Senior Front-End Engineer – Marketing Analytics
- Location SAN BRUNO, CA
- Career Area Software Development and Engineering
- Job Function Software Development and Engineering
- Employment Type -
- Position Type -
- Requisition 1083201BR
What you'll do at
•Provide UI/UX design and front-end web development that enables easy access and intuitive presentation of complex data.
•Analyze and recommend best in class front-end tools for various use cases.
•Create and maintain a robust data pipeline to support Marketing Vehicle performance, Category performance, Customer cohort activity, and Financial Plan/Forecast reporting.
•Lead the vision and secure support for a common data lake initiative, including defining use cases and capturing business requirements.
•Define taxonomy, data flow, and data formatting for various internal and external partners.
•Work with machine learning/data science team on implementation of data with AI models.
•Provide data architecture that is flexible, scalable, and consistent for cross-functional use, and aligned to stakeholder business requirements.
•Deliver the tools for ongoing and accurate reporting of KPIs for Weekly Business Review reporting.
•Publish KPI definitions and ensure they are consistent with Marketing Analytics, Marketing Finance, and Retail Operations expectations.
•Collect and be responsible for the accuracy of all data to be used in several ROAS models, including MM (Marketing Mix) and MTA (Multi Touch Attribution).
•Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
•Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies. Create data tools for BI and data science team members that assist them in accessing and leveraging all key data in real time.
•Provide analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics, including campaign and category performance, marketing vehicle performance, customer funnel metrics, and operational efficiency.
•Define SLA and acceptable time lags by data source, define QA process, and socialize resolution process to ensure data accuracy and consistency.
•BA/BS Degree in Computer Science, Statistics, Information Systems or another quantitative field.
-Experience with big data tools
-Experience with relational SQL and NoSQL databases
-Disciplined practitioner of the latest tagging and tracking techniques, including working knowledge of channel-specific challenges.
-Experience with data pipeline and workflow management tools
-Experience with various cloud services.
-Experience with object-oriented languages.
•Experience working across various internal stakeholders including Marketing, Finance, and Engineering. Strong skills in communicating technical material to range of audiences.
•Experience with organizing and presenting Customer Cohort data used in LTV analysis.
•Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
•Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
•Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
•Strong analytic skills related to working with unstructured datasets.
•Build processes supporting data transformation, data structures, metadata, and worklA successful history of building reporting and analysis tools that have been widely adopted within an organization to make key decisions.
•Strong project management and organizational skills.
•Experience supporting and working with cross-functional teams in a dynamic environment.
•Experience with full spectrum of Marketing channel data, including Mobile, Social, Email, SEM, SEO, Affiliates, and offline channels like TV and print.
•Strong analytical and quantitative skills and ability to translate findings into actions that align to the needs of the business.
•Strong organizational skills, with the ability to effectively manage projects, communicate effectively, and be a self-starter.
•Demonstrated thought leadership and relationship building/management with internal stakeholders and external partners.
•Experience with end-user focused data visualization tools such as Tableau, Thoughtspot, Looker and Domo.
•Omni-channel Retail experience.
•Experience and passion for working in a fast-paced agile environment.
Hello, Silicon Valley
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Golden Gate Cemetery
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All the benefits you need for you and your family
- Multiple health plan options
- Vision & dental plans for you & dependents
- Associate discounts in-store and online
- Financial benefits including 401(k), stock purchase plans and more
- Education assistance for Associate and dependents