Retail Analyst - Marketing Analytics

Role Overview:

We are looking for a Data Analytics professional with experience in banking, retail, marketing, or campaign analytics. The role will focus on analysing large datasets, developing dashboards, identifying customer and business trends, and generating actionable insights to support data-driven decision-making.

Key Responsibilities:

• Extract, clean, transform, and analyse large datasets from multiple sources, including Hive, SQL databases, and ETL pipelines.
• Analyse customer behaviour, banking performance, campaign outcomes, market trends, and other business metrics to identify actionable insights.
• Develop and maintain interactive Tableau dashboards and reports for business and management stakeholders.
• Define and track KPIs in collaboration with business, marketing, product, and other cross-functional teams.
• Develop data visualizations and analytical reports to support business, customer, and marketing decisions.
• Perform exploratory and ad-hoc analysis to identify trends, patterns, opportunities, and performance gaps.
• Work with large datasets using Hadoop ecosystem technologies such as Hive and Spark.
• Ensure data quality, accuracy, consistency, and integrity across analytical outputs.
• Collaborate with cross-functional stakeholders to understand business requirements and translate them into analytical solutions.
• Continuously improve dashboards, analytical processes, and reporting frameworks based on evolving business needs.

Required Candidate Profile:

• 8 - 10 years of experience in Data Analytics, Business Intelligence, Retail Analytics, Banking Analytics, Marketing Analytics, or Campaign Analytics.
• Strong hands-on experience with Tableau and data visualization.
• Advanced SQL skills with experience querying and analysing large datasets.
• Experience working with Hive and/or the Hadoop ecosystem.
• Good understanding of Spark and big-data processing concepts.
• Working knowledge of Python for data analysis and automation.
• Experience working with ETL processes and data from multiple sources.
• Strong understanding of KPIs, customer analytics, campaign performance, and business reporting.
• Banking/financial services or retail analytics experience is preferred.
• Strong analytical, problem-solving, communication, and stakeholder management skills.