Senior Data Analyst
4 weeks ago
Industry : Candidates from Fintech and SAAS
We are looking for a Senior Data Analyst with a strong engineering background and expertise in data science to join our dynamic team. This role requires a combination of technical skills, analytical thinking, and problem-solving capabilities. You will be responsible for analyzing, scrubbing, and prioritizing data to drive business decisions and develop actionable insights.
Key Responsibilities :
Data Analysis & Insights :
- Analyze large datasets to identify trends, patterns, and insights to inform strategic decisions.
- Develop predictive and prescriptive models to address business problems.
Data Engineering & Scrubbing :
- Cleanse, transform, and validate data to ensure accuracy and integrity.
- Design and implement efficient data workflows and pipelines.
Data Prioritization :
- Assess and prioritize data based on business objectives and impact.
- Collaborate with stakeholders to define data requirements and key performance metrics.
Technical Implementation :
- Write clean, maintainable, and efficient Python code for data processing and analysis.
- Utilize statistical and machine learning techniques to extract insights.
Collaboration :
- Partner with cross-functional teams, including product, engineering, and business units, to align data strategies with organizational goals.
- Present findings and recommendations to stakeholders in a clear and concise manner.
Qualifications & Skills :
Educational Background :
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. A Master's degree is a plus.
Technical Skills :
- Proficiency in Python for data analysis and scripting.
- Strong experience with data cleaning, scrubbing, and transformation processes.
- Solid understanding of SQL and database management.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.
Core Competencies :
- Excellent problem-solving and analytical skills.
- Strong attention to detail and data accuracy.
- Ability to work independently and manage multiple projects effectively.
- Exceptional communication and presentation skills.
Experience :
- 4+ years of experience in a data analyst role, with demonstrated expertise in data science and engineering principles.
- Experience working with cross-functional teams in a fast-paced environment
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