Our Client Currently looking for Senior Data Analyst
What Success Looks Like (Objectives)
- Lead end-to-end analytical projects, translating complex business problems into actionable customer lifecycle strategies and data-driven recommendations
- Design, develop, and maintain robust reporting suites and interactive dashboards that provide clear visibility into customer lifetime value, engagement, and churn metrics
- Conduct advanced statistical analysis to identify key business drivers of customer retention and establish measurable key performance indicators (KPIs) that align with department OKRs
- Collaborate with Data Science teams to prepare high-quality datasets, engineer features, and translate AI model outputs into intuitive business recommendations
- Leverage generative AI and analytics automation tools to streamline reporting workflows, write efficient SQL queries, and accelerate data exploration
- Mentor junior analysts by providing technical guidance, conducting peer code reviews, and documenting analytical processes to ensure long-term scalability
Skills, Experience and Requirements
Core Skills and Competencies (What you’ll bring)
- Advanced proficiency in querying complex datasets using SQL alongside statistical analysis capabilities in Python or R
- Hands-on experience performing data engineering, transformation, and dimensional data modeling within Snowflake or Databricks environments
- Extensive expertise in data visualization, specifically in designing high-impact interactive dashboards using Tableau, Power BI, or similar platforms
- Strong analytical thinking and statistical reasoning to interpret complex datasets and translate them into actionable business insights
- Exceptional communication and data storytelling abilities to convey complex analytical findings clearly to non-technical business partners and executive leadership
- Practical AI literacy and application skills, demonstrating the ability to leverage AI-assisted development tools to optimize data pipelines and analytical workflows
Additional Qualifications
- Prior domain experience in customer lifecycle analytics, customer experience (CX), finance, or marketing analytics
- Master’s degree in a quantitative field such as Business Analytics, Statistics, Data Science, Computer Science, Economics, or Mathematics
Minimum Requirements
- Minimum Education: Bachelor’s Degree in a quantitative field (such as Business Analytics, Statistics, Data Science, Computer Science, Economics, Mathematics, or a related field)
- Minimum Experience: 4 years of experience in Data Analytics, Business Analytics, or a related analytical field
- Required Technical Skills:
- Writing advanced SQL queries for data extraction and manipulation
- Building interactive dashboards in Tableau, Power BI, or similar visualization tools
- Data engineering or data analysis on Snowflake or Databricks platforms
- Data analysis or statistical modeling using Python or R
- Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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