Job Description
About SideRamp
SideRamp allows professionals to engage with part-time opportunities in the gig economy, offering a centralized platform that manages high-quality, flexible side gigs. We focus on connecting our users to various freelance and part-time work—from discovering opportunities to streamlining the application process.
We are searching for a data analyst to join a renowned e-commerce conglomerate for a project-based opportunity!
Key ResponsibilitiesData Collection: Gather and compile data from various sources to ensure completeness and accuracy.
Data Interpretation: Analyze data sets to extract valuable insights and trends to support decision-making processes.
Data Visualization: Create visual representations of data through charts, graphs, and dashboards for easy understanding and presentation.
Data Cleaning: Scrub and clean datasets to eliminate errors, inconsistencies, and duplicates.
Data Modeling: Develop and maintain databases, data models, and protocols for data mining and analysis.
Statistical Analysis: Perform statistical analysis to uncover patterns, correlations, and anomalies in the data.
Experience: Minimum of 2 years in a data analysis role, preferably in an e-commerce or retail setting.
Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field. A Master's degree is a plus.
Skills:
Proficiency in data analysis tools such as Excel, SQL, Python, or R.
Strong quantitative and qualitative analysis skills.
Experience with data visualization tools like Tableau or Power BI.
Knowledge of statistical methods and techniques.
Ability to work with large datasets and databases effectively.
Personal Attributes:
Detail-oriented with a critical eye for accuracy.
Strong problem-solving and critical thinking skills.
Ability to work independently and in a team environment.
Excellent communication and presentation skills.
Adaptability to handle changing priorities and deadlines.
Note: Job descriptions may have been edited from their original format to ensure fair hiring standards along with consistent formats across all postings. Salary information is not guaranteed and many estimates are based on a yearly, full-time salary. This system can make mistakes. #LI-remote
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