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Marketing Analyst II

Job in Fishers, Hamilton County, Indiana, 46085, USA
Listing for: Navient
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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 ideal 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.

Areas

of Responsibility:
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, Power

    BI, 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.
MINIMUM 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,…
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