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Senior Staff Technical Data Analyst

Category Data Location Mountain View, California; Plano, Texas Job ID 2024-63814
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

We are looking for an experienced world-class Analytics Experience Capability lead to lead the development of platform business analytics across all Intuit Assist offerings. We have an exciting opportunity to shape analytics for GenAI, bringing together products and GenAI LLMs to make a tangible impact on customer experience. If you have an excellent understanding of data architectures and the acumen to map the business needs to technology, analytical skills, and a passion for delivering data-driven insights, join us!

Responsibilities

  • Driving data models and definitions: Creating a single source of truth for multiple analytics and AI teams to extract value from data, delivering scalable, repeatable, effective, and meeting the expectations of various stakeholders and leaders. In addition, provide ongoing recommendations to leadership utilizing complex data, business knowledge, and strategic assumptions when data doesn’t exist.
  • Identifying opportunities and influencing product development teams to act: You will partner with a cross-functional team to leverage data and technology to deliver better outcomes for customers and business partners.
  • Driving self-serve and data literacy of insights: You will create learning and measurement plans for experiments and campaigns to define instrumentation and data collection requirements. By partnering with data engineering to scale and automate analytics on new products and initiatives, you will build reports to drive discussions, facilitate decision-making, and provide actionable insights.

Qualifications

  • 8+ years of experience working with different data and analytics domains such as service operations, e-commerce marketplace, customer care, product, finance, and marketing.
  • Experience influencing at senior leadership levels and driving cross-functional teams
  • Advanced proficiency in data modeling and mapping business needs into data design and modeling.
  • Ability to simplify stories with data and be concise in the insights and how they drive outcomes with leadership and stakeholders
  • Excellent problem-solving skills and end-to-end quantitative thinking
  • Ability to manage multiple projects simultaneously to meet objectives and critical deadlines
  • Outstanding communication skills with both technical and non-technical colleagues
  • Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
  • Strong organization, time management, and task prioritization skills
  • Operate with an ownership mindset, and exhibit boundaryless leadership towards impacting outcomes.
  • Bachelor’s Degree in Computer Science, Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, a related field or equivalent work experience. Master’s Degree preferred
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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 $$211,00 - 285,500. 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). 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.

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

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