
Advanced Data Insights Specialist
1 day ago
We are seeking an experienced Data Analyst to join our team. As a Data Analyst, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.
- Responsible for data mining, data preparation, and reporting.
- Prepare and conduct analyses and studies, needs/gaps assessments.
- Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
- Documents and summarizes the results and develops and recommended solutions to the customer's problems.
- Prepares big data, implements data models developed by others, and provides 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.
- Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline.
- 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.
- Knowledge of data mining methods, databases, data visualization, and machine learning.
- Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA).
- Ability to communicate analysis techniques, concepts, and products.
- Strong SQL skills, and ability to identify issues with data.
- Experience with Qlik, Tableau, and PowerBI tools.
- Demonstrated experience within an AWS environment (AWS certifications preferred).
- Familiarity with industry best practices for software-hardware optimization when processing large sets of data.
- Expertise with Qlik.
- Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics.
- Opportunity to work on various data science projects.
- Chance to develop and apply new skills.
- Collaborative and dynamic work environment.
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