Overview Come join Intuit as a Business Intelligence Analyst What you'll bring · 5-8 years of experience working in product, customer or other related analytics fields. Undergrad Degree in Quantitative Field (Masters preferred), or equivalent experience · Highly proficient in SQL, Tableau, Qliksense and Excel. · Strong eye for data visualization and design · Excels at organizing and tracking work, and mobilizing others to contribute to a shared vision · Strong business acumen able to identify and articulate what the key business reporting needs are and create a plan that builds confidence with stakeholders · Ability to tell stories with data, educates effectively, and instills confidence in recommendations, motivating others to act on them · Ability to manage multiple projects simultaneously to meet objectives and deadlines. · Outstanding communications skills with both technical and non-technical colleagues. · Strong organizational skills, time management, portfolio prioritization experience, and accountability required. · Attention to detail and bias to action: pursue data quality, troubleshoot data validation, and see issues to resolution How you will lead · In this role you will be executing our self-serve data vision by creating dashboards for the Quickbooks ecosystem of products for a wide set of users including executives, marketing leaders, product managers, and data analysts. · Identify opportunities to advance our reporting abilities in SBSEG including delivering new insights, improving data integrity, and reducing the maintenance burden for analysts · Create and document our SBSEG business intelligence strategy, principles, and roadmap, and mobilize outside teams to realize this vision · Partner with analytics leaders to identify key business questions to answer through data to inform our team roadmap · Provide key input to our data engineering teams as they build new data marts to advance our reporting abilities · Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings