12 days ago

Data Analyst

ECS

Hybrid
Full Time
$90,000
Hybrid

Job Overview

Job TitleData Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$90,000
LocationHybrid

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Job Description

Overview

ECS is seeking a Data Analyst to work remotely. This role supports an enterprise big data and analytics platform that ingests real-time data at extreme volumes and high velocity.

Responsibilities

The Data Analyst will work in two capacities:

  • Software Development Lifecycle: Provide input into data architecture design, analyze outputs for data quality, validate SIT and CAT results, and support production data validations.
  • Business Support: Triage user inquiries, query and analyze data to extract business insights.

Required Skills

  • 3-5+ years of experience
  • US Citizen or Green Card holder with ability to obtain a Public Trust clearance
  • Detail oriented with strong analytical and problem-solving skills
  • Proficient in SQL or other structured query languages
  • Mastery of MS Office Suite (Visio, Excel, PowerPoint)
  • Excellent written and verbal communication skills
  • Team player with the ability to prioritize and multi-task in a fast-paced environment

Desired Skills

  • Experience with NoSQL data platforms (e.g., Hadoop/Hive)
  • Familiarity with Avro schema and Postal/mailing industry data

General Benefits

This role includes competitive benefits along with the chance to work with emerging data technologies in a federal support environment.

Key skills/competency

  • Data Analysis
  • SQL
  • Data Visualization
  • Data Mining
  • Problem Solving
  • Big Data
  • NoSQL
  • MS Office
  • Analytical Skills
  • Communication

Tags:

Data Analyst
SQL
Data Mining
Data Visualization
Big Data
NoSQL
Analytics
MS Office
Clearance
Remote Work
3-5 Years
US Federal

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How to Get Hired at ECS

  • Customize your resume: Highlight relevant data analysis and SQL experience.
  • Research ECS: Understand their federal technology service background.
  • Emphasize key skills: Data mining, visualization, big data handling.
  • Prepare examples: Showcase past accomplishments with real metrics.

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