Artech Design Group

74 Artech Data Analyst Jobs Hiring Near You

Data Analyst - I

Columbus, OH · Hybrid

$30 - $35/hr

Data Analyst - I Location: Hartford, CT / Chicago, IL / Columbus, OH / Charlotte, NC Work Model ... Develop and maintain data mapping documents and data design artifacts * Translate business needs ...

Business Systems / Data Analyst Position Locations: Preference for Pittsburgh, PA, 15222. Secondary - Cleveland, OH, 44136 / Dallas, TX, 75234 / Birmingham, AL, 35233 / Phoenix, AZ, 85016 ...

Ability to translate requirements into fit-gap analysis in Oracle EBS for the specified modules ... Ability to understand functional requirements and translate them into technical design. * Good ...

Ability to translate requirements into fit-gap analysis in Oracle EBS for the specified modules ... Ability to understand functional requirements and translate them into technical design. * Good ...

Design and maintain a consumer-like buying experience for end-users, ensuring that company purchasing policies are embedded via validation rules. Integration Support: Troubleshoot and maintain data ...

Design and maintain a consumer-like buying experience for end-users, ensuring that company purchasing policies are embedded via validation rules. Integration Support: Troubleshoot and maintain data ...

Support secure network connectivity across data centers, branch sites, cloud environments, and ... Experience with log analysis, packet captures, and troubleshooting tools (e.g., Wireshark)

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 ...

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 ...

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 ...

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 ...

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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 - I

Artech

Columbus, OH • Hybrid

$30 - $35/hr

Other

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


Job description

Data Analyst - I

Location: Hartford, CT / Chicago, IL / Columbus, OH / Charlotte, NC Work Model: Hybrid (3 days onsite – Tuesday to Thursday) Pay Rate - $30 - $35/Hr on W2 Duration - 06 Months with possible extension

Overview

The Enterprise Data Office at Insurance is seeking a Business Data Analyst to support Corporate Data Services. This role focuses on delivering data analysis and business requirements support for high-visibility, business-critical applications.

You will act as a key liaison between business stakeholders and technical teams, ensuring data-driven solutions are accurately defined, developed, and delivered.

Key Responsibilities

  • Gather, analyze, and document business and data requirements from stakeholders
  • Perform data analysis, data discovery, and data profiling using industry-standard tools
  • Develop and maintain data mapping documents and data design artifacts
  • Translate business needs into clear, actionable technical requirements
  • Act as a bridge between business and IT teams
  • Support and participate in functional testing and validation
  • Lead and facilitate working sessions and stakeholder discussions
  • Perform root cause analysis on data-related issues and provide recommendations
  • Ensure clarity around project scope and requirements alignment

AI & Data Innovation

  • Leverage AI tools for data profiling, anomaly detection, and reporting
  • Design and refine AI prompts to generate insights and automate documentation
  • Translate business processes into AI-driven requirements
  • Collaborate with data engineers to enhance ETL workflows, metadata management, and data quality

Required Qualifications

  • Bachelor's degree required
  • 3+ years of experience in business/data analysis (preferably in Insurance domain)
  • Strong experience with SQL and data querying tools (e.g., Snowflake, Toad, SAS, Python, R, Hive)
  • Experience working on data warehouse / reporting / analytics projects
  • Familiarity with Agile methodologies
  • Strong skills in requirements gathering, data analysis, and stakeholder communication
  • Experience with AI tools and prompt design is a plus

Key Skills

  • Data Analysis & Profiling
  • Requirements Elicitation & Documentation
  • Data Mapping & Data Design
  • Stakeholder Management
  • Problem Solving & Root Cause Analysis
  • Communication & Presentation Skills
  • Ability to manage multiple priorities in a fast-paced environment