Data Analytics Manager (m/w/d)

About Us

Retailing steaks, prepared meats, and meat-inspired products has been the foundation of this organisation's business since 1917.

Headquartered in Omaha, Nebraska, our client serves customers through a recognised food retail operation that depends on effective digital experiences, dependable customer information, and informed commercial decisions.

Its analytics environment supports the measurement of customer behaviour, the improvement of digital performance, and the continued development of data-led retail capabilities.

Operating across grocery and wider retail markets, this organisation combines a long-established product heritage with the need to evolve its technology and insight infrastructure.

The Data Analytics Manager will contribute to that evolution by strengthening the systems and processes that turn digital activity into accurate, actionable information.

Job Description

The Data Analytics Manager will lead the delivery and ongoing improvement of the technical capabilities used to collect, structure, and activate digital and customer data.

This hands-on role spans website tagging, Java Script implementation, analytics tracking, SQL, customer data platforms, and cloud data environments, with responsibility for ensuring that information is captured consistently and remains fit for analysis.

Success will involve more than maintaining existing tools.

You will identify weaknesses in data flows, resolve implementation issues, support new technology deployments, and create dependable foundations for customer insight and activation.

Working across technical and non-technical groups, you will translate business needs into practical analytics solutions while maintaining a clear focus on data quality, scalability, and measurable business value.

The position suits an experienced analytics professional who is comfortable taking ownership across a broad technology landscape.

You will operate as a trusted individual contributor, bringing structure to complex problems and helping this organisation build a more mature, connected, and useful analytics capability.

Key Responsibilities

• Set direction for the implementation, maintenance, and governance of digital tagging and customer data collection.
• Develop and review Java Script-based tracking solutions across relevant digital properties.
• Use SQL to investigate, transform, validate, and interpret complex datasets.
• Manage data flows between digital platforms, customer data systems, and downstream analytical environments.
• Configure or support customer data platform capabilities for audience management and activation.
• Monitor data quality, identify inconsistencies, and implement controls that improve reporting confidence.
• Work with AWS Redshift or comparable cloud data technologies to support reliable access to structured information.
• Diagnose tracking, integration, and analytics issues from initial investigation through resolution.
• Partner with stakeholders to define measurement requirements and convert them into robust technical specifications.
• Support the introduction, testing, and adoption of newly implemented data technologies.
• Document tagging standards, data processes, solutions, and operating procedures for long-term maintainability.
• Communicate technical findings and recommendations clearly to both specialist and business audiences.

Requirements

• Demonstrated professional experience delivering digital analytics, data collection, or customer data solutions.
• Advanced practical knowledge of website tagging, Java Script implementation, and digital measurement frameworks.
• Strong SQL capability, including the ability to query, manipulate, reconcile, and analyse complex data.
• Experience working with customer data platforms, with Tealium Audience Stream experience strongly preferred.
• Understanding of customer identity, data integration, audience management, and activation processes.
• Hands-on exposure to AWS Redshift or a comparable cloud-based data warehouse.
• Sound knowledge of digital analytics principles, tracking architecture, data governance, and quality assurance.
• Proven ability to troubleshoot issues across tags, scripts, platforms, pipelines, and reporting outputs.
• Confidence working across multiple technologies without losing focus on delivery, documentation, or business outcomes.
• Experience supporting technology implementation, migration, or capability development within a changing environment.
• Ability to work independently, prioritise competing requests, and take ownership of complex technical work.
• Strong written and verbal communication skills, with the judgement to tailor detail for different stakeholders.
• Adobe Analytics experience would add value, particularly within a broader digital measurement ecosystem.
• Working knowledge of Python or R would be advantageous for automation, analysis, or data validation.

Benefits

• Opportunity to shape the analytics and customer data foundations of an established Omaha-based retail organisation.
• Broad technical ownership spanning digital tracking, SQL, customer data platforms, and cloud data infrastructure.
• Direct visibility into initiatives that influence customer understanding, digital performance, and retail decision-making.
• Scope to introduce stronger standards, controls, documentation, and scalable ways of working across analytics.
• Exposure to evolving data technologies and the opportunity to support meaningful capability development.
• Professional growth through cross-functional work with digital, technology, marketing, and business stakeholders.
• A role suited to an experienced practitioner who values autonomy, variety, and tangible outcomes.
• Competitive employment terms and access to the resources required to deliver high-quality technical work.
• Other

Based in Omaha, Nebraska, this role offers the chance to influence how digital and customer data is collected, trusted, and used across a well-established retail business.

The successful candidate will bring technical depth, practical judgement, and the confidence to improve both day-to-day execution and longer-term analytics capability.

Applications are particularly relevant from professionals who have worked across tagging, SQL, customer data platforms, cloud warehouses, or digital analytics implementation.

Transferable experience will be considered where it demonstrates strong ownership of data quality, technical problem-solving, and stakeholder delivery.