About this role.
Oowlish is seeking a mid-level Data Analyst focused on product, customer, and business analytics in a remote Latin American setting. The role analyzes large datasets, customer behavior, product performance, and business trends to produce dashboards, reports, forecasts, and actionable recommendations. Candidates need at least three years of analytics experience, strong SQL, Python or R, statistical analysis, data visualization, and GA4 experience. The analyst will work closely with Product, Marketing, Engineering, and Business stakeholders and must clearly communicate technical findings to non-technical audiences.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
4/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would first define the conversion event and comparison period, then validate event tracking and data completeness. I would segment the funnel by acquisition channel, device, geography, customer cohort, and product experience to isolate where the drop occurs. I would combine GA4 behavioral data with warehouse data such as customer attributes and transactions, quantify the impact, and present prioritized hypotheses and recommended experiments.
I would create a cohort table based on each customer’s first meaningful event or purchase date, then join subsequent activity by month or week. Using window functions, conditional aggregation, and date logic, I would calculate active users, retained users, churn, and repeat activity for each cohort. I would validate the definitions with stakeholders and publish the results in a dashboard with clear retention trends and drill-down segments.
I start by identifying the decision, audience, KPI definitions, and action each dashboard should support. I reconcile dashboard metrics against trusted source queries, add data-quality checks, document calculation logic, and test filters and edge cases. I keep the interface focused on the most meaningful measures and include contextual comparisons, targets, and annotations so stakeholders can interpret changes correctly.
I would confirm the hypothesis, primary metric, guardrail metrics, randomization method, sample-size assumptions, and experiment duration before reading results. After validating data integrity, I would compare treatment and control outcomes using an appropriate statistical test and confidence interval, while checking important segments and potential unintended effects. I would communicate both statistical and practical significance, limitations, and a clear recommendation for rollout, iteration, or further testing.
I would lead with the business question, the key finding, and the recommended action rather than the methodology. I would use a simple visualization and concrete impact statement, such as the affected customer segment or expected outcome, then explain assumptions and confidence in plain language. I would keep technical detail available in an appendix or follow-up discussion for stakeholders who need it.
Join Our Team
Oowlish, one of Latin America’s rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We’re looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role:
We are looking for a curious and analytical Data Analyst to help transform complex data into actionable insights that drive product, customer, and business decisions.
In this role, you will work closely with cross-functional teams to analyze customer behavior, product performance, and business trends while developing dashboards, reports, and data-driven recommendations. You will leverage modern analytics tools and statistical techniques to uncover opportunities, improve decision-making, and support strategic initiatives.
The ideal candidate combines strong SQL and statistical analysis skills with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.
Key Responsibilities:
- Analyze customer behavior, product performance, and business trends using large datasets.
- Build dashboards, reports, and visualizations that support business decision-making.
- Develop data models and queries to extract meaningful insights from multiple data sources.
- Identify patterns, trends, and opportunities using statistical analysis and exploratory data techniques.
- Collaborate with Product, Marketing, Engineering, and Business teams to support strategic initiatives.
- Translate complex analyses into clear, actionable recommendations for stakeholders.
- Support forecasting, segmentation, and customer behavior analysis.
- Contribute to long-term analytics projects from planning through execution.
- Continuously improve reporting processes, data quality, and analytics methodologies.
Requirements:
- 3+ years of professional experience in Data Analytics, Business Analytics, or similar roles.
- Strong SQL skills and experience working with large datasets.
- Experience with Python, R, or another statistical programming language.
- Experience building dashboards and data visualizations.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Experience collaborating with cross-functional teams.
- Strong written and verbal English communication skills.
Must have:
- Experience with Google Analytics (GA4).
- Strong SQL experience.
- Experience querying large datasets from multiple sources.
- Professional experience with Python or R.
- Experience building dashboards and reports.
- Experience performing statistical analysis.
- Strong understanding of customer or product analytics.
- Experience presenting insights to stakeholders.
- Strong data visualization skills.
- Experience cleaning, transforming, and validating data.
- Strong analytical thinking and business acumen.
Nice to have:
- Experience with BigQuery.
- Experience with Tableau, Looker, or Power BI.
- Experience with predictive analytics or customer segmentation.
- Experience with A/B testing.
- Experience working alongside Data Science teams.
- Retail or eCommerce analytics experience.
- Experience with Hadoop or Hive.
- Master’s degree in a quantitative field.
Compensation
Additional Information
Benefits & Perks:
Home office;
Competitive compensation based on experience;
Career plans to allow for extensive growth in the company;
International Projects;
Oowlish English Program (Technical and Conversational);
Oowlish Fitness with Total Pass;
Games and Competitions;
You can also apply here:
Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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