Data Analyst Marketing & Operations Analytics

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Data Analyst Marketing & Operations Analytics

Key Responsibilities:

• Marketing Analytics & Optimization

Develop data-driven marketing attribution models (Single and Multi-Touch Attribution).

Support Marketing Mix Modeling (MMM) to analyze campaign performance and optimize budget allocation.

Perform ROI simulations and scenario planning using historical performance data.

• Customer & Campaign Personalization

Analyze customer journey data and behavioral patterns to support segmentation.

Identify key variables for personalized marketing content, channel, frequency, and offer design.

Support the creation of personalization logic using campaign and offer-level performance data.

• Dashboard Development

Collaborate with cross-functional teams (credit risk, marketing, finance, collections) to design an integrated DPL dashboard.

Translate raw datasets into executive-ready performance dashboards.

Support the development of monitoring tools to track marketing impact and operational KPIs.

• Data Requirements & Governance

Identify gaps in current data pipelines and recommend enhancements to support present and future analytics.

Create documentation for data requirements, lineage, and sources in partnership with internal Discover teams.

Work closely with data engineering and IT teams to ensure scalable, secure data integration.

• Cross-Domain Analytics Support

Assist in developing additional use cases related to operations, customer experience, and service analytics.

Analyze support tickets, web logs, and CX data to identify friction points and drive Gen-AI automation use cases.

Provide analytical input into A/B tests, root cause analysis, and cost optimization efforts.

Skills & Qualifications:

3 6 years of experience in data analytics, preferably in financial services or marketing analytics.

Strong SQL and data manipulation skills using Python (SAS experiences a plus).

Experience with dashboarding tools (Tableau etc.)

Familiarity with marketing attribution models (STA, MTA) and marketing mix modeling.

Understanding of customer segmentation, personalization strategies, and campaign analytics.

Excellent communication skills able to work across business and technical teams.

Experience working in a consulting or matrixed environment is a plus.