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 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 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 (BigQuery 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
Nice to Have Skills & Experience
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
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.