- Develop and implement analyses and analytical models
- Build and optimize data pipelines for efficient processing
- Create visualizations and dashboards that communicate insights clearly
- Conduct exploratory data analysis to identify patterns and trends
- Collaborate with business teams to understand their needs and requirements
- Participate in analytics projects from start to finish, from planning through implementation
- Document data analysis processes and methodologies
Requirements
- At least 4 years of experience in Data and Analytics-related roles
- Bachelor's degree in Statistics, Computer Science, Mathematics, Engineering, or a related field
- Practical experience with data analysis languages (Python, R, or Scala)
- Strong SQL skills and experience with relational databases
- Experience with visualization tools (Power BI, Tableau, Looker)
- Knowledge of statistics and data modeling techniques
- Experience implementing ETL processes
- Strong communication skills, with the ability to translate technical concepts for non-technical audiences
- Knowledge of machine learning and predictive model implementation
- Experience in the financial services or fintech sector
- Knowledge of Microsoft Fabric
- Familiarity with big data tools (Spark, Hadoop)
- Knowledge of cloud platforms (Azure, AWS, GCP) and their data services
- Experience with NoSQL databases (MongoDB, Cassandra)
- Relevant certifications in Data and Analytics
- Knowledge of data governance and quality
Core Competencies
Demonstrates expertise in data analysis, data pipeline optimization, and visualization , with a strong foundation in statistical methods and machine learning. Proficient in collaborating with business teams to deliver actionable insights and ensure data quality and governance.
Highest-signal resume keywords
- Data Analysis Languages (Python, R, Scala)
- Strong SQL Skills
- Visualization Tools (Power BI, Tableau, Looker)
- ETL Process Implementation
- Financial Services or Fintech Experience
ATS Optimization Keywords
Hard Skills
- Data Analysis
- Statistical Knowledge
- Data Modeling Techniques
- Machine Learning
- Predictive Model Implementation
Soft Skills
- Strong Communication Skills
Certifications & Qualifications
- Relevant Certifications in Data and Analytics
Industry Keywords
- Data Governance
- Data Quality
Tools & Technologies
- Microsoft Fabric
- Big Data Tools (Spark, Hadoop)
- Cloud Platforms (Azure, AWS, GCP)
- NoSQL Databases (MongoDB, Cassandra)