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Data Analytics​/Insights Analyst; Marketing - INTL India

Job in Irvine, Orange County, California, 92713, USA
Listing for: Insight Global
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Analytics/Insights Analyst (Marketing) - INTL India

Job Description

The Marketing Data Analytics professional will support the development and delivery of advanced analytics and data‑driven insights to inform marketing strategy, customer engagement, and revenue growth. This role is hands‑on and execution‑focused, combining analytical problem solving, modeling, and close partnership with marketing and business stakeholders. The ideal candidate is comfortable working with complex data, translating insights into action, and contributing to high‑impact marketing initiatives.

Key Responsibilities
  • Partner with Marketing and related business teams to define analytical requirements, evaluate feasibility, and support data‑driven decision making
  • Analyze large, complex datasets to uncover insights related to customer behavior, campaign performance, acquisition, retention, and revenue growth
  • Build, test, and refine predictive and statistical models to support marketing use cases such as segmentation, forecasting, attribution, and personalization
  • Develop dashboards, visualizations, and reporting to communicate insights clearly to both technical and non‑technical stakeholders
  • Translate analytical findings into actionable recommendations that inform marketing strategy and execution
  • Support ongoing analytics initiatives by contributing to solution design, documentation, and continuous improvement efforts
  • Collaborate with cross‑functional teams including Data, Marketing, Sales, and Technology to ensure alignment and data accuracy
  • Apply sound analytical judgment when working with incomplete or evolving information in a fast‑paced environment

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  To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements
  • Bachelor’s degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related discipline
  • 4–7 years of experience in data analytics, data science, or marketing analytics roles
  • Strong SQL skills and experience working in modern data platforms such as GCP (Big Query required; Vertex AI a plus)
  • Proficiency with data visualization tools such as Looker, Qlik, Power BI, or similar platforms
  • Hands‑on experience using Python for data analysis and modeling (e.g., pandas, numpy, scikit‑learn)
  • Experience translating analytical insights into clear takeaways and recommendations for business partners
  • Strong communication skills and ability to collaborate effectively with cross‑functional teams
  • Ability to manage multiple priorities and adapt to changing business needs Experience supporting marketing, customer, or digital analytics use cases
  • Exposure to B2B, eCommerce, or customer lifecycle analytics
  • Familiarity with model deployment, MLOps concepts, or automated analytics workflows
  • Exposure to GenAI or experimentation with LLM‑enabled analytics is a plus
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