Skip to main content

Senior Staff Business Data Analyst

Category Data Location Mountain View, California Job ID 2025-70039
Apply Now

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

Intuit is seeking a highly analytical and communicative Staff Business Data Analyst to join the Finance Analytics & Systems team. This role offers the opportunity to creatively solve complex business challenges and deliver impactful, company-level analytics that support effective decision-making for leadership. The ideal candidate is a technical lead with exceptional data skills who thrives in a fast-paced environment.

Responsibilities

  • Partner with teams across FP&A to understand their analytics needs and deliver end-to-end data solutions.
  • Collect and analyze data from diverse sources (databases, spreadsheets, external sources).
  • Develop and maintain data models and algorithms.
  • Apply statistical techniques to identify trends, patterns, and anomalies.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
  • Design and implement data collection systems to optimize data quality and efficiency.
  • Provide recommendations to improve data collection and analysis processes.
  • Stay current with industry trends and advancements in data analysis techniques and tools.
  • Build subject matter expertise and finance acumen.
  • Narrate complex data stories concisely, highlighting insights and their impact on business outcomes for leadership and stakeholders.
  • Manage multiple projects simultaneously to meet objectives and deadlines.

Qualifications

  • 6+ years of experience in a data analytics role.
  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field, or equivalent work experience.
  • Advanced SQL skills for data manipulation, querying, and performance tuning. Experience with Databricks and data integration.
  • Familiarity with AWS (Redshift, Athena); knowledge of Python, Javascript, and Groovy is a plus.
  • Strong communication and collaboration skills to effectively partner with colleagues across the business with varying technical expertise.
  • Strong analytical and problem-solving skills with a passion for creating efficient, maintainable, and scalable data solutions.
  • Proactive and inquisitive learner who seeks out and capitalizes on opportunities for business enhancement.
  • Ability to work effectively in a fast-paced, team-oriented environment.
  • Experience with Oracle Cloud EPM and data visualization tools (Qlik or Tableau) is a plus.
Apply Now

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 $181,000-245,000. 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). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay 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

Related Content

You haven't viewed any jobs yet. Start exploring now to find the perfect opportunity for you!

View all of our available opportunities

You haven't saved any jobs yet. Start exploring now to find the perfect opportunity for you!

View all of our available opportunities

Sign Up for Job Alerts

Be the first to find out about open jobs that fit what you're looking for.