Data Analyst

Elder Research, Inc
Arlington, VA, United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Databases Information Engineering Data Visualization Database Design Python (Programming Language) Power BI Standard Sql SQL Databases Tableau (Software) Unstructured Data
+2 more
Information Technology Data Management

Job description

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients. Some of your responsibilities will include: consulting with technical and non-technical stakeholders, exploring and analyzing large structured, semi-structured and unstructured datasets using SQL and/or Python, developing and deploying data visualization dashboards, and communicating data analysis results, dashboards and reports to end-users

Requirements

  • Experience with cleaning, management and processing large volumes of data.
  • Experience building dashboards and reports using data visualization tools including Power BI, and Tableau.
  • Strong analytical and problem-solving skills with the ability to identify and address complex data issues.
  • Work closely with cross-functional teams to gather requirements, understand business needs and to build towards technical solution or capability.
  • Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels., * Strong analytical and problem-solving skills with the ability to identify and address complex data issues.
  • 2+ years of Data Analysis or Data Management experience.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • Clearance Required
  • Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data.
  • Understanding of databases and familiarity with database design.

Preferred Qualifications:

  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Ideally located in the DC Metro area to attend regularly scheduled meetings
  • Statistical/Predictive Analysis
  • Domain Expertise (fraud) or management

Clearance Requirements:

  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:

  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

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