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Applied Analytics Jobs (NOW HIRING)

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 ...

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 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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Manager, Digital Applied Analytics

Manager, Digital Applied Analytics

Yum Brands

Irvine, CA • Hybrid

Full-time

Medical, Dental, Retirement, PTO

Re-posted 7 days ago


Yum! Brands rating

3.9

Company rating: 3.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Who is Taco Bell?

Taco Bell was born and raised in California and has been around since 1962. We went from selling everyone's favorite Crunchy Tacos on the West Coast to a global brand with 8,500+ restaurants, 350 franchise organizations, that serve 42+ million fans each week around the globe. We're not only the largest Mexican-inspired quick service brand (QSR) in the world, we're also part of the biggest restaurant group in the world: Yum! Brands.

Much of our fan love and authentic connection with our communities are rooted in being rebels with a cause. From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ways that hasn't been done before... we will continue to be inclusive, bold, challenge the status quo and push industryboundaries.  

We're a company that celebrates and advocates for different, has bold self-expression, strives for a better future, and brings the fun while we're at it. We fuel our culture with real people who bring unique experiences. We inspire and enable our teams and the world to Live Mas.

At Taco Bell, we're Cultural Rebels. Want to join in on the passion-fueled fun? Learn more about the career below. 

About the Job:

This role leads the Digital Customer Data & Analytics team, reporting to the Director of Digital Customer Data & Analytics, and will manage 3-4 direct reports. It is a highly technical leadership position requiring recent, hands-on experience in data engineering practices, infrastructure design, and advanced analytics. The candidate must demonstrate expert-level SQL proficiency, intermediate Python skills, and exposure to ML/AI, as technical work cannot be delegated and must be executed personally for speed and accuracy. 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 strategic decisions across digital platforms. This position will have significant impact by ensuring analytics excellence and enabling faster, smarter decisions that align with organizational priorities.

The Day-to-Day:

  • Lead and manage a team of digital customer analysts to build and support digital customer analytics across the organization.
  • Own the development and execution of impactful deliverables with data-drive insights that inform strategic decision-making across creative, technical, and business stakeholders.
  • Explore, scope, perform discovery, build, and implement new and current data models for baseline reporting and direct application of data model outputs to digital pillars. Work closely and knowledgably with data engineers to pipe data and data science teams to build data models, along with cross-functional partners to design domain-specific analytics frameworks.
  • Ensure high data accuracy across all data platforms through regular data audits across all data sources and be able to knowledgably discovery, document, and ensure completion of outstanding data issues.
  • Ensure that foundational analytics work aligns closely and is relevant with broader organization goals and big bets across the different domains.
  • Support best-practice A/B testing and experimentation with a clear understanding of complex statistical concepts and methodologies (Bonferroni, Bayesian, etc.)
  • Personally perform technical analytics utilizing SQL/Python at an expert level proficiency.
  • Understanding of UAT/PVT methodologies and best practices to ensure proper governance, taxonomy, and implementation on digital platforms. 

Is This You?

  • Bachelor's/Master's degree in technical field (Math, STEM, Economics, Statistics, etc.)
  • 8+ years of analytics experience, preferably with a focus on app/web or ecommerce data.
  • 6+ years of hands-on experience designing, building, and applying various data models (multi-touch attribution, mixed marketing, churn, etc.)
  • 8+ years of hands-on experience with SQL (expert proficiency)
  • 5+ years of hands-on experience with Python (intermediate proficiency)
  • Strong understanding of data architecture design, data pipelines, and data storage
  • Strong understanding of data validation and QA both on digital platforms and within a database
  • High proficiency in experimentation setup and readouts for A/B, multivariate experimentation
  • Prior experience with digital platforms a huge plus (e.g. Amplitude, Mixpanel, Braze, Salesforce, GA4) 

Work-Hard, Play-Hard:

Hybrid work schedule (onsite expectation Tues, Wed, Thurs) and year-round flex day Friday
Onsite childcare through Bright Horizons 
Onsite dining center and game room (yes, there is a Taco Bell inside the building) 
Onsite dry cleaning, laundry services, carwash, 
Onsite gym with fitness classes and personal trainer sessions 
Up to 4 weeks of vacation per year plus holidays and time off for volunteering 
Generous parental leave for all new parents and adoption assistance program 
401(k) with a 6% matching contribution fromYum! Brands with immediate vesting 
Comprehensive medical & dental including prescription drug benefits and 100% preventive care
Discounts, free food, swag and... honestly, too many good benefits to name

Salary range: $162,000 - $205,400 + bonus eligibility

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.

At Taco Bell, we Live Mas and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self! 

Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity.  We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. 

Taco Bell is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.  

US Job Seekers/Employees - To view the "Know Your Rights" poster, click here. You may also access Taco Bell's Pay Transparency Policy Statement.

Employment eligibility to work with Taco Bell in the U.S. is required as the company will not pursue visa sponsorship for this position.

California Residents: For more information about the categories of personal information we collect from you and how we use, sell, and share that information, please see our Privacy Notice for California Employees here.

Salary range: $162,000 - $205,400 + bonus eligibility


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