Marketing Analyst

Navient•Fishers, IN

10h

About The Position

Navient Solutions LLC Navient (Nasdaq: NAVI) helps students and families confidently manage the cost of higher education. We create long-term value for customers and investors through responsible lending, flexible refinancing, trusted servicing oversight, and decades of portfolio management expertise. Our employees thrive in a culture of belonging, where they are supported and proud to deliver meaningful outcomes. The Marketing Analyst is a high-performing and highly visible role whose primary mission is to provide key business and performance intelligence to executive management that enables accurate, efficient, and optimal financial management. The Marketing Analyst II will be responsible for performance analysis across various growth channels including paid search, paid social, partner/affiliate and direct mail to provide visibility into key business and marketing metrics and serve as an expert on all things data for their partners in the marketing organization. The role is idea for someone who thrives in a fast-paced environment, enjoys solving complex problems, and can translate data into actionable insights. You’ll also own ad operations ensuring pixels, events, tags and instrumentation are accurate, privacy-compliant and robust. Specifically, the Marketing Analyst II will work with other team members and business partners to gather, manipulate, research, and understand data and then employ this data to inform spending decisions and campaign optimizations. This role involves synthesizing insights from multiple sources—including campaign performance, customer behavior, and market trends—to inform budget allocation, optimize marketing spend, and enhance campaign effectiveness across digital and traditional channels.

Requirements

Bachelor’s Degree- Business Analytics, Data Science, Operations Research or Industrial Engineering, Economics, or a related quantitative field.
3+ years of relevant work experience in a data-centric role (e.g. product analytics, business intelligence, investment banking, financial/risk modeling, pricing, management consulting, etc.).
2+ years of marketing analyst experience.
2+ years experience using R or Python in an analytical environment and an excellent understanding of SQL.
Experience in ad platform data and event management (Google ads, Meta)
Experience with Google Tag Manager
Additional equivalent education above the required minimum may substitute for level of experience.

Nice To Haves

Solid understanding of marketing concepts and marketing performance measurement concepts
Comfortable working in a fast-paced environment
Excellent communication and presentation skills, including the ability to synthesize large sets of data into key findings
You use R or Python in an analytical environment and have a strong working proficiency of SQL
Ability to methodically execute complex computational processes accurately and efficiently in a time-sensitive environment
High levels of intellectual curiosity and a strong desire to explore and understand business concepts and problems
Technical ability to maintain, execute, and enhance the models on the model platform
Business acumen to understand, synthesize, and present the results to management
Creativity, critical thinking, initiative, and problem-solving skills
Willingness and interest in independently learning and researching new or better possible ways to model or answer analytical problems
Interest in and appreciation for a position that grants exposure to multiple levels of modeling and analysis across finance, credit, financial planning, and accounting, as well as the opportunity/ability to interact with senior management on a regular basis
Attention to detail
Drive to perfection
Ability to solve problems individually by exhausting all available resources
A motivated individual able to work alone as well as in groups
Ability to multi-task and manage tight deadlines
Strong written, verbal, and interpersonal skills (i.e. well written and spoken)
Focus on efficiency improvements and automation
Understanding of data structures and ability to quickly learn new databases and tools

Responsibilities

Data Analysis Extract and organize data from disparate sources, including but not limited to prospect lists, internal data warehouse environments, and site traffic databases, into a usable form for consumption and analysis.
Use tools like R and SQL to perform statistical analysis of campaign effectiveness such as response rate and ROI calculations, page waterfall analysis, user segmentation.
Create self-serve reporting dashboards leveraging large datasets with SQL in Looker, PowerBI, and Amplitude.
Ad Operations and Tag Management Validate that inputs within marketing execution tools such as Braze, Marketo, Google Tag Manager, and Google Analytics are set to ensure proper tracking and measurement of campaigns
Define and maintain UTM taxonomies; enforce governance for consistent attribution and reporting
Troubleshoot tracking issues Experimentation and Incrementality Design and build A/B or multivariate testing frameworks to help marketing test various hypotheses
Define and manage KPIs including ROI, CAC, and LTV, deliver analysis, and manage the overall reporting of metrics and insights which lead to marketing conversion improvements
Collaborate with Marketing, Product and Sales Org to deliver strategic insights Partners with marketing, product, and sales to understand how analytics can help enable, measure, and achieve business goals.
Makes recommendations based on statistical analysis to help teams make better decisions regarding campaign outcomes, spending, ROI Automation of audience generation and reporting
Will identify opportunities for automation of manual reporting processes across the team for improved efficiency and better compliance.
Collaborate with Data Engineering to assist in defining requirements and validating data instrumentation and reporting solutions that emerge for marketing use cases