Marketing Data Solutions Engineer

This role will be focused on supporting our client’s Brand Social ecosystem. The team operates as a centralized insights function, translating social, cultural, and consumer signals into actionable intelligence that informs marketing, product, and executive decision making.

This position is focused on building and scaling AI-powered automation and data infrastructure that enables the team to move from manual reporting to real-time, scalable insight generation. The role blends media data expertise, data science, engineering, and applied AI to enhance how insights are produced, distributed, and operationalized across multiple product areas.

Day-to-day Responsibilities
This is a hands-on, execution-focused role embedded within the team’s data and insights workflows. The individual will partner closely with analysts, program leadership, and cross-functional stakeholders to improve how insights are generated, scaled, and delivered.

Day-to-day, this individual will work directly within the data and tooling environment to operationalize insights, improve system efficiency, and ensure high-quality, scalable outputs. The role blends social listening expertise, data infrastructure, and applied AI—requiring someone who can both build and iterate quickly while translating complex data into meaningful, actionable insights for stakeholders. The ideal candidate will bring a strong data science mindset, applying analytical rigor, experimentation, and modeling techniques to better understand consumer behavior, cultural trends, and brand performance signals.

Additionally, they will:


• Build and maintain end-to-end social listening infrastructure, including query design, data ingestion, and processing across platforms and Google Cloud environments
• Design and evaluate experiments, measurement frameworks, and data-driven approaches that improve decision making and enhance the effectiveness of the team’s insight products
• Execute and evolve centralized monitoring frameworks that track brand, cultural, and consumer conversations across the client’s product ecosystem
• Develop and manage automated insight generation workflows, including recurring reports, dashboards, and distributed insight outputs
• Support the team’s transition to real-time and scalable reporting, reducing manual analysis and improving speed-to-insight
• Create and enhance cultural intelligence dashboards, surfacing trends, sentiment shifts, and actionable insights for stakeholders
• Apply AI/LLM tools (e.g., Gemini, Vertex AI) to accelerate summarization, signal detection, and narrative generation
• Build and refine triaging and distribution systems to ensure insights are routed to the appropriate stakeholders in a timely, actionable way
• Maintain data quality and reliability through continuous validation of queries, sources, and outputs
• Partner with analysts and stakeholders to translate complex data into clear, executive-ready narratives that inform campaign, product, and brand decisions
• Identify and implement opportunities to automate manual workflows, improving efficiency and scalability across the team
• Contribute to ongoing experimentation with new tools, models, and data sources to evolve the team’s insight-generation capabilities

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/.

• Proven experience in social listening, digital intelligence, or marketing analytics, with the ability to translate social analytics data into business and marketing insights
• Hands-on experience working with large-scale data environments (e.g., BigQuery or similar) and strong SQL skills to extract and operationalize data
• Experience building or supporting automated reporting or insight distribution systems
• Familiarity with AI/ML tools and LLMs (e.g., Gemini, Vertex AI, or similar) and applying them in real-world workflows
• Experience applying data science methodologies such as statistical analysis, predictive analytics, machine learning, classification, clustering, forecasting, or experimentation frameworks to solve business problems
• Experience with automation tools/scripts (e.g., Apps Script, JavaScript) across Google Workspace or similar ecosystems
• Strong understanding of data modeling, hypothesis testing, trend analysis, and quantitative research techniques
• Strong ability to synthesize complex data into clear, concise narratives for non-technical stakeholders
• Experience working within structured workflows or triaging systems for insight distribution
• Highly self-sufficient, systems-oriented, and focused on scalability, efficiency, and continuous improvement

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.