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Data Analytics Jobs in Florence, AL (NOW HIRING)

Aviagen

Continuous Improvement Data Analyst

Athens, AL · On-site

The role involves creating data analysis tools, interpreting data, and providing visibility of KPIs to internal business units. Responsibilities : • Provide support by creating data analysis tools ...

IERUS Technologies, Inc.

Manufacturing Engineer

Courtland, AL · On-site

$81K - $104K/yr

Create and analyze 3D based model data environment to optimize manufacturing process and digital work instructions. * Leverage understanding of materials and automatic processes to define operations ...

IERUS Technologies, Inc.

Manufacturing Engineer

Courtland, AL · On-site

$81K - $104K/yr

Create and analyze 3D based model data environment to optimize manufacturing process and digital work instructions. * Leverage understanding of materials and automatic processes to define operations ...

CB&S Bank

Executive Support Specialist

Russellville, AL · On-site

Analyze operational gaps using AI-enabled tools and recommend process improvements. Ensure compliance with bank data privacy, security, and regulatory requirements. Partner with technology, security ...

Exalta Group

Sr. FP&A Analyst

Athens, AL · On-site

$72K - $90K/yr

Limited travel required (25%) The ideal candidate is analytical, collaborative, and hands-on, with strong manufacturing finance experience and the ability to translate financial data into meaningful ...

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All JobsData Analytics JobsData Analytics Jobs in Florence, AL

Data Analytics information

See Florence, AL salary details

$22

$49

$84

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Florence, AL is $49.14, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $55.67 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Florence, AL? The most popular types of Data Analytics jobs in Florence, AL are:
What job categories do people searching Data Analytics jobs in Florence, AL look for? The top searched job categories for Data Analytics jobs in Florence, AL are:
What cities near Florence, AL are hiring for Data Analytics jobs? Cities near Florence, AL with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Florence, AL as of August 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $102,209 per year, or $49.1 per hour.

Automotive Dealership Data Analyst - Full-Time, On-Site

LL Shoals

Florence, AL • On-site, Remote

Full-time

Re-posted yesterday

Job description

Key Responsibilities Data Extraction & Reporting
  • Extract and compile data from dealership systems, OEM portals, CRM platforms, and third-party sources.
  • Build and maintain recurring reports for Sales, Service, Finance, and Operations teams across all ten dealership locations.
  • Respond to ad hoc reporting requests from department leaders with timely, accurate data.
  • This is a full-time on-site role at our Florence, AL corporate office. Applications from candidates outside the Shoals area or seeking remote/hybrid work will not be considered.
Data Quality & Analysis
  • Clean, validate, and reconcile data from multiple sources to ensure accuracy.
  • Partner with department managers to identify trends, inconsistencies, and opportunities within dealership data.
  • Document reporting processes, data sources, and reporting logic for consistency and continuity.
Dashboards & Automation
  • Create dashboards and visualizations using Microsoft Excel and Power BI.
  • Automate manual reporting processes using appropriate tools and scripting where applicable.
  • Collaborate with the IT team to improve reporting efficiency and data accessibility.
Required Qualifications
  • 2+ years of experience in reporting, data analysis, or a related field.
  • Ability to work full-time on-site at our Florence, AL corporate office.
  • Current residence in or near the Shoals area with the ability to commute daily.
  • Working knowledge of SQL, HTML, and Python.
  • Experience using AI tools such as Claude, ChatGPT, Microsoft Copilot, or Gemini to improve productivity and reporting workflows.
  • Advanced Microsoft Excel skills, including pivot tables, lookups, formulas, and data manipulation.
  • Experience working with multiple data sources and web-based business systems.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
  • Experience in automotive dealership operations.
  • Familiarity with dealership systems such as CDK, Reynolds & Reynolds, Dealertrack, VinSolutions, Elead, Tekion, or vAuto.
  • Experience with Power Query, APIs, scripting, or other data automation tools.
  • Understanding of dealership KPIs, including sales, inventory, fixed operations, and service performance metrics.
  • Microsoft Power BI Data Analyst Associate (PL-300)
  • Microsoft Excel Expert (MO-201)
  • SQL Certification
  • Google Data Analytics Professional Certificate