Data Analyst

About the Role

We are looking for a meticulous Data Analyst to convert raw data sets into valuable business insights. Your responsibilities will include gathering, cleaning, and preparing data, creating interactive visual dashboards, conducting thorough exploratory data investigations, and collaborating closely with stakeholders to support decision-making based on data.

Key Responsibilities

• Extract, transform, and cleanse raw data sourced from relational databases, APIs, and flat files to support analytical processes.
• Develop, update, and manage interactive dashboards and automated reporting tools using platforms like Power BI or Tableau.
• Compose advanced and efficient SQL queries to retrieve data, develop metrics, and maintain data models.
• Conduct exploratory analysis to uncover operational trends, detect anomalies, and interpret performance patterns.
• Convert complex business inquiries into detailed technical specifications and deliver data-driven recommendations to management.
• Track key performance indicators and alert relevant teams about significant changes in core metrics.
• Perform on-demand statistical analyses and assist cross-department teams with data validation and reporting tasks.
• Implement data quality assurance measures, document data dictionaries, and maintain data integrity across organizational platforms.

Qualifications and Requirements

• A bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Information Systems, or a related discipline.
• Between one and three years of practical experience in data analytics, business intelligence, or reporting roles.
• Proficiency in SQL for querying, joining, and manipulating complex datasets.
• Experience in building visual reports and dashboards using BI tools such as Power BI, Tableau, or Looker.
• Familiarity with analytical programming in Python or R for data manipulation and statistical modeling.
• Advanced skills in Microsoft Excel, including pivot tables, complex formula construction, and using data analysis add-ins.
• Strong analytical thinking, attention to fine details, and the capability to explain technical findings to non-technical stakeholders.