Job: Data Analyst
Remote: Latin America, Philippines, Eastern Europe.
Salary: USD $ based on experience.
Industry: Sales, SAS, E-commerce
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Role Scope & Purpose:
The Data Analyst is responsible for collecting, analyzing, and interpreting data to generate actionable insights that support business decision-making. This role transforms raw data into clear, compelling narratives through dashboards, reports, and analyses that help stakeholders understand performance, identify trends, and prioritize opportunities. The Data Analyst serves as a key resource across departments - working with marketing, operations, finance, and product teams to answer data-driven questions and drive continuous improvement.
Key Responsibilities
- Dashboard Management
- Build, maintain, and update reporting dashboards
- Ensure data accuracy and consistency across reports
- Standardize reporting frameworks
- Troubleshoot data discrepancies
- Performance Analysis & Insights
- Analyze marketing performance across channels
- Identify trends, opportunities, and issues
- Translate data into actionable insights
- Support decision-making with clear reporting
- Platform & Tracking Management
- Work within CRMs, data platforms, and call tracking tools
- Ensure proper tracking and attribution
- Validate data integrity across sources
- Support tagging and tracking implementation
- Reporting Consistency & Support
- Maintain standardized reporting processes
- Support internal and client-facing reporting needs
- Collaborate with activation teams
- Ensure timely delivery of reports
Requirements
- 2–4 years of experience in a data analyst or business intelligence role.
- Proficiency in SQL for querying and manipulating relational databases.
- Experience with BI/data visualization tools (Tableau, Looker, Power BI, Metabase, or similar).
- Strong analytical thinking and ability to translate data into clear business insights.
- Proficiency in Excel or Google Sheets for data analysis and reporting.
- Ability to communicate complex findings clearly to non-technical audiences.
- Strong attention to detail and data accuracy standards
- Strong english proficiency (B1- C1)
Nice to have
- Proficiency in Python or R for data manipulation, statistical analysis, or automation.
- Experience with data warehouses (Snowflake, BigQuery, Redshift, or similar).
- Familiarity with dbt for data transformation.
- Experience with A/B testing and statistical significance analysis.
- Background in ecommerce, SaaS, or marketing analytics.
- Knowledge of data modeling concepts and dimensional design.
Benefits
- Remote Work: Work from anywhere—our team is global, and we value work-life balance.
- Growth Opportunities: As a key player i you’ll have the chance to shape your role and grow with us.
- Innovative Culture: Join a team that is passionate about leveraging data to solve challenges and drive success in a rapidly evolving market.
As part of our recruitment process, all candidates will be kindly asked to agree to Lago’s Confidentiality and Non-Circumvention Agreement. This ensures a respectful and professional experience for everyone involved.