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Data Analyst Jobs in Alabaster, AL (NOW HIRING)

Data Analyst II Location: Birmingham AL, 35243 Duration: 18 Months Client: Southern Company Position Overview The Data Analyst II is responsible for acquiring, managing, analyzing, and interpreting ...

Job Title :: Data Analyst 2 Location :: Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data ...

The Enterprise Data Analyst is responsible for both designing and developing our data architecture and performing data analysis to support business decision-making. This role encompasses the end-to ...

The role involves building data models, conducting variance analysis, and enhancing decision-making through robust data visualizations. Responsibilities : • Builds should-cost models for key ...

The PIM Data Analyst is responsible for managing product data, ensuring data integrity, and collaborating with various stakeholders to support business needs. Responsibilities : • Creates, inputs ...

... Analyst I with 1-3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives. The ideal candidate will have hands-on experience using tools such ...

Senior Provider Data Analyst

Birmingham, AL

$80K - $101K/yr

The Senior Provider Data Analyst is responsible for supporting and developing VIVA HEALTH'S Provider Services initiatives through data analytics, operational reporting, business intelligence and ...

New

Senior Provider Data Analyst

Birmingham, AL · On-site

$80K - $101K/yr

The Senior Provider Data Analyst is responsible for supporting and developing VIVA HEALTH'S Provider Services initiatives through data analytics, operational reporting, business intelligence and ...

New

The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and ...

... 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.

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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 1, 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 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 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 July 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.

Other

Posted 25 days ago


Job description

General Summary

We are seeking a highly analytical and detail-oriented Data Analyst to support a large, 30-shareholder urology practice with integrated medical oncology, radiation oncology, and multiple ancillary service lines. This role is responsible for transforming data from clinical, operational, and financial systems into actionable insights that drive performance, efficiency, and strategic decision-making.

The ideal candidate will have experience working with healthcare data ecosystems, including practice management, EHR, and oncology-specific systems.

Key Responsibilities

Data Management & Integration

· Extract, validate, and integrate data from multiple systems, including:

o Allscripts (Practice Management)

o Veradigm (EHR)

o ARIA Oncology Information System (Radiation Oncology)

· Develop and maintain data pipelines and standardized datasets for reporting and analytics

· Ensure data integrity, consistency, and compliance with healthcare regulations (e.g., HIPAA)

Reporting & Analytics

· Design and maintain dashboards and reports for:

o Provider productivity (wRVUs, encounters, procedures)

o Financial performance (collections, charges, payer mix, denials)

o Radiation oncology utilization and throughput

o Medical oncology infusion metrics

o Ancillary service line performance (imaging, lab, pharmacy, etc.)

· Deliver recurring and ad hoc reports to physicians, executives, and operational leaders

· Identify trends, anomalies, and opportunities for improvement

Operational & Financial Insights

· Analyze revenue cycle performance including:

o Charge capture

o Coding patterns

o Denial trends and reimbursement optimization

· Support budgeting, forecasting, and strategic planning initiatives

· Partner with leadership to evaluate service line profitability and expansion opportunities

Clinical & Quality Analytics

· Support quality reporting and value-based care initiatives

· Analyze clinical outcomes, treatment patterns, and patient flow

· Assist with registry reporting and compliance metrics (as applicable)

Stakeholder Collaboration

· Work closely with physicians, administrators, billing teams, and IT

· Translate complex data into clear, actionable insights for non-technical audiences

· Serve as a liaison between clinical operations and technical systems

Required Qualifications

· Bachelor’s degree in Data Analytics, Health Informatics, Business, or related field

· 3+ years of experience in healthcare data analytics (multi-specialty or oncology preferred)

· Strong experience with:

o SQL and relational databases

o Excel (advanced)

o Data visualization tools (Power BI, Tableau, or similar)

· Experience working with EHR and PM systems (preferably Allscripts/Veradigm environments)

· Understanding of healthcare financial and operational metrics (wRVUs, CPT/ICD coding, revenue cycle)

Key Competencies

· Analytical thinking and problem-solving

· Attention to detail and data accuracy

· Ability to manage large, complex datasets

· Strong communication and data storytelling skills

· Ability to work in a fast-paced, physician-driven environment

Why This Role Matters

This position plays a critical role in helping a complex, high-volume specialty practice optimize performance across urology, medical oncology, and radiation oncology. The Data Analyst will directly influence financial outcomes, operational efficiency, and patient care quality through data-driven insights.

Required Qualifications

· Bachelor’s degree in Data Analytics, Health Informatics, Business, or related field

· 3+ years of experience in healthcare data analytics (multi-specialty or oncology preferred)

· Strong experience with:

o SQL and relational databases

o Excel (advanced)

o Data visualization tools (Power BI, Tableau, or similar)

· Experience working with EHR and PM systems (preferably Allscripts/Veradigm environments)

· Understanding of healthcare financial and operational metrics (wRVUs, CPT/ICD coding, revenue cycle)

Preferred Qualifications

· Experience with oncology workflows (medical and/or radiation oncology)

· Familiarity with radiation oncology data structures (e.g., ARIA)

· Knowledge of ETL processes and data warehousing concepts

· Experience with population health or value-based care analytics

· Certification in healthcare analytics or data tools (e.g., CHDA, Power BI, Tableau)