Senior Business Data Analyst

Job Overview

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’ll be empowered to do the best work of your life! 

We have an exciting opportunity that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills; someone who is an independent self-starter with experience in product conversion, engagement, and retention, and possesses a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence.

Responsibilities

• Driving business strategy: You will provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist. You will be critical to decision-making.
• Identifying opportunities and influencing partners to act: You will partner with Product  and Customer Support leaders to provide key customer insights and influence strategic decisions.  You will collaborate with stakeholders and analysts to ensure reporting solutions are scalable, repeatable, effective, and meet expectations of various leaders.
• Driving self-serve and data literacy: You will define, implement and standardize metrics, reports and dashboards. You will pursue data quality, troubleshoot data validation, and see issues to resolution. In addition, you will collaborate with Data Engineering in building innovative data capture and real-time analytic capabilities needed by the business.

Qualifications

• 3+ years of experience working with product analytics, web analytics, customer care analytics, or other customer experience analytics
• Highly proficient in SQL, A/B Testing, Tableau, and Excel. Familiarity with Product Analytics Tools (Amplitude, Mixpanel, Segment, etc.)
• Experience in programming languages and stats packages (e.g. Python, R); experience in developing and deploying machine learning models preferred.
• Experience in driving end to end measurement frameworks
• Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
• Ability to influence business decisions and utilizing data at the leadership level
• Strategic thinker with ability to provide solutions for business problems
• Excellent problem-solving skills and end-to-end quantitative thinking
• Ability to manage multiple projects simultaneously to meet objectives and key deadlines
• Outstanding communications skills with both technical and non-technical leaders and colleagues
• Proactive and inquisitive learner seeks out and capitalizes on opportunities for change that solve for our customers, rather than reacting to circumstances
• Strong organization, time management and task prioritization skills
• Bachelor’s Degree in Statistics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field; equivalent experience will be considered. Master’s Degree preferred.