Staff Business Data Analyst
vor 4 Wochen
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 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 who possesses a passion for delivering data-driven insights to join Intuit's Sales motion analytics team.
ResponsibilitiesProvide 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 confidence, 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.Respond effectively to unexpected pivots in plan and prioritize for best outcomes.Minimum Requirements7+ years of experience working with commercial, product analytics, web analytics, customer care analytics, or other customer experience analytics.Highly proficient in SQL, Experimentation design and principles (A/B testing), Tableau, and Excel, Salesforce. Familiarity with Product Analytics Tools (Amplitude, Mixpanel, Segment, etc.) preferred.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 utilize data at the leadership level.Strategic thinker with the 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 communication 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. Master's Degree preferred. Equivalent experience will be considered.
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