Key Responsibilities:

Collaborate with cross-functional teams to identify data requirements and develop data solutions to meet business needs.
Collect, organize, and analyze large datasets to identify trends, patterns, and insights.
Develop and maintain data models for efficient data analysis and reporting.
Create and maintain data visualizations and reports to effectively communicate data insights to stakeholders.
Monitor and ensure data integrity and accuracy, performing regular data quality checks and troubleshooting any issues.
Identify and recommend process improvements to enhance data collection, management, and analysis.
Stay up-to-date with the latest data analysis tools and techniques, and continuously seek opportunities to optimize data processes.
Provide training and support to team members on data management and analysis tools and techniques.

Qualifications:

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
3+ years of experience in data analysis, preferably in a business setting.
Strong proficiency in SQL, Python, or other programming languages for data manipulation and analysis.
Experience with data visualization tools such as Tableau, Power BI, or Qlik Sense.
Excellent problem-solving skills and ability to think critically and analytically.
Strong attention to detail and ability to identify and troubleshoot data inconsistencies.
Excellent communication skills, with the ability to effectively present complex data insights to non-technical stakeholders.
Proven ability to work in a fast-paced, deadline-driven environment.
Strong project management skills and ability to handle multiple projects simultaneously.
Experience working with large datasets and knowledge of data warehousing concepts.
Knowledge of machine learning and data mining techniques is a plus.

Apply now and be a part of our team of passionate and driven individuals!

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