13 days ago

Data Analyst

Remote Leverage

Hybrid
Full Time
$28,800
Hybrid

Job Overview

Job TitleData Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$28,800
LocationHybrid

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Job Description

About Data Analyst

Remote Leverage is hiring multiple remote Data Analysts immediately. You will work directly with businesses, providing accurate and timely information on core business functions.

Responsibilities

  • Provide accurate and timely information on core business functions to stakeholders.
  • Track vacancies filled and clients served.
  • Analyze marketing advertisement effectiveness in generating leads.
  • Extract data from various business sources such as CRMs, ATS, Hubspot, QuickBooks, and Stripe.
  • Transform data into user-friendly formats such as spreadsheets, reports, and dashboards.

Required Skills and Tools

  • Python (Intermediate): Hands-on experience, maintain and extend codebases including ETL pipelines and dashboards built with PlotlyDash.
  • SQL/BigQuery: Experience querying and updating analytical data using SQL and familiarity with Google BigQuery or similar databases.
  • Git/GitHub: Working knowledge of Git workflows including push, pull, branches, and issues to collaborate on a shared codebase.
  • Google Cloud Platform (GCP): Proven experience with GCP services.

Qualifications

  • 3+ years as a Data Analyst or in a similar role.
  • Fluent English, both verbal and written.
  • Stable internet connection, laptop, and headset.
  • Energetic, upbeat, team player willing to listen and improve.

Key Skills/Competency

  • Data Analysis
  • Python
  • SQL
  • BigQuery
  • GCP
  • ETL
  • Dashboards
  • Git
  • CRMs
  • Problem-solving

Tags:

Data Analyst
Python
SQL
BigQuery
GCP
GitHub
ETL
dashboards
CRMs
remote work
data analysis
marketing analysis
data extraction
problem-solving
Python coding
SQL querying
GCP experience
remote

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How to Get Hired at Remote Leverage

  • Research Remote Leverage's culture: Understand their mission and remote hiring model.
  • Customize your resume: Highlight Python, SQL, and data skills.
  • Showcase project experience: Emphasize ETL pipelines and dashboards.
  • Prepare for technical interviews: Practice coding and SQL queries.

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