Data Warehousing Manager jobs in South Dakota

About the team

The Careem Analytics team’s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them. As part of this team, you will be a core team member fulfilling this mission. You will be working alongside the top analyst talent of the region, leveraging modern analysis and visualization tools to solve the region’s day to day problems.

What you'll do

• Ability to build a solid understanding of our business and work cross-functionally with internal stakeholders to deliver successful deal that create value
• Be the custodian of the key business metrics and analyses that powers business decisions
• Ability to work in fast-paced environments and adapt as necessary
•  Structure the analyses needed to answer key business questions, work with analysts to perform analyses and derive insights
• Translate data into insights in clear, concise and actionable presentations/reports to guide business decision and present to grocery leadership team
• Drive business growth through actionable insights
• Optimize & automate dashboards and reports to serve day-to-day data and analytics requests 
• Create new data platforms where needed to unlock new types of insights

What you'll need

Successful candidates will have a passionate commitment to improving the lives of people, an insane focus on excellence and customer centricity, and a strong alignment with our core values and purpose. 

An enthusiastic and driven professional who is excited about understanding the business context and nuances, translating business asks to analytics requests, lead the analysis and derive business insights.

• 3-4 years of work experience in analytics roles in a high-growth tech startup or similar data-heavy, product environments with at least 1 year of management & leadership experience 
• Familiarity with data science methodologies, including regression analysis, clustering, and classification
• Proficient in statistical analyses, SQL, Python scripting, and Visualization skills
• Strong presentation skills and an ability to communicate complex findings to various audiences in a clear manner both written and verbally
• An excellent communicator with any audience with stellar stakeholder management – You can easily explain complex concepts to people of any level
• Grittiness. You never hesitate to roll up your sleeves and address something hands-on, you persevere when others fall away