Senior Technical Data Analyst

$138,500 - $187,000/Yr

Intuit - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

10,001+ employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Intuit's Global Business Solutions Group (GBSG) is seeking a Senior Technical Data Analyst to join our dynamic Sales Capabilities Analytics team. This team is dedicated to driving user and revenue growth through advanced sales analytics, customer analytics, and sales channel optimization for the Small Business Group. Our vision is to create a connected end-to-end platform that small and medium-sized businesses can rely on daily to run and grow their operations, ultimately doubling their revenue and profitability. As part of this exciting and growing team, you will work with industry-leading analytics tools, techniques, and best practices to enhance our capabilities in machine learning and data analytics. In this role, you will be responsible for addressing the critical data needs of sales and finance leaders by collaborating closely with data engineering and sales technology teams. You will leverage your expertise in data mining algorithms and statistical modeling techniques, including clustering, classification, regression, decision trees, neural networks, and natural language processing (NLP), to build advanced analytics models. Your work will focus on developing speech analytics and propensity models that can significantly improve sales funnel efficiency and agent performance. Additionally, you will partner with cross-functional teams to design and build analytics and reporting tools that automate the generation of self-serve insights and enhance experimentation and channel measurement frameworks. Your ability to tell compelling stories with data will be crucial in educating stakeholders and instilling confidence in your recommendations, motivating them to take action. You will also proactively discover new data sources, improve existing ones, and identify opportunities to optimize business performance. This role requires a hands-on approach, as you will need to perform your own ETL processes and build data pipelines while working independently alongside sales teams, data engineering, finance, sales operations, and sales technology.

Responsibilities

• Solve for sales and finance leaders' critical data needs in partnership with data engineering and sales tech.
• Utilize data mining, LLM, and machine learning (both supervised and unsupervised) to build speech analytics and propensity models that can improve sales funnel and agent performance.
• Partner with cross-functional teams to design and build analytics and reporting tools that automate self-serve insights generation and improve experimentation/channel measurement frameworks.
• Create excellent storytelling with data to educate and instill confidence, motivating stakeholders to act on recommendations.
• Proactively discover new data sources, improve existing data sources, and find areas of opportunity to optimize business performance.
• Perform your own ETL and build data pipelines as needed.
• Work independently side-by-side with sales team, data engineering, finance, sales operations, and sales tech on a regular basis.

Requirements

• Bachelor's degree in Information Systems, Computer Science, Engineering, Applied Math, or equivalent work experience; Master's preferred.
• Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, NLP text mining, and LLM.
• Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
• Technical proficiency in SQL, Databrick, Tableau, and Qliksense.
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
• Can-do attitude, hands-on approach, and passion for data.