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Loyalty Data Analyst Jobs

Analyst, Loyalty & Travel Products (Tempe)
By Hawaiian Airlines At Tempe, AZ, United States
Prior experience using JIRA or other task management systems to receive, track, prioritize, and complete requests from multiple business owners
Bachelor’s degree in a quantitative, business, technical, or related discipline; or an equivalent combination of education and related working experience
Good technical skills and knowledge of MS Office, specifically Excel (e.g. pivots, charts, Power Query, etc.)
Build and manage multiple business cases, models, and forecasts to help guide positive business outcomes
Define analytical and data requirements for information systems, and work with technology teams on implementing and prioritizing improvements
2 years of professional experience in data analysis or related working experience
Analyst, Loyalty & Travel Products
By Hawaiian Airlines At Honolulu, HI, United States
Prior experience using JIRA or other task management systems to receive, track, prioritize, and complete requests from multiple business owners
Bachelor’s degree in a quantitative, business, technical, or related discipline; or an equivalent combination of education and related working experience
Good technical skills and knowledge of MS Office, specifically Excel (e.g. pivots, charts, Power Query, etc.)
Build and manage multiple business cases, models, and forecasts to help guide positive business outcomes
Define analytical and data requirements for information systems, and work with technology teams on implementing and prioritizing improvements
2 years of professional experience in data analysis or related working experience
Sr Analyst, Loyalty Promotions
By Circle K At Charlotte, NC, United States
Time-management skills with the ability to thrive in a fast-paced environment and to manage multiple, competing priorities.
Bachelor’s degree, combinations of job-related experience and education that meet the minimum requirement may be substituted.
Must be able to adapt to rapidly changing environment, manage multiple priorities, possess strong analytical skills, and meet deadlines
Project Management competencies is a plus
Measure and report out on results to optimize loyalty campaigns and offers
Proactively develop processes, tools, and other means to efficiently manage the loyalty promotions process
Data Analyst - Loyalty
By SKIMS At Los Angeles, CA, United States
Excellent SQL skills with experience using statistical programming languages (Python, R, etc.) to manipulate data and draw insights from large datasets
3-5 years experience in a business analytics or data science role, preferably working in a direct-to-consumer business
Direct experience with experimentation design and A/B test measurement highly desirable
Experience creating executive-level dashboards using visualization tools like Looker (highly desired), Tableau, or PowerBI
Develop dashboards and reporting that empower self-service, data-driven decision making
Work with our technology partners and data engineers to ensure high-quality, usable data are captured to support reliable business analytics
Loyalty Data Analyst Jobs
By Circle K At Charlotte, NC, United States
Experience with BI and analytical tools (Power BI, Tableau, Azure, Databricks, Jupyter Notebooks or similar)
Some experience with query processing languages (SQL, PySpark)
Experience with statistical analysis languages is an advantage (e.g. R, Python)
Facilitate best practice sharing and contribute to automation and improvement of existing processes.
You think analytically, creatively and pragmatically
You’re a problem solver and like to create, but you also appreciate that sharing your work makes us all better

Are you an analytical problem solver with a passion for data? We are looking for a Loyalty Data Analyst to join our team and help us uncover insights from our customer loyalty program. You will be responsible for analyzing customer data to identify trends and opportunities to improve our loyalty program and increase customer engagement. If you are an experienced data analyst with a knack for uncovering insights, this is the perfect opportunity for you!

A Loyalty Data Analyst is responsible for analyzing customer loyalty data to identify trends and insights that can help improve customer loyalty and retention. They use data from customer surveys, loyalty programs, and other sources to identify opportunities to increase customer engagement and loyalty. They also develop strategies to increase customer loyalty and retention, and track the success of those strategies. To become a Loyalty Data Analyst, you need strong analytical and problem-solving skills, as well as a good understanding of customer loyalty and retention strategies. You should also have experience working with data analysis tools and software.

Skills required for a Loyalty Data Analyst include:

• Strong analytical and problem-solving skills
• Knowledge of customer loyalty and retention strategies
• Experience working with data analysis tools and software
• Ability to interpret and analyze customer data
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Ability to work with tight deadlines

Knowledge required for a Loyalty Data Analyst includes:

• Understanding of customer loyalty and retention strategies
• Knowledge of customer segmentation and targeting
• Knowledge of customer analytics and data mining
• Knowledge of customer loyalty program design and implementation
• Knowledge of customer loyalty program metrics and KPIs
• Knowledge of customer loyalty program optimization

Responsibilities of a Loyalty Data Analyst include:

• Analyzing customer loyalty data to identify trends and insights
• Developing strategies to increase customer loyalty and retention
• Tracking the success of loyalty strategies
• Identifying opportunities to increase customer engagement
• Working with data analysis tools and software
• Interpreting and analyzing customer data
• Communicating insights to stakeholders

Experience required for a Loyalty Data Analyst includes:

• Experience working with customer loyalty and retention strategies
• Experience working with data analysis tools and software
• Experience working with customer segmentation and targeting
• Experience working with customer analytics and data mining
• Experience working with customer loyalty program design and implementation
• Experience working with customer loyalty program metrics and KPIs
• Experience working with customer loyalty program optimization

Qualifications required for a Loyalty Data Analyst include:

• Bachelor’s degree in a related field such as business, marketing, or analytics
• Experience working with customer loyalty and retention strategies
• Experience working with data analysis tools and software
• Knowledge of customer segmentation and targeting
• Knowledge of customer analytics and data mining
• Knowledge of customer loyalty program design and implementation
• Knowledge of customer loyalty program metrics and KPIs

Education required for a Loyalty Data Analyst includes:

• Bachelor’s degree in a related field such as business, marketing, or analytics
• Courses in customer loyalty and retention strategies
• Courses in data analysis tools and software
• Courses in customer segmentation and targeting
• Courses in customer analytics and data mining
• Courses in customer loyalty program design and implementation
• Courses in customer loyalty program metrics and KPIs

Tools that help Loyalty Data Analysts work better include:

• Data analysis tools and software such as Tableau, Microsoft Power BI, and SAS
• Customer segmentation and targeting tools such as Segment and Optimizely
• Customer analytics and data mining tools such as Google Analytics and Mixpanel
• Customer loyalty program design and implementation tools such as LoyaltyLion and Belly
• Customer loyalty program metrics and KPIs tracking tools such as LTV and CLV

Good tips to help Loyalty Data Analysts do more effectively include:

• Stay up to date on the latest trends in customer loyalty and retention strategies
• Utilize data analysis tools and software to identify trends and insights
• Develop strategies to increase customer engagement and loyalty
• Track the success of loyalty strategies and adjust as needed
• Communicate insights to stakeholders in a clear and concise manner

Common Loyalty Data Analyst interview questions include:

• What experience do you have working with customer loyalty and retention strategies?
• How familiar are you with data analysis tools and software?
• What strategies have you used to increase customer engagement and loyalty?
• How do you track the success of loyalty strategies?
• What insights have you identified from customer loyalty data?