מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Intuit Staff Business Data Analyst Kenya, Nairobi County, Nairobi 454453323
27.03.2025
Responsibilities
- Explore new opportunities to grow the business through analyses spanning unit economics, market dynamics, product migration, cross-selling, product growth levers, price/spend optimization, etc.
- Perform end-to-end analytics using advanced SQL to extract business insights that drive tangible value for our customers and result in business growth.
- Leverage data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self-service analytics.
- Leverage product and revenue data to inform decisions while clearly articulating key assumptions.
- Disseminate business insights to cross-functional stakeholders and influence decision-making.
Qualifications
- 6+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact.
- Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch.
- Understanding of statistics with regards to experimentation and regression.
- Passion for uncovering strategic opportunities and solving business problems.
- Proficiency in visualization tools such as Tableau or Qlik Sense.
- Excellent presentation and data storytelling. Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
- Experience with modern advanced analytical tools and programming languages such as Python, R, or some other scripting language.
- Working knowledge of Consumer Finance platforms’ (e.g., TurboTax) data and business model.
- High-level understanding of advanced statistical modeling techniques such as clustering, classification, regression, decision trees, random forest. Building such models is not a focus of this particular role. Comfort with these tools and concepts will be useful to solve particular problems or evaluate the performance of pre-built models.
- Understanding forecasting processes, financial reporting, time value of money, and other financial concepts.
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