Job Description :
A fast-growing Data & Analytics firm is seeking a Data Analyst to design and execute analytics solutions, drive data transformation initiatives, and collaborate with campaign management teams. This role is ideal for a data-driven professional with retail analytics and banking domain experience.
Responsibilities :
- Design and execute analytics solutions using SAS and SQL for retail analytics use cases.
- Collaborate with campaign management teams to track and improve campaign effectiveness.
- Generate detailed reports and actionable insights based on retail banking data.
- Convert business requirements into analytical frameworks and solutions.
- Contribute to data transformation initiatives, including migration and modernization projects.
- Automate legacy processes using modern tools such as Python and Dataiku.
- Explore and adopt new tools to improve productivity and analysis accuracy.
- Develop customer segmentation models to enhance campaign targeting and personalization.
- Monitor and analyze campaign lifecycles to identify areas for optimization.
- Work closely with stakeholders to ensure alignment of analytics solutions with business goals.
- Provide mentorship and guidance to junior analysts on best practices in analytics.
Requirements :
Proficiency in SAS and SQL; familiarity with Python and Dataiku is a strong advantage.Hands-on experience in campaign tracking and retail banking analytics.Strong domain knowledge in retail analytics, campaign management, and banking.Automation skills using modern tools like Python and Dataiku.Experience working on migration or transformation projects.Comprehensive understanding of campaign lifecycles and customer segmentation strategies.Proficiency in analytics and reporting tools, dashboards, and visualization techniques.Analytical mindset with exceptional attention to detail and problem-solving skills.Collaborative team player with excellent communication and interpersonal skills.Bachelor's or Master's degree in a relevant field such as Data Science, Statistics, or Business Analytics.(ref : hirist.tech)