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Applied Data Analytics Jobs (NOW HIRING)

Shift5

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation frameworks * Enterprise AI integration and deployment tooling * Product prototyping and applied research

Radiance Technologies

Data Analyst

Two (2) years supporting applied data science research or big data analytics. * Experience preparing, analyzing, and managing large datasets. * Experience developing reports, analyses, and ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

Booz Allen Hamilton

Applied Data Scientist

Arlington, VA · On-site

$99K - $225K/yr

Applied Data Scientist The Opportunity: As a data scientist, you're excited about building ... You'll help move beyond analysis to create robust, maintainable AI and ML systems that deliver ...

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How much do applied data analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for applied data analytics in the United States is $129,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $174,000.00 per year, depending on experience, location, and employer.

What is an Applied Data Analytics job?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

What are the typical daily responsibilities of someone working in Applied Data Analytics?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.

What are the key skills and qualifications needed to thrive in the Applied Data Analytics position, and why are they important?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

More about Applied Data Analytics jobs
What cities are hiring for Applied Data Analytics jobs? Cities with the most Applied Data Analytics job openings:
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Applied Data Analytics jobs near you
Infographic showing various Applied Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $129,468 per year, or $62.2 per hour.
Legal Data Analyst, Applied Data Science

Legal Data Analyst, Applied Data Science

Apple

Austin, TX • On-site

Full-time

Re-posted 13 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Are you passionate about turning complex legal data into actionable insights - and leveraging AI to do it faster and smarter?
Do you thrive on uncovering patterns, trends, and anomalies that others miss - using both traditional analytics and AI-powered techniques?
Can you bridge the gap between raw data, AI capabilities, and strategic decision-making?
The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this mission - leveraging AI tools to accelerate analysis, preparing data for AI consumption, and surfacing insights that drive operational excellence.
Description
The Legal Data Analyst delivers analytical insights and ensures data readiness for AI and analytics across Legal Operations. You will leverage AI tools to accelerate your work, using AI for data profiling, anomaly detection, pattern recognition, and insight generation. You will analyze legal operations data to uncover trends, perform spend and matter analysis, build forecasting models, and prepare data for AI consumption. This role combines analytical rigor with AI fluency and deep understanding of legal operations to drive data-informed decisions.
Minimum Qualifications
4+ years of experience in data analysis, business intelligence, and analytics roles
Strong proficiency in SQL, Python, and experience with analytical and data profiling tools
Experience using AI and LLM-based tools to accelerate analytical work
Experience with statistical analysis, trend analysis, and forecasting techniques
Experience working with enterprise data systems (ERP, CRM, matter management, or similar)
Strong analytical and problem-solving skills with attention to detail
Ability to communicate analytical findings and data quality insights to technical and non-technical stakeholders
Experience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)
Deriving and defining KPIs and other business impact metrics for leadership
Preferred Qualifications
Experience with legal operations data (matter management, eBilling, CLM, document management)
Demonstrated ability to integrate AI tools into daily analytical workflows - not just experimentation, but production use
Understanding of prompt engineering techniques to get better results from AI tools
Understanding of legal spend management, LEDES/UTBMS billing codes, and outside counsel metrics
Experience with predictive analytics and forecasting models
Familiarity with data governance frameworks and data stewardship models
Experience with data quality tools (Great Expectations, Monte Carlo, or similar)
Knowledge of entity resolution concepts and master data management
Understanding of how data quality impacts AI/ML model performance
Experience in corporate legal department or professional services environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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