Data Analyst; Remote
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2026-03-01
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IT/Tech
Data Analyst, Data Scientist, Data Engineer, Data Science Manager
Overview
Job Title:
Data Analyst.
Work 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.
- 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 the results and develop and recommend solutions to the 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. 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 analyses 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 Power
BI tools. - Familiarity with 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 (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.
- 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.
- 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. - Remote Work: in an industry of declining remote work opportunities.
- People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement.
- Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our…
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