with ...

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What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What other companies are hiring for Data Analyst jobs?
What are the most popular jobs at Global Technical Talent?
What are the most popular categories at Global Technical Talent?
Infographic showing various Data Analyst job openings at Global Technical Talent in the United States as of May 2026, with employment types broken down into 1% Full Time, and 99% Contract. Highlights an 84% Physical, 14% Hybrid, and 2% Remote job distribution.
Data Analyst

Data Analyst

Global Technical Talent

Saint Paul, MN • On-site

Contractor

Medical, Dental, Vision, Retirement

Posted 12 days ago

Job description

Data AnalystLocation

St. Paul, MN

Contract Details
  • Position Type: Contract
  • Pay Rate: undefined (USD)
Job Summary

Join a core team to deliver analytical solutions related to ERP cloud-based technologies from end-to-end (data ingestion to consumption).

Key Responsibilities
  • Join a core team to deliver analytical solutions related to ERP cloud-based technologies from end-to-end (data ingestion to consumption)
  • Develop and maintain scalable data models that will consume data from our S/4HANA, Business Warehouse (BW/4HANA), and Data Lake platforms including SAP Datasphere
  • Identify, design, and implement process improvements for automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
  • Self-motivated, self-directed with strong problem-solving skills
  • Develop an understanding of business processes, data flows and strategy
  • Host and participate in development of prototype solutions to support and prove business and technology concepts
  • Attend Data Engineering/SAP user groups, training, or conferences to learn new technologies and skills
  • Adhere to programming/development deadlines as determined by senior team member
  • Collaborate with business, analytical teams, and data scientist to improve efficiency, increase the applicability of predictive models, and help translate ad-hoc analyses into scalable data delivery solutions
  • Consult on data ingestion, data modeling, security, and capabilities
  • Manage the innovation cycle of conducting analyses, generating insights
  • Perform technical reviews of designs and code development by other team members
  • Work closely with team members to establish BI Data Engineering community of best practices
  • Support business decisions with ad-hoc analysis as needed
Required Skills
  • Self-motivated, self-directed with strong problem-solving skills
  • Data modeling and design
  • SAP ERP cloud technologies (S/4HANA, BW/4HANA, SAP Datasphere)
  • Data ingestion and data lake platform experience
  • Process improvement and automation
  • Collaboration and communication skills
  • Technical code and design review capabilities
Benefits
  • Medical, Vision, and Dental Insurance Plans
  • 401k Retirement Fund

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About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number

26-02650

#gttjobs

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About Global Technical Talent

Sourced by ZipRecruiter

Global Technical Talent, based in Portsmouth, NH, US, is a leading provider of IT staffing solutions. Their services, as detailed on their official website gttit.com, operate in the niche domain of Information Technology, with a broad range of services from contract and permanent staffing to managed services. The company was established with a vision to bridge the talent gap in the technology sector, a mission they continue to pursue with sustained fervor.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Portsmouth, NH, US

Year founded

1999

Social media

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