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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 - $115K/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 ...

Yum

Associate Manager, AIDM Analytics

Irvine, CA · On-site

The Day-to-Day: • Collaborate with cross-functional partners (Campaign Analytics, CRM, Ecommerce, Loyalty, etc.) and tech partners to improve applied analytics, strategy, and learnings for our ...

Zocdoc

Staff Data Scientist, Marketplace Analytics

Required : • 8+ years of experience in Data Science, Product Analytics, Applied Analytics, or Experimentation, with a track record of solving high-impact, cross-functional business problems. • A ...

S and T Bank

Data & Analytics Senior Analyst

Indiana, PA · On-site

$48K - $115K/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 ...

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How much do applied analytics jobs pay per hour?

As of Jul 14, 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 close to or exceeding $1 million annually, especially in large corporations or consulting firms. These positions typically require extensive experience, advanced skills in data modeling, leadership, and strategic decision-making, often supplemented by advanced degrees and certifications. Compensation at this level may include base salary, bonuses, stock options, and other incentives.

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.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in analyzing data to solve real-world problems. It often involves skills in programming, data visualization, and statistical software, with demand across industries such as finance, healthcare, and technology. The field offers opportunities for growth, specialization, and competitive salaries.

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 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 a master's or PhD degree.

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
Adjunct Lecturer, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus, Fall '26)

Adjunct Lecturer, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus, Fall '26)

Columbia University

New York, NY

$11K - $13K/mo

Part-time

Re-posted 9 days ago

Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach an on-campus graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts.

Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. 

Requirements

  • Doctoral degree in an area related to applied analytics, computer science, or information technology
  • Solid knowledge and academic foundation in statistics.
  • Deep understanding of machine learning concepts and algorithms.
  • Proficiency in R and Python programming.
  • Professional experience and demonstrated success in a role involving applied analytics, crypto, blockchain, etc.

Preferred Skills & Experience

  • 10+ years of professional experience in analytics-focused roles.
  • 2+ years of teaching experience, ideally at the graduate level.
  • Proficient in JavaScript
Additional Information

Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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