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The Junior Data Analyst will be responsible for collecting, cleaning, and analyzing data to support business decisions. They will work under the guidance of senior analysts and managers to help the company understand trends, identify opportunities, and optimize operations. This role is crucial for transforming raw data into actionable insights for various departments.
Job Responsibility:
Data Collection and Cleaning: Gather data from multiple sources (e.g., databases, spreadsheets, APIs). Clean and preprocess raw data to ensure accuracy and consistency
Data Analysis: Perform exploratory data analysis (EDA) to find patterns, trends, and anomalies. Use statistical methods to analyze data and test hypotheses
Reporting and Visualization: Create and maintain dashboards, charts, and reports using data visualization tools. Present findings clearly to both technical and non-technical stakeholders
Collaboration: Work with cross-functional teams (e.g., marketing, sales, finance) to understand their data needs and provide data-driven solutions. Assist in gathering business requirements for new projects
Process Improvement: Help automate routine data tasks and identify opportunities to improve data collection and analysis processes
Quality Assurance: Ensure the integrity and accuracy of data by conducting regular checks and audits
Requirements:
1 to 3 years of professional experience in a data analyst or a similar role
A Bachelor's degree in a quantitative field
Strong proficiency in writing SQL queries to extract, manipulate, and analyze data from databases
Experience with tools like Power BI or Tableau to create interactive dashboards and reports
Advanced knowledge of Microsoft Excel (e.g., PivotTables, VLOOKUP, charts, functions)
Basic to intermediate proficiency in Python or R for data manipulation and statistical analysis
Strong problem-solving skills and a keen eye for detail
Excellent written and verbal communication skills to present complex findings clearly
Ability to work effectively in a collaborative, fast-paced environment
Nice to have:
Knowledge of libraries like Pandas and NumPy is a plus