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Applied Analytics Jobs (NOW HIRING)

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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 ...

PlayStation Global

Sr. Applied Analyst

San Mateo, CA · On-site

$100K - $132K/yr

Senior Applied Analyst San Mateo, CA We are seeking a Senior Applied Analyst to drive early-stage ... This role sits at the intersection of business, analytics, and data science, and is responsible for ...

PlayStation Global

Sr. Applied Analyst

San Mateo, CA · On-site

$100K - $132K/yr

Senior Applied Analyst San Mateo, CA We are seeking a Senior Applied Analyst to drive early-stage ... This role sits at the intersection of business, analytics, and data science, and is responsible for ...

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 ...

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How much do applied analytics jobs pay per hour?

As of Aug 8, 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.

Is applied analytics a good career?

Applied analytics is a growing field that involves using data analysis, statistical methods, and tools like SQL and Python to inform business decisions. It offers opportunities across industries such as finance, healthcare, and marketing, often requiring strong problem-solving skills and data visualization abilities. The career typically provides competitive salaries and demand for skilled professionals with relevant certifications or degrees.

What are the key skills and qualifications needed to thrive as an applied analytics professional?

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 is 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.

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 August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $108,693 per year, or $52.3 per hour.

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

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Re-posted 4 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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