Data Enablement Analyst

Join one of the nation’s most respected financial services organizations, where data, analytics, and operational excellence come together to drive smarter decisions at scale.

As a Data Enablement Analyst, you will work hands-on with business partners to transform “spare” or disconnected data into a structured, usable database — and then bring it to life through clear analysis and intuitive visualizations.

This role supports a critical initiative focused on building a new, centralized dataset from fragmented and unstructured data to improve how Discover partners onboard and manage business relationships.

Role Details*W2 candidates only – sponsorship not available*

• Location: REMOTE – preferred, in the Chicago, IL area
• Schedule: Monday–Friday (Business Hours)
• Compensation: $84 per hour (negotiable based on experience)
• Duration: 6-month contract to start (extension potential)

Top Required Skills

• Strong SQL skills for querying, joining, and transforming data.
• 2–3+ years of professional experience working with data in an analyst, operations, or analytics role.
• Strong experience with Excel and/or Tableau for analysis and visualization.
• Proven ability to clean, normalize, and integrate data from multiple sources.
• Experience working with relational databases using primary key joins.
• Strong analytical mindset with the ability to translate metrics into business insights.

Role Overview

This role is focused on creating a new dataset and analytics framework from the ground up to support onboarding and operational workflows for business partners.

You will partner continuously with stakeholders to understand their data, define structure, and develop accessible tools (Tableau / Excel) that support day-to-day business operations. The emphasis is on data creation, organization, visualization, and enablement, rather than maintaining existing reports.

What You’ll Do

• Partner closely with business operations teams to understand onboarding and workflow data needs.
• Intake and assess unstructured, incomplete, or fragmented data from multiple sources.
• Design and build a structured dataset or database to support improved onboarding and organization.
• Clean, normalize, and transform data to ensure accuracy and usability.
• Write SQL queries to extract, join, and analyze data (preferred).
• Use Python (preferred) to support data transformation or automation when needed.
• Create clear, accessible dashboards and tools using Tableau and Excel for business consumption.
• Translate raw data into insights that improve operational visibility and decision-making.
• Iterate on data models and reporting based on ongoing partner feedback.

Preferred Qualifications

• SQL experience (2–3 years preferred).
• Python experience for data transformation or automation.
• Experience working with Snowflake (current data lake) is a plus.
• Salesforce experience is a plus but not required.
• Background in financial services, banking, or payments is a plus — but not required.
• Bachelor’s degree preferred (important for future FTE consideration).

_Technical Skills_Nice Have

• Snowflake
• Salesforce
• Payments industry experience

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