1

Data Analyst Jobs in Alabaster, AL (NOW HIRING)

Data Analyst- AMILocation: Birmingham, AL Contract- 18 MonthsClient: Southern CompanyJob Summary:Seeking an experienced and detail-oriented AMI Data Analyst to manage and ensure the seamless flow of ...

... Analyst 1 to join their team. The role involves using tools like Python, R, and SQL for data analysis, as well as performing data integration and statistical analysis to derive insights from data.

... Analyst who thrives on problem-solving and communicates with impact. The role involves building Power BI dashboards, analyzing business data for insights, and collaborating with teams to improve ...

Showing results 41-60

Data Analyst information

See Alabaster, AL salary details

$28.9K

$70.3K

$115.7K

How much do data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst in Alabaster, AL is $70,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $82,500.00 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 Alabaster, AL?

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

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

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

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

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

Infographic showing various Data Analyst job openings in Alabaster, AL as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $70,317 per year, or $33.8 per hour.

Data Analyst 1 4P/286

4P Consulting Inc

Birmingham, AL โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Analyst- AMILocation: Birmingham, AL Contract- 18 MonthsClient: Southern CompanyJob Summary:Seeking an experienced and detail-oriented AMI Data Analyst to manage and ensure the seamless flow of data from over 1.6 million customer meters through our Advanced Metering Infrastructure (AMI) systems to billing and operational platforms. This is a highly technical role, crucial for maintaining data integrity, system performance, and customer satisfaction across Alabama Power's metering and billing operations.Key Responsibilities:Monitor AMI systems (Sensus RNI, MDM/C2M) to ensure continuous availability, accurate data reporting, and reliable performance.Perform daily analyses of AMI system data flow to detect and address transmission issues before they impact operations.Support the availability and quality of meter data required for accurate billing and downstream applications.Work closely with internal teams (Technology Organization, Billing Services, Power Delivery, and Metering Services) to troubleshoot and resolve data anomalies or system errors.Collaborate with team members to identify trends, inefficiencies, or opportunities for improvement in data management processes.Develop reports, dashboards, and documentation for internal stakeholders and assist with audits or system validation efforts.Contribute to the enhancement of system performance and operational best practices related to AMI data.Skills and Qualifications:Required:Strong analytical skills and experience working with large datasets.Solid technical understanding of AMI platforms such as Sensus RNI, MDM/C2M, and associated data systems.Experience with data validation, issue identification, and resolution processes.Proficiency in Microsoft Excel, Outlook, Word, and PowerPoint.Strong communication skills and ability to build collaborative relationships across departments.Keen attention to detail with a proactive, solution-oriented approach.Preferred:Bachelor's degree in Computer Science, Engineering, Business Information Systems, or a related technical field.Experience working in utility or energy sectors, particularly in metering or billing environments.Familiarity with CSS (Customer Service System) and its integration with AMI platforms.