
Senior Business Insights Specialist
21 hours ago
About Data Analyst Role Overview
We are a FinTech company developing innovative AI tools.
This is an extraordinary opportunity for a self-driven, analytically minded individual with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.
Key Responsibilities
- Data Collection & Processing:
- Gather data from various sources and databases
- Clean and pre-process data to ensure quality and usability
- Develop and maintain data pipelines
- Implement data validation procedures and quality checks
- Data Analysis & Modelling:
- Apply statistical methods to interpret datasets
- Identify patterns, trends, and correlations in complex data
- Develop predictive models and conduct hypothesis testing
- Create data-driven solutions for business problems
- Data Visualization & Reporting:
- Create interactive dashboards and visual reports
- Develop compelling data visualizations to communicate findings
- Present analytical insights to stakeholders
- Automate regular reporting processes
- Business Intelligence:
- Transform raw data into actionable business insights
- Support decision-making processes with data-backed recommendations
- Monitor key performance indicators and metrics
- Identify opportunities for process optimization
Capstone Project:
- Complete an end-to-end data analysis project including: Problem definition, Data collection and preparation, Analysis and modelling, Visualization of results, and Recommendations based on findings
You Will Gain Practical Experience In:
- Data analysis tools and techniques
- Data visualization and dashboard creation
- Analytical and problem-solving abilities
- Effective communication of technical findings to non-technical audiences
- Ai and machine learning applications in data analytics
You Must Have:
- Strong analytical and quantitative skills
- Basic knowledge of data analysis tools (Excel, SQL, Python, or R)
- Interest in working with data and deriving insights
- Willingness to self-learn and work in a fast-paced environment
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