Data Analyst - IT IV

Codetech • Chicago, IL

1d • Remote

About The Position

The Data Analyst will support the Customer Identity and Access Management (CIAM) product area by turning customer identity, authentication, and digital journey data into actionable insights. The role analyzes platform data across login, registration, enrollment, authentication, and account-recovery experiences to measure product performance and identify friction points. The analyst collaborates with product, engineering, fraud prevention, UX, operations, and analytics teams to improve measurement strategy and inform roadmap prioritization across customer-facing digital channels.

Requirements

• At least 4 years of advanced SQL querying, data extraction, and schema analysis for complex data sets.
• At least 4 years of hands-on dashboarding and reporting expertise using Power BI, Excel, Tableau, or Adobe Analytics.
• At least 4 years of experience tracking digital funnel conversion trends, drop-off rates, error patterns, and user-experience telemetry.
• At least 4 years of experience defining event-tracking specifications and integrating CIAM platform events into analytics tools.
• Strong experience with customer journey telemetry and digital identity or authentication systems.
• Ability to communicate clear narratives to engineering teams and business leaders.

Nice To Haves

• Experience with Quantum Metric, Splunk, or similar digital observability and log-analysis tools.
• Understanding of CIAM protocols and concepts, including OAuth, SAML, OpenID Connect, and MFA.
• Practical experience applying AI tools to streamline analysis, documentation, and workflow efficiency.
• Experience with A/B test analysis, feature-rollout evaluation, and agile product-backlog refinement.

Responsibilities

• Analyze CIAM data across login, registration, enrollment, password reset, MFA, session management, and account-recovery journeys to identify trends and friction points.
• Build and maintain dashboards and reporting views in Power BI, Excel, or similar tools to track funnel conversion, drop-off rates, error patterns, and authentication success rates.
• Partner with Product, Engineering, Fraud Prevention, UX, and Operations to define KPIs, event-tracking requirements, and measurement plans.
• Translate complex data findings into actionable recommendations and backlog inputs to help prioritize CIAM product enhancements.
• Support data analysis for A/B testing, feature rollouts, production changes, incident reviews, and post-release assessments.
• Document data definitions, reporting logic, known data limitations, and business rules to ensure consistent metrics across executive and technical stakeholders.

What This Job Offers

• Education Level: No Education Listed