Data Science Product Manager

Key Skills

DOMO, Python Programming, R Programming, SAP, SQL, Tableau

Job Description

We are looking for an Advanced Analytics Manager who will support our cross-functional business teams. The ideal candidate must be commercially minded to understand business challenges or growth strategies. They must have extensive, hands-on experience with computer coding and statistics to help answer business questions. With strong communication skills, they must be able to communicate technical concepts to a variety of people including non-technical audiences. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Principal Responsibilities:

• Lead the development and implementation of data models and algorithms to address business challenges using computer code, statistics and business acumen.
• Serve as analytics translator to business decision makers.
• Leverage data visualization platforms (e.g. Tableau, Data Studio) to simplify & automate data sharing.
• Identify data needs, business questions and business use cases for data driven business solutions through collaboration with the cross-functional team.
• Manage analytics or insight projects internally and with vendors including the dissemination of results to key stakeholders. Evaluate external partners across different dimensions for analytics initiatives.
• Lead development and implementation the Analytics Roadmap for Hill’s Canada by leveraging the Global Commercial Analytics strategy and local business requirements.
• Clearly and dynamically translate information into impactful insights to technical and non-technical audiences including customers.
• Develop relationships with regional & global counterparts in order to share best practice and apply learning.
• Have the curiosity to take ambiguous problems and tackle them to achieve hypothesis-driven results.
• Ability to balance multiple projects at once and deliver projects independently.

Requirements:

• Bachelor's degree in Finance, Statistics, Computer science, Business or related fields
• Deep experience in applied data analytics and computer programming
• Professional experience leading teams
• Relevant work experience in Sales/Marketing
• Experience with sales and/or marketing analytics and data modeling techniques
• Commercial experience in sales or marketing to have an understanding of data requirements and reporting needs
• Deep experience with SQL, Python and/or R for data manipulation and building models

It is a plus:

• Master's degree in Business or Quantitative Field
• Understanding of data architecture and data engineering
• Practical experience using data visualization and/or BI tools (e.g., Domo, Tableau, Google Data Studio) to analyze data
• Demonstrated understanding of marketing analytics concepts, including marketing mix
  modeling, churn risk prediction, and customer lifetime value
• Familiarity with SAP systems (ECC, C4C)