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Elder Research

Data Analyst (Remote)

Reposted 17 Days Ago
In-Office or Remote
Hiring Remotely in Charlottesville, VA
Mid level
In-Office or Remote
Hiring Remotely in Charlottesville, VA
Mid level
The Data Analyst will conduct data mining, analyses, and reporting, support client applications, and work within a data science project team.
The summary above was generated by AI

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.

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.

Why apply to this position at Elder Research?

  1. Competitive Salary and Benefits

  2. Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States.

  3. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.

  4. Remote Work: in an industry of declining remote work opportunities.

  5. People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement.

  6. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

About Elder Research, Inc

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 clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.

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