Digital Analytics Specialist II
About The Position
Leads enterprise digital analytics across websites, portals, mobile applications and related digital channels. The role defines measurement strategies, integrates disparate digital and enterprise data, develops dashboards and advanced analyses, and translates complex findings into actionable insights and business cases. It designs, develops and maintains data pipelines, analytical datasets, dashboards, data models and tracking solutions that support analysis. The specialist partners with digital product, marketing, data, technology and business teams to establish key performance indicators, improve data quality, optimize customer journeys, measure downstream business outcomes and support prioritization. The role provides advanced guidance on analytics implementation, tagging, attribution, experimentation and reporting standards; communicates complex challenges as actionable steps; works independently with minimal supervision; and provides technical guidance to analysts and business partners. The position works in an office setting, with extended hours during peak workloads or special projects and occasional after-hours work. Occasional travel by car and/or plane may be required.
Requirements
- Bachelor's degree in Data Analytics, Statistics, Business Administration, Marketing, Technology, Computer Science or a related field, or equivalent work experience.
- Typically four to seven years of digital analytics, analytics engineering, business intelligence, data engineering, digital conversion, website or application optimization, or related data analysis experience.
- Proven experience integrating disparate data sources and connecting digital behavior to downstream customer, operational and business outcomes.
- Strong understanding of data modeling, data pipelines, cloud data platforms, data quality, governance, tagging, attribution and analytics implementation practices.
- Demonstrated project leadership, requirements gathering, prioritization, business analysis, stakeholder management and interpersonal skills.
- Advanced skills with Google Analytics 4, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python and Excel.
- Proven ability to define KPIs and measurement plans, develop dashboards, identify insights and communicate recommendations to leadership and non-technical audiences.
- Personal attributes include being ethical, credible, professional, results-driven, analytical, detail-oriented, intellectually curious and adaptable, with comfort interacting with all levels of management.
- Ability to independently lead complex work, manage multiple priorities, maintain attention to detail and thrive in a collaborative team environment.
- Strong verbal and written communication, presentation and data-storytelling skills, including the ability to simplify complex analytical and technical concepts.
- Ability to verbally communicate and exchange accurate information with customers and associates regularly.
- Visual acuity to read and interpret correspondence, procedures, reports and forms in paper and electronic formats, inspect small defects or parts, operate or inspect machinery, use measurement devices continuously, and assess the accuracy, neatness and thoroughness of work.
- Ability to prepare written correspondence, reports and forms using prescribed formats and following punctuation, grammar, diction and style rules.
- Ability to apply logical thinking to define problems, collect data, establish facts and draw valid conclusions.
- Ability to perform substantial, continuous movement of the wrists, hands and fingers for computer work.
- Occasional travel by car and/or plane may be required.
Nice To Haves
- Experience designing and analyzing methodical A/B, multivariate, personalization and test-and-measure programs.
- Experience with Sitecore Analytics or Content Management, Google Cloud or enterprise data platforms, and financial services or insurance data.
- Knowledge of cloud data platforms, data integration and visualization tools, Sitecore Analytics or Content Management, and sprint delivery software.
- Google Analytics, Google Tag Manager, BigQuery, Databricks, Microsoft Fabric, SQL, Python, Excel or related data analytics certifications with demonstrated knowledge.
Responsibilities
- 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 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 analytics and data tools.
- Lead analytics requirements for data engineering and custom development, and validate data accuracy, completeness, lineage, consistency and alignment with 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, using approved automation and emerging technologies responsibly to improve analysis, documentation and quality assurance.
- Perform other duties as assigned.
- Comply with all policies and standards.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
