The role
Job description
Role & Responsibilities:
• Partner with digital product, marketing, and analytics stakeholders of an insurance client to elicit,
document, and prioritize data collection requirements for web and mobile journeys, including tagging
specifications for Adobe Analytics.
• Translate business requirements into clear data collection specifications covering events, props, eVars, and
data layer variables, and maintain traceability from requirement to implementation in JIRA.
• Validate data collection end to end by inspecting tag calls with Omnibug and reconciling captured values
against Adobe Analytics reports to confirm accuracy and completeness before release.
• Design and build data curation prototypes that transform raw Adobe Analytics data into curated, analysisready datasets in Snowflake, documenting logic, grain, and business rules.
• Perform data curation validation, including row-count reconciliation, field-level profiling, and source-totarget checks, and log and track defects through to resolution.
• Develop, schedule, and manage batch jobs and data pipelines using SAS Viya and Snowflake, monitoring
run status, dependencies, and SLAs to ensure timely data availability.
• Provide production support for digital data assets by monitoring jobs, investigating failures and data
anomalies, performing root cause analysis, and communicating fixes or escalations clearly to stakeholders.
• Maintain accurate documentation, including data dictionaries, tagging and mapping specifications,
validation test cases, and run books, to enable smooth handover and knowledge sharing.
Candidate Profile:
• Bachelor's degree in Information Systems, Computer Science, Statistics, Engineering, or a related field
(Required).
• 5+ years of experience in digital analytics, data analysis, or data solutions roles, ideally within insurance or
financial services (Required).
• Hands-on experience with Adobe Analytics, including solution design, eVars, props, events, and Analysis
Workspace (Required).
• Experience validating tagging and data collection using Omnibug or similar tools such as Adobe Experience
Platform Debugger (Required).
• Strong SQL skills with working experience in Snowflake for data curation, transformation, and validation
(Required).
• Working knowledge of SAS Viya for data processing and job scheduling and management (Preferred).
• Experience supporting production data jobs, including monitoring, incident triage, and root cause analysis
(Required).
• Experience writing data requirements, mapping documents, and test cases, and managing work in JIRA
(Required).
• Familiarity with insurance digital journeys such as quote, purchase, servicing, and claims (Strongly
preferred).
• Strong analytical, problem-solving, and communication skills for engaging client stakeholders in a hightouch environment with overlap with U.S. business hours (Required)