Senior Manager, Data Analytics

Integrity Marketing Group•Dallas, TX

10d

About The Position

We are seeking a strategic and hands-on Senior Manager, Data Analytics to join our Business Intelligence & Analytics team. This role is ideal for a highly analytical leader who thrives in a cross-functional environment and is passionate about driving data-informed decision-making across the organization. The ideal candidate has successfully led high-achieving analytics teams and consistently delivered clear, precise, and strategically impactful insights to senior leadership. In this role, you will play a critical part in shaping the analytics function at Integrity—unlocking deeper insights that drive growth and operational excellence across the organization. Let’s talk job responsibilities:

Requirements

Minimum 5 years of experience leading analytics functions, including team management and strategic oversight.
At least 10 years of hands-on experience in data analytics and data science, or a closely related field.
Proficiency in SQL for querying and analyzing large, complex datasets.
Strong experience with Python (3+ years), including AI/ML model development using libraries such as Pandas, NumPy, and Scikit-learn.
Working knowledge of business intelligence tools such as Power BI and Tableau.
Demonstrated ability to solve complex problems and answer strategic questions using data.
Proven capability to communicate technical concepts clearly to both technical and non-technical audiences.
Experience in gathering, organizing, and analyzing large volumes of structured and unstructured data to support business decisions.
Proven ability to communicate technical information to non-technical team members
Bachelor’s degree in computer science, Statistics, Mathematics, or a related quantitative field.

Nice To Haves

Experience with Snowflake a plus.
Master's or Ph.D. preferred.

Responsibilities

Partner with teams across the organization to identify analytics opportunities and implement solutions that enhance decision-making.
Become an expert of business operations, goals, and challenges to ensure data analysis is aligned with business priorities.
Operationalize analytics, moving projects from ideation, prioritization to production.
Define and implement analytics ecosystem, including intake, standards, tools, and training programs to support team growth and onboarding.
Manage and grow the high-performing analytics team.
Lead and mentor a team of data analysts and data scientists, fostering a culture of excellence, innovation, and continuous improvement.
Present findings and recommendations to senior leadership in a polished, professional format that supports strategic planning and operational execution.
Collaborate with IT to ensure data availability, integrity, and scalability to support evolving analytics needs.
Work closely with the Business Intelligence team to enhance the Power BI platform for enterprise-wide reporting.
Solve complex business problems by analyzing data while considering operational constraints and process limitations.
Develop, validate, and implement predictive models and algorithms to provide insights, predictions, or recommendations that inform daily business decisions and operations.
Work closely with data scientists and technical teams to build production-ready analytics solutions.
Translate business questions into statistical problems and design appropriate analytical approaches.
Supports the Director of Data and Analytics to develop a strategy for growth in the areas of data analytics.