Product Analyst

Insight Global; San Jose (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Insight Global is seeking a Data Scientist for its Data Science & Analytics team in San Jose. You’ll turn product data into actionable insights, build dashboards, and partner with Product to influence decisions across the Integrated Experiences platform.

A strong analytics foundation and experience with product teams are essential. You will handle large datasets, apply statistical methods, and communicate findings clearly to product partners.

Qualifications

• Bachelor’s degree in a quantitative field (Math, CS, MIS, or Economics) and 3+ years in analytics or data science; a Master’s degree is a plus.
• Advanced proficiency in SQL and BI/visualization tools (Tableau or Looker).
• Hands-on experience with DBT for production-grade analytical models, tests, docs, and Git workflows.
• Experience applying analytical techniques (descriptive analytics, cohort analysis, A/B testing) to drive product decisions.
• Strong communication and data storytelling skills to translate questions into structured analyses.

Skills

SQL

Data storytelling

Analytics & AB testing

Product analytics

Statistical analysis

IAM/Security domain knowledge

FinTech experience

Data-driven decisions

Education

Bachelor’s degree in quantitative field

Master’s degree is a plus

Tools

DBT

Tableau

Looker

Job description

Job Description

As part of the Data Science & Analytics team, you’ll turn rich product data into insights that power smarter decisions across our Integrated Experiences platform, the shared foundation that powers navigation, identity, digital assistance, and cross‑product workflows across every product line. In this role, you’ll partner closely with Product & other cross‑functional teams to support key product initiatives with robust metrics strategy, analytical frameworks, and actionable deep dives. You’ll work hands‑on with large, complex datasets to answer critical product questions, quantify opportunities, and measure the impact of features tied to our platform priorities.

The ideal candidate has a strong foundation in data analysis, experience working with product teams, and a proactive mindset for uncovering opportunities through data. This person should be comfortable working with large datasets, building dashboards, and influencing decisions through thoughtful analysis.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail]. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Bachelor’s degree in a quantitative field (Math, CS, MIS, or Economics) and 3+ years of experience in analytics or data science; a Master’s degree is a plus.
• A solid analytical foundation, with experience working in a quantitative discipline (such as analytics, data science, business intelligence or a related field) or equivalent practical experience.
• Advanced proficiency in SQL & business intelligence/visualization tools, i.e., Tableau or Looker.
• Hands‑on experience with DBT for building & maintaining production‑grade analytical models, including tests, documentation & Git‑based workflows.
• Experience applying analytical and statistical techniques (such as descriptive analytics, cohort analysis, and A/B testing) to answer product or business questions and drive decision‑making.
• Strong communication and data storytelling skills, with the ability to translate ambiguous stakeholder questions into structured analyses and distill complex results into clear, compelling insights for product partners.
• A collaborative, growth‑minded approach, with a bias toward learning, iterating, and experience supporting Identity and Access Management (IAM), Authentication, Authorization, or Security‑related products.
• FinTech industry experience.
• Familiarity with product analytics methodologies, experimentation, and KPI development.
• Knowledge of data modeling and data warehousing concepts.