Job Title: Data AnalystWork Location: Remote (preference for candidates located in the National Capital Region - DMV)
Clearance Required:TS or
CBP BI or
DHS Suitability (clearance adjudicated within the past 4 years)
Position 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.
Role Responsibilities: - 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.
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. At least two (2) years of experience applied data science research or big data analytics.
- Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master's degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience.
- 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.
Preferred Experience and Skills: - Expertise with Qlik.
- Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics.
- Experience with Hadoop, Spark or other parallel storage/computing processes.
