Lead Digital Technolgy and Marketing Analytics

Acushnet CompanyFairhaven, MA

About The Position

Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. We’re seeking a data-driven and collaborative Lead Digital Technology & Marketing Analytics professional to help transform data into actionable business insights across digital, marketing, operations, and enterprise functions. In this role, you’ll work closely with stakeholders across digital marketing, customer service, operations, engineering, R&D, and IT to support the integration, management, and analysis of data from a variety of sources. You will be responsible for developing, testing, and maintaining dashboards, reports, visualizations, and self-service analytics solutions that enable business users to make informed decisions and support strategic initiatives. Partnering with centralized data and technology teams, you’ll help define data architecture, manage data pipelines, validate datasets, develop data models, and support data governance best practices across the organization. As a key member of the analytics function, you will drive adoption of analytics tools through user training and enablement, collaborate on prioritizing business requests, and contribute to test-and-learn initiatives including A/B testing and incremental analysis. Your ability to identify trends, uncover opportunities, and communicate insights clearly will play a critical role in advancing data-driven decision making across the business.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Business, Economics, Statistics, or a related field; equivalent experience considered.
  • Minimum of 8+ years of experience working with enterprise-level information systems, data analytics, business intelligence, or related disciplines.
  • Advanced understanding of statistics, mathematics, data modeling, and analytical methodologies.
  • Strong experience with business intelligence and data visualization platforms such as Power BI, Tableau, Domo, or similar tools.
  • Advanced SQL skills with demonstrated ability to query, transform, validate, and analyze complex datasets.
  • Experience designing and supporting ETL processes, data pipelines, data architecture, and data modeling solutions.
  • Experience working with web analytics platforms such as Google Analytics and/or Adobe Analytics.
  • Familiarity with eCommerce environments and order management systems.
  • Understanding of digital marketing and media measurement methodologies, including marketing mix modeling, multi-touch attribution, customer segmentation, and customer lifetime value analysis.
  • Demonstrated success transforming complex data into actionable insights and business recommendations for both technical and non-technical audiences.
  • Experience partnering with cross-functional stakeholders across marketing, technology, operations, engineering, customer service, and business functions.
  • Knowledge of data governance principles, reporting standards, and data quality best practices.
  • Strong verbal, written, presentation, and stakeholder management skills with the ability to communicate insights clearly and credibly.
  • Proven ability to train, support, and drive adoption of self-service analytics and reporting tools.
  • Highly organized and self-motivated with strong attention to detail.
  • Flexible and adaptable with a willingness to learn new technologies, tools, and business processes.

Nice To Haves

  • Experience working with digital technology, marketing, sales, manufacturing, consumer products, or golf industry datasets is a plus.

Responsibilities

  • Developing, testing, and maintaining dashboards, reports, visualizations, and self-service analytics solutions.
  • Enabling business users to make informed decisions and support strategic initiatives.
  • Defining data architecture, managing data pipelines, validating datasets, and developing data models.
  • Supporting data governance best practices across the organization.
  • Driving adoption of analytics tools through user training and enablement.
  • Collaborating on prioritizing business requests.
  • Contributing to test-and-learn initiatives including A/B testing and incremental analysis.
  • Identifying trends, uncovering opportunities, and communicating insights clearly.
  • Partnering with cross-functional stakeholders across marketing, technology, operations, engineering, customer service, and business functions.
  • Training, supporting, and driving adoption of self-service analytics and reporting tools.
  • Managing multiple priorities simultaneously.
  • Traveling as needed to support business initiatives and stakeholder engagement.

Benefits

  • Comprehensive suite of health and well-being programs for associates and their families, including domestic partners.
  • Paid time off.
  • Onsite fitness center.
  • Acupuncture.
  • Physical therapy.
  • Wellness coaches.
  • 401k with company match.
  • Health savings accounts.
  • Flexible spending accounts.
  • Pet insurance.
  • Legal planning.
  • Education assistance.
  • Exclusive access to our Associate Store.
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