Role Overview
We are looking for an experienced Data Analyst to join our team supporting U.S. Customs and Border Protection. 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.
What You Will Do
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.
Why It Might Be a Fit
Competitive Salary and Benefits. Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
Requirements
- Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other 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 (e.g., ARIMA)
- Experience implementing NLP concepts including preprocessing (stemming, etc.), 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.
- Experience with Tableau.
- Experience with PowerBI tools.
- Familiarity with Databricks or similar cloud-based distributed database technologies
- Understanding of database and database design
- Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
- Demonstrated experience within an AWS environment (AWS certifications preferred)
- Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
- Ability to travel to and work on site at clients as needed.
- Excellent communication skills both verbal and written.
Benefits
- Competitive Salary
- Benefits
- Company Stock Ownership
- PTO policies
- Parental leave
- Bereavement leave
- Flexible time off
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