ZipRecruiter

Log In

1

Coding Analyst Jobs in Alabama (NOW HIRING)

Code Plus Inc

DevSecOps Engineer

Huntsville, AL · On-site

Integrate automated testing, static/dynamic code analysis, security scanning, and RMF-aligned controls into development pipelines * Support Infrastructure as Code (IaC), configuration management, and ...

Humana

Medical Coder

Vance, AL · On-site +1

$16.75 - $22.50/hr

Analyze coding audit results and other relevant data to develop data-driven educational materials and interventions. * Participate in cross-functional teams to improve documentation, data integrity ...

Humana

Medical Coder

Vance, AL · On-site +1

$16.75 - $22.50/hr

Analyze coding audit results and other relevant data to develop data-driven educational materials and interventions. * Participate in cross-functional teams to improve documentation, data integrity ...

Humana

Medical Coder

Vance, AL · On-site +1

$16.75 - $22.50/hr

Analyze coding audit results and other relevant data to develop data-driven educational materials and interventions. * Participate in cross-functional teams to improve documentation, data integrity ...

next page

Showing results 1-20

All JobsCoding Analyst JobsCoding Analyst Jobs in Alabama

Coding Analyst information

See Alabama salary details

$41.2K

$67.3K

$105.6K

How much do coding analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for coding analyst in Alabama is $67,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $76,100.00 per year, depending on experience, location, and employer.

What field of coding pays the most?

In the coding field, roles such as software engineers, especially those specializing in machine learning, artificial intelligence, or blockchain development, tend to have the highest salaries. Expertise in high-demand programming languages like Python, C++, or Java, along with advanced skills and certifications, can also contribute to higher pay. Salaries vary based on experience, industry, and location, but these areas generally offer the top compensation in coding careers.

What is the difference between Coding Analyst vs Data Analyst?

AspectCoding AnalystData Analyst
Required CredentialsCertification in coding standards, healthcare coding certifications (e.g., CPC)Statistics, data analysis certifications, degrees in related fields
Work EnvironmentHealthcare facilities, insurance companies, medical billing departmentsBusiness, finance, healthcare organizations, data-driven environments
Employer & Industry UsageHealthcare, insurance, medical billingVarious industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding coding roles, certifications, job dutiesAnalyzing data, interpreting trends, reporting

The main difference between a Coding Analyst and a Data Analyst lies in their focus areas. Coding Analysts specialize in medical coding, requiring healthcare-specific certifications and working primarily in healthcare and insurance sectors. Data Analysts, on the other hand, analyze data across various industries, often holding degrees in statistics or related fields. Both roles involve data handling but serve different organizational needs and environments.

What does a coding analyst do?

A coding analyst reviews and assigns medical codes to patient records for billing and documentation purposes, ensuring accuracy and compliance with coding standards like ICD and CPT. They analyze medical documentation, identify appropriate codes, and may use coding software to facilitate the process, often working in healthcare or insurance environments. Strong attention to detail and knowledge of medical terminology are essential for this role.

What Is a Coding Analyst?

A coding analyst is a health care professional whose job duties involve medical billing, coding, and compliance. As a coding analyst, you're responsible for ensuring that all medical coding in documents and patient files is accurate. You also provide support to senior analysts, evaluate billing and reimbursement documentation, and determine whether the files meet federal regulations. Qualifications for this career include a few years of experience in a similar role and sound knowledge of medical coding regulations. Some employers may require certification in professional coding. Skills such as attention to detail, strong research capabilities, and excellent written and verbal communication are essential.

What pays more, CCS or CPC?

In the context of coding analysis, Certified Coding Specialists (CCS) typically earn higher salaries than Certified Professional Coders (CPC) due to their advanced training and specialization in hospital and inpatient coding. CCS professionals often work in more complex environments and may have additional certifications or experience that influence pay rates. Salary differences can also depend on geographic location, experience, and employer size.

Will AI eventually replace medical coders?

Medical coders, including coding analysts, play a crucial role in translating healthcare diagnoses and procedures into standardized codes. While AI tools can assist with coding accuracy and efficiency, human oversight remains essential to handle complex cases and ensure compliance, so AI is more likely to augment rather than fully replace medical coders in the near future.

What are the key skills and qualifications needed to thrive as a Coding Analyst, and why are they important?

To thrive as a Coding Analyst, you need a solid understanding of medical coding systems (like ICD-10, CPT, and HCPCS), attention to detail, and often a certification such as CPC or CCS. Familiarity with coding software, electronic health record (EHR) systems, and billing platforms is typically required. Analytical thinking, integrity, and strong communication skills help Coding Analysts ensure accuracy and resolve discrepancies. These competencies are critical to ensuring proper reimbursement, minimizing errors, and supporting regulatory compliance in healthcare organizations.

What are some typical challenges faced by Coding Analysts when working with cross-functional teams?

Coding Analysts often collaborate with departments such as billing, quality assurance, and IT, which can present challenges in aligning on data requirements and ensuring accurate communication. Misunderstandings may arise due to differences in technical knowledge or varying priorities among teams. Successful Coding Analysts proactively clarify requirements, document processes, and foster open communication to bridge gaps and deliver accurate coding solutions that support organizational goals.
More about Coding Analyst jobs
What are popular job titles related to Coding Analyst jobs in Alabama? For Coding Analyst jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Coding Analyst jobs in Alabama look for? The top searched job categories for Coding Analyst jobs in Alabama are:
What are popular job titles related to Coding Analyst jobs in AL? For Coding Analyst jobs in AL, the most frequently searched job titles are:
Coding Analyst jobs near you
Infographic showing various Coding Analyst job openings in Alabama as of June 2026, with employment types broken down into 83% Full Time, 10% Part Time, 2% Temporary, and 5% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $67,267 per year, or $32.3 per hour.
Business Intelligence (BI) / Data Analyst

Business Intelligence (BI) / Data Analyst

Ridgeline Roofing & Restoration

Odenville, AL • On-site

Full-time

Posted 27 days ago

Job description

Description:

Job Summary:


Ridgeline Roofing is seeking a hands-on Business Intelligence (BI) Analyst to help turn data into clear insights that improve decision-making across the business. This role will provide data, reports and analysis for teams such as sales, marketing, operations, and finance. The ideal candidate is analytical, detail-oriented, comfortable working with business stakeholders, and eager to use modern tools, including AI, to work faster and surface better insights.

Requirements:

Key Responsibilities:

  • Data Analysis & Processing: Collect, clean, validate, and analyze data from multiple business systems to ensure reporting is accurate, consistent, and actionable.
  • Reporting & Dashboards: Build and maintain dashboards, recurring reports, and ad hoc analyses that help teams monitor performance and identify opportunities for improvement.
  • Operational KPIs: Analyze KPIs such as lead volume, appointment set rate, close rate, project backlog, cycle time, job profitability, revenue, margin, customer satisfaction, and marketing performance.
  • Data Infrastructure: Maintain and improve use of modern data warehouses and data pipelines.
  • Cross-Functional Collaboration: Partner with sales, marketing, operations, finance, and customer service teams to understand business questions, translate them into analytical work, and communicate findings clearly.
  • AI-Enabled Productivity: Use AI tools such as ChatGPT, Claude, Claude Code, and similar platforms to accelerate analysis, automate repetitive tasks, improve documentation, generate SQL or code drafts, and develop scalable reporting workflows while maintaining data accuracy and confidentiality.
  • Insight Communication: Summarize findings in a practical, business-friendly way and recommend next steps based on the data.

Qualifications:

  • Bachelor's degree in a quantitative, technical, business, or related field, or equivalent work experience.
  • 1-3+ years of experience in business intelligence, analytics, data analysis, operations analysis, finance analysis, or a related role.
  • Strong SQL skills and experience working with structured datasets.
  • Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar platforms.
  • Familiarity with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar.
  • Ability to clean, reconcile, and QA data from multiple systems.
  • Strong attention to detail and comfort working in spreadsheets and analytical tools.
  • Clear communication skills and ability to explain data-driven insights to non-technical stakeholders.
  • Experience using AI tools to support analytics, coding, workflow automation, or documentation is a plus.
  • Experience with service industry CRM platforms such as Service Titan, ProCore, and similar is a plus.