Role Overview
The Data Analyst (H/F) plays a crucial role in transforming raw data into actionable insights that support decision-making and strategic planning across the organization. This position involves collecting, cleaning, analyzing, and visualizing data to identify trends, measure performance, and uncover business opportunities. The Data Analyst works closely with cross-functional teams—including marketing, operations, finance, and product—to deliver accurate, data-driven solutions that enhance efficiency and support growth. This role requires a strong analytical mindset, technical proficiency, and excellent communication skills to translate complex data into clear and meaningful insights.
Key Responsibilities
* Collect, clean, and validate large datasets from multiple sources to ensure accuracy, consistency, and completeness.
* Analyze data to identify key business trends, performance drivers, and opportunities for improvement.
* Develop and maintain interactive dashboards, visualizations, and automated reports using tools such as Power BI, Tableau, or Looker.
* Collaborate with internal teams to define key performance indicators (KPIs) and reporting requirements.
* Use statistical and analytical techniques to support forecasting, segmentation, and performance measurement.
* Write SQL queries and scripts to extract, manipulate, and analyze data efficiently.
* Present analytical findings to management and stakeholders in a clear, concise, and actionable format.
* Participate in the design and implementation of data models and data governance frameworks.
* Support data-driven decision-making by providing insights that inform strategy and operational improvements.
* Ensure compliance with data privacy, security, and quality standards in all analytical processes.
Qualifications and Requirements
* Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
* 1–3 years of experience in data analysis, business intelligence, or a similar analytical role.
* Strong proficiency in SQL and experience with programming languages such as Python or R for data analysis.
* Expertise in data visualization and reporting tools (e.g., Power BI, Tableau, QlikView, or Google Data Studio).
* Advanced Excel skills, including pivot tables, lookups, and data modeling functions.
* Solid understanding of data management, relational databases, and ETL processes.
* Strong analytical and problem-solving abilities with high attention to detail.
* Excellent communication skills with the ability to explain analytical results to non-technical audiences.
* Organizational and time management skills to handle multiple projects effectively.
* A proactive mindset, curiosity, and commitment to continuous learning and innovation.
Summary
The Data Analyst (H/F) is a key contributor to building a data-driven culture within the organization. By analyzing complex datasets and presenting clear insights, this role empowers teams to make informed strategic and operational decisions. Ideal for professionals who enjoy working with numbers, technology, and business challenges, the position offers opportunities for growth, innovation, and significant impact through data-driven excellence.