Chief Data Insights Specialist
2 days ago
We are seeking a highly skilled Data Analyst to support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.
Key Responsibilities:- Responsible for data mining, data preparation, and reporting.
- Prepare and conduct analyses and studies, needs/gaps assessments.
- Apply knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
- Document and summarize results and develop recommended solutions to customer's problems.
- Prepare big data, implement data models developed by others, and provide database support for customer solutions.
- Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.
- Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related quantitative or mathematical discipline.
- Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline.
- Knowledge of data mining methods, databases, data visualization, and machine learning.
- Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series.
- Experience implementing NLP concepts including preprocessing, TF-IDF, Named Entity Recognition, and LLMs.
- Ability to communicate analysis techniques, concepts, and products.
- Ability to develop data-driven analysis and reports based on data visualizations and data models.
- Strong SQL skills and ability to identify issues with data.
- Experience with Qlik, Tableau, PowerBI tools, and Databricks or similar cloud-based distributed database technologies.
- Understanding of database and database design.
- Demonstrated experience with cleaning, managing, optimizing performance, and processing large volumes of data.
- Demonstrated experience within an AWS environment and familiarity with industry best practices for software-hardware optimization when processing large sets of data.
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