Business Intelligence Analyst
Description As a member of Skip’s Business Intelligence team, you will be responsible for supporting business intelligence initiatives across the organization. You will be a go-to person when it comes to data in the organization, and will prioritize Business Intelligence work for the development team. What you’ll be doing: Collect, transform, and analyze data to derive insights for company managers. Act as intermediary between operations and business teams and the technical “data” development team. Work with internal stakeholders and tech teams to develop key metrics and reports to improve the performance of the business. Leverage data and visualization tools including SQL, Excel, and Tableau, among others to present actionable insights. Support cross-functional teams (customer, restaurant, courier) with ad-hoc data requests. People we’re looking for: 2+ years experience in a management reporting, business intelligence, or analytics role. Strong analytical skills with experience handling large datasets with detail. Ability to distill and communicate insights from data. Have a great attitude and a proven self-starter. Strong interpersonal skills. Demonstrated ability in understanding technical systems. Critical thinking, and knowing what, when, and how data is reported is essential. Experience in SQL, Excel, Tableau and/or other business intelligence tools would be considered an asset. A combination of BI, computer science, or engineering experience would be ideal. Have a strong sense of urgency and commitment to the business. Thrive in a rapidly changing environment. What it’s like to work at Skip: Fast paced entrepreneurial environment. Casual dress attire, we focus on results, not wearing suits. Exposure to leading-edge technology. Advancement opportunities for high contributors.
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Avis important : Cette offre d’emploi a été soumise directement par l’employeur à l’aide du système de publication d’offres d’emploi de Destination Canada forum mobilité. Le Gouvernement du Canada a pris des mesures supplémentaires afin d’en vérifier l’exactitude et la fiabilité mais ne peut en garantir l’authenticité.