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Data Analyst Jobs in Perry, GA (NOW HIRING)

We are pleased to share that we have a career opportunity for a Data Analyst position supporting the IT team as a strategic part of the digital transformation to deliver the right information, to the ...

Data Analyst information

See Perry, GA salary details

$30.7K

$74.5K

$122.7K

How much do data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analyst in Perry, GA is $74,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $87,500.00 per year, depending on experience, location, and employer.

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 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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

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.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Perry, GA? The most popular types of Data Analyst jobs in Perry, GA are:
What are popular job titles related to Data Analyst jobs in Perry, GA? For Data Analyst jobs in Perry, GA, the most frequently searched job titles are:
What cities near Perry, GA are hiring for Data Analyst jobs? Cities near Perry, GA with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Perry, GA as of July 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 76% In-person, 8% Hybrid, and 16% Remote job distribution, with an average salary of $74,538 per year, or $35.8 per hour.
Data Analyst

Full-time

Posted 28 days ago


Job description

Blue Bird (NASDAQ: BLBD) is recognized as a technology leader and innovator of school buses since its founding in 1927. Our dedicated team members design, engineer and manufacture school buses with a singular focus on safety, reliability, and durability. School buses carry the most precious cargo in the world – 25 million children twice a day – making them the most trusted mode of student transportation. The company is the proven leader in low- and zero-emission school buses with more than 25,000 propane, natural gas, and electric powered buses sold. Blue Bird is transforming the student transportation industry through cleaner energy solutions. For more information on Blue Bird’s complete product and service portfolio, visit www.blue-bird.com.

We are pleased to share that we have a career opportunity for a Data Analyst position supporting the IT team as a strategic part of the digital transformation to deliver the right information, to the right people at the right time.    

 

JOB SUMMARY:

Reporting to the Vice President, IT, this role will be responsible for providing, developing and implementing Blue Bird’s data strategy with the purpose of delivering the right data, to the right people at the right time.   The ideal candidate will be interpreting and analyzing complex datasets to provide insights and support data-driven decision making within Blue Bird. This role will work alongside IT business analysts and business executives to gather and transform data, conduct statistical analyses, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Collaborate with data engineers and IT professionals to optimize data collection, storage, and retrieval processes
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Uses statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
  • Completes the gathering and cleaning processes for data from various sources, ensuring data integrity and quality
  • Monitors data quality to identify data issues and propose data cleansing or enhancement solutions
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Develops and maintains dashboards, reports, and visualizations to communicate data findings effectively
  • Identifies KPIs and develops metrics to track and measure business performance
  • Stay updated with industry trends and best practices in data analysis, visualization, and reporting
  • Perform all other duties as assigned by management, within scope of practice

 

KNOWLEDGE, SKILLS AND ABILITIES FOR SUCCESS:

  • Knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
  • Knowledge of data visualization best practices to effectively communicate insight
  • Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
  • Familiarity with data modeling and data warehousing concepts
  • Strong skills developing in and managing PowerBI
  • Ability to communicate complex analytical topics to multiple stakeholders in a clean and simple manner to address current and future business challenges
  • Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
  • Ability to drive and complete projects/initiatives successfully amongst different stakeholders within the company
  • Ability to manage diverse assignments while simultaneously working within a deadline driven environment
  • Attention to detail and ability to maintain data accuracy and integrity
  • Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
  • Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel

BASIC EDUCATION AND EXPEREINCE REQUIRED:

  • Bachelor’s degree in Information Management, Business Administration, Data Science, Mathematics, Computer Science or other related analytical field; or equivalent experience required
  • At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession
  • All candidates must be a U.S. citizen or permanent resident

 

WE VALUE

  • Ability to anticipate and understand customer needs and provide guidance
  • Excellent interpersonal and customer relationship skills
  • Self-motivation and ability to exercise independent judgement and take action on it.
  • Ability to effectively prioritize and execute tasks in a fast-paced environment.
  • Strong project management skills. Exposure to difficult or complex projects a plus.
  • Ability to influence stakeholders
  • Effective communication and ability to communicate complex details in a clear manner.
  • Working in a collaborative team and balancing the needs of individual stakeholders while delivering corporate objectives.

INCLUDES

  • Continued Professional Development

*The specific statements shown in each section of this description are not intended to be all-inclusive.  They represent typical elements and criteria necessary to successfully perform the job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

 

Blue Bird® is an equal opportunity employer and makes employment decisions on the basis of merit. We strive to have the best available talent in every job based on the Knowledge, Skills and Abilities each person brings.  Blue Bird is committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in Company operations and prohibits unlawful discrimination in all forms.

 

All candidates must be a U.S. citizen or permanent resident. Candidates must be authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire.

 

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