Consultant

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Employment Type: Full time

Experience: 07- 10 years

Key Responsibilities:

• Lead and develop the strategy for reporting, testing, analyzing, and forecasting business performance across key Marketing Channels including Customer Relationship Management (Email, Push Notifications), Direct Mail, & Promotions.
• Identify and provide both tactical ad hoc insights and a strategic ongoing roadmap of deep analytics
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
• Lead Marketing Channel analytics through advanced analytics techniques such as multi-touch attribution, marginal ROAS, experimentation, etc. with the goal of helping the organization understand the best way to drive incremental sales
• Participate in customer segmentation analysis, including acquisition and retention, CAC (Customer Acquisition Cost), and LTV (Lifetime Value) measurement
• Create reusable objects & templates & ensure that a consistent library or approach is applied across the product.
• Build tools and lead training to enable Marketers to adopt an analytical mindset for their daily business decisions.
• Partner with the Data Engineering & Measurement teams to define data architecture and in-house tool requirements, ensure complete tagging and tracking of assets and campaigns, and to design actionable testing scenarios.
• Partner with Data Science/Machine Learning Team to develop AI techniques to optimize business performance.

Must have:

• 7+ years of experience in data analysis or an analytical capacity
• 3+ years of experience in Marketing Analytics, Customer Analytics, Promotions Analytics, and/or Customer Relationship Management (CRM)
• 2+ years of experience leading cross functional teams and influencing Marketing, Finance, Business Operations, and Engineering.
• Proficient SQL programming skills with an understanding of database capabilities and experience of integrating, structuring, and analyzing large amounts of data from diverse sources.
• Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions
• Experience with statistical concepts and knowledge of Test/Control methodologies
• Expert level understanding of Microsoft Office suite especially Excel and PowerPoint
• Strong analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes
• Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.
• You can communicate technical material to a range of audiences and to ‘tell a story’ that provides insight into the business
• You embrace tackling complex problems with a high degree of ambiguity.
• Travel 10-20% of the time mainly to Hoboken, NJ and Bentonville, AR

Desired Skills:

• MBA or Master’s Degree in Mathematics, Statistics or a related technical field
• Background in Digital Marketing Analytics, Retail and/or eCommerce
• Experience with A/B and Multivariate test design and implementation
• Retail and/or eCommerce industry experience in a heavily data-driven environment preferred
• Working knowledge of CRM systems, ESPs (Email Service Providers), and Push Notification systems
• Working knowledge of Promotions (eg. Rebates, %/$ Off, etc.)
• Experience using an enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
• Preference will be given to candidates with a working understanding of attribution and the differences between rules-based last click attribution versus algorithmic multi-touch attribution. Additionally, experience with Media Mix Modeling is a plus.
• You have a passion for working in a fast-paced agile environment.