Data Analytics Senior Consultant I
New
USFull-TimeSenior
Salary70,100 - 121,475 USD per year
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Job Details
- Experience
- 2+ years
- Required Skills
- PythonSQLBusiness IntelligenceMicrosoft ExcelData visualization
Requirements
- 2+ years of hands-on experience in data analytics, reporting, or predictive modeling environments.
- Strong proficiency in Python for data analysis, workflow development, feature engineering, and model building.
- Advanced SQL skills, including joins, aggregations, window functions, and complex querying.
- Experience working with large and complex datasets in enterprise or production environments.
- Solid understanding of forecasting concepts, demand planning, or capacity modeling (preferred).
- Experience troubleshooting, debugging, and optimizing analytical workflows and data pipelines.
- Strong knowledge of data visualization, reporting tools, and business intelligence practices.
- Advanced Excel skills, with the ability to build complex formulas and perform structured analysis.
- Strong communication skills with the ability to explain technical findings to non-technical stakeholders.
- Excellent organization, time management, and collaboration skills in virtual team environments.
Responsibilities
- Develop, maintain, and enhance predictive models and forecasting tools supporting claims demand and capacity planning.
- Build and support Python-based workflows for forecasting, reporting, automation, and scalable analytics solutions.
- Query, clean, and transform large datasets using Python and SQL to create reliable analytical and feature-ready datasets.
- Perform data validation, reconciliation, and anomaly detection to ensure accuracy and integrity of outputs.
- Automate manual reporting and spreadsheet-based processes to improve efficiency and scalability.
- Translate business needs into analytical solutions and deliver clear insights to stakeholders and product teams.
- Design and implement improvements in forecasting methodologies and operational analytical processes.
- Support knowledge sharing and cross-training to strengthen team capability and analytical consistency.
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