BI and Growth Analytics Manager

at  InvestSky

ABOUT INVESTSKY

We’re on a mission to make investing accessible to all.
Our goal is to offer an all-in-one investing solution.
With InvestSky, people no longer have to get lost in multiple apps, drown in fragmented communities across social media in search of investment insights, or pay high fees to make an investment.
InvestSky offers an all-in-one solution to a more efficient and enjoyable investing journey for the MENA investors, both new and experienced ones.
With InvestSky, you can:
Mingle: get social, meet like-minded folk, follow friends, exchange ideas
Discover: build your knowledge and understand the market with our advanced tools to gain insights
Create: buy your favorite stocks and build your portfolio

REQUIRED EXPERIENCE

• Experience with business intelligence and visualization tools creating dashboards.
• Strong analytical skills and a passion to work with large sets of data.
• Passionate about learning new technologies and working on a massive scale and impact product.
• Ability to write SQL queries against large amounts of data.
• Hands-on experience running regression analysis
• Broad experience working with multiple business functions on analytics work (e.g. growth, product, finance, compliance, revenue-ops etc)

• Develops and tests BI solutions such as queries, views, reports, data marts, and semantic layers and contributes to the company’s data warehouse solution by utilizing engineering best practices and various reporting tools.
• Present appropriate analysis and commentary to technical and non-technical audiences and provide concrete data-driven insights.
• Run regular data integrity audits and document new and existing models, solutions, and implementations.
• Implement data structures using best practices in data modeling, processes, and technologies.
• Use modern tools to apply required transformations, enrichments, and data derivations to improve customer service relationships and assist in customer retention, and drive growth.
• Act as the first point of contact to answer all business data queries.
• Determine which customers to target for marketing campaigns using techniques like conduct analysis (scoring, segmentation, predictive model).
• Build analytic reporting foundation for leveraging and extending Attribution Models, Customer Lifetime Value, Cohort Analysis, Churn Analysis, RFM segmentation, Funnel Analysis, and Churn Prevention.