Data Analyst

Yesterday

🦀 Maryland – Remote

Although this job is listed in Maryland, this company may be open to hiring remote in other states.

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

+1 more states

🦀 Maryland – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Elder Research

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Elder Research is a data analytics company that specializes in crafting innovative analytics solutions to inform decision-making and transform organizations. With nearly 30 years of expertise, they provide services such as data strategy, analytics delivery, and workforce training across various industries, including healthcare, financial services, and government. Their comprehensive approach integrates advanced methodologies to address complex business challenges and deliver actionable insights.

Model construction • text mining • predictive analytics • sentiment analysis • data science

51 - 200 employees

Founded 1995

📋 Description

• Work Location: Remote, with a preference of physical location being in the DMV Area. • Elder Research Inc. is a recognized leader in predictive analytics and machine learning. • Responsibilities include wrangling and fusing large and disparate data sets, assisting in deployment of models and algorithms, automating data pipeline, and communicating results through data visualizations. • Responsible for data mining, data preparation, and reporting.

🎯 Requirements

• 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. • Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics is preferred. • Experience with Hadoop, Spark or other parallel storage/computing processes is a plus. • Ability to travel to and work on site at clients as needed. • Excellent communication skills both verbal and written.