Data Analyst (Power BI)

Key Responsibilities

• Assist in the collection, cleaning, and preprocessing of large datasets from various sources to ensure data quality and integrity.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies using Python (Pandas, NumPy) and SQL.
• Develop and maintain reports and dashboards using MS Excel to visualize key metrics and communicate findings effectively.
• Support senior data analysts in building and optimizing data models and analytical tools.
• Collaborate with cross-functional teams to understand data requirements and deliver insightful analytical solutions.
• Document data processes, methodologies, and analysis results clearly and concisely.
• Continuously learn and apply new data analysis techniques and technologies.

Required Skills & Qualifications

• Strong foundational knowledge and practical experience with Python, including libraries like Pandas and NumPy.
• Proficiency in SQL for data querying, manipulation, and database management.
• Demonstrable expertise in MS Excel for data analysis, reporting, and visualization.
• Basic understanding of web frameworks like Django is a plus for data integration or backend interactions.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Currently pursuing or a recent graduate in Computer Science, Statistics, Mathematics, Economics, Information Systems, or a related quantitative field.
• Eagerness to learn new technologies and adapt to evolving project requirements.
• Strong communication skills, both written and verbal, for a remote work environment.
• Eligibility: We welcome applications from everyone interested in this opportunity.

Preferred Qualifications

• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn in Python.
• Basic understanding of statistical analysis concepts and hypothesis testing.
• Prior experience with data-related projects (academic, personal, or professional).
• Ability to work independently and collaboratively in a remote team setting.