Marketing Analyst

Marketing Analyst About Us

Ascend is the largest credit union in Middle Tennessee and one of the largest credit unions in the United States, with over $4 billion in assets. With an occupation-based field of membership, Ascend is focused on the expansion and diversification of the select employee groups it serves, which creates greater security for the credit union and its member-owners. Approximately 650 employees serve more than 260,000 members from 27 Middle Tennessee branch locations, Regional Operations Center, Teller Center and Corporate Headquarters.

Ascend recognizes that its employees are critical to the credit union's sustained success and future growth. Our employees are the face of the credit union and their personal successes fuel the success of the team. Through collaboration between employees, management, our membership and our Board, we fuel an engine that propels the credit union forward.

Thank you for your interest in a career with Ascend Federal Credit Union! Being employed by Ascend is vastly different than just holding a job. The credit union prides itself on providing employees rewarding career opportunities, competitive benefits and a unique work culture. The credit union's commitment to its employees is fostered by its commitment to the member-owners, ensuring dedicated and engaged employees to serve the membership.

Ascend's vision to be the most loved credit union in our market by employees and members alike has earned the credit union distinctions including Federal Credit Union of the Year (NAFCU, 2015), Best Credit Union to Work For ) and Training MVP Awards ).

The Marketing Analyst works as a key member of the Marketing team to support the department and the organization's overall goals and strategic objectives by conducting research and analysis to inform data-driven decisions. This role will produce the analytical work used to determine targeting, segmentation, campaign KPIs, overall marketing performance, and incremental business impact as a result of marketing. This role will oversee member insights, assist with qualitative and quantitative research, web analytics, and more.

The analyst will work within the Marketing team and work closely with all areas of the department, our 3rd party agencies, and various business lines to make informed, data-driven decisions related to marketing efforts for credit union products, services, and brand awareness. #LI-Onsite

• Perform data analysis to inform comprehensive, multichannel marketing campaigns and promotions by defining key metrics and KPIs that drive ROI
• Develop and maintain interactive Power BI dashboards that provide actionable insights, enabling business users to independently explore and analyze data
• Translate complex data into clear, concise narratives to influence strategic decision-making
• Identify and recommend target audience segments, gather analytics, and prepare scenarios to inform or improve the success of growth and acquisition marketing campaigns
• Collaborate closely with Ascend's data team to ensure data accuracy and integrity through validation processes. Adhere to the organization's data governance standards and best practices. Design, develop, and audit Power BI dashboards to optimize performance and maintain data consistency
• Contribute to the success of marketing efforts by analyzing campaign performance based on data to determine efficacy and provide recommendations
• Report and present detailed tactic and campaign metrics to senior leaders in the credit union
• Design and compile analysis on the current membership to assist in data-driven targeting and messaging strategies
• Develop and maintain weekly/monthly reporting on the health of the brand, campaigns, and organization
• Analyze competition and trends, identify the organization's strengths and weaknesses, and determine potential opportunities
• Maintain an understanding of industry trends in business intelligence, data analytics, and visualization technologies. Continuously expand knowledge of data best practices and emerging data-driven methodologies to drive innovation and improve data-driven decision making
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