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... power of data, applied analytics, and new technology to drive results across all business units. This leader will be expected to further develop the analytical capabilities of Hard Rock ...

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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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What states have the most Applied Analytics jobs? States with the most job openings for Applied Analytics jobs include:
Manager CRM Consumer Audience Analytics

Manager CRM Consumer Audience Analytics

EssilorLuxottica Group

Manhattan, NY • On-site

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago


EssilorLuxottica rating

7.2

Company rating: 7.2 out of 10

Based on 293 frontline employees who took The Breakroom Quiz

8th of 39 rated optical retailers


Job description

Requisition ID: 922667 
Store #: 
X00014 Loyalty & Analytics - NY 5th 
Position: Full-Time 
Total Rewards: Benefits/Incentive Information

If you’ve worn a pair of glasses, we’ve already met.

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions, iconic brands that consumers love such as Ray-Ban, Oakley, Persol and Oliver Peoples, as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut, LensCrafters, and Target Optical, and leading e-commerce platforms.

Our portfolio of more than 150 renowned brands span various categories, from frames, lenses and instruments to brick and mortar and digital distribution as well as mid-range to premium segments. Our Shared Services Team, accompany and enable others within the EssilorLuxottica collective to achieve their targets. They keep people and projects running smoothly, ensuring every part of our business is provided for and well taken care of.

Join our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!

GENERAL FUNCTION

 The Manager of Consumer Analytics will collaborate closely with business leaders to deliver actionable, data-driven insights and help drive customer engagement. In this individual contributor role, the Manager will take full ownership of analyzing customer behavior and campaign performance across multiple channels — leveraging transactional, behavioral, clickstream, and demographic data.

 MAJOR DUTIES AND RESPONSIBILITIES

  • Insights and Analysis:
    Lead the development of recurring reports and ad hoc analyses that drive actionable insights, improving CRM strategies, and enhancing campaign performance across customer retention and acquisition efforts.
  • Strategic Recommendations:
    Provide clear insights and recommendations to business leaders, forecasting campaign results and suggesting course corrections to meet or exceed business objectives.
  • Data-Driven Testing and Methodologies:
    Design and implement testing methodologies and analytic approaches to answer key business questions, optimizing targeting tactics, and leveraging predictive models for improved campaign outcomes.
  • KPI Tracking and Performance Evaluation:
    Build and maintain dashboards and syndicated reports that evaluate consumer metrics and campaign KPIs, ensuring stakeholders have the data needed to make informed decisions.
  • Cross-Functional Collaboration:
    Partner with internal and external stakeholders to meet business objectives, providing regular reporting and deep-dive analysis on demand while managing expectations and delivering on time.
  • Project and Process Management:
    Manage multiple projects simultaneously, ensuring timely and high-quality deliverables while standardizing analytic processes for efficiency and consistency.

BASIC QUALIFICATIONS

  • BS/BA in economics, statistics, mathematics, or another quantitative field
  • 5+ years of experience in applied analytics, consulting, or similar decision science roles
  • Intermediate to advanced proficiency in SQL, BigQuery, or similar querying languages (Python is a plus)
  • Strong experience working with relational databases and handling large datasets
  • Proficiency in Microsoft Excel and PowerPoint for data analysis and presentation
  • Strong communicator with excellent written, verbal, and presentation skills, proficient in active listening, and adept at conveying messages to diverse audiences across various hierarchical levels
  • Strong critical thinking, problem-solving skills, and attention to detail
  • Ability to work independently and collaboratively in a fast-paced, cross-functional environment
  • Detail-oriented, with strong time management skills to thrive in a fast-paced environment and meet deadlines
  • A collaborative and flexible approach, with a positive attitude towards teamwork and adaptability

PREFERRED QUALIFICATIONS

  • Prior experience working in applied retail analytics
  • Prior experience working with cross-border teams (e.g., collaborating across NA/EU teams)
  • Experience developing dashboards from scratch (Looker, PBI, Tableau, etc.)

Pay Range: 107,824.80  - 157,073.60 

This posting is for an existing vacancy within our business. Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package. Benefits may include health care, retirement savings, paid time off/vacation, and various employee discounts.

EssilorLuxottica complies with all applicable laws related to the application and hiring process. If you would like to provide feedback regarding an active job posting, or if you are an individual with a disability who would like to request a reasonable accommodation, please call the EssilorLuxottica SpeakUp Hotline at 844-303-0229 (be sure to provide your name, job id number, and contact information so that we may follow up in a timely manner) or email HRCompliance@luxotticaretail.com.

We are an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, gender, national origin, social origin, social condition, being perceived as a victim of domestic violence, sexual aggression or stalking, religion, age, disability, sexual orientation, gender identity or expression, citizenship, ancestry, veteran or military status, marital status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy or maternity leave), genetic information or any other characteristics protected by law. Native Americans in the US receive preference in accordance with Tribal Law.


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