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 HR@insightglobal.com.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/.
Required Skills & Experience
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
Nice to Have Skills & Experience
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
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.