What are the responsibilities and job description for the Manager 2, Data Science position at Intuit?
Overview
Intuit SBSEG Data & 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 2, 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.
What you'll bring
- 5 years of experience in managing a team of 3-5 data scientists/analysts is preferred.
- Highly proficient in SQL and data visualization tools such as Tableau, Qlik.
- Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLM, etc., is highly preferred.
- Ability to create analytical framework for solving complex business problems with proven track record.
- Ability to manage multiple projects simultaneously to meet objectives.
- Ability to identify strategic opportunities.
- Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
- Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
How you will lead
- Build and develop a high-performing Data Science team.
- Influence strategic business decisions and operational decisions by conducting customer segmentation & 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.
