Overview
The Data Analyst/Data Scientist will play a crucial role in collecting, analyzing, interpreting, and presenting data to drive informed decision-making within the organization. This role is vital in identifying trends, patterns, and insights from complex data sets to drive business outcomes and strategic initiatives.
Key Responsibilities
- Collect and clean data from various sources.
- Conduct statistical analysis and data mining to identify trends and insights.
- Develop and implement machine learning models to solve business challenges.
- Design and execute experiments to test hypotheses and generate actionable insights.
- Create data visualizations and dashboards to effectively communicate findings.
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Identify opportunities to automate data collection and analysis processes.
- Conduct in-depth data quality assessments and ensure data integrity.
- Present findings and recommendations to stakeholders and leadership.
- Stay current with industry best practices and emerging technologies in data analysis.
- Contribute to the development and maintenance of data governance policies and procedures.
- Participate in the development of data analytics strategies and roadmaps.
- Provide mentorship and training to junior team members.
- Contribute to the continuous improvement of data analytics tools and processes.
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
- Proven experience in data analysis, statistical modeling, and machine learning.
- Proficiency in programming languages such as Python, R, or Java.
- Strong SQL skills for data extraction and manipulation.
- Experience with data visualization tools such as Tableau, Power BI, or D3.js.
- Ability to communicate complex findings to both technical and non-technical stakeholders.
- Demonstrated ability to work with large, complex data sets in a fast-paced environment.
- Understanding of data warehousing concepts and ETL processes.
- Excellent critical thinking and problem-solving abilities.
- Strong attention to detail and a commitment to data accuracy and integrity.
- Experience with cloud platforms such as AWS, GCP, or Azure is a plus.
- Knowledge of statistical testing and experimental design techniques.
- Ability to work independently and manage multiple priorities effectively.
- Advanced degree in a related field is preferred.
- Professional certifications in data analysis or data science are a plus.
Skills: statistics,python,data mining,machine learning,sql,data visualization,critical thinking,communication,gcp,azure
