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Remote opportunity atOowlish Technology

Data Analyst (Product & Customer Analytics)

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20 Aug 2026Apply before
Opportunity details

About this role.

AI Summary

Oowlish is seeking a Data Analyst (Product & Customer Analytics) to join their remote team. The role involves analyzing customer behavior and product performance using large datasets, building dashboards, and providing actionable insights. The ideal candidate has 3+ years of experience with SQL, Python/R, statistical analysis, and data visualization. This position offers remote work, competitive compensation, and opportunities for growth in international projects.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

3/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role requires 3+ years of experience and proficiency in multiple technical skills (SQL, Python/R, statistics), but is not entry-level or expert, making it moderate difficulty.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$80,000
US market range$65k–$95k
AI insightThe job posting does not specify a salary, but based on the US market for a Data Analyst with 3+ years of experience, the typical range is $65,000-$95,000 per year. The offered compensation at Oowlish may vary based on location and experience, but is likely competitive for Latin America.

Core skills

Skills and capabilities most closely associated with this opportunity.

Data AnalyticsSQLPythonRStatistical AnalysisDashboardingCustomer AnalyticsCross-functional CollaborationData VisualizationBusiness Intelligence
Cover letter sample

Dear Hiring Manager,

I am excited to apply for the Data Analyst position at Oowlish. With over 3 years of experience in product and customer analytics, I have honed my SQL and Python skills to extract actionable insights from large datasets. I thrive in collaborative environments and enjoy translating complex data into clear recommendations for cross-functional teams.

At my previous role, I built dashboards that improved customer retention by 15% and supported A/B testing for product launches. I am particularly drawn to Oowlish's innovative culture and opportunity to work on international projects remotely.

Thank you for considering my application. I look forward to contributing to your team.

Sincerely, [Your Name]

Sample interview questions
Describe a time you used SQL to solve a complex data problem.

In my previous role, I used SQL to identify a drop in user engagement by joining user activity logs, session data, and product tables. I wrote a query to calculate daily active users segmented by feature usage, which revealed a bug in the onboarding flow, leading to a 20% recovery in engagement.

How do you approach building a dashboard for a new stakeholder request?

I first clarify the stakeholder's key questions and decision-making needs. Then I identify the necessary data sources and KPIs. I design a prototype with clear visuals, focusing on actionable insights rather than raw data. I iterate based on feedback and ensure the dashboard is self-explanatory with tooltips and filters.

Explain a statistical method you have used for customer segmentation.

I used K-means clustering on customer transaction data to segment users by purchase frequency and average order value. I determined the optimal number of clusters using the elbow method and then characterized each segment to tailor marketing campaigns, resulting in a 12% increase in conversion for targeted segments.

How do you communicate complex analytical findings to non-technical stakeholders?

I focus on the business impact rather than technical details. I use simple language, analogies, and visualizations like charts and graphs. I start with the key insight, then explain why it matters and what action is recommended. I also ask for feedback to ensure understanding.

Tell me about a challenging data quality issue you faced and how you resolved it.

I encountered inconsistent date formats across multiple data sources causing errors in time series analysis. I wrote Python scripts to standardize all dates into ISO 8601 format and implemented validation checks. I also documented the process and worked with the engineering team to prevent future issues.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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:

  • 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 Google Analytics (GA4).
  • 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.
    • 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/

    Apply now >

    This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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