Data Analyst
Role Description
As a Data Analyst, you will collect, process, and analyze data to uncover trends and insights that support informed business decisions. You will work closely with stakeholders to understand their questions, translate them into analyses, and present findings in a clear and actionable way.
You will collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to ensure data is accurate, accessible, and used effectively to guide strategy and day-to-day decision-making.
Key Responsabilities
- Gather, clean, and organize data from multiple sources to ensure accuracy and consistency.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Build and maintain reports, dashboards, and visualizations to track key business metrics.
- Translate business questions into analytical approaches and deliver clear, actionable insights.
- Collaborate with stakeholders across departments to understand their data and reporting needs.
- Support data-driven decision-making by presenting findings to technical and non-technical audiences.
- Identify opportunities for process improvement through data analysis.
- Ensure data quality, consistency, and integrity across reports and analyses.
- Document data definitions, analysis methodology, and reporting processes.
- Stay current with new analytics tools and techniques, proposing their adoption when relevant.
Job Qualifications
- Bachelor’s degree in Statistics, Economics, Business, Computer Science, or a related field.
- 4+ years of experience in a Data Analyst or similar analytical role.
- Strong analytical and problem-solving skills, with attention to detail.
- Experience turning large, complex datasets into clear, actionable insights.
- Good communication skills, with the ability to present findings to non-technical stakeholders.
- Comfortable working with ambiguous business questions and translating them into data queries.
- Fluency in English (written and spoken); additional language is a plus.
- Ability to work independently and as part of a distributed/remote team.
Main Tech Skills
- Query Languages: SQL (required).
- Programming Languages: Python or R (a plus, for automation and statistical analysis).
- Data Visualization: Power BI, Tableau, or Looker.
- Spreadsheet Tools: Advanced Excel (pivot tables, formulas, macros).
- Data Analysis: Pandas, NumPy (a plus).
- Statistical Analysis: descriptive statistics, hypothesis testing basics.
- Databases: relational databases (PostgreSQL, MySQL, SQL Server).
- ETL Basics: familiarity with data pipelines and data transformation concepts.
- Cloud Platforms: familiarity with AWS, Azure, or GCP data tools (a plus).
- Version Control & Collaboration: Git, Jupyter Notebooks (a plus).
Be Bold · Work Smart · Change Tomorrow
We started this company with a simple observation: most organizations don’t struggle because they lack technology — they struggle because solutions are too complex, disconnected from reality, or hard to sustain over time. Data and AI can create enormous value. But only when they are designed with clear intent, solid foundations, and a realistic understanding of how organizations actually operate. We’re a young, fast-growing company with plenty of opportunities to learn, evolve, and build something meaningful together.