SENIOR CUSTOMER SEGMENT DATA ANALYST LEAD
In this role you will drive Customer Data Insights and Strategy for the eCommerce and direct to consumer in Europe and beyond. As part of the Customer Management team, you share objectives to improve customer acquisition, customer value, base monetization and brand consideration in the region and plays a critical role in the digital transformation journey.
Scope
eCommerce & Direct to Consumer data insights & customer strategy for acquisition efficiency, customer value development and brand engagement.
Customer data intelligence lead for customer management initiatives including consolidation of HP-owned sources, big data as well as integration of external data initiatives.
Collaborate with BI and data operations to secure single customer view analysis, creation of valuable customer data points and contact history across channels.
Ensure customer data platform and processes are suitable for customer data analytics.
Collaborate with campaign management, data operations and marketing automations to develop customer strategy propositions and execute them across touchpoints and channels.
Lead collaboration with predictive analytics to specify, operationalize and enhance models and respective deliverables.
Own EMEA KPIs measuring customer strategies and performance.
Required Experience
Typically minimum 12 years of experience developing data insights with emphasis on customer value and strategy.
Ecommerce and/or digital environment experience specifying and measuring customer strategies focused on improving customer acquisition, customer value, growth and or reducing customer attrition and churn.
Bachelor degree in Business administration, data analysis or similar is required. Master degree will be preferred.
Customer analytics expertise:
Pragmatic focus on customer level and incrementality analysis.
Experience on customer journey analysis across online and offline channels and touch-points with the consolidation of customer contact history by channels – Omnichannel approach.
Distinct customer segments behaviors, testing and reporting.
Identification of value levers across a wide range of data sources and creation of customer data points.
Contact channels analytics expertise:
Assessment of direct communication channels and touch points (onsite, push, in-app, SMS, digital advertising, call centers, sales reps, etc.).
Extensive experience elaborating clickstream data into customer journey analysis and insights.
Experience utilizing sources of unknown first party data into customer analytics and experience developing customer strategies for recognized and not recognized traffic.
Analysis of advertising spent, attribution, respective sequencing patterns and channels roles.
Overall Analytics & Management .
Experience managing analytics projects (concept, hypothesis, design and deliverables)
Experience managing internal and external analytics resources.
Master customer management and direct marketing principles. Master measurement of activities at customer level.
Technical Expertise : (complementary)
Analytics tools such as R, SAS, Python, Databricks, Spark
Databases and data mining – SQL, Postgres.
BI visualization tools for reporting and insights such as Tableau and Power BI.
Clickstream data and visualization tools (GA, Omniture)
About you:
You are an advocate of assessing performance at a customer level.
You are passionate to get hands on data and discover customer insights and value.
You are a strategic thinker with roll-up-the-sleeves attitude and obsessive approach to execution.
You take accountability and feel motivated with opportunity to get things done.
You are comfortable with complex matters, have a planned approach to analytics and can synthetize with ease.
You value an international dynamic environment, relationship with diverse stakeholders, partners and multidisciplinary teams.
Welcome to HP, an innovative US$50bi company which keeps reinventing itself and is #1 in most of its business areas.
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Equal Opportunity Employer (EEO):
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).