Decision Scientist
Globenet Consulting Corp
Job Description
Job Description
Benefits:
- Competitive salary
- Opportunity for advancement
- Training & development
- Influence product strategy, roadmap priorities, and investment decisions
- Work with large-scale data across cloud and on-premises environments
- Build AI-enabled analytics tools and self-service reporting capabilities
- Lead experimentation, forecasting, and product measurement initiatives
- Collaborate with cross-functional product, engineering, UX, and operations teams
- Analyze product, operational, transaction, and digital experience performance to identify trends, risks, root causes, and opportunities.
- Develop recommendations that influence product prioritization, roadmap planning, feature optimization, and investment decisions.
- Build analytical models, forecasts, scenario-planning tools, and opportunity-sizing assessments.
- Define key performance indicators and monitor product, operational, and business outcomes.
- Quantify business impact and measure return on investment for product initiatives.
- Define measurement strategies and success criteria for new products, features, and digital experiences.
- Design and evaluate A/B tests, pilots, and experiments.
- Measure adoption, engagement, conversion, transaction success, operational efficiency, and feature utilization.
- Create standardized product measurement frameworks across platforms and channels.
- Evaluate pilot results and provide recommendations for broader implementation.
- Build and maintain product health scorecards, performance dashboards, and automated reporting solutions.
- Develop AI-enabled and self-service analytics tools for product teams.
- Automate recurring analysis, monitoring, and reporting activities.
- Partner with data engineering and analytics teams to improve data quality, accessibility, and reporting capabilities.
- Enhance existing dashboards and data products based on evolving business needs.
- Lead analysis of complex and ambiguous business questions.
- Develop hypotheses, research approaches, measurement plans, and actionable recommendations.
- Translate technical analysis into clear business implications.
- Create executive-ready presentations covering performance, risks, opportunities, and recommended actions.
- Present findings to product leadership and senior executives.
- Promote best practices in decision science, experimentation, product analytics, and AI-enabled reporting.
- Bachelor’s degree in analytics, data science, statistics, economics, business, computer science, or a related field preferred.
- At least four years of experience in strategic analytics, product analytics, or decision support.
- At least five years of experience communicating analytical findings and producing detail-oriented deliverables.
- Advanced proficiency in SQL, Excel, Python, R, SAS, Tableau, or Power BI.
- Experience with Azure Data Lake Storage, Azure SQL Server, Oracle, AWS, on-premises systems, and web-based data sources.
- Experience performing exploratory data analysis, data cleansing, transformation, aggregation, and large-scale data manipulation.
- Knowledge of experimental design, A/B testing, forecasting, and scenario planning.
- Ability to explain complex technical findings to non-technical audiences.
- Strong business acumen and understanding of operational and digital product processes.
- Azure
- Oracle
- SQL Server
- Python, R, and SAS
- Tableau or Power BI
- Microsoft Office Suite
- Smartsheet
Success may be measured through digital experience performance, order-entry speed, error rates, adoption, engagement, cart completion, checkout success, payment speed, transaction reliability, order accuracy, throughput, peak-hour performance, feature utilization, and satisfaction indicators. Ready to make an impact? Apply now and join us on our journey!
Vacancy posted 26 days ago
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