Manager, Data Strategy Business Intelligence
Bevi, United States
Job Description
Bevi is on a mission to disrupt the beverage supply chain and replace single-use water bottles with smart water machines. Thousands of companies use Bevi to sustainably provide their employees with pure, sparkling, and flavored water at work. As the market leader in IoT-enabled beverage machines, we’ve raised over $60M in venture capital and we’re doubling year over year. In addition to maintaining hypergrowth with our current product line, Bevi is heavily investing in new product development.
We are seeking a Data Strategy amp; Business Intelligence Manager to help define and stabilize the data model for the company’s wealth of data. This is a key position reporting directly to the Director of Enterprise Applications, working to define and maintain Bevi’s organizational data management practices and centralized reporting strategy. This role will be responsible for driving Bevi’s Business Intelligence tool development and taking ownership of the organizational data model, positioning the company for rapid scalability and enabling data-driven decisions across all business units.
The purpose of this role will be to automate data collection from all business systems and to develop an efficient and intuitive organizational data model to minimize manual one-off, ad-hoc analyses, and instead focus on building the foundations for making proactive business decisions. Our goal is to be able to make observations and recommendations to all Bevi business units with confidence and regularity.
What you will do:
- Build reports and develop dashboards to monitor end-to-end business operations, including Order Management, Customer Support, Supply Chain, Sales, and Product Performance utilizing Business Intelligence (Looker) and Integration tools and Excel
- Work with leadership team to clearly define and document reporting requirements and KPI’s to enable data-driven decisions
- Manage data connections to multiple business systems (Zendesk, Salesforce, Handshake, NetSuite) leveraging APIs and iPaaS platforms; monitor data quality, accuracy, and consistency; simplify and automate data extraction, transformation, and load activities wherever possible
- Write SQL queries to manipulate data and power reports spanning across multiple data sets and dimensions
- Develop and maintain a data model across all systems within Data Warehouse (Snowflake) that can support measures and variables necessary for downstream analysis; to be considered central source of data for all business reporting needs
- Construct, communicate, and execute an organization-wide data cleansing action plan
- Contribute to ongoing NetSuite implementation, preparing data and managing migration activities for item, inventory, order, financial and master data
- Be scrappy and practical, and function in an environment where there’s never enough data, and where it’s never clean enough; be capable of combining quantitative analysis with qualitative insights to make good decisions even when quantitative data is lacking
How you will grow:
- Engage with talented and growing Enterprise Applications and Leadership teams drawn from diverse sectors, and mentor and coach junior team members in their career journeys
- Learn cross-functionally from Supply Chain, Service, Sales, Marketing, Finance, and Order Management teams, and work at the heart of a start-up in high-growth mode
- Deploy your energy and expertise to further the company's mission of sustainability, wellness, and positive personal and environmental change
- Gain valuable, hands-on experience with cutting edge data management and business intelligence platform
Requirements
We think you will bring:
- A Bachelor’s degree in computer science or related field
- 3+ years of relevant experience and proven track record of success in data management and leading reporting and business insight initiatives
- A high-level of emotional intelligence, and an ability to work with and influence a diverse set of internal stakeholders within fast moving start-up culture
- Advanced knowledge of SQL
- Experience with modern BI tools (Looker, Tableau, Domo, Qlik, etc.)
- Experience with iPaaS platforms (Workato, Dell Boomi, integrator.io, JitterBit, etc.) a plus
- Adept at displaying complex quantitative information in a clean and intuitive format to business users
- Intermediate programming skills (Python preferred) a plus
- Experience with Looker and LookML a plus
- An ability to understand business process and requirements and translate them into actionable and reportable metrics
- An ability to cleanse and link complicated and disparate data sets from multiple sources
- Experience with Zendesk, Salesforce, and / or NetSuite a plus
- Effective verbal and written communication skills
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