Insights Architect

• Develop and implement scalable and reliable analytics, tools, KPI dashboards, for the Global Corporate Marketing and Sales Enablement functions to improve insights and productivity.
• Thinking strategically, creating technical definition around customer objectives in complex situations, developing solution strategies, motivate & mobilize resources, and deliver results.
• Interface with business customers, gathering requirements and delivering complete data products (datasets, visualization and more)
• Oversee the development of analytical solutions in the data mart and shepherd the design review process, allowing assets to move into the enterprise catalog.
• Design and implement data quality processes across our software systems and highlight opportunities for improvement.
• Guide architecture design review process to drive ongoing improvement efforts.
• Partner with IT systems owners, Enterprise Architecture data owners, & Marketing ops business process owners to augment the planning, prioritization, & alignment on critical initiatives.
• Collaborate with data engineering to design data standards and architectures that support the business organizations.
• Architect and design analytical solutions that meet the requirements of business end users.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Use business data & statistical methods to provide insight into business performance and suggest areas and methods of improving operations.
• Participate in strategic & tactical planning discussions.
• Practice good data and reporting governance & help improve overall master data integrity.
• Demonstrating stakeholder management skills with the ability to work well with a cross-functional and geographically dispersed team and customer base.

Skills & Experience:

• Bachelor's degree in engineering, mathematics, computer science, data science, statistics, finance, or a similar quantitative field.
• 5+ years’ experience in Business Analytics, Data Science, Software Development, or related field with a proven track record of manipulating, processing, and extracting value from large datasets.
• 5+ years’ experience using data warehouse solutions and databases (using tools such as SQL, PL/SQL, MDX, etc.) Strong SQL skills, ability to perform optimized querying involving multiple tables and subqueries.
• 4+ years’ experience using business intelligence reporting tools (such as Tableau, Alteryx, PowerBI, etc.)
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business teams.
• Experience working with business system requirements and building solutions.
• Experience gathering/documenting business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.
• Strong project management and organizational skills required (agile projects), including a thorough understanding of how to interpret customer business needs and translate them into technical solutions.
• Ability to effectively prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion.
• Intellectual curiosity with a strong passion for continuous improvement and process automation. Strong problem-solving, quantitative, and analytical abilities; Solution-oriented.
• Excellent written and verbal communication skills.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks is a plus