Senior Data Analyst

3 weeks ago

Bangalore, Karnataka, India Zyoin Full time

Job Description :


Key Responsibilities :

Data Collection :

- Gather, clean, and preprocess data from various sources to ensure its accuracy and reliability.

- Collaborate with internal teams to understand data requirements and source necessary information.

Data Analysis :

- Utilize statistical methods and data analysis tools to identify trends, patterns, and correlations within datasets.

- Perform exploratory data analysis to uncover insights and provide actionable recommendations.

Data Interpretation and Reporting :

- Translate complex data into understandable insights for non-technical stakeholders.

- Prepare and present reports, dashboards, and visualizations to communicate findings effectively.

Quality Assurance :

- Conduct data validation and quality checks to ensure the integrity and reliability of analytical results.

- Implement and maintain data quality standards and best practices.

Data Modeling and Forecasting :

- Develop and implement statistical models for forecasting, trend analysis, and predictive analytics.

- Collaborate with the data science team to enhance and optimize existing models.

Collaboration :

- Work closely with cross-functional teams, including business analysts, IT, and decision-makers, to understand business needs and provide data-driven solutions.

- Participate in meetings and discussions to contribute insights and recommendations based on data analysis.

Continuous Learning :

- Stay updated on industry trends, best practices, and emerging technologies related to data analysis.

- Identify opportunities for process improvement and automation to enhance efficiency.

Qualifications :

- Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Data Science).

- Proven experience as a Data Analyst or in a similar role.

- Proficiency in data analysis tools such as Python, R, SQL, or others.

- Strong knowledge of statistical methods and data visualization techniques.

- Excellent communication skills and the ability to present complex data findings in a clear and concise manner.

- Attention to detail and problem-solving skills.

Preferred Skills :

- Experience with data warehousing and big data technologies.

- Knowledge of machine learning concepts and algorithms.

- Familiarity with business intelligence tools (e.g., Tableau, Power BI).

(ref:hirist.tech)

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