Data Analyst

Job Title: Senior Data Analyst For Loyalty Marketing

Role & responsibilities

Data Collection and Analysis:

Gathering and processing data from various sources (sales records, website
interactions, surveys, etc.) to understand customer behavior and preferences.

Performance Reporting:

Developing and maintaining dashboards and reports to track key performance
indicators (KPIs) such as redemption rates, customer acquisition cost, and program ROI.

Trend Identification:

Identifying patterns and trends in customer behavior to understand what drives
loyalty and what might cause customers to leave the program.

Insight Generation:

Translating data analysis into actionable insights that can inform marketing
strategies, product development, and customer service improvements.

Strategic Support:

Providing data-driven recommendations to improve program design, optimize
rewards, and personalize customer experiences.

Data Quality and Governance:

Ensuring the accuracy and integrity of data used for analysis and implementing
data quality and security policies.

Stakeholder Collaboration:

Working with marketing, sales, product, and other teams to ensure loyalty program
initiatives are aligned with overall business goals.

Predictive Modeling:

Using data to predict customer behavior, such as churn, and implementing
strategies to mitigate potential losses.

Skills and Qualifications:

Excellent communication and presentation skills.
Ability to work effectively with cross-functional teams. Experience with data mining and ETL processes. Knowledge of statistical analysis methods. Familiarity with data warehousing and cloud computing

Preferred candidate profile:

• 5-7 years of experience in data analysis or a related field with expertise in marketing analytics.
• Strong proficiency in Adobe Analytics, Google Analytics, Power BI, SQL, Tableau, Web Analytics.
• Experience working with loyalty programs or similar customer retention initiatives.