Job Description
Role - Decision Science Analyst
Experience Required - 8+ Years
Must Have Technical/Functional Skills
This role provides analytics and data-quality support for Member and Channel initiatives by translating business requirements into validated data assets, test coverage, and actionable insights. The Decision Analyst partners with business stakeholders, IT/data engineering, and QA to ensure data accuracy, traceability, and alignment of reporting requirements to the final delivered datasets.
Snowflake(Cortex Analyst & CoCo), Python, SQL are mandatory with good domain knowledge of Customer 360 (Member Data & Channel initiatives)
Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts.
Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy. Snowflake cortex, Alation, A/B testing, Hypothesis Testing stakeholders
Roles & Responsibilities
Analyze large datasets to identify trends and insights
Build statistical and machine learning models
Translate business problems into analytical solutions
Create dashboards and reports for stakeholders
Support decision-making with data-driven recommendations
Collaborate with business and technical teams
Generic Managerial Skills, If any
Leadership & team coordination
Stakeholder management
Communication & presentation skills
Problem-solving & decision-making
Time management & prioritization
Project delivery & accountability