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Applied Analytics Jobs (NOW HIRING)

Applied Materials

Market Analyst III

Santa Clara, CA · On-site

$106K - $146K/yr

MS in Data Science, Business Analytics, Statistics, Applied Analytics, Market Analytics, or a related quantitative field (BS considered with relevant experience). * 3-5 years of professional ...

Wing

Analytics Manager

$154K - $204K/yr

Strong experience in data analysis, modeling, and applied analytics (SQL, Excel, Python, or similar tools). * Proven ability to work with ambiguous, complex business problems and turn them into ...

Stbancorp

$48K - $115.50K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and ... Requires a four-year degree in data science, computer science, applied mathematics, statistics ...

S and T Bank

Data & Analytics Senior Analyst

Indiana, PA · On-site

$48K - $115.50K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and ... Requires a four-year degree in data science, computer science, applied mathematics, statistics ...

Wing

Senior Data Analyst

Palo Alto, CA · On-site +1

$101.10K - $127.50K/yr

Bachelor's/Master's degree in a quantitative field (e.g. data analytics, math) * Strong experience in data analysis, modeling, and applied analytics (SQL, Excel, Python, or similar tools). * Proven ...

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How much do applied analytics jobs pay per hour?

As of May 31, 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 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.

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.

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.
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Applied Analytics jobs near you
Infographic showing various Applied Analytics job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.
Senior Product Manager - Applied Analytics, Data Engineering & AI/GenAI Platforms

Senior Product Manager - Applied Analytics, Data Engineering & AI/GenAI Platforms

Apple

Cupertino, CA • On-site

$156.10K - $206K/yr

Full-time

Posted 12 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. We are building the next generation of applied data and AI platforms that power Apple's most critical services, ranging from Music, TV+, Sports, and Search to emerging AI and GenAI-driven experiences..We are seeking a Senior Product Manager to lead application-layer data and AI capabilities built on top of Apple's Data Platform. This role focuses on transforming foundational data infrastructure into developer-facing products, intelligent services, and GenAI-enabled workflows that teams can use to build faster, safer, and more scalable applications...This is a highly technical, cross-functional role working at the intersection of analytics, data engineering, AI/GenAI systems, and product abstraction.
As a Senior Product Manager for Applied Analytics, Data Engineering & AI/GenAI, you will own product capabilities that sit above Apple's core data platform and turn into platform capability.You will partner closely with data platform engineering, AI/ML infrastructure, privacy, security, and application teams to design and deliver:* Application-layer data services and APIs* Platform intelligence that helps developers troubleshoot and optimize data pipelines.* AI and GenAI-powered experiences for data creation, transformation, governance, and analysis* Tooling that enables developers, analysts, and product teams to safely build data-driven and AI-native applications at scaleYou will be responsible for defining product vision, shaping multi-quarter roadmaps, and driving execution from concept through launch, while balancing platform constraints, customer needs, and long-term architectural integrity.
Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field (Master's degree preferred).10+ years of product management experience building enterprise or platform products.Strong experience working with analytics, data engineering systems, data platforms or large-scale distributed infrastructure.Demonstrated ability to take products from concept to launch, including vision setting, roadmap ownership, and execution.Working knowledge of modern data and AI stacks, including cloud-based data platforms and analytics systems.
Deep understanding of data engineering concepts such as ingestion pipelines, transformations, batch and streaming systems, metadata, lineage, and governance.Experience building or productizing AI/ML or GenAI-powered featuresFamiliarity with public cloud platforms (AWS, GCP, or similar) and enterprise-scale deployments.Strong systems thinking and the ability to reason about tradeoffs across performance, cost, reliability, and usability.Proven ability to influence without authority and build alignment across diverse stakeholder groups.Comfort operating in ambiguous problem spaces and shaping direction where requirements are not fully defined.

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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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