Remote Data Analyst: Insights & Dashboards Specialist

Kreative Technologies, LLC

Virginia

Hybrid

USD 60,000 - 67,000

Full time

13 days ago
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Job summary

Kreative Technologies is seeking a Data Analyst to collect, analyze, and report on data that supports client programs. You will turn raw data into clear findings, reports and visuals that help leaders make decisions.

The ideal candidate is curious, accurate and able to explain numbers in plain language. You should be comfortable with large data sets and several data sources. This is a remote, full-time role with responsibilities across data extraction, validation and reporting.

Qualifications

  • 2+ years of data analysis experience.
  • Strong SQL skills and experience with relational databases.
  • Proficient with Excel and at least one reporting tool such as Power BI, Tableau or BusinessObjects.
  • Strong analytical and problem-solving skills. Strong written and verbal communication skills.
  • Ability to work independently in a remote environment.
  • Continually required to use common office equipment including but not limited to computers, phones, scanners and printers.

Responsibilities

  • Extracts, cleans and validates data from databases and other sources.
  • Analyzes data to find trends, issues and opportunities.
  • Builds reports, dashboards and visualizations for stakeholders.
  • Writes SQL queries to support analysis and reporting.
  • Checks data quality and documents data definitions.
  • Presents findings and recommendations to technical and non-technical audiences.
  • Supports ad hoc data requests.
  • Performs other duties as assigned.

Skills

Data analysis
SQL
Excel
Power BI
Tableau
BusinessObjects
Python
R
Remote work
Communication

Education

Bachelor's degree in Information Technology or related field

Job description

Kreative Technologies is seeking a Data Analyst to collect, analyze, and report on data that supports client programs. You will turn raw data into clear findings, reports and visuals that help leaders make decisions.

The ideal candidate is curious, accurate and able to explain numbers in plain language. You should be comfortable with large data sets and several data sources. This is a remote, full-time role with responsibilities across data extraction, validation and reporting.

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