Senior Business Analyst

Contenu de l'offre Senior Business Analyst chez Intuit

Paris (75)

Overview

Intuit is the global leader in financial management software. We are pioneering the shift to cloud computing for consumers, small businesses and those that serve them. We are rethinking how to power prosperity around the world. This means dramatically rethinking how we can enable small businesses to run their businesses with confidence, and save time by using both our cloud solutions and our app partners.
The Data Analytics & Science team drives user growth and retention using product insights and marketing channel optimization for the Small Business Group. We are an exciting, growing and fun team that works with industry-leading analytics tools, techniques and best practices.
As a Senior Analyst, you will dive deep into our data to uncover actionable insights and make recommendations that will influence the company’s strategic decisions. The ideal candidate will have a strong background in quantitative analysis using large data sets, and in data-driven decision making.

Responsibilities

Partner with Product Management and Marketing by providing actionable insights from data to deliver awesome product experiences for QuickBooks customers Proactively perform data exploration on user behavior to discover opportunities for designing personalization algorithms. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with the product Use Hypothesis-driven approach to drive setup and analysis of A/B tests and provide recommendations based on the test performance Create dashboards to understand early user engagement and proactively come up with ideas to improve product experience Communicate analytical findings and recommendations in a clear and concise way to non-technical audiences, both in oral and written presentations

Qualifications

BS or MS degree in a quantitative field 5+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact Advanced SQL skills and proficiency in visualization tools such as Tableau Experience with Python, Hive and Spark Exceptional analytical skills and strong business acumen Outstanding communication skills with the ability to influence decision makers and build consensus with teams Proficient in accessing data from various sources (such as relational databases, distributed data sources and third party data capture tools) Background in machine learning methods and experience in implementing and extending ML algorithms will be considered a plus