Data Analyst

  • Tysons, VA
  • Posted 6 hours ago | Updated 6 hours ago

Overview

On Site
Contract - W2

Skills

Conflict Resolution
Problem Solving
Reporting
Sourcing
Documentation
Dashboard
Microsoft Power BI
Tableau
IBM Cognos Analytics
Analytics
Visual Basic
VBA
Data Analysis
IBM Lotus Domino
Databricks
Analytical Skill
SQL
R
Python
SAS
SPSS
Data Manipulation
Advanced Analytics
Presentations
Prototyping
Data Quality
Research
Data Integrity
DICE

Job Details

Job Summary
We are looking for a professional with strong problem solving and data analytics talent and experience to join our Reporting team. As a Data Analyst, you will leverage analytic and technical skills to design, build, and maintain well-managed data solutions and capabilities which address business problems and help regulatory staff make better informed decisions.

Executing analytics projects including non-analytical tasks, such as data sourcing, documentation etc.
Translating complex business sets and membership data into meaningful dashboards and insights, leveraging tools such as Microsoft PowerBI, Tableau, Cognos Analytics, Visual Basic for Applications (VBA),etc.
Use of data analytics processing tools such as Dataiku, Domino, and Databricks
Accessing and compiling large volumes of custom and syndicated data from disparate sources into concise and precise information
Developing process maps for complex business functions and documenting business requirements to support project needs
Leveraging existing data using analytical tools and languages (SQL, R, Python, SAS, or SPSS) to perform data manipulation and analysis
Designing and developing data-driven analysis using statistical & advanced analytics methodologies to solve business problems
Collaborating closely with developers to provide proofs of concept that can be converted into production-level applications
Presenting prototypes and learnings to stakeholders at all levels across the organization
Leveraging experience to ensure consistent data quality
Performing research to gain context and meaning of uncultivated data sets
Supporting the importance of data processes, data integrity and cleanliness, and the strategic use of data

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