What are the responsibilities and job description for the Data Scientist position at Integrated Resources, Inc ( IRI )?
Lead to the accomplishment of key goals across the Global Tech (GT) Business Operations and Enablement (BOE) analytics functions. This role will be reporting to the Lead Analyst of the Enterprise Architecture and Developer Platform (EADP) BOE Reporting and Analytics. The critical need is the development and maintenance of a GT wide automated auditing platform for Labor and Finance data using a combination of Python and SQL.
Work with key stakeholders across GT to understand requirements, develop sustainable data solutions, and provide insights and recommendations. Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
Validate key performance indicators and build queries to quantitatively measure business performance. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers. Develop data governance standards from data ingestion to product dictionaries and documentation. Develop SQL queries and data visualizations using Tableau to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax. Organize and transform information into comprehensible structures.
Use data to predict trends and perform statistical analysis. Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows. Build and deliver scalable data and analytics solutions.
Work independently and take initiative to identify, explore and solve problems. Design and build innovative data and analytics solutions to support key decisions. Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.
Key Requirements
Work with key stakeholders across GT to understand requirements, develop sustainable data solutions, and provide insights and recommendations. Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
Validate key performance indicators and build queries to quantitatively measure business performance. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers. Develop data governance standards from data ingestion to product dictionaries and documentation. Develop SQL queries and data visualizations using Tableau to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax. Organize and transform information into comprehensible structures.
Use data to predict trends and perform statistical analysis. Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows. Build and deliver scalable data and analytics solutions.
Work independently and take initiative to identify, explore and solve problems. Design and build innovative data and analytics solutions to support key decisions. Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.
Key Requirements
- Bachelors Degree in Computer Science, Statistics, Mathematics, Business Administration, or related field and minimum of 1-4 years directly relevant work experience (PhD or Masters 0-3 years of experience preferred)
- Proficiency in programming languages such as Python, R, or SQL
- Experience in developing and maintaining advanced and automated data cleansing and auditing tools
- Strong Excel and math skills (advanced academic level)
- Strong analytical skills and attention to detail
- Experience with data visualization tools like Tableau or Power BI
- Knowledge of machine learning algorithms and statistical modeling
- Excellent communication and teamwork skills
- Ability to work with large datasets and databases
- Experience in Tableau or other data visualization tool
- Experience in AWS RDS or MySQL usage
- Experience in Databricks usage
- Experience in developing PowerPoint presentations
- Experience in using Confluence and Jira
- Experience in developing pipelines for data ingestion
- Experience in using GitHub and CoPilot
- Experience in navigating a complex, matrix corporate structure
- Passion for the Client Inc Brand
