About the position
The Sr. Analyst of Omnichannel Analytics will gather, interpret, and provide data analytics, reporting, and insights across the Omnichannel Group, focusing on direct ecommerce, ancillary products, loyalty, and third-party distribution. This role involves unifying reporting efforts, optimizing data collection and analysis, automating existing reports, and leveraging business intelligence tools to create and monitor key performance indicators. The Sr. Analyst will also address complex technical problems, develop key performance metrics, and support a data-driven culture to enable informed business decisions, requiring both technical skills and a strategic business mindset focused on revenue impact.
Responsibilities
- Supports omnichannel business partners through the analysis of quantitative and qualitative data. ,
- Build customized, high-value analyses and dashboards that surface market insights. ,
- Identify, analyze, and interpret trends or patterns in complex data sets and report findings and make recommendations to company leadership. ,
- Pull together cross functional teams to identify business solutions as directed. ,
- Coordinate with omnichannel teams to review objectives and align them with broader business goals. ,
- Gather, translate, and build out business requirements into data model and report specifications. ,
- Guide omnichannel teams by providing high level data points to base program level forecasts off. ,
- Provide insights to omnichannel groups that will ground their program observations in the context of overall business and channel trends. ,
- Design, execute and analyze A/B and multivariate testing strategies across web and mobile applications. ,
- Ensure data quality and integrity is highlighted and maintained by the standardization of data definitions. ,
- Highlight data outliers within standard reports and dashboards and identify resolutions. ,
- Follow and make recommendations for best practices in data querying and manipulation to ensure data integrity.
Requirements
- 2+ years' experience in Pricing, Revenue Management, Marketing, or a related field ,
- 2+ years experience using Power BI ,
- Experience with SQL or other related databases with knowledge of SQL query to conduct data analysis. ,
- Technical experience developing and maintaining Predictive and Recommendation models, Algorithms using Analytical tools preferably Microsoft Azure Machine Learning platform highly preferred. ,
- User knowledge with data management, data analysis and visualization. ,
- Excellent analytical, problem solving and troubleshooting abilities with an ability to execute complex data extraction and analytical projects. ,
- Extensive data analysis experience, problem solving skills, documentation, and solution development. ,
- Experience managing projects (working along with PM's or serving as one). ,
- Advanced knowledge in Data Governance and Data Quality standards. ,
- Strong computer skills with proficiency in MS Office (Excel, PowerPoint, etc.). ,
- Experience with data cleaning, transformation, analysis, and visualization in Microsoft Excel and Power BI. ,
- Exposure to Google Analytics, Adobe Analytics, or other web tracking tools. ,
- Exposure to A/B testing concepts.
Nice-to-haves
Benefits
- medical ,
- dental ,
- STD ,
- LTD ,
- life insurance ,
- 401(k) ,
- paid time off ,
- travel benefits