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Manager, Digital Applied Analytics

Irvine, CA · On-site

Beyond technical execution, the role will shape the vision for applied analytics, drive roadmap implementation, and coach junior team members to deliver impactful, data-driven insights that influence ...

Lorven Technologies

Senior Applied Data Scientist

Hands-on, independent contributor who can originate work, turn ambiguous asks into crisp, testable requirements, and deliver end to end applied analytics solutions across multiple active projects.

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How much do applied analytics jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for applied analytics in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In applied analytics, high-level roles such as Chief Data Officer, Chief Analytics Officer, or senior data science executives can earn $1,000,000 or more annually through base salary, bonuses, and stock options. These positions typically require extensive experience, advanced skills in data modeling and machine learning, and leadership responsibilities within large organizations. Compensation at this level is often linked to company performance and equity holdings.

What are the key skills and qualifications needed to thrive as an Applied Analytics professional, and why are they important?

To thrive as an Applied Analytics professional, you need strong quantitative skills, a background in statistics or data science, and often at least a bachelor’s degree in a related field. Proficiency with analytic tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong problem-solving abilities, effective communication, and the capacity to translate complex data insights into actionable business recommendations are standout soft skills. These competencies are crucial because they enable professionals to extract meaningful insights from data and drive informed decision-making within organizations.

What are applied analytics?

Applied analytics involves using data analysis, statistical models, and technology to solve real-world business problems and inform decision-making. Professionals in this field gather, process, and interpret large sets of data to uncover trends, predict outcomes, and improve organizational performance. Applied analytics is used in various industries like finance, healthcare, marketing, and logistics to optimize processes and drive strategic initiatives.

What are applied analytics jobs?

Applied analytics jobs involve using data analysis techniques, statistical methods, and software tools to solve real-world business problems. These roles often require skills in data visualization, programming, and understanding of industry-specific data, with common tools including Excel, SQL, and Python or R.

What job makes $10,000 a month without a degree?

In applied analytics, high-paying roles such as freelance data consultants or specialized analysts can earn $10,000 or more per month, especially with strong skills in data visualization, programming, and business intelligence tools. These positions often require experience, a strong portfolio, and the ability to work independently or for clients, rather than formal degrees.

What jobs pay 500,000 a year in the US?

In applied analytics, high-paying roles such as senior data scientists, analytics directors, or chief data officers can reach or exceed $500,000 annually, especially in large corporations or tech firms. These positions typically require advanced skills in data modeling, machine learning, and leadership, along with extensive experience and often advanced degrees or certifications. Compensation at this level often includes bonuses, stock options, or profit sharing.

How does an Applied Analytics professional typically collaborate with other departments to drive data-informed decisions?

Applied Analytics professionals often work cross-functionally, partnering with teams such as marketing, operations, finance, and product development. They translate complex data findings into actionable insights tailored to each department's objectives, often presenting results in clear, accessible formats. Regular meetings and collaborative projects are common, ensuring that analytics solutions directly address business needs. This teamwork not only enhances the impact of data-driven recommendations but also provides valuable exposure to different aspects of the organization.
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Applied Analytics jobs near you
Infographic showing various Applied Analytics job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
Applied Analytics Engineer

Applied Analytics Engineer

Vulcan Materials Company

Irving, TX

$109K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Vulcan Materials rating

7.3

Company rating: 7.3 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

302nd of 519 rated manufacturers

Job description

Build Your Career. Build America's Future.
Vulcan Materials Company is the nation's largest producer of construction aggregates and a major producer of aggregates-based construction materials including asphalt and ready-mixed concrete. When you join Vulcan, it's more than starting an exciting career - you get to make a difference for millions of people every day across the country.
When you join Vulcan, you join a dynamic culture in which career development is encouraged, excellence is rewarded and diversity is valued. No matter the role or the location across the country, every member of the Vulcan team lives through the Vulcan Way: doing the right thing, the right way, at the right time.
About The Job :
We are seeking a highly analytical professional with 3-5 years of demonstrable experience to join our team as an Applied Analytics Engineer. The successful candidate will be responsible for the full-spectrum of technical work, with a primary emphasis on building, optimizing, and maintaining robust data pipelines that ingest, clean, and transform large, complex datasets for analytical readiness, and developing, rigorously testing, and deploying high-impact Machine Learning models into production systems for live use. The ideal candidate will translate complex business problems into measurable, scalable data solutions that drive strategic decision-making and business outcomes.
What You'll Do :
Machine Learning & Statistical Analytics
  • Design, build, and rigorously validate machine learning and statistical models (including regression, classification, clustering, and ensemble methods) for predictive and prescriptive analytics.
  • Use deep analytical skills and data science knowledge to address complex, real-world business challenges and drive measurable impact.
  • Analyze large amounts of information to discover critical trends and patterns. Apply the scientific method to design experiments, formulate hypotheses, and conduct rigorous testing.
  • Apply expertise in natural language processing (NLP) and text mining techniques where applicable.

Data Pipeline & Preparation
  • Design, build, and maintain robust and scalable data pipelines to process, transform, and organize large, complex datasets from disparate sources.
    Identify, assess, and integrate valuable data sources, developing automated processes for continuous data collection and ingestion.
  • Hands-on expertise in data management, programming, and processing large data volumes using technologies such as Python, SQL, and PySpark.
  • Undertake meticulous preprocessing, cleansing, and transformation of large structured and unstructured datasets to ensure data quality, usability, and accuracy for modeling.
  • Apply understanding of data management and data engineering principles to maintain scalable data architecture.
  • Design dimensional data models using methodologies to ensure enterprise data consistency.

Other Duties :
  • Contribute to team efforts, including taking on new tasks as assigned by the supervisor.
  • Assist with special projects as needed to support departmental goals.
  • Handle cross-functional support duties, such as helping other departments with specific projects when required.

Qualifications
Skills You'll Need :
  • 5 years of experience with statistical and programming languages for data analysis, specifically Python (including PySpark, NumPy, Pandas, Scikit-learn) and SQL.
  • 5 years of demonstrable experience in a data-focused role encompassing data exploration, data cleaning, and data visualization. Experience with cloud platforms (AWS, Azure, GCP)
  • Practical experience with big data processing frameworks such as Spark or similar distributed computing environments.
  • Extensive experience developing predictive data models, quantitative analyses, and visualization of large data sources, including both structured and unstructured data.
  • Experience leading or significantly contributing to the development of complex data solutions.
  • Basic idea or hands on with Tableau or similar data visualization tools/stacks.
    Good to Have :
  • Hands-on experience with MLOps, Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, and release management processes.
  • Hands-on experience with Snowflake, JIRA or ServiceNow.
  • Design and implement data-grounded AI agents using large language models (LLMs) and specialized toolkits (e.g., LangChain, agent frameworks) to automate complex decision-making and data querying workflows.
  • Familiarity with project management principles and best practices.

What You'll Like About Us :
Great Company Culture. Our people share a competitive drive for excellence in an environment of trust, teamwork, open-mindedness and communication.
Safe. Industry leader in health and safety standards. We are committed to creating a safe work environment and protecting all employees and customers.
Meaningful Work. What sets up apart is the work we do impacts daily lives - and every employee contributes. Our aggregates produced are used to build roads, schools, hospitals, airports, and housing throughout the United States.
Health Benefits. Medical, Dental, Vision programs, plus much more.
Rest and Relaxation. Paid vacation, personal floating days, and paid holidays.
Prepare for the Future. 401(k) with company match and contribution.
Training and Development. We see our development programs and helping our employees meet their goals as a key part of our business.
Vulcan Materials Company is committed to employing a diverse workforce. You will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. You also have the right to be free from discrimination for medical needs arising from pregnancy, childbirth, or related medical conditions.

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