DATA ANALYST WITH TECH BACKGROUND (remote)

Role: DATA ANALYST WITH TECH BACKGROUND (remote)
Rate: $6/hour
Monday to Friday
Payday: Every Monday

Are you passionate about working with data, uncovering insights, and optimizing processes? Do you excel in transforming raw data into actionable business intelligence while contributing to a tech-savvy team? If you have a strong tech background and experience working with tools like Power BI and project management platforms, we want you on our team!


What You’ll Do:
- Data Management: Extract, clean, organize, and import raw data from various sources into structured formats.
- Analysis: Analyze data sets to identify trends, patterns, and actionable insights that support business goals.
- Data Integration: Ensure seamless integration of data across systems and platforms to support accurate reporting.
- Visualization: Create dashboards, reports, and visualizations using Power BI and other tools to communicate findings effectively.
- Project Collaboration: Use project management tools like Monday.com, Asana, or similar platforms to track and manage data-related projects.
- Data Optimization: Develop and implement processes for improving data accuracy, consistency, and reliability.
Problem-Solving: Work closely with stakeholders to understand data requirements and provide tailored solutions


What We’re Looking For:
- Experience: Proven expertise as a Data Analyst, particularly in handling raw data extraction, cleaning, sorting, and importing.

Technical Skills:

- Proficiency in tools like Power BI, Excel, SQL, and Python (or similar).
- Familiarity with data extraction and ETL processes.
- Experience with APIs and data integration workflows is a plus.
- Project Management: Knowledge of tools such as Monday.com, Asana, or Trello for managing and prioritizing tasks.
- Attention to Detail: Strong focus on data accuracy and integrity.
- Communication Skills: Ability to translate complex data insights into simple, actionable recommendations for non-technical audiences.

Educational Background: Degree in Data Science, Computer Science, Statistics, or a related field is preferred but not required. Equivalent work experience is also highly valued.

How to Apply:
If this role sounds like the perfect fit, we’d love to hear from you!

Step 1: Send your resume.
Step 2: Include a short explanation of your expertise and why you’re a great fit for this position.