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Data Analyst Jobs in Florence, AL (NOW HIRING)

Provide support by creating data analysis tools based on several major IT systems * Provide support to other Aviagen business units when time permits * Provide internal business units with visibility ...

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Data Analyst information

See Florence, AL salary details

$30.5K

$74.2K

$122.1K

How much do data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst in Florence, AL is $74,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $87,100.00 per year, depending on experience, location, and employer.

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.

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 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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Florence, AL?

The most popular types of Data Analyst jobs in Florence, AL are:

What job categories do people searching Data Analyst jobs in Florence, AL look for?

The top searched job categories for Data Analyst jobs in Florence, AL are:

What cities near Florence, AL are hiring for Data Analyst jobs?

Cities near Florence, AL with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Florence, AL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,175 per year, or $35.7 per hour.

Continuous Improvement Data Analyst

CWT Farms

Athens, AL • On-site

$75 - $95/hr

Other

Posted 2 days ago

New


Job description

Responsibilities
  • Provide support by creating data analysis tools based on several major IT systems
  • Provide support to other Aviagen business units when time permits
  • Provide internal business units with visibility of major KPIs based on data extracted from several major systems in use at Aviagen
  • Create analysis tools based on this data
  • Interpret and analyze data based on statistical techniques
  • Liaise with internal consumers of analyses in designing dashboards and reports to meet reporting and analysis needs
Qualifications
  • Educated to degree level in a Business or computer-related field
  • Minimum of five years in a commercial environment with significant exposure to data analysis and reporting
  • Strong knowledge of database concepts; data modelling, database design and development, optimization techniques
  • Strong analytical skills
  • Knowledge of Microsoft SQL Server
  • Ability to design and create QlikView dashboards to present complex data in creative, meaningful, and understandable ways
  • Strong Excel knowledge
  • Excellent communication skills, both verbal and written
  • Understanding of key business concepts
  • Knowledge of statistics and statistical analysis techniques
  • Some programming knowledge and experience preferred

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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