Data Analyst (Product & Customer Analytics)

On-site

Posted about 2 months ago

Data Science & Analytics

AI summary

As a Data Analyst, you'll analyze customer behavior and product performance using large datasets, developing dashboards and actionable insights to support business decisions.

Eligible from: Unclear

Job Description

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/

Ready to Apply?

Take the next step in your career journey

Apply Now

About the job

Posted on: Aug 21, 2026
Job type: Full-time
Location: LATAMOn-site

Oowlish Technology

On-siteFull-timeabout 1 month ago

Apply View details

Business Intelligence Lead, Performance Marketing

Launch Potato

On-siteFull-timeabout 1 month ago

Apply View details

Explore more

Browse more jobs like this

Job type

Full-Time jobs

Work arrangement

On-Site jobs

Disclaimer: Real Jobs From Anywhere is an independent platform dedicated to providing information about job openings. We are not affiliated with, nor do we represent, any company, agency, or agent mentioned in the job listings. Please refer to our Terms of Services for further details.

Data Analyst (Product & Customer Analytics)

AI summary

Job Description

Key Responsibilities:

Requirements:

Must have:

Nice to have:

Ready to Apply?

About the job

Related roles you might like

Senior Android Engineer (Kotlin & AWS)

Full Stack Engineer (Vue + Nest)

Senior AI Solutions Engineer (Python & AWS Bedrock)

SDET – Regression Automation Engineer

Meta Creative Strategist — Performance Creative

Full Stack Web Engineer (Python & React)

Senior Frontend Engineer (React)

Senior Enterprise AI Engineer (AWS Bedrock)

Meta Ads Pro — Paid Social Media Buyer

Full Stack (Vue + Nest)