Sr. Manager/Associate Director
Found in: Resume Library US A2 - 2 weeks ago
Responsibilities
Work on the latest applications of data science to solve business problems in the Omni Channel, Direct to Consumer (DCOM) space.
Conduct solution and requirement workshops involving business and analytics stakeholders.
Leverage DCOM best practices to define and design advanced analytics solutions.
Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
Ability to understand the business context by discussing existing data models with senior client leaders and deriving useful business insights.
Ability to break down a project into specific tasks involving business analysis, data science, and engineering.
Direct teams of business analysts to create data-driven solutions.
Architect data analytics frameworks and solutions to solve data-driven business problems.
Use Data Science, Machine Learning, Artificial Intelligence, and Operational Research techniques to develop data models.
Report the results and insights using business intelligence tools.
Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions.
Being able to communicate with and manage expectations across stakeholders effectively.
Requirements
8-12 years of professional work experience with at least 5 years in business data analytics in the Omni /DTC / DCOM space.
Prior experience working in the consumer goods / Retail/ Pet care industry.
Experience in leading E-commerce or marketing analytics programs.
Experience working with large data sets would be preferable (with an emphasis on business analysis problems).
Experience working with offshore teams.
Graduate in Business Analytics or MBA or equivalent work experience.
Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into a high-level analytics solution approach.
Strong project management and team management skills and ability to work with global teams.
Knowledge of statistical and machine learning algorithms
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
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