Data Analyst, Marketing and Operations

Job Description

This position is hybrid and will be in-office three days per week and from home two days per week. The in-office days must be in our Chelmsford, MA or Rye, NY office.

About Us:

At USALLIANCE, we pride ourselves on innovation, teamwork, training and development, and career planning. As part of our team, you will have the opportunity to grow both personally and professionally in an inclusive and supportive environment. Represent USALLIANCE in the community and form lasting relationships with our members and partners.

At this time, USAlliance Federal Credit Union will not sponsor a new applicant for employment authorization or offer any immigration related support for this position (i.e., H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).

If you need sponsorship now or in the future, look for this statement in the job description before you apply: “USAlliance Federal Credit Union will consider sponsoring a new, qualified applicant for employment authorization for this position”. If this is not listed in the job description, USAlliance Federal Credit Union will not provide sponsorship for the candidate to work in the United States.

About This Role:

The Data Analyst, Marketing and Operations at USALLIANCE Financial will be pivotal in driving data-driven decision-making across our organization. This individual will leverage technical expertise and analytical acumen to optimize marketing strategies, enhance operational efficiency, and drive innovation. This position will collaborate closely with marketing, operations, and finance stakeholders to uncover actionable insights, understand member behavior, and propose solutions for an exceptional member experience across the board. This individual will need to be able to integrate data from diverse sources and ensure data integrity.

By joining our team as a Data Analyst, Marketing and Operations, you will have the opportunity to significantly impact our organization's success. Your analytical insights will drive innovation, improve customer satisfaction, and optimize our operations.

Key Responsibilities:

• Partner with cross-functional stakeholders using quantitative analysis and advanced data modeling to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Proactively identify gaps/problems in our customer/member journey using advanced data and analytics techniques to propose business solutions; conduct exploratory analyses to investigate specific business questions or hypotheses.
• Participate in the design and delivery of data models, reporting systems, data automation systems, dashboards, and performance metrics that support key marketing and business decisions.
• Provide knowledge of the sales cycle for mid-funnel engagements to provide analytics support and recommendations to the marketing team to optimize performance and drive mid-funnel engagement and downstream conversions.
• Analyze, interpret, import/export, and manipulate data across various sources, including BI and DNA Core database.
• Develop and deploy predictive models for member/customer segmentation, message personalization, and product recommendation systems.
• Combine/integrate new data sources and be able to craft new narratives based on the data.
• Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization.
• Respond to ad-hoc data requests from stakeholders in a timely and accurate manner.
• Perform other duties as assigned.

Who You Are:

• A Bachelor's degree in Statistics, Economics, Mathematics or related technical field.
• 3+ years of experience in related analytical, data science or consulting background.
• Demonstrated experience supporting partners in finance, marketing, operations etc.
• Previous experience in developing, implementing, and refining core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation.
• Strong SQL skills with proven competencies in designing data models, optimizing for query performance, and clearly documenting code.
• Programming skills in Python, R, or a similar programming language.
• Knowledge of Oracle Business Intelligence, Power BI, or similar visualization/business intelligence platform(s); experience with statistical modeling and hypothesis testing.
• Ability to understand, measure, and empathize with the member’s journey.
• Strong communication skills and ability to convey complex topics to non-technical audiences; ability to translate data insights into actionable business recommendations.
• Strong problem-solving and critical thinking skills.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• Hybrid Schedule (min 3 days in office to maximize collaboration).
• A collaborative and inclusive work environment.
• Paid Time Off, Wellness Time & Paid Federal holidays.
• 401K with 6% match.
• High Performance Culture.

Become a part of a team where your ideas are valued, your growth is supported, and your work makes a difference. Apply today and take the next step in your career with USALLIANCE.

EQUAL OPPORTUNITY EMPLOYER

USALLIANCE Federal Credit Union, as an Equal Opportunity Employer, values and supports the diverse cultures, perspectives, skills, and experiences within our workforce.

This job description is for informational purposes only and should not be construed as a complete listing of the job responsibilities and requirements. This job description may be modified at any time, for any reason, at the sole discretion of management.

In the spirit of pay transparency, we are excited to share the base salary/hourly range for this position is $75,190.00 - $101,970.00, exclusive of fringe benefits or potential incentives. This position is also eligible for an annual corporate bonus. If you are hired at USALLIANCE Federal Credit Union, your final base salary compensation will be determined based on factors such as skills, education, and/or experience. In addition to those factors, we believe in the importance of pay equity and consider the internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is the full base salary for the role. Hiring at the maximum of the range would not be typical to allow for future and continued salary growth. We also offer a generous compensation and benefits package.

All positions must adhere to standard BSA/AML policies, procedures, and processes. Employees must demonstrate awareness of business functions and how business decisions affect financial and/or non-financial work results.