Overview
A Data Analyst Job Description provides a comprehensive overview of the role and responsibilities of professionals specializing in collecting, processing, and performing statistical analyses on large sets of data. Here’s a structured template with key aspects of the role:
Mandatory Skills
Python/AIML requirement and candidates must have data engg Background like Spark/scala/Hadoop
Good To Have
Python with Data Science
Role Overview:
Collect, process, and analyze data to derive actionable insights for organizational decision-making.
Develop and implement data collection systems and strategies to optimize efficiency and data quality.
Interpret data, apply statistical techniques, and provide ongoing reports to support business objectives.
Key Responsibilities:
Data Collection and Processing:
Gather data from various sources, ensuring accuracy and completeness
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Job Description
Role Purpose
The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters
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Role : Senior Developer
Mandatory Skills : Python/AIML requirement and candidates must have data engg Background like Spark/scala/Hadoop
Good To have : Python with Data Science
Experience : 10+ years
Notice period : Immediate joiners or at least 15 to 30 days
Job Description :
A Data Analyst Job Description provides a comprehensive overview of the role and responsibilities of professionals specializing in collecting, processing, and performing statistical analyses on large sets of data. Here’s a structured template with key aspects of the role:
- Data Visualization and Reporting:
- Create visualizations and dashboards to effectively communicate insights.
- Prepare regular reports and ad-hoc analyses to support strategic
- decision-making.
- Problem-Solving and
Qualifications and Requirements:
- Bachelor’s degree in mathematics, statistics, computer science, economics, or a related field.
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Mandatory Skills : Python/AIML requirement and candidates must have data engg Background like Spark/scala/Hadoop
Good To have : Python with Data Science
Job Description :
A Data Analyst Job Description provides a comprehensive overview of the role and responsibilities of professionals specializing in collecting, processing, and performing statistical analyses on large sets of data. Here’s a structured template with key aspects of the role:
- Data Visualization and Reporting:
- Create visualizations and dashboards to effectively communicate insights.
- Prepare regular reports and ad-hoc analyses to support strategic
- decision-making.
- Problem-Solving and
Qualifications and Requirements:
- Bachelor’s degree in mathematics, statistics, computer science, economics, or a related field.
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3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution
Prepare regular reports and ad-hoc analyses to support strategic
decision-making.
Problem-Solving and Recommendations:
Collaborate with cross-functional teams to address business challenges using data-driven insights.
Provide actionable recommendations based on data analysis and interpretation.
Technical Skills:
Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
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Deliver
Statistical Analysis and Interpretation:
Utilize statistical methods to analyze data and identify trends, patterns, and correlations.
Present findings through reports, visualizations, and presentations to stakeholders.
Data Visualization and Reporting:
Create visualizations and dashboards to effectively communicate insights.
Prepare regular reports and ad-hoc analyses to support strategic
decision-making.
Problem-Solving and Recommendations:
Collaborate with cross-functional teams to address business challenges using data-driven insights.
Provide actionable recommendations based on data analysis and interpretation.
Technical Skills:
Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
xperience with data visualization tools like Tableau, Power BI, or QlikView.
Familiarity with statistical software such as SAS, SPSS, or Stata for advanced data analysis.
Qualifications and Requirements:
Bachelor’s degree in mathematics, statistics, computer science, economics, or a related field.
Proven experience as a data analyst or in a similar role, showcasing successful data analysis projects.
Strong analytical mindset with attention to detail and accuracy in data interpretation.
Excellent communication and presentation skills to convey complex data insights to diverse audiences.
- 4 - 7 Yrs
- Pune
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India