Data Analyst 4

Job Title: Data Analyst 4
Job Location: Remote
Job Duration: 12 Months on W2

Job Description: We are seeking a skilled Data Analyst to join our team, with a focus on supporting and building data products in the Product Supply Chain domain.

Key Responsibilities:

• Analyze complex business problems using data from internal and external sources, providing insights to inform decision-making

• Identify and interpret trends and patterns in datasets to inform business strategy

• Create specifications (Source to Target Mapping) for data products, reports, and analysis based on business needs and available data elements

• Collaborate with stakeholders to understand requirements and create the data flow and model for building sustainable data products

• Document and communicate system and analytics changes to the business, translating complex functionality into business-relevant language

• Validate key performance indicators and build queries to measure business performance

• Develop data governance standards from data ingestion to product dictionaries and documentation

• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs

• Use data mining and statistical analysis to extract insights from datasets and identify correlations and patterns

• Monitor data quality and provide recommendations to remove corrupt data

• Work independently and take initiative to identify, explore, and solve problems

Requirements:

• Strong analytical and problem-solving skills

• Ability to communicate complex data insights to non-technical stakeholders

• Experience with data governance, data quality, and data validation

• Highly proficient in SQL and data visualization tools

• Experience with Data modeling techniques (Snowflake schema, Star schema, etc.) and building models

• Experience with data mining and statistical analysis

• Ability to work independently and take initiative to identify and solve problems

• Ability to work within a highly matrixed organization and across data domains

Nice to Have:

• Experience with data product development and data architecture

• Knowledge of standard methodologies in reporting and analysis, such as data integrity, unit testing, and data quality control

• Experience with high-volume data processing and big data technologies

• Knowledge of supply chain data

• Experience with Python and Spark

• Certification in data analysis or a related field, Databricks preferred