Intuit
Senior Technical Data Analyst
Intuit, Mountain View, California, us, 94039
Overview
Intuit’s Global Business Solutions Group (GBSG), a global team serving the needs of over 2 million small businesses and self-employed. Our vision is to be the connected E2E platform that small and medium-sized businesses rely on every day to run and grow their businesses delivering for our customers: double their revenue and double profitability.
The Sales Capabilities Analytics team drives user and revenue growth using sales analytics, customer analytics and sales channel optimization for the Small Business Group. We are an exciting, growing, and fun team that works with industry-leading analytics tools, techniques, and best practices.
Sales Capabilities Analytics group is looking to expand its capabilities in machine learning and data analytics realm to work closely with analysts, engineers, and sales leaders.
What you'll bring
Bachelor’s degree in Information Systems, or Computer Science, Engineering, Applied Math or equivalent work experience. Master’s preferredExperience 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-learnTechnical proficiency in SQL, Databrick, Tableau, and QliksenseSolid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiencesCan-do attitude, hands-on approach, passionate about data
How you will lead
Solve for sales and finance leaders’ critical data needs in partnership with data engineering and sales techApply data mining, LLM, and machine learning (both supervised and unsupervised) to build speech analytics and propensity models that can improve sales funnel and agent performancePartner with cross-functional teams to design and build analytics and reporting tools that automate self-serve insights generation and improve experimentation/channel measurement frameworksExcellent storytelling with data, to educate and instill confidence, motivating stakeholders to act on recommendations.Proactively discovering new data sources, improving existing data sources and finding areas of opportunity to optimize business performance. You need to be willing and able to do your own ETL and build data pipelinesAbility to work independently side-by-side with sales team, data engineering, finance, sales operations and sales tech on a regular basis
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Intuit’s Global Business Solutions Group (GBSG), a global team serving the needs of over 2 million small businesses and self-employed. Our vision is to be the connected E2E platform that small and medium-sized businesses rely on every day to run and grow their businesses delivering for our customers: double their revenue and double profitability.
The Sales Capabilities Analytics team drives user and revenue growth using sales analytics, customer analytics and sales channel optimization for the Small Business Group. We are an exciting, growing, and fun team that works with industry-leading analytics tools, techniques, and best practices.
Sales Capabilities Analytics group is looking to expand its capabilities in machine learning and data analytics realm to work closely with analysts, engineers, and sales leaders.
What you'll bring
Bachelor’s degree in Information Systems, or Computer Science, Engineering, Applied Math or equivalent work experience. Master’s preferredExperience 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-learnTechnical proficiency in SQL, Databrick, Tableau, and QliksenseSolid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiencesCan-do attitude, hands-on approach, passionate about data
How you will lead
Solve for sales and finance leaders’ critical data needs in partnership with data engineering and sales techApply data mining, LLM, and machine learning (both supervised and unsupervised) to build speech analytics and propensity models that can improve sales funnel and agent performancePartner with cross-functional teams to design and build analytics and reporting tools that automate self-serve insights generation and improve experimentation/channel measurement frameworksExcellent storytelling with data, to educate and instill confidence, motivating stakeholders to act on recommendations.Proactively discovering new data sources, improving existing data sources and finding areas of opportunity to optimize business performance. You need to be willing and able to do your own ETL and build data pipelinesAbility to work independently side-by-side with sales team, data engineering, finance, sales operations and sales tech on a regular basis
#J-18808-Ljbffr