Decision Scientist

Decision Scientist

Job Summary:

We are seeking a talented and dynamic Decision Scientist with strong expertise in Tableau and SQL to join our dynamic team. The candidate will leverage a mix of data engineering, analytics, dashboarding and storytelling to derive actionable insights and help improve customer experience across digital journeys.

Our ideal candidate is someone who is proficient at execution, adept at managing timelines and roadmaps and is constantly looking to innovate and automate to bring greater efficiencies and drive strong business outcomes

Key Responsibilities:

• Extract, process, and analyze large datasets from multiple sources to identify trends and patterns.
• Create and maintain visually compelling dashboards and reports using Tableau to present insights to stakeholders.
• Develop compelling presentations on Keynote to communicate strategic insights to leadership
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
• Perform exploratory data analysis (EDA) and apply statistical techniques for hypothesis testing.
• Optimize data models and enhance data processing pipelines for efficiency and scalability.
• Communicate findings clearly to both technical and non-technical audiences.
• Stay updated with the latest trends and advancements in data analytics and visualization.
• Identify growth opportunities in form of automation, new solutions, enhancements etc. and follow an agile approach to translate ideas into outcomes

Required Qualifications:

• Master’s degree in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience.
• Proven experience with data visualization and storytelling.
• Proficiency in Tableau for creating dashboards, reports, and data models.
• Strong skills in SQL for data extraction and manipulation, with a strong emphasis on self-driven and structured quality check process
• Familiarity with data integration tools and ETL processes.
• Excellent analytical, problem-solving, and communication skills.
• Excellent at cross-functional collaboration working with global teams, as well as independent execution and proactive management of timelines and dependencies
• (Strongly preferred) Experience with digital analytics (Adobe Workspace or Google Analytics)
• (Good to have) Hands-on experience with programming languages such as Python or R.
• (Good to have) Solid understanding of statistical methods and machine learning algorithms.