Data Analyst
2025-04-08T16:24:34+00:00
CNS Group
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https://www.www.cnsgroup.co.tz/
FULL_TIME
Dar es salaam
Dar es Salaam
00000
Tanzania
Computers
Computer & IT
2025-04-17T17:00:00+00:00
Tanzania
8
To analyze large sets of structured and unstructured data, applying advanced analytics techniques to uncover trends, patterns, and insights that support business decisions.
Key Responsibilities / Duties:
1. Data Analysis and Modeling:
o Develop predictive models and algorithms to extract insights from large datasets.
o Validate model performance through rigorous statistical analysis and testing.
2. Data Mining and Extraction:
o Implement data mining techniques to identify trends, patterns, and correlations within big data sets.
o Design and construct data architecture and pipelines for efficient data extraction and preprocessing.
3. Visualization and Reporting:
o Create dynamic and interactive data visualizations to communicate findings to non-technical stakeholders.
o Develop automated reporting systems for regular distribution of key metrics and insights.
4. Cross-functional Collaboration:
o Work closely with different departments to understand business needs and provide data-driven solutions.
o Facilitate data literacy and best practices across the organization.
5. Innovation and Research:
o Stay updated with the latest trends and technologies in data science and machine learning.
o Propose and pilot new projects that leverage data to drive innovation and strategic decisions.
Job Requirements
- Education:
- Degree in Data Science, Computer Science, Statistics, or a related field.
- Experience:
- 5+ years of experience in similar field.
- Proven experience as a Data Scientist, with a portfolio of relevant projects.
- Technical Skills:
- Strong experience with programming languages such as Python, R, or Scala.
- Proficient in using data science and visualization tools (e.g., TensorFlow, Tableau).
• Experience with Power BI
- Knowledge:
- Exceptional analytical and problem-solving skills.
- Excellent communication and visualization skills to articulate findings to both technical and non-technical audiences.
Data Analysis and Modeling: o Develop predictive models and algorithms to extract insights from large datasets. o Validate model performance through rigorous statistical analysis and testing. 2. Data Mining and Extraction: o Implement data mining techniques to identify trends, patterns, and correlations within big data sets. o Design and construct data architecture and pipelines for efficient data extraction and preprocessing. 3. Visualization and Reporting: o Create dynamic and interactive data visualizations to communicate findings to non-technical stakeholders. o Develop automated reporting systems for regular distribution of key metrics and insights. 4. Cross-functional Collaboration: o Work closely with different departments to understand business needs and provide data-driven solutions. o Facilitate data literacy and best practices across the organization. 5. Innovation and Research: o Stay updated with the latest trends and technologies in data science and machine learning. o Propose and pilot new projects that leverage data to drive innovation and strategic decisions.
Technical Skills: Strong experience with programming languages such as Python, R, or Scala. Proficient in using data science and visualization tools (e.g., TensorFlow, Tableau). • Experience with Power BI Knowledge: Exceptional analytical and problem-solving skills. Excellent communication and visualization skills to articulate findings to both technical and non-technical audiences.
Education: Degree in Data Science, Computer Science, Statistics, or a related field. Experience: 5+ years of experience in similar field. Proven experience as a Data Scientist, with a portfolio of relevant projects.
JOB-67f54dc2a2eed
Vacancy title:
Data Analyst
[Type: FULL_TIME, Industry: Computers, Category: Computer & IT]
Jobs at:
CNS Group
Deadline of this Job:
Thursday, April 17 2025
Duty Station:
Dar es salaam | Dar es Salaam | Tanzania
Summary
Date Posted: Tuesday, April 8 2025, Base Salary: Not Disclosed
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JOB DETAILS:
To analyze large sets of structured and unstructured data, applying advanced analytics techniques to uncover trends, patterns, and insights that support business decisions.
Key Responsibilities / Duties:
1. Data Analysis and Modeling:
o Develop predictive models and algorithms to extract insights from large datasets.
o Validate model performance through rigorous statistical analysis and testing.
2. Data Mining and Extraction:
o Implement data mining techniques to identify trends, patterns, and correlations within big data sets.
o Design and construct data architecture and pipelines for efficient data extraction and preprocessing.
3. Visualization and Reporting:
o Create dynamic and interactive data visualizations to communicate findings to non-technical stakeholders.
o Develop automated reporting systems for regular distribution of key metrics and insights.
4. Cross-functional Collaboration:
o Work closely with different departments to understand business needs and provide data-driven solutions.
o Facilitate data literacy and best practices across the organization.
5. Innovation and Research:
o Stay updated with the latest trends and technologies in data science and machine learning.
o Propose and pilot new projects that leverage data to drive innovation and strategic decisions.
Job Requirements
- Education:
- Degree in Data Science, Computer Science, Statistics, or a related field.
- Experience:
- 5+ years of experience in similar field.
- Proven experience as a Data Scientist, with a portfolio of relevant projects.
- Technical Skills:
- Strong experience with programming languages such as Python, R, or Scala.
- Proficient in using data science and visualization tools (e.g., TensorFlow, Tableau).
• Experience with Power BI
- Knowledge:
- Exceptional analytical and problem-solving skills.
- Excellent communication and visualization skills to articulate findings to both technical and non-technical audiences.
Work Hours: 8
Experience in Months: 60
Level of Education: bachelor degree
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