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Data Analytics Manager Jobs in Alabaster, AL (NOW HIRING)

Urology Centers of Alabama

Data Analyst

Homewood, AL · On-site

... 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 ...

Urology Centers of Alabama

Data Analyst

Homewood, AL · On-site

Allscripts (Practice Management) * Veradigm (EHR) * ARIA Oncology Information System (Radiation Oncology) * Develop and maintain data pipelines and standardized datasets for reporting and analytics

Pwc

Data Strategy-Manager

Birmingham, AL · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Pwc

Data Governance- Manager

Birmingham, AL · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Alabaster, AL

Data Analytics Manager information

See Alabaster, AL salary details

$26.4K

$82.7K

$146.4K

How much do data analytics manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics manager in Alabaster, AL is $82,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $106,800.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Alabaster, AL?

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

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

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

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

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

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Alabaster, AL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $82,659 per year, or $39.7 per hour.

Data Analyst

Homewood, AL • On-site

Urology Centers of Alabama, P.C.
Outpatient Health Care • 51 - 200 employees
Learn more about Urology Centers of Alabama, P.C.external

Other

Re-posted 4 days ago

Key responsibilities

  • Extract, validate, and integrate data from multiple healthcare systems to support reporting and analytics.

  • Design, maintain, and deliver dashboards and reports on clinical, operational, and financial metrics.

  • Analyze revenue cycle performance, clinical outcomes, and operational data to identify trends and opportunities for improvement.

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)

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