Data Analyst at Oowlish - Grow Your Analytics Career in Columbus
Career & Market Insight
Role Level & Market Positioning: Requiring 3+ years of experience, this is a mid-level Data Analyst position. The tech stack (SQL, Python/R, BI tools like Tableau/Looker/Power BI, BigQuery, GA4) is squarely in-demand — these skills are consistently among the top requested in analytics job postings globally in 2024–2025.
Compensation: No salary range is disclosed, which is a minor yellow flag. "Competitive compensation based on experience" is vague. For a mid-level Data Analyst at a LATAM software consultancy working with US/EU clients, market rates in Brazil typically range from BRL 8,000–15,000/month (roughly USD 1,500–2,900). If paid in USD, that bracket rises significantly — clarify currency and structure during the process.
Skills You'll Build:
- Cross-functional stakeholder communication (Product, Marketing, Engineering)
- Advanced SQL and large-dataset querying
- Statistical analysis and potentially predictive modeling
- Dashboard/reporting fluency across major BI platforms
- International client collaboration, boosting English and business acumen
Culture Signals: Oowlish holds a Great Place to Work certification, which is a meaningful green flag for culture. The company is in a growth phase across LATAM — good for upward mobility. Career development plans are explicitly mentioned, suggesting structured progression.
Red Flags to Watch: The "Must Have" and "Requirements" sections are heavily overlapping, which can indicate a copy-paste job description. Probe interviewers for day-to-day tool specifics and team size. The lack of salary transparency is worth addressing early.
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 (fully remote)
- Competitive compensation based on experience
- Career plans for extensive growth within the company
- International projects with US and European clients
- 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/
Frequently Asked Questions
Is this Data Analyst role fully remote?
What technical skills are required for this position?
Is a salary range disclosed for this role?
What experience level is required?
Are there career growth opportunities at Oowlish?
