We are looking for a Lead Marketing Analyst to join our team as a 6 month contractor. At Blend our Data Scientists work with business leaders to solve our clients’ business challenges. We work with clients in marketing, revenue management, customer service, inventory management and many other aspects of modern business. Our Data Scientists have the business acumen to apply Data Science to many different business models and situations.
We expect the Data Scientists to be excellent communicators with the ability to describe complex concepts clearly and concisely. They should be able to work independently in gathering requirements, developing roadmaps, and delivering results.
• Understand client needs and customize existing business processes to meet client needs.
• Promptly address client concerns and professionally manage requests.
• Understand Marketing Programs, Define/Document Campaign Requirement and Execution Plan
• Audience Management: Prospect/Owner Data Consolidation
• Campaign Performance and Analytics: Reporting & Insight
• Predictive Models Implementation
• Ingestion of FICO Score
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation
• Assist client to deploy models and algorithms within their own architecture
• MS degree in Statistics, Math, Data Analytics, or a related quantitative field
• 3+ years Professional experience in Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
• Experience leading a team
• Experience analyzing campaign performance
• Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
• Experience with spark and data-frames in PySpark or Scala
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing.
• Comfortable with cloud-based platforms (AWS, Azure, Google)
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus
#LI-ST1
