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Data Analyst Non Technical Jobs in Georgia (NOW HIRING)

Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. This role will create ...

Position: Data Analyst Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note ... non-technical audiences * Proven ability to identify patterns and trends in complex datasets

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of ... both technical and non-technical stakeholders * Proven ability to take initiative, work ...

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of ... both technical and non-technical stakeholders * Proven ability to take initiative, work ...

We are seeking a detail-oriented Data Analyst to provide comprehensive support and oversight of ... both technical and non-technical stakeholders * Proven ability to take initiative, work ...

Present findings, recommendations, and insights in a clear and concise manner to non-technical ... Data Analyst * Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets

Ability to communicate complex data insights clearly to both technical and non-technical audiences * Proficiency in Microsoft Excel and other data analysis tools * A proactive mindset with a focus on ...

Ability to communicate complex data insights clearly to both technical and non-technical audiences * Proficiency in Microsoft Excel and other data analysis tools * A proactive mindset with a focus on ...

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Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Atlanta, GA Position Summary The Data Analyst supports the Client ... Ability to communicate analytical findings clearly to both technical and non-technical audiences.

Data Analyst Location: Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who ... Create impactful visualizations and reports using business intelligence tools for technical and non ...

... Senior Product Data Analyst. The role involves developing analytic best practices to generate ... non-technical, and senior audiences. • Dissect and solve complex business problems using ...

Ability to work with business stakeholders to understand objectives, capture functional and non ... Technical Skills * Proficiency in SQL for querying and analyzing data across relational databases.

Data Analyst

Atlanta, GA · On-site

$56K - $63K/yr

The Data Analyst is crucial in empowering Atlanta Mission's strategic decisions and designs across ... Strong communication skills (written and verbal) to present findings to both technical and non ...

The Data Analyst is crucial in empowering Atlanta Mission's strategic decisions and designs across ... Strong communication skills (written and verbal) to present findings to both technical and non ...

... non-technical stakeholders • Use Python to automate recurring data pulls, reporting workflows ... experience in a data analyst, financial analyst, or similar role • Strong SQL skills ...

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

Present findings, recommendations, and insights in a clear and concise manner to non-technical ... Data Analyst * Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets

Sr Data Analyst

Atlanta, GA · Hybrid

$82K - $104K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Strong communication and financial storytelling skills with both technical and non-technical ...

New

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

Do you enjoy collaborating with technical and non-technical teams to turn data into meaningful ... We use the power of data and advanced analytics to help our customers make better, timelier ...

Present data insights and trends to technical and non-technical stakeholders Data Integration & ETL * Design and execute ETL (Extract, Transform, Load) processes to prepare data for analysis

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Data Analyst Non Technical information

What are the key skills and qualifications needed to thrive as a data analyst non technical, and why are they important?

To excel as a Data Analyst (Non-Technical), you need strong analytical thinking, attention to detail, and a solid understanding of data interpretation, usually supported by a bachelor's degree in a related field. Familiarity with Excel, basic data visualization tools, and reporting platforms is typically expected, though advanced programming is not required. Effective communication, problem-solving, and stakeholder management are vital soft skills that help translate data insights into actionable business strategies. These abilities are crucial for ensuring data-driven decisions align with organizational goals and for communicating findings clearly to non-technical audiences.

Is a data analyst non technical still in demand in 2026?

Data analysts, including non-technical roles, are expected to remain in demand in 2026 due to ongoing growth in data-driven decision making across industries. Skills in data visualization tools like Tableau or Power BI and basic understanding of databases will continue to be valuable for these roles.

What is a data analyst non technical?

A Data Analyst (Non Technical) is a professional who works with data to help organizations make informed decisions, but focuses more on interpreting and presenting data rather than writing code or using advanced technical tools. They often use spreadsheets and basic data visualization software to analyze trends, prepare reports, and communicate findings to non-technical stakeholders. Their role is key in translating complex data into actionable insights that can be easily understood by decision-makers across the business.

Can a non-technical person become a data analyst?

Yes, a non-technical person can become a data analyst by developing skills in data visualization, basic statistical analysis, and tools like Excel or Tableau. Many roles also value strong problem-solving and communication skills, and training or certifications in data analysis can help bridge technical gaps.

What is the difference between Data Analyst Non Technical vs Data Analyst Technical?

AspectData Analyst Non TechnicalData Analyst Technical
Required SkillsData interpretation, reporting, visualization tools (Excel, Tableau)Programming (Python, R), SQL, data modeling
CertificationsBusiness Intelligence certifications, Tableau, ExcelSQL certifications, Python/R courses
Work EnvironmentBusiness teams, reporting dashboardsData engineering teams, coding environments
Industry UsageMarketing, finance, sales analysisData science, machine learning projects

Data Analyst Non Technical roles focus on interpreting data and creating reports using visualization tools, requiring less programming knowledge. Data Analyst Technical roles involve coding, data modeling, and advanced analytics. Both roles are essential in data-driven industries but differ mainly in technical skill requirements and work environment.

What other jobs can a data analyst do?

A data analyst can transition into roles such as data scientist, business analyst, data engineer, or operations analyst, leveraging skills in data visualization, statistical analysis, and tools like Excel, SQL, and Tableau. These roles often require strong analytical skills, familiarity with programming languages like Python or R, and understanding of business processes.

How do data analyst non technical roles typically contribute to cross-departmental projects within an organization?

Data Analyst (Non-Technical) professionals often serve as a bridge between data teams and business units, helping translate data insights into actionable strategies for departments like marketing, sales, or operations. They work closely with stakeholders to understand their data needs, prepare reports, and communicate findings in accessible language. Collaboration is key, as they frequently participate in meetings, provide context for data trends, and ensure that different teams are aligned on objectives and outcomes. This role is ideal for those who enjoy teamwork, communication, and applying analytical thinking to solve business challenges.
What are popular job titles related to Data Analyst Non Technical jobs in Georgia? For Data Analyst Non Technical jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Analyst Non Technical jobs in Georgia look for? The top searched job categories for Data Analyst Non Technical jobs in Georgia are:
What cities in Georgia are hiring for Data Analyst Non Technical jobs? Cities in Georgia with the most Data Analyst Non Technical job openings:
Infographic showing various Data Analyst Non Technical job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 8 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML