2 Xtranet Technologies Data Analyst Jobs
Data Analyst - Python/R/SQL (5-7 yrs)
Xtranet Technologies
posted 5mon ago
Flexible timing
Key skills for the job
Overview :
The Data Analyst, also known as a Data Scientist, will play a critical role in analyzing complex data sets to provide valuable insights, drive decision-making, and support strategic planning within the organization.
Your role will be essential in identifying trends, patterns, and correlations to inform business strategies and improve operational efficiencies.
Key Responsibilities :
- Collect and interpret data from various sources.
- Develop algorithms and predictive models.
- Conduct statistical analysis and generate reports.
- Create data visualizations and dashboards.
- Identify patterns and trends in data sets.
- Collaborate with cross-functional teams to understand data requirements.
- Support data-driven decision-making processes.
- Optimize data collection and analysis processes.
- Implement machine learning techniques for data analysis.
- Identify and troubleshoot data quality issues.
- Communicate findings to non-technical stakeholders.
- Contribute to the development of data-driven strategies.
- Stay abreast of industry best practices and trends in data analysis.
- Contribute to the development of data governance policies.
- Identify opportunities for process improvements.
Required Qualifications :
- Proven experience in data analysis and interpretation.
- Proficiency in statistical analysis and data modeling.
- Strong programming skills in languages such as Python, R, or SQL.
- Experience with data visualization tools such as Tableau, Power BI, or D3.js.
- Knowledge of machine learning techniques and algorithms.
- Ability to work with large data sets and databases.
- Strong problem-solving and critical thinking abilities.
- Excellent communication and presentation skills.
- Ability to collaborate with cross-functional teams.
- Understanding of data governance and data quality principles.
- Attention to detail and accuracy in data analysis.
- Experience with cloud-based data platforms (e.g. , AWS, Azure, GCP) is a plus.
- Knowledge of data mining and data transformation techniques.
- Relevant certifications in data analysis and data science.
Functional Areas: Other
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