Data Analyst (U.S. Remote | Part-time | $30–$40/hr)

Overview

🌍 Location: Anywhere in the U.S. (Fully Remote)
⏰ Hours: Flexible, Part-time (15-20 hrs/wk)
💡 Experience: Mid-level (2-4 years)
🎓 Education: Bachelor's degree or equivalent prowess
💰 Salary: $30–$40/hr (depending on experience)

Your Role

As our Data Analyst, you’ll be my analytics artisan tasked with orchestrating insights that drive decisions. Whether it's consulting with clients or crafting new product and service offerings, You'll be part of a growing team that is focused on co-learning, creativity, and making an impact.

Perks & Benefits

💼 Co-working: $150 monthly co-working space allowance
🖥️ Tech Setup: $500 annual home office setup allowance
📚 Learning & Development: $500 annual professional development allowance
🏠 Work Flexibility: Choose where and when you work (U.S. only)
🌴 Time Off: 10 days PTO, 5 days sick leave, and 11 paid holidays (PTO/sick days pro-rated against a 40-hr work week)
🚀 Professional Growth: Potential transition to full-time after 6-12 months

Join Our Journey

If you…

have a positive attitude and desire to learn new things
are sharp, curious, and analytical
think critically and challenge the status quo

then we want you! Dive into a world where every day offers a new challenge, your skills are valued, and your contributions shape our future.

Joining Nerevu is a simple 5 step process:

Application
Initial Interview
Technical Challenge
Final Interview
Offer

Responsibilities

Core (you'll be directly responsible)

Strategic Data Analysis

Benchmark business services and products against industry leaders
Transform raw data into compelling insights that steer strategic direction
Monitor and interpret key performance indicators (KPIs)
Work with stakeholders to research and document business, technical, and analytical requirements
Perform ad-hoc data and statistical analysis, data entry, and data cleaning

User Interface & Experience (UI/UX)

Analyze user behavior to improve in-app customer experience
Craft intuitive reports and visualizations

Marketing & Storytelling

Fine-tune our marketing campaigns with data-driven A/B testing
Share our story and expertise through insightful articles, case studies, and blog posts

Additional (you'll provide support)

Strategic Business Analysis

Dive deep into services, platforms, and tools to deliver transformative recommendations based on your findings

Strategic Data Analysis

Weave compelling narratives from diverse datasets
Apply data mining and exploratory data analysis (EDA) to uncover trends, patterns, and correlations

Software Development

Document and refine internal development processes

Cyber Security

Analyze security events to aid in threat detection and risk assessment

Technologies you should know or be willing to learn

Applications

Data Visualization

Power BI/Tableau/etc.
Superset/Redash/etc.
Grafana/Kibana/etc.
Databox/Geckoboard/Klipfolio/etc.

Analytical

Google Analytics/Matomo/etc.
Airtable or MS Excel
OpenRefine

Developer

Jupyter Notebook
Sublime Text/VS Code/etc.

General

ChatGPT
Ghost/Medium/Substack/etc.

Programming Languages & Libraries/Frameworks

Python or Clojure
Bash or Zsh or PowerShell
SQL
Numpy/Pandas/Polars/meza/etc.

Restrictions

Telecommuting is OK
No Agencies Please

Requirements

Must haves

Able to work at least 15 hours/week
Authorized to work in the US
At least 2 years relevant professional experience
Computing device capable of running the above technologies

Nice to haves

Education

Bachelor's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Science, or Engineering (or equivalent experience)

2-4 years experience in any of the following

The above primary responsibilities
The above technologies

About the Company

At Nerevu Group, we're not just number crunchers; we're data-driven pioneers. Born from a passion to unearth the stories data has to tell, we transform how organizations harness the power of data.

Our ethos? Data isn't just digits; it's a goldmine of insights waiting to be discovered. We're champions of open-source, advocates for open data initiatives, and on a mission to make data analytics accessible to all.