Part Time
$10/hour US or $579 Peso/hour
20
Dec 29, 2024
We are seeking an experienced and innovative Data Analyst with a strong background in data analytics and a solid understanding of artificial intelligence (AI) technologies. In this role, you will analyze complex datasets, leverage AI tools and techniques to uncover insights, and contribute to data-driven decision-making processes. T
The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for data.
Key Responsibilities:
Collect, clean, and preprocess data from various sources, ensuring high-quality datasets.
Analyze large and complex datasets to identify trends, patterns, and actionable insights.
Monitor key performance indicators (KPIs) and provide recommendations for improvement.
Leverage AI techniques such as machine learning, natural language processing, or predictive analytics to enhance data
analysis.
Build and maintain dashboards, reports, and data visualizations to support business objectives.
Assist in predictive modeling, statistical analysis, and data forecasting.
Collaborate with cross-functional teams to understand requirements and provide AI-driven solutions.
Monitor and evaluate the performance of AI models and ensure continuous improvement.
Stay updated on the latest AI technologies and trends to bring innovative solutions to the team.
Qualifications:
A minimum of 3 years of experience as a Data Analyst, Data Scientist, or in a similar role.
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s degree preferred).
Experience with data visualization tools like Tableau, Power BI, or similar platforms.
Strong proficiency in data analysis tools and programming languages, such as Python, R, or SQL.
Hands-on experience with AI frameworks and libraries
Familiarity with data visualization tools like Tableau, Power BI, or similar platforms.
Solid understanding of statistical methods, predictive modeling, and machine learning techniques.
Excellent communication skills and the ability to present complex data insights to both technical and non-technical audiences.
Preferred Qualifications:
Experience deploying AI models into production.
Knowledge of big data technologies such as Hadoop, Spark, or AWS.
To Apply:
1.
2. Share the most challenging project you worked as a Data Analyst.
3. Share how you use AI with your data analysis process.
4. Provide a link to your online jobs profile.
Thank you for viewing this post and I hope you apply!