Artech Design Group

73 Artech Data Analyst Jobs Hiring Near You

Applicants must be able to work directly for Artech on W2. * Must have technical skills required ... Design, implement, automate, and maintain large-scale enterprise data ETL processes. * Modify ...

Data Analyst

Charlotte, NC · On-site

$45 - $53/hr

Data Analyst Locations: CHARLOTTE, NC Duration: 6 Months Salary Range: $45 - $53/Hour on W2 (All ... Applicants must be able to work directly for Artech on W2 Preferred Skills & Qualifications

Data Analyst - Sr

Plano, TX · Hybrid

$45.65 - $50/hr

Data analyst Duration: 12 months Location: Must sit onsite in Plano, TX or Richmond, VA hybrid ... Applicants must be able to work directly for Artech on W2 Preferred Skills & Qualifications

Head of Group Data Enablement

Trenton, NJ · On-site

$152.29K - $250.20K/yr

Role Purpose The Group Data Enablement Lead activates Guardian's enterprise data management ... Ensure upstream data supports analytics, BI, applications, and AI use cases by design, not through ...

Head of Group Data Enablement

Bethlehem, PA · On-site

$152.29K - $250.20K/yr

Role Purpose The Group Data Enablement Lead activates Guardian's enterprise data management ... Ensure upstream data supports analytics, BI, applications, and AI use cases by design, not through ...

Role Purpose The Group Data Enablement Lead activates Guardian's enterprise data management ... Ensure upstream data supports analytics, BI, applications, and AI use cases by design, not through ...

Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications ... Analyze service performance and customer data, uncover trends, and provide insights to the ...

As a member of the Data, Analytics and reporting to the Head of Data Management, the Data Analyst ... Coordinate and prepare for Data Leadership Group, Data Steward Working Group, and Data Quality ...

Showing results 21-40

Artech Design Group Jobs Information

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 is it like to work at Artech?

Artech is a global IT consulting and staffing company that values a collaborative and dynamic work environment, fostering a culture of innovation and teamwork.

The company's team structure is designed to support a client-centric approach, with a flat organizational hierarchy and a focus on empowering employees to take ownership of their projects. Artech's offices are equipped with modern amenities and technology, providing a comfortable and productive workspace for employees.

Working at Artech may appeal to candidates who are looking for a challenging and rewarding career in the IT industry, with opportunities for professional growth and development in a fast-paced and global environment.
What are the most popular categories at Artech?
Infographic showing various Data Analyst job openings at Artech in the United States as of May 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Data Analyst

Artech

Pittsburgh, PA • Hybrid

Other

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


Job description

Job Title

Join our dynamic team where you will play a crucial role in mitigating risk through the LEAD CECL application project.

Location: Pittsburgh, PA, 15222 / Cleveland, OH, 44136 / Dallas, TX, 75234 / Birmingham, AL, 35233 / Phoenix, AZ, 85016 - Could be hybrid, but may move to 5 days/week in office. Must be amenable to 5 days in office.

Salary Range: Competitive and commensurate with experience.

Required Skills & Qualifications
  • Applicants must be able to work directly for Artech on W2.
  • Must have technical skills required for the role:
    • Teradata platform, 5 - 7 years of experience required.
    • Informatica data analysis and profiling, 5 - 7 years of experience required.
  • Flex skills / nice to have:
    • Prior enterprise data warehouse and banking domain experience, 1-3 years of experience required.
    • Well-rounded understanding of the full development cycle/process.
Preferred Skills & Qualifications
  • Experience with large-scale enterprise data ETL processes.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills and ability to work collaboratively in a team environment.
Day-to-Day Responsibilities
  • Collaborate with senior management, technical, and client teams to determine data requirements.
  • Implement best practices for advanced data manipulation, storage, and analysis.
  • Design, implement, automate, and maintain large-scale enterprise data ETL processes.
  • Modify existing databases and direct programmers/analysts to make changes.
  • Test programs or databases, correct errors, and make necessary modifications.
Company Benefits & Culture
  • Inclusive and diverse work environment.
  • Opportunities for professional growth and development.
  • Supportive team culture that values collaboration and innovation.