Sales Advancement - Data Solutions Technical Associate (remote)

Data Solutions Technical Associate

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. This role can be located almost anywhere in the U.S.

What You Will Do:

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.

Client Engagement & Solutions Development:

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.

Strategic Alignment:

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.

Continuous Education:

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.

What You Will Have:

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 of Office365, AI tools, data visualization tools. Ability to travel.