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Data Analyst

Perfict

Role overview

Qualifications

  • Bachelor's degree required (Master's or PhD preferred)
  • 5+ years of direct related experience
  • Strong SQL AND Python required
  • Deep understanding of data structures

Responsibilities

  • Understand how data is structured, stored, and consumed
  • Ensure data quality, lineage, and consistency
  • Make data usable, reliable, and interpretable for analytics teams
  • Conduct exploratory data analysis

Key facts

  • Remote from: California (USA), Colorado (USA), District of Columbia (USA), Georgia (USA), Maryland (USA), Oregon (USA), Virginia (USA), Washington (USA), Anywhere
  • Fixed term
  • Senior (5-10 years)
  • Data Analyst
    • 0
  • English

Hard skills

SQL (Programming Language) Python (Programming Language) Data Structures Exploratory Data Analysis Data Quality Data Lineage Business Intelligence Data Manipulation Data Validation Data Consistency Data Discovery Power BI

Other skills

  • Data Reporting

About the company

Perfict logo

Perfict

Human Resources, Staffing & Recruiting

Perfict Global is an IT consulting services provider, focused on providing innovative and successful business workforce solutions. Providing specialized staffing and recruitment solutions for our clients, we have quickly become the technology specialist staffing and Recruitment Company of choice for many employers across the US. Our talented team of recruitment professionals serve as more than just a supplier to our customers, we act as a trusted business partner and work as an extension of our client's internal teams, offering the following solutions: • Temporary Staffing • Temp-to-permanent Placements • Permanent Recruitment • Specialized Executive Search

Company details

Company typeScaleup
IndustryHuman Resources, Staffing & Recruiting
Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

Job Title : Data Analyst
Location : Remote

Bachelor's degree required (Master's or PhD preferred)
  • 5+ years of direct related experience
  • Strong SQL AND Python required (SQL and Python assessment will be required)
  • Must have deep understanding of DATA STRUCTURES - understand how data is structured, stored and consumed so analytics and downstream reporting don't break (how and why of the data vs someone focused on modeling techniques):
  • -Data shape, structure, relationships
  • -Data quality, lineage, consistency
  • -Making data usable, reliable and interpretable for analytics teams, BI or the business
  • Standard data science skills; must have exploratory data analysis experience
  • BI tools experience - highly preferred Power BI
  • Data manipulation and reporting
  • Data validation, reconciliation, and exploration - must be interested in doing heavy hands on data work + analytics

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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