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Customer Analytics Jobs (NOW HIRING)

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$82K - $109K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$81K - $107K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Key Biscayne, FL · On-site

$82K - $108K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami Gardens, FL · On-site

$80K - $106K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL

$89K - $118K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Medley, FL

$81K - $107K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami Gardens, FL · On-site

$80K - $106K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami Beach, FL · On-site

$86K - $115K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$80K - $105K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

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Customer Analytics information

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How much do customer analytics jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for customer analytics in the United States is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.63 per hour, depending on experience, location, and employer.

What does a customer analyst do?

A customer analyst examines customer data to identify trends, behaviors, and preferences that can inform marketing strategies and improve customer experience. They use tools like Excel, SQL, or analytics software and often analyze large datasets to support business decision-making. Strong analytical skills and understanding of customer segmentation are essential for this role.

What is the role of customer analytics?

Customer analytics involves analyzing customer data to understand behaviors, preferences, and trends, helping businesses improve marketing, sales, and customer experience strategies. Customer analysts use tools like data visualization and statistical software to interpret large datasets and support data-driven decision-making.

What are the key skills and qualifications needed to thrive in Customer Analytics, and why are they important?

To thrive in Customer Analytics, you need strong analytical skills, proficiency in statistics, and a background in fields like mathematics, business, or data science. Familiarity with technical tools such as SQL, Python or R, and experience with data visualization platforms like Tableau or Power BI are typically required. Excellent communication, problem-solving, and business acumen are important soft skills for translating data insights into actionable strategies. These skills ensure you can extract meaningful customer insights, drive business decisions, and contribute to organizational growth.

How do professionals in Customer Analytics typically collaborate with marketing and product teams?

Customer Analytics professionals frequently work closely with marketing and product teams to translate data insights into actionable strategies. They often participate in cross-functional meetings, sharing findings from customer behavior analyses to help refine marketing campaigns or inform product enhancements. This collaboration requires strong communication skills, as they must present complex data in a way that is accessible to non-technical stakeholders. The role often bridges the gap between raw data and business strategy, making teamwork and adaptability essential for success.

Is 40 too old to become a data analyst?

Customer analytics roles often value skills and experience over age, and many professionals transition into data analysis later in their careers. Gaining proficiency in tools like Excel, SQL, and data visualization, along with relevant certifications, can help individuals of any age succeed in becoming data analysts.

What is customer analytics?

Customer analytics is the process of collecting and analyzing data about customers’ behaviors, preferences, and interactions with a business. This information helps companies understand their customers better, segment their audience, and tailor products, services, and marketing strategies to meet specific needs. By leveraging customer analytics, organizations can enhance customer satisfaction, improve retention rates, and increase overall business performance. It often involves the use of data analysis tools, customer relationship management (CRM) systems, and predictive modeling to make informed decisions.

What is the difference between Customer Analytics vs Customer Data Analyst?

AspectCustomer AnalyticsCustomer Data Analyst
Primary FocusAnalyzing customer data to identify trends and insights for strategic decision-makingCollecting, cleaning, and interpreting customer data for reporting and operational purposes
Skills & CertificationsData analysis, statistical skills, knowledge of analytics tools, possibly marketing backgroundData management, SQL, Excel, basic analytics skills, often with a focus on data reporting
Work EnvironmentMarketing, business intelligence teams, often in data-driven companiesData teams, IT departments, or customer service units within organizations

Customer Analytics professionals focus on deriving strategic insights from customer data to inform marketing and business decisions. Customer Data Analysts handle data collection and reporting tasks to support operational needs. While both roles require data skills and work with customer data, Customer Analytics emphasizes strategic analysis, whereas Customer Data Analysts focus on data management and reporting.

How much does a Customer Insights analyst earn?

A Customer Insights analyst typically earns between $60,000 and $90,000 annually, depending on experience, location, and industry. Entry-level roles may start around $50,000, while experienced analysts with advanced skills in data analysis tools can earn over $100,000.
More about Customer Analytics jobs
What cities are hiring for Customer Analytics jobs? Cities with the most Customer Analytics job openings:
What are the most commonly searched types of Customer Analytics jobs? The most popular types of Customer Analytics jobs are:
What states have the most Customer Analytics jobs? States with the most job openings for Customer Analytics jobs include:
Infographic showing various Customer Analytics job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,910 per year, or $19.7 per hour.
Sr. Analyst, Customer Analytics

Sr. Analyst, Customer Analytics

Subway

West Park, FL

$81K - $108K/yr

Full-time

Medical, Life, Retirement

Posted 5 days ago


Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,026 frontline employees who took The Breakroom Quiz

96th of 103 rated fast food restaurants


Job description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.

Senior Analyst, Customer Analytics

 

Ready to build what’s next with one of the world’s most iconic brands?

Why Join Subway?

At Subway, we are not standing still. We are building.

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.

You will not just do the work. You will shape it.

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.

If you bring energy, accountability and a bias for action, you will fit right in.

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.

This is your chance to be part of what’s next.

About the Role:

The Senior Analyst, Customer Analytics drives customer and loyalty analytics across Subway’s digital ecosystem. Partnering with product, marketing, loyalty, IT, and analytics, this role turns guest behavior, loyalty performance, and campaign outcomes into insights that lift acquisition, engagement, conversion, retention, and revenue.You will analyze behavior across digital touchpoints, measure loyalty and CRM effectiveness, build audience segments, and map KPIs across the customer journey. Strong SQL skills and experience with modern cloud platforms (Redshift, Snowflake, Databricks) and BI tools (Tableau, Power BI) are essential. This is a high-visibility, cross-functional role with regular exposure to VP- and executive-level leaders.

Responsibilities include but not limited to:

Customer and Loyalty Analytics

  • Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value.
  • Measure loyalty program performance: member growth, frequency, redemption, retention, and incremental impact.
  • Surface opportunities to improve conversion, repeat purchase, basket size, and engagement across digital touchpoints.
  • Build segment-level insights to power targeted marketing, product, and loyalty strategies. Partner with CRM analytics to ensure strategic alignment.
  • Run cohort, lifecycle, and behavioral segmentation analyses to identify key drivers of guest behavior.

Campaign, Offer, and Audience Measurement

  • Measure campaign, journey, and offer performance across owned and paid channels.
  • Identify high-value segments, engagement triggers, and personalization opportunities.
  • Evaluate offer mechanics, loyalty incentives, and promotional constructs.
  • Partner with loyalty and marketing on campaign effectiveness, reach, and downstream business impact.
  • Operationalize an audience-driven analytics agenda spanning messaging, segmentation, personalization, and CX.

KPI Mapping and Insight Generation

  • Build and refine KPI frameworks linking customer behavior to business outcomes across the guest journey.
  • Document customer, loyalty, product, and campaign KPIs for consistency, transparency, and actionability.
  • Translate complex datasets into clear narratives for product, marketing, loyalty, and leadership audiences.
  • Deliver dashboards, recurring reports, and executive-ready insights.
  • Support business cases, opportunity sizing, and impact modeling tied to customer and loyalty initiatives.

Data, Tools, and Technical Execution

  • Write complex SQL to extract, join, validate, and analyze customer and behavioral data.
  • Work across clickstream, profile, loyalty, campaign, transaction, and audience datasets.
  • Build scalable reporting in Tableau and Power BI.
  • Use Adobe Experience Platform (RTCDP, AJO, CJA) for audience, journey, and cross-channel insight generation.
  • Partner with engineering and data teams on data quality, event mapping, and measurement design.
  • Apply LLMs and AI-enabled workflows to speed insight generation, documentation, taxonomy, and KPI mapping.

Cross-Functional Partnership and Influence

  • Embed customer insights into product roadmaps, campaigns, and experience decisions.
  • Present findings and recommendations to senior stakeholders, including VP and executive audiences.
  • Shift customer analytics from reactive reporting to proactive, decision-driving insight.
  • Foster a culture of analytical rigor, experimentation, and business-minded storytelling.

Qualifications (some examples listed below):

Required

  • Bachelor’s degree in analytics, statistics, economics, marketing, business, computer science, or a related field.
  • 5–7 years in customer, loyalty, CRM, or digital analytics.
  • Strong SQL with hands-on experience querying large datasets.
  • Experience with cloud data platforms such as Redshift, Snowflake, or Databricks.
  • Proficiency in Tableau and/or Power BI.
  • Proven work analyzing customer behavior, segmentation, lifecycle, loyalty, and campaign performance.
  • Solid grasp of KPI development and customer journey measurement.
  • Cross-functional experience with product, marketing, loyalty/CRM, and technology teams.
  • Strong communicator who translates analysis into business recommendations for senior stakeholders.

Preferred

  • Adobe Experience Platform (RTCDP, AJO, CJA).
  • Experimentation, personalization measurement, and audience-based decisioning.
  • CRM, lifecycle marketing, or loyalty program support.
  • Python, R, or similar analytical languages.
  • AI/LLM tools applied to analysis, workflow efficiency, or knowledge management.
  • QSR, retail, ecommerce, or other high-volume transactional environments.

What Success Looks Like

  • Customer and loyalty performance are measured with greater rigor and consistency.
  • Stakeholders gain clearer visibility into audience behavior, segment opportunity, and campaign impact.
  • Reporting shifts from backward-looking summaries to forward-looking, actionable insights.
  • Customer analytics becomes a stronger input into roadmap, loyalty, segmentation, and CX decisions.
  • Leadership sees a clear link between audience strategy, guest behavior, and business performance.

What do we offer?

  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More…..

Compensation: The base pay range for this role is $91,400 - $114,400 annually

Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.

The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V


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