200+ applicants

Company

Elder Research · 1 day ago

Data Analyst

United States

Full-time

Remote

Mid Level

4+ years exp

Maximize your interview chances

AnalyticsConsulting

Growth Opportunities

No H1B

Security Clearance Required

Insider Connection @Elder Research

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceBig Data AnalyticsMachine LearningSQLData VisualizationData MiningApplied MathematicsStatisticsData ModelsAWSQlikPowerBIDatabase DesignHadoopSparkGeospatial AnalyticsTime-Series ForecastingData CleaningData ManagementSoftware-Hardware Optimization

Required

Recently adjudicated Top Secret Clearance.

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.

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 PowerBI tools.

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.