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Data Analytics Jobs in Alabama (NOW HIRING)

Building on that success, we see a significant opportunity to expand our AI, Data, Analytics capabilities as enterprise data, AI and modern cloud platforms continue to transform the Life Sciences ...

Posting Details Position Information Posting Number F0997P Position Title Lecturer - Data Analytics Position Type Faculty Department Decision Systems and Sciences - Troy Division Sorrell College of ...

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate about data engineering, analytics, and artificial intelligence? Do you love solving complex business ...

New

... analytics · Ensure data integrity, consistency, and compliance with healthcare regulations (e.g., HIPAA) Reporting & Analytics · Design and maintain dashboards and reports for: o Provider ...

New

... analytics · Ensure data integrity, consistency, and compliance with healthcare regulations (e.g., HIPAA) Reporting & Analytics · Design and maintain dashboards and reports for: o Provider ...

New

Responsibilities : • Serves as the lead for advanced data analytics • Ensures successful task execution of predictive modeling requirements • Liaison with key Government and corporate personnel ...

ServiceNow Data Analyst

AL · On-site +1

$80K - $100K/yr

Bachelor's degree in Business, Data Analytics, or related field OR equivalent combination of applied skilled experience * Minimum five years of experience in business analysis, encompassing tasks ...

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Data Analytics information

See Alabama salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data analytics in Alabama is $49.62, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $56.20 per hour, depending on experience, location, and employer.

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 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 Alabama? The most popular types of Data Analytics jobs in Alabama are:
What cities in Alabama are hiring for Data Analytics jobs? Cities in Alabama with the most Data Analytics job openings:

Director - Data & Analytics

Tenthpin

On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Location: Sandy Springs, Georgia, United States

Hybrid role* (Remote/ on-site), any location United States

Director – Data & Analytics

At Tenthpin, we are hiring a Director – AI, Data, Analytics to help shape the next generation of our global AI, Data, Analytics capabilities within the Life Sciences industry.

The Opportunity

At Tenthpin, your expertise will matter. We have built a strong global reputation helping the world's leading Life Sciences organisations deliver complex SAP-enabled transformation programmes.

Building on that success, we see a significant opportunity to expand our AI, Data, Analytics capabilities as enterprise data, AI and modern cloud platforms continue to transform the Life Sciences industry. Working alongside our global leadership team, you will help define the next generation of AI, Data, Analytics services, driving our North American capability and creating innovative offerings that can be leveraged across our global business.

This is a unique opportunity for someone who enjoys building as much as delivering. Someone who is equally comfortable engaging CIOs, Chief Data Officers and senior business leaders, developing people, shaping new service offerings and identifying opportunities for growth. We are looking for a recognised subject matter expert who understands where AI, Data, Analytics is heading, combines strategic vision with hands‑on credibility, and wants to help shape the future of the Life Sciences industry.

The role will include, but not be limited to:
  • Help shape and grow Tenthpin's AI, Data, Analytics capability, driving the North American practice whilst contributing to the evolution of our global offerings.
  • Act as a trusted advisor to CIOs, Chief Data Officers and senior business leaders across some of the world's leading Life Sciences organisations.
  • Identify, shape and pursue opportunities that create meaningful value for clients and accelerate the growth of our AI, Data, Analytics business.
  • Lead strategic proposals, RFPs and commercial discussions within your area of expertise.
  • Define and evolve innovative AI, Data, Analytics service offerings that complement Tenthpin's market‑leading SAP capabilities.
  • Build, mentor and develop a high‑performing team, creating a recognised capability and community of experts.
  • Champion thought leadership, helping clients understand emerging trends in enterprise data, AI and modern cloud technologies.
  • Remain hands‑on with clients, helping solve complex business challenges whilst leading by example.
Your Experience

First and foremost, you are a genuine Management Consultant. You combine deep Data & Analytics, AI expertise with commercial awareness, consulting credibility and a passion for helping clients achieve meaningful business outcomes.

You will bring:
  • Demonstrated experience leading AI, Data, Analytics strategy, transformation or advisory programmes within regulated Life Sciences environments.
  • An exceptional track record of acting as a trusted advisor to CIOs, Chief Data Officers and senior business leaders, whilst mentoring and developing high‑performing teams.
  • Well‑established relationships with C‑level executives in the Life Sciences sector, particularly in AI, Data, Analytics.
  • Experience shaping and growing consulting capabilities, defining service offerings, leading proposals and RFPs, and supporting business development activities.
  • A strong understanding of Enterprise Data strategy, governance, modern data architectures and operating models, supported by experience with technologies such as SAP Business Data Cloud, SAP Business AI, Snowflake, Databricks, Microsoft Fabric, SAP MDG, Reltio or similar platforms.
  • A passion for AI, Data, Analytics and emerging technologies, combining strategic vision with a hands‑on approach and accountability for successful client outcomes.
Why Tenthpin

Tenthpin is a Global Consulting and Technology Boutique for the Life Sciences industry. With around 450 consultants and constantly growing, we currently operate out of 8 countries: Switzerland, Germany, UK, Portugal, Poland, Japan, USA and India.

At least sixteen of the top 20 Life Sciences companies worldwide trust Tenthpin for independent and unbiased advice.

We offer a competitive salary and benefits package and a collaborative work environment that encourages professional growth and development.

Are you passionate about digitally transforming Life Sciences companies? Do you want to create an impact with leading brands and deliver real value? Enjoy working in an entrepreneurial and innovative team?

Tenthpin is an equal opportunities employer.

We look forward to hearing from you.

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