Data Analyst

Job Description

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: Strong analytical and problem-solving skills. Proficiency in data analysis tools and techniques (SQL, Python, R, etc.). Experience with data visualization tools (Tableau, Power BI, etc.). Understanding of customer loyalty program mechanics and best practices. 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.