https://amzn.to/44P6GXZ
Overview
We are looking for a Manager of Reporting and Data Analytics seeking to work with business leaders to answer key business questions, unlock insights to drive critical business outcomes, and provide executive and operational reports. This role will include assessing requirements, source systems for data, and developing data and reporting models that meet the needs of the business.
Primary focus will be on architecture of platforms for newly acquired brands with limited existing data warehousing and reporting in place and will require partnership with the brands and the SPARC Analytics leadership to develop a strategy to enable robust brand-centric data platforms. Additionally, the role will support the central SPARC Analytics initiative by providing input, guidance, and sharing best practices while leveraging the central technology stack to ensure consistency, accuracy, and accountability of the data.
Responsibilities
• A vision for ingraining analytics into an organization’s decision-making process
• Ability to translate business needs/questions into technical requirements for a data product (e.g., daily report, ad-hoc SQL analysis, data feed)
• Experience with multiple visualization tools on the market (e.g., MicroStrategy, Tableau, Domo, Looker)
• Experience in design-and-build innovative data solutions, from discovery to delivery for clients and external stakeholders
• Ability to manage a data ecosystem including ETL, data governance, reporting and insights
• Ability to take a project from RFP/SOW/BRD to delivery: project management, requirements gathering, data architecture, workflow management, quality assurance, reporting and visualization, presentation
Qualifications
• 4+ years of applied analytics in various functions (e.g., sales, finance, marketing, product, engineering); track record of success
• 4+ years of data modeling/structuring and data governance (including clear understanding of chain of custody)
• 2+ years of data management and consulting experience
• Familiarity with cloud platforms such as AWS, GCP, and Azure to use/deploy analytics solutions
• Experience with CI/CD pipelines, Snowflake, Airflow, Git
• Strong written communication and presentation
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