Data Analyst
We are no longer accepting applications for this position
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)
Why Us?
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.
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
🌴 Time Off: 10 days PTO*, 5 days sick leave*, and 11 paid holidays (*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
Questions? Email careers@nerevu.com to reach me directly.
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
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
Analytical
Google Analytics/Matomo/etc.
Airtable or MS Excel
OpenRefine
Data Visualization
Power BI/Tableau/etc.
Superset/Redash/etc.
Databox/Geckoboard/Klipfolio/etc.
Grafana/Kibana/etc.
General
ChatGPT
Ghost/Medium/Substack/etc.
Developer
Jupyter Notebook
Sublime Text/VS Code/etc.
Programming Languages & Libraries/Frameworks
Python or Clojure
Numpy/Pandas/Polars/meza/etc.
Bash or Zsh or PowerShell
Requirements & Qualifications
Must haves
Able to work at least 15 hours/week
Authorized to work in the U.S.
U.S. Based
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