Marketing Data Analyst and Enablement Lead

Rockwell Automation•Boston, MA

1d•$96,400 - $144,960•Hybrid

About The Position

The marketing data analysis and enablement manager will lead the effort to drive continuous improvement of the data, analytics, and reporting that serves all aspects of marketing execution for Rockwell Automation. You will define the strategy for and ensuring the execution of projects related to analytics, reporting, data quality, data unification, and data distribution. You will be strategically focused on the governance and management of data and how it can be leveraged to drive more effective marketing. This position must prioritize data analysis as a discipline, oversee data technology strategy and set the reporting and data roadmap for Rockwell Automation marketing teams. The emphasis of this role will work with RA marketers to support the global marketing analytics platform and marketing databases. You will be the global point person for reporting, analytics, data management, and transformation. You will be hybrid working out of Boston, MA.

Requirements

Bachelors or equivalent years of experience
Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Nice To Haves

Experience driving data quality projects, unifying data from different systems and finding new ways to provide data consumers easy access to the information they need
Minimum of 5 years of experience in data analysis, reporting and enablement with 2+ years of experience in leadership
Experience with data modeling and database design
MAP, SFDC, CDP, MTA, and web systems
Work with business owners (data enablers) and data consumers to define data and reporting requirements
Provide a vision and act as an advocate for data management
Creation and maintaining a roadmap based on our goals and prioritization
Budget management
Data storytelling

Responsibilities

Lead the design strategy to improve our data strategy
Collaborate with teams to identify and address data quality issues.
Ensure compliance with ethical data practices, privacy regulations, and industry standards in all data analytics activities.
Implement continuous improvement processes for analytics methodologies, ensuring adaptability to evolving needs.
Define the data acquisition strategy to ensure that desired levels of breadth and quality are achieved.
Create the measurement plan for data management, including database readiness metrics and metrics that capture the impact of database readiness on downstream marketing processes.
Manage a comprehensive reporting framework to provide accurate insights to partners.
Analyze complex data sets to extract meaningful trends, patterns, and insights.
Develop compelling narratives around analytical findings, presenting insights in a way that resonates with diverse partners.
Conduct root cause analysis to understand the underlying factors influencing important metrics and performance indicators.
Develop predictive models to forecast trends, identify opportunities, and mitigate risks.
Use statistical techniques to analyze large datasets and find applicable insights for informed decision-making.
Define and track goals to measure the success of projects and strategies.
Create and apply segmentation strategies to understand customer behavior, preferences, and market dynamics.
Work directly with department heads and executive team to provide education and insights on the understanding of data, reporting needs, and developing advanced reporting solutions using tools like PowerBI.
Work with senior management to understand our goals and develop data and analytics strategies aligned with organizational goals.
Identify opportunities for process improvement and progress in analytics.
Create a roadmap for data and reporting.
Create a formal request workflow for analytics and automation support
Stay informed about new trends and technologies in marketing and data anslysis.
Evaluate, select, and implement appropriate technologies to enhance the effectiveness of reporting processes.
Perform requirements-gathering activities.
Have a clear understanding of the operations and needs of the company to design useful data structures and dashboards.