Role Description:
The Data Analyst is responsible for collecting, interpreting, and transforming data into insights that drive strategic decision-making across the organization. This role plays a key part in analyzing trends, developing performance metrics, and supporting data-driven strategies to improve efficiency and business outcomes. The Data Analyst will work closely with cross-functional teams—including finance, marketing, operations, and product—to deliver accurate reports, dashboards, and analytical models that inform business strategy and execution.
Key responsibilities include designing and maintaining data models, performing quantitative analyses, and developing visualization tools to communicate findings clearly and effectively. The analyst will ensure data accuracy, integrity, and accessibility across various systems and will collaborate with stakeholders to define reporting requirements and KPIs. This position requires a strong analytical mindset, technical proficiency, and the ability to translate complex datasets into actionable recommendations.
The ideal candidate is detail-oriented, curious, and skilled at identifying trends and patterns that influence business performance. A combination of technical expertise, business understanding, and communication skills is essential for success in this role. The Data Analyst will contribute directly to strategic planning, operational improvement, and innovation by turning data into meaningful insights that support informed decision-making.
Qualifications:
* Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
* 2–4 years of experience in data analysis, business intelligence, or analytics roles.
* Strong knowledge of data visualization tools such as Power BI, Tableau, or Looker.
* Proficiency in SQL and experience with databases and data extraction.
* Competence in programming languages such as Python or R for data manipulation and analysis.
* Solid understanding of data modeling, data cleaning, and statistical analysis techniques.
* Excellent analytical, problem-solving, and critical-thinking abilities.
* Strong attention to detail and ability to maintain accuracy under tight deadlines.
* Effective communication skills, with the ability to present technical information to non-technical stakeholders.
* Experience working with large datasets and an understanding of data governance principles.