Data Analyst

About Wokolako:

Wokolako is tech company specializing in human-AI expert staffing for flexible roles. Join us to shape the future of work!

Role Summary:

We're seeking a motivated Data Analyst to join our lean team and play a pivotal role in our iterative journey to get the results we're looking for. In this hands-on position, you'll analyze key metrics like website traffic and conversion rates, collate insights to inform service remodels, and help us adapt our human-AI expert staffing offerings to better meet market needs. This is an ideal opportunity for recent graduates or early-career professionals with university-honed skills in data analysis, who thrive in a collaborative, fast-paced startup environment. You'll work closely with founders and cross-functional teams to turn data into actionable strategies that accelerate our growth and enhance business performance for our clients.

Key Responsibilities:

- Monitor and analyze core metrics (e.g., traffic, conversion rates) to identify opportunities for service refinement, supporting 2-4 iterative pivots.

- Clean, wrangle, and visualize datasets to deliver insights driving 15-20% growth in qualified leads.

- Conduct A/B testing and experiments on service features (e.g., matching algorithms).

- Build interactive dashboards for real-time tracking and non-technical sharing.

- Respond to urgent data needs (e.g., conversion drops) with solutions.

- Partner with teams to translate questions into data requirements and document findings.

Required Skills and Qualifications:

We value skills from diverse majors like Business (e.g., market analysis), Social Sciences (survey stats), Engineering (modeling), Biology (data processing), or Humanities (text mining). Key competencies (proven via projects/portfolio):

1. Technical Tools: Python/R for analysis (e.g., Pandas), SQL queries, Tableau/Power BI/Excel for visualization, data wrangling (cleaning, automating).

2. Statistical Application: Hypothesis tests, A/B tests, regression/ML models, quantitative research (e.g., capstone with RMSE).

3. Business Context: Domain analysis (e.g., ROI/churn questions), optimization projects, stakeholder presentations.

4. Storytelling: End-to-end portfolios (GitHub/Jupyter), report writing.

Experience Checklist (Look for 4+):

✅ Programming/SQL in projects.

✅ A/B tests or models (coursework/Kaggle).

✅ Quantitative research/validation.

✅ Problem-solving in fields (e.g., ROI/surveys).

✅ Portfolios with visualizations/recommendations.

Preferred Qualifications:

- Startup/iterative process familiarity.

- AI tool interest or web analytics (Google Analytics/Mixpanel).

- "Culture add" mindset for diverse ideas.

What We Offer:

Flexible remote work, mentorship, competitive rates, growth potential, and an innovative culture.