Digital Analytics Specialist II

Collaborate with digital product, marketing, search engine optimization, Customer Experience, IT, data, security, architecture, operations, Fraud/Risk and other Enterprise partners, while responsibly using approved automation and emerging technologies to improve analysis, documentation and quality assurance. Integrate and analyze disparate digital, customer, policy, producer and servicing data from cloud platforms and enterprise data sets using Google Analytics 4, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python and Excel.

Overview: Leads enterprise digital analytics across websites, portals, mobile applications and related digital channels. Responsible for defining measurement strategies, integrating disparate digital and enterprise data, developing dashboards and advanced analysis, and translating complex findings into actionable insights and business cases. Designs, develops, and maintains data pipelines, analytical datasets, dashboards, data models, and tracking solutions that support analysis. Partners with digital products, marketing, data, technology and business teams to establish key performance indicators, improve data quality, optimize customer journeys, measure downstream business outcomes and support prioritization. Provides advanced guidance on analytics implementation, tagging, attribution, experimentation and reporting standards. Communicate with all levels of associates and management in a manner that breaks down complex challenges into actionable steps that drive results. Works independently with minimal supervision and provides technical guidance to other analysts and business partners. Responsibilities: What you will do:

• Lead continuous analysis and reporting across enterprise websites, portals, mobile applications and related digital channels, connecting traffic and behavior to downstream operational and business outcomes.
• Develop and maintain advanced dashboards, scorecards and recurring reporting, translating findings into executive-ready insights, recommendations and compelling business cases.
• Partner with business and product leaders to define digital KPIs, measurement plans, targets, data definitions and value-realization measures.
• Build and maintain analytics pipelines, curated datasets, transformations and data models.
• Integrate and analyze disparate digital, customer, policy, producer and servicing data from cloud platforms and enterprise data sets using Google Analytics 4, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python and Excel.
• Lead analytics requirements for data engineering and custom development; validate data accuracy, completeness, lineage, consistency and alignment to business analysis goals.
• Own and advance tag management, event tracking, attribution and campaign measurement strategies, coordinating implementation and quality assurance with technology teams.
• Design, analyze and interpret A/B, multivariate, personalization and test-and-measure programs to improve engagement, conversion, customer experience and operational efficiency.
• Identify trends, anomalies, funnel friction and opportunities; perform root-cause analysis and recommend prioritized actions based on business value.
• Establish reusable analytics standards, documentation, dashboards and quality-control practices; educate partners, enable responsible data self-service, and mentor or provide technical guidance to less-experienced analysts and business partners.
• Collaborate with digital product, marketing, search engine optimization, Customer Experience, IT, data, security, architecture, operations, Fraud/Risk and other Enterprise partners, while responsibly using approved automation and emerging technologies to improve analysis, documentation and quality assurance.
• Performs other duties as assigned.
• Complies with all policies and standards.

Qualifications:

• Bachelor's Degree in Data Analytics, Statistics, Business Administration, Marketing, Technology, Computer Science or a related field, or equivalent work experience - Required
• Typically requires four to seven years of digital analytics, analytics engineering, business intelligence, data engineering, digital conversion, website or application optimization, or related data analysis experience. - Required
• Proven experience integrating disparate data sources and connecting digital behavior to downstream customer, operational and business outcomes. - Required
• Strong understanding of data modeling, data pipelines, cloud data platforms, data quality, governance, tagging, attribution and analytics implementation practices. - Required
• Experience designing and analyzing methodical A/B, multivariate, personalization and test-and-measure programs. - Preferred
• Demonstrated project leadership, requirements gathering, prioritization, business analysis, stakeholder management and interpersonal skills. - Required
• Experience with Sitecore Analytics or Content Management, Google Cloud or enterprise data platforms, and financial services or insurance data. - Preferred
• Advanced skills with Google Analytics 4, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python, and Excel. - Required
• Proven ability to define KPIs and measurement plans, develop dashboards, identify insights and communicate recommendations to leadership and non-technical audiences. - Required
• Personal attributes include ethical, credible, professional, results-driven, analytical, detail-oriented, intellectually curious, adaptable and comfortable interacting with all levels of management. - Required
• Demonstrated ability to independently lead complex work, manage multiple priorities, maintain attention to detail and thrive in a collaborative team environment. - Required
• Proven verbal and written communication, presentation and data-storytelling skills with the ability to simplify complex analytical and technical concepts. - Required
• Knowledge of cloud data platforms, data integration and visualization tools, Sitecore Analytics or Content Management, and sprint delivery software. - Preferred
• Google Analytics, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python, and Excel or related data analytics certifications with demonstrated knowledge. - Preferred

Work Setting/Position Demands:

• Works in an office setting and remains in a stationary position for long periods of time while working at a desk, on a computer or with other standard office equipment, or while in meetings.
• Requires the ability to verbally communicate and exchange accurate information to customers and associates on a regular basis.
• Requires visual acuity to read and interpret a variety of correspondence, procedures, reports and forms via paper and electronic documents, visual inspection involving small defects; small parts, and/or operation of machinery (including inspection); using measurement devices continuously. Visual acuity is required to determine accuracy, neatness, and thoroughness of work assigned.
• Requires the ability to prepare written correspondence, reports and forms using prescribed formats and conforming to rules of punctuation, grammar, diction, and style on a regular basis.
• Requires the ability to apply principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions
• Performs substantial movement of wrists, hands, and fingers for continuous computer work.
• Extended hours required during peak workloads or special projects/events.
• Occasional after-hours work needed.

Travel Requirements:

• Occasional travel may be required by car and/or plane.