BICP · 3 days ago
Senior Data Analytics Manager
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Responsibilities
Collaborate on the development and execution of reporting and analytics products across a focused area of the business value stream to enable data-driven business decisions that will drive performance and accomplish annual goals
Translate sophisticated business problem statements into analysis requirements, and work with internal customers to define data product details based on expressed partner needs
Document systems/analytics solutions to the business, translating complex functionality into business-relevant language
Independently support end-to-end analysis to inform product strategy, data architecture, and reporting decisions
Drive the solving of sophisticated data problems using analytical and statistical rigor
Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs
Thoroughly document business requirements, data architecture solutions, business processes, and training material for business and technical audiences
Develop frameworks for repeatable validation of data integrity within back-end data assets and data products, supporting accurate and consistent results
Discuss the data products with end users through user training to help drive adoption
Monitor and solve operational or data issues in the data pipelines
Qualification
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Required
Bachelor's degree in Business, Finance, Economics, Marketing, Computer Science or a combination of relevant education, experience, and training
4+ years of relevant work experience in omnichannel/digital commerce, reporting and analytics, or supply chain
Experience working directly with business partners to form a deep understanding of their business needs and partnering cross-functionally to develop solutions for broad use
Experience with all steps of the analytic process from requirements gathering, solution design, QA, debugging, and documentation. Experience in data profiling, data quality, and root cause analysis
Experience translating business objectives and questions into data architecture, critical metrics, and reporting requirements
Prior experience with data architecture, defining and maintaining data assets, and developing data architecture strategies to support reporting and data visualization tools
Ability to communicate analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form
Strong proficiency in SQL or similar programs
Proficiency with cloud environments such as Snowflake, Microsoft Azure, Google Cloud, and AWS
Working understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and how they’re applied in the workplace
Preferred
Prior data visualization experience in tools such as Tableau, PowerBI, Python/R libraries, or similar tools
Any experience with AWS, S3, Databricks, Snowflake, PySpark is preferred