Senior Omni Channel Analyst

In this role, this resource would help working with large, disparate data-sets , work with multiple data environments / tools, and become a subject matter expert with data and source systems used within various lines of business.

Responsibilities
Data Analysis and Insights
• Work with business partners to determine analytical/reporting needs and refine requirements
• Analyze and mine data to derive insights in time allotted
• Make business recommendations based on the data findings
• Constantly look for opportunities to drive more efficient and innovative solutions to analytical requests

Data Governance
• Document data requirements, and code using DTOA approved tools and standards
• Perform data quality checks / audits to ensure accuracy and provide data notes for insights
• Partner with the Data Strategy / Data Services teams to highlight new data needs and help define requirements for business logic, recurring processes

Data Delivery / Distribution
• Develop efficient and value-added reporting / insights to business partners using organization approved tools and delivery methods
• Convey and highlight recommendations to ‘tell the story’ with data
• Ensure partners understand the data / tables / processes

Qualifications we seek in you!
• Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc
• 4+ years of relational database / data warehouse experience
• 4+ years of analytical experience
• Ability to excel in a fast-paced, complex, and ambiguous business environment
• Ability to deliver work on-time
• Team player mentality
• “Get stuff done” approach
• Attentiveness to detail
• Desire to learn and grow with an organization
• Proficiency in SQL
• Proficiency in Microsoft Office suite
• Proficiency with business intelligence tools such as Tableau, PowerBI, or MicroStrategy

Preferred Qualifications/ Skills
• + years of relational database experience
• 6+ years of analytical experience
• Ability to apply statistical rigor to analyses
• Knowledge of “big data” environments and tools
• Experience with digital and contact center data and analytics
• Experience with data warehouse platforms such as Snowflake, Cloudera/Hadoop
• Experience with text mining and natural language processing
• Proficiency in , R, and/or Python programming languages
• Interest in machine learning and artificial intelligence