Decision Science Analyst II - Customer Data

Job Summary: As a Decision Science Analyst, you'll extract, explore, validate, and cleanse data using advanced coding techniques. You'll design and apply analytical and statistical models to segment, describe, and understand our customers and their purchasing habits and proclivities. You'll serve as a strategic thought Partner, providing perspective and recommendations to solve business challenges., o Using coding techniques (predominately SQL and Python), aggregates billions of data records to measure customer behavior changes in multiple dimensions (e.g., customer count and value, frequency of purchase, average purchase size, ROI), The responsibilities and essential functions outlined above describe the general nature and level of work assigned to this position. This is not an exhaustive list of all duties, responsibilities, and skills required. Duties and responsibilities may be modified at any time based on business needs. Employees may be required to perform other job-related tasks as requested by their supervisor, subject to reasonable accommodations.

Do you have experience in Research findings presentation?, * 3 years of relevant experience , preferably in retail / other consumer-facing industry

• Expertise in business domain
• Experience in programming languages (R , Python (PySpark experience a plus) ,SQL)
• Experience in relational databases such as Teradata, Oracle, and big data platforms
• Experience in data extraction, cleansing, validating, and curating

Knowledge/Skills/Abilities:

• Working knowledge of typical data science techniques (e.g., classification, regression, and optimization)
• Strong working understanding of data exploration, applying analytical tools, and how to advise business stakeholders
• Familiarity with big data ecosystems (Databricks, Spark, etc.), relational DBs, SQL, business intelligence and visualization tools (Tableau or MicroStrategy, etc.)
• Strong research and analytical skills
• Strong critical and lateral thinking skills, Verbal / written communication and presentation skills
• Mentoring / coaching skills
• Ability to lead projects
• Ability to turn data into actionable recommendations (vs. just reporting data)
• Ability to solve ambiguous, unstructured problems
• Ability to present / explain deliverables to non-technical stakeholders
• Ability to work within a cross-functional, team-driven structure

Education:

• A related degree or comparable formal training, certification, or work experience, * Thrive in a fast-paced retail environment with rapidly shifting market-driven priorities