Overview Are you passionate about 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 dening 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 who possesses a passion for delivering data-driven insights to join Intuit’s Sales motion analytics team. What you'll bring + 7+ years of experience working with product analytics, web analytics, customer care analytics, or other customer experience analytics + Highly procient in SQL, Experimentation design and principles (A/B testing etc.) , Tableau, and Excel, Sales force. Familiarity with Product Analytics Tools (Amplitude, Mixpanel, Segment, etc.) prefered + 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 condence, motivating stakeholders to act on recommendations + Ability to inuence 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 eld. Master’s Degree preferred. Equivalent experience will be considered How you will lead + Provide guidance and thought partnership to Business leaders and stakeholders on how best to harness available data for critical business needs and goals. + Effective storytelling with data, to educate and instill condence, motivating stakeholders to act on recommendations. + Manage the full cycle of iterative big data exploration, including hypothesis setting, data cleansing, insight generation/visualization, and action planning + Design and implement the approach needed to methodically and iteratively structure, extract, analyze, validate, and communicate data-backed insights + Partner with cross-functional teams to design and build analytics and reporting tools that are instrumental to automated self-serve + Use expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts + Maintain a culture of high-quality output and growth mindset. + Respond effectively to unexpected pivots in plan and prioritize for best outcomes Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $$161,500 - 219,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits) (https://www.intuit.com/careers/benefits/full-time-employees/) . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.