Senior Business Insights Analyst and AI Coach

Summary

AI and LLM models are changing workflows everywhere, but the requirements of data analysis mean these new tools need to be adapted and thoughtfully applied to data-specific work. This position will blend the qualifications and responsibilities of a senior data analyst with the ability to coach other data professionals how to appropriately take advantage of LLMs in a code-first approach to their work. They will build a pilot program that makes it possible for non-coders to become data professionals who take full advantage of cloud-based data sources (e.g. Snowflake), powerful coding tools (e.g. SQL, R, Python, Git), and LLMs.

This role will be analogous to a “player coach.” In addition to having a passion for helping others transition to a code-first and LLM-enabled approach to their jobs, this role will also have responsibility for their own analysis and actionable insights. This person will take on a broad range of projects and subject matter. The analysis will often involve complex and uncurated data sets. The research will often cross departments and require a broad background in SaaS company operations. This will mean wrangling data, modeling and visualizing those data, and communicating findings and recommendations back to stakeholders.

Job Description

Qualifications

• Exceptional analytical, technical, presentation, and teaching skills.

• Curious, collegial, collaborative, meticulous, and influential.

• 7+ years of experience producing transparent, reproducible and impactful analysis.

• Proficient in SQL and other analytical languages such as R and Python.

• Formal training and real-world experience using statistical analysis.

• Expertise effectively using cloud-based Git (GitHub or GitLab) for collaboration

• Expertise measuring product adoption and AWS Cost and Usage data a plus

• Experience using Posit tools such as Positron (aka RStudio), Workbench, and Connect a plus

• Reports to Senior Director of Business Insights

• Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

Responsibilities

• Teach other data professionals how to transition to a code-first and LLM-enabled approach to their current responsibilities

• Own their own research from beginning to end:  

  • partner with stakeholders to articulate information needs and hypotheses

  • write code to wrangle, model, and visualize data

  • present findings and recommendations back to stakeholders.

• Collaborate across the business to improve processes, systems, and data quality.

• At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

The US base salary range for this full-time position is $114,000 - $170,000 . Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com