Data Analyst, Reveleer

• At least 2 years of related experience with data analysis projects
• Data visualization skills (e.g., Crystal, Tableau, Excel)
• Strong knowledge of Excel (e.g. pivot tables, vlookups, visualization, PowerBI)
• Ability to build trust and communicate insights effectively with a variety of business stakeholders across analytical levels
• Comfort working in an Agile, technology driven environment – working closely with Product Owners and larger Engineering team
• Desire to be a partner to business stakeholders with a shared goal on using analytics and insights to drive the business forward
• Given context, you're capable of self-direction and enthusiastic about owning your work
• You deliver results quickly with iteration, instead of waiting for perfection

Desirable

• As a Data Analyst, your primary responsibility will be to work with stakeholders across business functions including growth, marketing, business development, finance, and operations to build analytics products that enable data-driven decision making
• You will guide analytics projects from discovery to solution and help us raise the bar for how we should apply our data to business decisions
• On the analytics team, you will work with two developers who will assist you in accessing the data you need
• Your role on this team is to take the data sets provided, use our Looker platform, and provide analysis according to internal and external customers’ needs and requests
• Answer questions, provide ad hoc analysis, monitor enterprise level dashboards, and provide insight for business users to improve outcomes
• Most of your data manipulations will happen in our BI tool, Looker, but at times you will need to use Excel to provide shareable insights
• You will also determine the best ways to automate satisfying business needs, using scheduled reports, emails, and dashboards to streamline delivery of analysis to the stakeholders
• Complete analysis projects with business stakeholders to monitor the health of the business and help the business make data-driven strategic and operational decisions
• Develop and own business intelligence dashboards to provide ongoing tracking and insights to business partners
• Build and improve advanced analytical models, such as our fit algorithm and inventory forecasting
• Collaborate with data engineering to improve data architecture and maintain a robust and accurate data warehouse
• Discover ways to use analytics to support team members across the business to yield action through data-driven decision making
• Provide user assistance and direction for ad-hoc data reporting