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We are seeking a highly analytical, collaborative, and hands-on Manager of Adobe Analytics to bridge the gap between digital user behavior, enterprise data, and strategic business outcomes. In this role, you will perform deep-dive analysis on web and mobile clickstream data using Adobe Analytics to unlock critical insights into how customers interact with our digital touchpoints. Beyond traditional web reporting, you will leverage SQL and Python to integrate behavioral datasets with core enterprise domains-including policy, claims, customer demographics, and financial performance. As a key connector across the organization, you will collaborate with stakeholders in Finance, Policy, Marketing, and Data Engineering to build an end-to-end view of the customer. Your insights will directly drive customer experience improvements, increase digital conversion, and guide strategic product positioning to maximize business performance.
Responsibilities -
• Perform deep-dive analysis of web and mobile clickstream datasets using Adobe Analytics to identify customer friction points and conversion opportunities.
• Dashboarding & Reporting: Design, build, and maintain highly interactive dashboards, reports, and custom visualizations in Adobe Analysis Workspace.
• Advanced Journey Mapping: Conduct conversion funnel, fallout, flow, attribution, and customer journey analyses to streamline the end-to-end digital experience (from initial quote to claim submission).
• Metrics & Segmentation: Establish robust digital KPIs, custom segments, and calculated metrics that align behavioral trends with corporate goals.
• Data Synthesis (SQL/Python): Use SQL and Python to extract, transform, and analyze large-scale, unstructured web behavior data. Cross-Domain Connection: Connect digital clickstream records with enterprise databases containing policy records, claims history, financial ledger details, and demographic profiles to create an end-to-end view of the customer journey.
• Performance Driver: Translate customer behavior insights into actionable strategies to improve customer retention, boost digital policy adoption, and optimize marketing spend.
• End-to-End Insights: Partner with leaders across the Customer, Policy, and Finance domains to align digital metrics with actual financial and operational outcomes. Presenting to Leadership: Package analytical findings into clear, visually compelling presentations and narrative summaries that recommend specific product positioning and strategic actions
Qualifications:
• Minimum of 6 years of experience in customer journey analytics in Insurance highly preferred
• BA/BS Degree preferred
• Insurance Domain Knowledge: Prior experience within the insurance sector (ideally Property & Casualty / P&C), with familiarity of quote-to-bind funnels and claim filing journeys.
• Cloud Data Warehousing: Hands-on experience working with Snowflake, Databricks, or other cloud-based data environments.
• Advanced Statistical Techniques: Familiarity with forecasting, propensity modeling, or digital personalization engines.
• Certifications: Adobe Certified Expert (ACE) - Adobe Analytics Developer or Architect.
KPMG LLP ("KPMG") seeks a contractor in the United States to provide service to KPMG through one of our contracted employer/agency service providers. All applicants for any KPMG role are expected to act with integrity, professionalism, and personal responsibility to uphold the firm's respectful and courteous work environment. All applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
Nothing herein shall be deemed to create an employer-employee relationship between contractor and KPMG, nor shall contractor be considered a representative or agent of KPMG.
KPMG LLP and its subsidiaries comply with all local/state regulations in regard to displaying pay rate ranges. The pay rate range(s) displayed is/are specifically for those contracted who will perform work in or reside in the location(s) listed, if selected for the role. Pay is determined based on a variety of factors including market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), and specific location, for example. Additionally, applicants may be required to apply and become employed by a service provider utilized by KPMG, and final pay rate(s) and/or eligibility for additional benefits may be determined by such provider.
KPMG LLP, its subsidiaries, and its agency service providers (including, but not limited to, MBO Partners Inc., Magnit LLC, and TalentBurst Inc.) are equal opportunity employers/contractors. All qualified applicants are considered without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.