Director of Data and Analytics

Nahan Printing•Saint Cloud, MN

52d•$130,000 - $170,000•Remote

About The Position

The Director of Data and Analytics is a leadership role focused on campaign measurement, attribution, and optimization within a direct marketing environment. This role also oversees data pipeline development, campaign testing frameworks, predictive modeling integration, and reporting automation to support client strategy and performance. This role plays is key in both client-facing delivery and internal infrastructure development, ensuring statistically valid, scalable, and actionable analytics across marketing programs.

Requirements

Advanced expertise in SQL (T-SQL preferred) for working with large relational marketing databases.
Strong knowledge of fuzzy matching methodologies, record linkage and campaign matchback attribution logic.
Demonstrated experience building test/control structures for A/B and multivariant testing, including interpretation of statistical significance.
Understanding of campaign-level performance metrics: net response, conversion rate, ROI, cost per acquisition.
Ability to conduct exploratory data analysis and interpret large datasets for actionable marketing insights.
Proficiency with reporting platforms such as Power BI, Tableau, or SSRS.
Strong written, verbal and listening communication skills, with ability to present complex finding clearly and confidently.
Ability to manage multiple projects simultaneously with high attention to detail and deadlines.
Comfort working in a fast-paced, data-driven marketing environment.
Proficiency in the English language, verbally and written.
Bachelor's degree in Statistics, Analytics, Information Systems, Marketing, or related quantitative discipline required.
Minimum of five-eight years of experience in data analytics, with a focus on campaign measurement or direct marketing analytics.

Nice To Haves

Familiarity with postal optimization, data suppression logic, and mailing workflow a plus.
Master's degree or equivalent relevant experience a plus.
Experience in both consumer and B2B marketing programs preferred.
Familiarity with direct mail operations, testing, and attribution methodologies is strongly preferred.
Industry background in insurance, telecom, financial services, and/or catalog retail marketing is a plus.

Responsibilities

Conduct the end-to-end campaign matchback processes using matching software that links mail files to respondent outcomes using advanced deterministic and fuzzy matching logic, across both consumer and B2B data.
Align responder files with direct mail campaign data to provide accurate attribution, campaign ROI, and lift insights across 30/60/90+ day campaign attribution windows.
Interpret and communicate test results and performance trends clearly to internal and external stakeholders, including executive summaries and presentation materials.
Design and manage data cleansing processes, ensuring consistency and accuracy across source files and marketing databases.
Build and maintain client-specific data files, including transformations to support customer suppressions, selections, segmentations, and creative assignments.
Oversee campaign test design, including the creation and execution of statistically valid A/B and multivariate (MVT) frameworks.
Develop automated campaign report tools and dashboards focused on KPIs i.e., response rate, conversion, ROI, and acquisition cost.
Conduct exploratory data analysis to uncover trends, segmentation opportunities, and areas for performance optimization.
Collaborate with external modelers to build and apply customer profiles and behavior prediction models that support targeting strategies.
Standardize and document methodologies using T-SQL for campaign setup, analysis, and postal optimization to support scalable operations and cost reduction.
Partner with internal departments (Strategy, Client Services, Data Processing, Production) and external vendors to ensure campaign setup accuracy and timely delivery of analytics.
Participate in client meetings, provide performance insights, strategic recommendations, and support for account development and retention.
Continuously evaluate and improve reporting workflows, data structures, and testing designs to increase efficiency and learning velocity.
Oversight of external data partner reporting, taking over the report-out of results to clients.
Follow all Nahan Safety and Quality policies and procedures.
Support 6S initiatives as required.
Perform other duties as assigned.