Data Analyst-SQL, Python, Visualization tool

Role: Data Analyst-SQL, Python, Visualization tool

Location: Mountain View CA (day one onsite)

Duration: 6+ Months

Job Description

Must have:

• Strong SQL
• Python
• Any Visualization Tool Tableau / Qlik sense / Power BI
  
  

Qualifications

5+ years of experience in generating and sharing insights from in-product/CRM/billing-system data.

Strong SQL with ability to handle large volumes of data.

Experience with one or more scripting languages (Python preferred, R, Scala, etc. or shell scripting).

Experience with one or more data visualization tools such as Tableau, Qlik sense, Alteryx, etc.

Fluent with Google suite (spreadsheets, documents, and slides).

Take responsibility and ownership like no other.

Entrepreneurial and curious spirit - passionate about business and data.

Able to work with technical and business stakeholders and comfortable working with a global cross-functional team.

Detail-oriented with superior project management and organizational skills. Able to navigate between multiple concurrent threads and meet deadlines.

Strong communication skills with the ability to interact with business leaders to make business recommendations.

Master's degree in mathematics, statistics, engineering or related field (preferred).

Responsibilities

Build data/analytics solutions with 'Data as a product' mindset leveraging data across all business groups within Intuit.

Build deep subject matter expertise to be able to voice the nuances of how customer experience translates from our data.

Define key business indicators and success metrics/KPIs and develop ways to track them automatically across time.

Provide guidance to Business and Tech leaders and stakeholders on how best to harness available data, extract meaning, reconcile assumptions, and identify logical path for action.

Collaborate with business stakeholders as well as with product development and data engineering teams to ensure we capture the right data to drive insights.

Proactively uncover product data gaps that will impact customers as well as lead and manage in-product fixes across product development teams to resolve these.

Leverage knowledge of data analytics principles and communication skills to develop a data driven business case needed for proposal sign off from sponsors

Ability to dissect opportunity size and determine financial benefit as well as to map out effort/ROI for developing the solution

Uses considerable expertise and independent judgment in collaborating with peers, product managers, developers, and data engineers, in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data.

Be the point of contact for investigative analytics questions supporting our business stakeholders as well as MSE PMs