Business Data Analyst-Service Analytics

Company: Intuit

Location: Mountain View, CA 94043, United States

Posted on: September 23

Indeed's salary guide

  • Not provided by employer
  • $71.9K - $91.1K a year is Indeed's estimated salary for this role in Mountain View, CA.



Do you have a passion for making huge business impacts by leveraging data-driven insights? Do you love working collaboratively in an innovative environment? Would you love to make an impact on our customers lives? Come join Intuit where you can grow your career and be empowered to do the best work of your life!

We are looking for a hands-on Business Data Analyst who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside product managers, marketers, and others to grow our business at Intuit. We are an exciting, growing, and fun team that works with industry-leading analytics tools, techniques and best practices.

What you'll bring


  • 1-3 years of experience in generating and presenting data insights from marketing, web, product, or other related analytics fields; experience in advanced analytics and optimization a plus
  • Experience with customer behavioral analytics and or marketing analytics
  • SQL skills to perform data segmentation and aggregation from scratch; experience working with granular web clickstream data and behavior tracking tools
  • Domain experience in subjects such as experimental design and Multivariate/A-B testing is a plus
  • Knowledge of programming languages and stats packages (e.g. Python, R); experience in developing and deploying machine learning models preferred.
  • Strong communication skills with the ability to influence decision makers and build consensus with teams
  • Bachelor degree in Business, Engineering, Math, Statistics, Finance, Economics, or a related field or equivalent experience. MBA or graduate degree in a related field is a plus.

How you will lead


  • Driving business strategy: you will be partnering closely with different business units, developing internal and external data sources to be used in propensity modeling and predictive analytics. Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to improve and communicate the necessary information to key partners
  • Identify opportunities and influence partners to act: Provide insights to the leadership team on impact of strategic initiatives on the key metrics. You will be supporting complex analytical initiatives, developing tracking, combining data from multiple sources to extract meaning, reconcile assumptions, and identify logical paths for action. Partner with leadership to prioritize areas of opportunity to drive growth
  • Driving self-serve and data literacy: democratize data by building and socializing decision tools (dashboards, reports); build key data sets/pipelines to empower operational and exploratory analysis. Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools

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