Senior Data Analyst

Data Analyst IV

The Lead Data Analyst reviews and approves complex analytics and statistical modeling on large data sets that identify current market sector trends and customer patterns. This job directs the examination and identification of data patterns and trends that help answer business questions and improve decision-making. The Lead Data Analyst oversees the collection of data sources, as well as the analysis and extraction of key data and information. This job also ensures that data quality meets the organization's information system needs and requirements.

Key Responsibilities and Duties

• Approves mathematical, statistical, and economic techniques that determine market conditions, project consumer needs and inform business initiatives.
• Analyzes and reviews trends found from modeling to inform other lines of business such as product development and marketing decisions.
• Oversees data mining models, statistical reporting and data analysis methodologies to identify key customer segments and to simulate impact of potential business decisions.
• Develops and presents detailed reports and conclusions for business, finance, and investment management based on data summaries.
• Analyzing results for multiple functions and communicating conclusions from complex models to a wide range of audiences.
• Partners with other areas of the business to model outcome of implementing potential business strategies.
• Manages large, complex projects or processes with limited oversight while working with other team members to ensure accurate findings and results.

Educational Requirements

• Bachelor's Degree Required

Work Experience

• 5 Years Required; 7 Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level

8IC

Required Skills

Data modeling experience in designing relational databases and data warehouses; proficiency with the Hackolade modeling tool.

Experience in integrating governance processes such as creating Meta Model and Data Lineage documentation with GIT and Collibra platforms.

Hands-on experience with Snowflake database and writing complex queries.

Expertise in query performance tuning.

Preferred Skills

Hands-on experience with AWS, Teraforms, Glue, and Python.

CloudBees pipeline frameworks.

ServiceNow Change Management process