As a Data Solutions Technical Associate, you turn large-scale consumer data into actionable audience strategies that power sales and client success. You'll work across cloud-based datasets with SQL and Python, visualize findings, and package insights into clear, business-ready stories for technical and non-technical listeners. In partnership with teams across Acxiom, you'll help prospects and clients alike to unify, enrich, and leverage their data in the smartest ways possible.
• Data Interpretation & Storytelling: Translate raw data and identity outputs into clear narratives and action-oriented recommendations for both technical and non-technical audiences.
• Data & Acxiom Expertise: Apply deep knowledge of Acxiom products, data, and identity solutions to craft tailored proposals and guide clients toward high-impact outcomes.
• Cloud Analytics & Visualization: Confidently use cloud environments and internal tools for data exploration, visualization, and analytics that support decision-making.
• Cross-Functional Facilitation: Work with Sales, Analytics, Product, and Client teams to help drive cohesive, client-ready solutions.
• Client-Centric Communication: Combine a service mindset with superior written, verbal, and presentation skills to "tell the story" and build trust.
• Strategic & Innovative Mindset: Align day-to-day work with broader Acxiom/IPG objectives while proactively identifying process improvements and new solution opportunities.
• Continuous Learning & Market Intelligence: Stay ahead of consumer-data, direct-marketing, and privacy trends—sharing insights that elevate both client strategy and internal expertise.
• Use tools such as SQL and Python to explore, join, and profile large consumer datasets, answering client questions with clear evidence.
• Translate findings into concise dashboards, visuals, and slide decks that connect data insights to business KPIs.
• Build lightweight prototypes or demo datasets to showcase identity, enrichment, and activation capabilities; iterate quickly with stakeholder feedback.
• Convert client needs into technical requirements and coordinate with Sales, Product, and Analytics teams to shape end-to-end data solutions.
• Create reusable code snippets, query templates, and automation that shorten future pre-sales cycles.
• Feed performance benchmarks and client feedback to Product teams to guide new features or data enhancements.
• Contribute to internal playbooks and training that elevate technical proficiency across Sales and Client-Success teams.
• Stay ahead of new data-engineering tools, programming languages, AI/ML techniques, cloud-platform features, privacy regulations, and audience-marketing trends.
• 3+ years working with consumer data with a focus on marketing application and usage.
• SQL expertise and Python proficiency.
• Experience working with large consumer data sets in cloud environments (AWS, GCP, Snowflake, Databricks, etc).
• Strong product management capabilities.
• Knowledge of consumer data and identity landscape in the United States.
• Understanding of direct marketing principles, digital media applications, and industry trends.
• Excellent communication and presentation abilities.
• Strategic mindset with strong analytical, problem solving and critical thinking skills.
• Ability to work both solo and in team setting to achieve client and organizational goals.
• Detail-oriented approach, with a focus on delivering high-quality solutions to complex challenges.
• Strong working knowledge Office365, AI tools, data visualization tools.
• Ability to travel.