Web Site Analytics - Spring, United States - Hewlett Packard

Hewlett Packard

Verified Company

Spring, United States

1 day ago

Posted by:

Mark Lane

beBee recruiter

Description

_ Responsibilities:
_

Key:_
Proven track record of Synthesizing & Analyzing large data sets from disparate systems and joining them to tell the full story
Drive material improvements to acquisition, retention, and customer lifetime value activities through analysis & experimentation of new functionality and campaigns spanning across all channels
Ability to interpret attribution models and use customer journeys insights for multitouch analysis
Proficient with web analytics tools such as Google Analytics and Adobe Analytics with expertise in advance features and functionality (i.e. data warehouse, vista rules, segments, calculated metrics. etc)
Lead goal and KPI & forecasting discussions with stakeholders focusing on margin and returns (RPV, ROAS, GM, etc)
Hands on experience with tagging review, evaluation and architecture/design for new requirements
Recommend gotomarket actions based on analytical findings to senior leaders
Develop program initiatives utilizing segmentation strategies based on customer behaviors, business drivers and economics, competitive environment and past program results
Master at evaluating website tags and document requirements to support business needs
Expertise in web analytics. Hands on experience on building dashboards and segmentation in Adobe analytics. Understand the different component of Adobe analytics
Provide thought partnership in customer web/mobile engagement & journey, lifecycle activities and website optimization
Strong:_
Partner with business and analytics leaders to design, implement and analyze test experiments intended to optimize demand generation channels across HP's digital direct business.
Develop and oversee digital campaign strategy, which incorporates customer

- facing communications strategy, customer path/journey, and digital media mix

Build and evolve tools that enable us to evaluate and interpret experimental data at scale including 1st party and agency data
Partner with product managers and data scientists to define the technical roadmap and vision of experimentation
Advise leadership team on key technical considerations related to the future of our technology stack and product roadmap
Based on appropriate analysis of marketing information, provide valueadded business performance analytics and optimization recommendations that enable continuous improvement across the Marketing organization to drive incremental demand generation or improve marketing productivity.
Work with business marketing teams to develop comprehensive understanding of marketing investment opportunities/tradeoffs and translate that understanding into detailed requirements.
Strong Expertise in data analytics tools like SQL, R/Python with indepth knowledge and understanding of business intelligence platforms such as Datorama, Tableau, Power BI, Alteryx, etc.
Experience in modeling techniques such as Multimedia Mix, Multi Touch Attribution, Predictive Analytics, etc.
Strong knowledge and working experience in Google Marketing Platform, especially in Analytics (GA 360, GA4, Adobe Analytics), Google Tag Manager, Data Studio, Optimize
Exposure to Data Management Platforms and Customer Data Platforms
Expertise in the full spectrum of digital analytics including but not limited to tag management, web analytics, A/B testing, campaign optimization, audience management, paid media measurement
Familiarity with AI/ML techniques applicable to marketing analytics
Evolve and refine measurement frameworks and KPIs for Customer Measurement
Develop program initiatives utilizing segmentation strategies based on customer behaviors, business drivers and economics, competitive environment and past program results
Expertise in web analytics. Hands on experience on building dashboards and segmentation in Adobe analytics. Understand the different component of Adobe analytics
Provide thought partnership in customer web/mobile engagement & journey, lifecycle activities and website optimization
Develop program initiatives utilizing segmentation strategies based on customer behaviors, business drivers and economics, competitive environment and past program results
Benchmark, communicate and track program results against plan
Be able to quickly translate business problems to an analytical solutionbased framework

_ Education and Experience Required:
_

Solutionsoriented thinker who can adequately assess and prioritize business needs and translate those into thoughtful and creative digital executions
Analytical thinker with exceptional strategic planning and problemsolving skills
6+ years of experience as a Data Scientist, Data Analyst, or Data Engineer. Preferably for a digital media, MarTech, digital subscription business, and/or technology business
4+ years' experience in experimentation design, A/B testing, propensity score analysis, linear regression modelling and/or probabilistic modelling at scale
BA or BS in Statistics