Role Overview
The Data Analyst is responsible for transforming raw data into meaningful insights that support strategic decision-making across the organization. This role involves collecting, cleaning, analyzing, and visualizing data while collaborating with stakeholders to understand business needs. Data Analysts play a key role in building dashboards, generating reports, identifying trends, and evaluating performance metrics. Ideal candidates are detail-oriented, analytical thinkers with strong technical skills and the ability to communicate findings clearly to both technical and non-technical audiences.
Key Responsibilities
* Collect, clean, and prepare large datasets from multiple sources to ensure accuracy and consistency.
* Conduct exploratory and statistical analyses to identify trends, patterns, and actionable insights.
* Build dashboards, reports, and visualizations to communicate data in clear and compelling ways.
* Support cross-functional teams by providing ad hoc analyses and data-driven recommendations.
* Develop and maintain data models, metrics definitions, and reporting frameworks.
* Write and optimize SQL queries to extract, manipulate, and analyze structured datasets.
* Collaborate with data engineering, product, marketing, finance, and operations teams to understand data needs.
* Monitor key performance indicators and help establish benchmarks for performance tracking.
* Document methodologies, data sources, and analytical processes to ensure transparency and consistency.
* Validate data quality, identify anomalies, and recommend improvements to data pipelines and systems.
* Assist in automation projects to streamline reporting processes and improve efficiency.
* Contribute to presentations and analyses used for management decisions, strategic planning, and performance reviews.
Qualifications and Requirements
* Bachelor's degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or a related field.
* 1–3 years of experience in data analysis or business intelligence through internships or professional roles.
* Strong proficiency in SQL and experience working with relational databases.
* Hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
* Proficiency in analytical tools or programming languages such as Python or R is preferred.
* Strong understanding of statistical methods, data modeling, and analytical best practices.
* Excellent problem-solving skills and the ability to interpret complex datasets.
* Ability to communicate insights clearly, both visually and verbally, to diverse audiences.
* Strong organizational skills with attention to detail and ability to manage multiple tasks.
* Understanding of data governance, data quality principles, and business operations is a plus.
Summary
The Data Analyst plays an essential role in enabling data-driven decision-making by providing accurate analyses, clear visualizations, and actionable insights. This position offers strong career growth and serves as a foundation for specialized paths such as Data Scientist, Business Intelligence Analyst, Analytics Engineer, or Senior Data Analyst.