Galaxy Holdings ★ 4.5

The BI Analyst will play a crucial role in the Loyalty Department, helping to transform data into actionable insights that drive decision-making across the organization. This role involves collecting, analyzing, and interpreting data related to customer loyalty programs, member behaviors, and business performance. The BI Analyst will collaborate with various departments to support the development and execution of data-driven strategies aimed at enhancing customer loyalty and maximizing ROI.

KEY RESPONSIBILITIES

• Data Collection & Management: Gather, clean, and manage large datasets from various sources, including customer transactions, loyalty program activities, and partner integrations.

• Data Analysis & Reporting: Analyze data to identify trends, patterns, and insights that inform business decisions. Create comprehensive reports and dashboards to visualize data for stakeholders.

• Performance Monitoring: Track the performance of loyalty programs and campaigns, providing regular updates and recommendations to optimize results.

• Collaboration: Work closely with marketing, finance, and IT teams to support the development and implementation of loyalty strategies and initiatives.

• Predictive Analytics: Utilize advanced analytical techniques, including machine learning and statistical modeling, to predict customer behavior and identify opportunities for growth.

• Ad Hoc Analysis: Conduct ad hoc analyses as requested by leadership to address specific business challenges or opportunities.

• Data Integrity & Quality: Ensure the accuracy and integrity of data through regular audits and validations.

• Education: Bachelor’s degree in Business, Statistics, Data Science, or a related field.

• Experience: 2+ years of experience in business intelligence, data analysis, or a similar role, preferably within a loyalty or customer-focused industry.

• Technical Skills: Proficiency in BI tools such as Tableau, Power BI, or Looker; strong SQL skills; experience with data warehousing and ETL processes.

• Analytical Skills: Strong analytical and problem-solving abilities with a keen eye for detail.

• Communication Skills: Excellent written and verbal communication skills, with the ability to present complex data in a clear and concise manner.

• Collaboration: Ability to work effectively in a team environment and collaborate with cross functional teams.

• Industry Knowledge: Familiarity with loyalty programs, customer data platforms (CDPs), and CRM systems is a plus.

Preferred Qualifications:

• Advanced Analytics: Experience with predictive modeling, machine learning, and statistical analysis tools (e.g., Python, R).

• Project Management: Proven ability to manage projects and deliver results in a fast-paced environment.

• Certification: Relevant certifications in BI or data analysis (e.g., Certified Business Intelligence Professional, Tableau Certification).