Senior Omni Channel Analyst Apply
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
