13 days ago
Python Developer Data Analysis Focus
Remote Leverage
Hybrid
Full Time
$21,000
Hybrid
Job Overview
Job TitlePython Developer Data Analysis Focus
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$21,000
LocationHybrid
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Job Description
Python Developer Data Analysis Focus
Remote Leverage is hiring multiple REMOTE Python Developer Data Analysis Focus positions immediately. This role involves working directly with US businesses to analyze data and provide insightful reports.
Responsibilities
- Provide accurate, 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 including CRMs, ATS, Hubspot, QuickBooks, and Stripe.
- Transform data into user-friendly formats such as spreadsheets, reports, and dashboards.
Required Skills and Tools
- Intermediate Python with experience in maintaining and extending codebases (ETL pipelines, notebooks, Plotly Dash dashboards).
- Proficient in SQL and BigQuery or similar analytical databases.
- Experience with Git/GitHub workflows and collaborative codebase management.
- Proven experience with Google Cloud Platform (GCP).
Qualifications
- 2–4+ years professional experience in Python in a data or backend role.
- Experience maintaining and improving existing codebases.
- Strong understanding of ETL concepts and multi-source data integration.
- Comfortable with SQL-based analytical databases and ensuring data correctness.
- Familiarity with cloud-based infrastructure, especially GCP.
- Experience using Git/GitHub in a collaborative environment.
- Fluent English and reliable remote working setup.
- Energetic, team player, and receptive to feedback.
Interested? Hiring immediately. Apply now!
Key skills/competency
Python, Data Analysis, ETL, SQL, BigQuery, GCP, Git, Remote, CRMs, Dashboards
How to Get Hired at Remote Leverage
- Research Remote Leverage's culture: Explore their mission and employee reviews.
- Customize your resume: Highlight Python and data analysis experience.
- Apply online: Follow clear application instructions.
- Prepare for technical interviews: Practice Python and SQL questions.
- Follow up: Email your query to the hiring manager.
Frequently Asked Questions
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