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Technical Account Associate Cincinnati

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: Dunnhumby Ventures
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Technical Account Associate New Cincinnati

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.

We’re looking for a talented Technical Account Associate who expects more from their career. It’s a chance to work with our clients to implement our data platforms and software products and to influence global retailers.

Joining our Technical Account Management team, you’ll work with world‑class and passionate people to support data exploration assessments, fully understand client data and systems, answer data‑related inquiries from internal and client stakeholders, suggest best options for data roadmaps, resolve data issues with client data providers, and support the Client Leadership teams to ensure our solutions meet requirements.

Responsibilities

You will analyse client data and systems, query and investigate data using SQL, participate in data road‑mapping discussions, resolve data issues, and collaborate closely with both internal teams and external stakeholders to deliver robust data solutions.

Qualifications
  • Degree or equivalent in Information Systems, Computer Science or a related field.
  • Experience communicating and dealing with clients on a regular basis.
  • Experience with open‑source distributed data platforms.
  • Knowledge of modern and traditional data warehousing and data processing technologies.
  • Experience with data engineering concepts and technologies.
  • Ability to query and investigate data in any flavor of SQL.
  • Experience using AI tools to improve productivity, streamline workflows, and support analysis and client solutions is a plus.
Benefits & Working Flexibility

We offer a comprehensive rewards package and a degree of personal flexibility, including flexible working hours and a birthday off. You will also benefit from an investment in cutting‑edge technology and a nimble, small‑business environment that encourages experimentation and learning.

We are committed to diversity and inclusion, providing a supportive workplace culture and multiple employee network groups. Our inclusive approach extends to flexible working arrangements, allowing you to balance a successful career with your personal commitments and interests.

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Position Requirements
10+ Years work experience
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