Communicating with stakeholders across the organization to understand data analysis needs and address business inquiries through comprehensive data exploration
Collecting data from diverse sources and process data to ensure its quality and consistency.
Employing advanced analysis and visualization techniques to explore data sets, identify patterns, trends, and interesting insights.
Applying statistical methods to analyze data, uncover relationships, and identify correlations between variables.
Translating complex analytical findings into easily understandable language for non-technical stakeholders, presenting insights in a clear and structured manner
Creating comprehensive reports and interactive dashboards that vividly describe the results of data analysis, offering relevant information to stakeholders
Ensuring the accuracy and reliability of data used in analyses and providing recommendations to enhance overall data quality
Collaborating effectively with other data analysis teams, development/backend teams, and various business team members to achieve project and initiative goals
Staying informed about the latest developments in the field of data analysis and related technologies to continually improve efficiency and analytical skills
Demonstrating a commitment to maintaining the security and privacy of data accessed and used during the analysis process
Requirements
Bachelor's degree in engineering, computer science, statistics, mathematics, or a related field
At least 1 year of relevant experience as a data analyst; fresh graduate with internship experiences are welcome to apply
Proficient in using Excel and/or Google Sheets for data analysis
Familiarity and hands-on experience working with MySQL, Metabase, and proficiency in Data Analysis and Python
Demonstrate a solid understanding of statistical concepts
Ability to read and comprehend data, with the capability to create charts and graphs to effectively communicate findings
Capable of providing valuable insights and developing actionable plans based on data analysis
Proficiency in transforming ambiguous business or product challenges into impactful analyses, including the design of simple experiments
Exhibit strong curiosity and perseverance, with the ability to learn quickly and work independently
Possess a keen analytical mindset and a genuine passion for working with data
Adaptability to changing priorities and the ability to thrive in a dynamic work environment
