Overview
On Site
Full Time
Skills
Roadmaps
Product Marketing
Finance
KPI
Reporting
Data Science
Sales
Customer Analysis
Management
Leadership
Collaboration
Analytics
Artificial Intelligence
Job Details
Intuit SBSEG Data and Analytics has an exciting opportunity to be part of the fast-growing Mid-market Analytics team that plays a critical role in driving growth in Mid-market with a long-term winning strategy. Disrupt the small business mid-market is one of Intuit's 5 Big Bets initiatives.
The Mid-market Analytics team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps, (2) providing data/tools/actionable insights/experimentation for the execution of multiple Mid-market priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing.
We are looking for a Manager 3, Data Science, who is intellectually curious and extremely self-driven, with a proven track record of leading analytics support for a critical or high-growth business areas. The ideal candidate will also have a passion for building and developing a high-performing Data Science team, while demonstrating a forward-looking, strategic and extreme ownership mindset.
Responsibilities
The Mid-market Analytics team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps, (2) providing data/tools/actionable insights/experimentation for the execution of multiple Mid-market priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing.
We are looking for a Manager 3, Data Science, who is intellectually curious and extremely self-driven, with a proven track record of leading analytics support for a critical or high-growth business areas. The ideal candidate will also have a passion for building and developing a high-performing Data Science team, while demonstrating a forward-looking, strategic and extreme ownership mindset.
Responsibilities
- Build and develop a high-performing Data Science team.
- Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
- Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
- Proactive explore and identify new business opportunities to help business partners to achieve business goals.
- Communicate data and insights effectively to business partners of all levels including senior leadership team.
- Collaborate with other analytics teams and data engineers to work on cross-functional projects or develop analytics/AI capabilities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.