Data Consultant (IT)
| Posting date: | 17 April 2024 |
|---|---|
| Salary: | £26,000 to £30,000 per year |
| Additional salary information: | Eligible for Quarterly Bonus |
| Hours: | Full time |
| Closing date: | 17 May 2024 |
| Location: | West London, London |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | Tegasys Solutions UK Ltd |
| Job type: | Permanent |
| Job reference: | 2139-DCW |
Summary
Requirements:
1. Systemize and restructure data into a comprehensible format.
2. Conduct statistical analysis of data to derive meaningful insights.
3. Proficient in data analytics tools such as Google Analytics , Excel, SQL.
4. Assess processes and technology, generating detailed reports to enhance
operational efficiency.
5. Utilize performance indicators and reports to filter data and identify and
rectify code-related issues.
6. Analyse local, national, and global trends, patterns, and predictions using
pertinent data sources.
7. Possess a Bachelor's degree in marketing, statistics, computer science, or a
related field.
Responsibilities:
1. Scrutinize large datasets to identify patterns, trends, and valuable insights
for informed decision-making.
2. Use Google Analytics , Excel, SQL platforms for data management task.
3. Collaborate with customers to comprehend their business needs and offer
innovative ideas and recommendations.
4. Stay abreast of the latest trends and technologies in data mining and
analytics to ensure optimal utilization of advanced tools and methodologies.
5. Expand data analysis capabilities by incorporating emerging technologies
and methodologies, such as utilizing cloud-based platforms like AWS or
Azure.
6. Expand data analysis capabilities by incorporating emerging technologies
and methodologies.
7. Contribute to the continuous improvement of data management processes
and standards, ensuring data integrity and accuracy.
1. Systemize and restructure data into a comprehensible format.
2. Conduct statistical analysis of data to derive meaningful insights.
3. Proficient in data analytics tools such as Google Analytics , Excel, SQL.
4. Assess processes and technology, generating detailed reports to enhance
operational efficiency.
5. Utilize performance indicators and reports to filter data and identify and
rectify code-related issues.
6. Analyse local, national, and global trends, patterns, and predictions using
pertinent data sources.
7. Possess a Bachelor's degree in marketing, statistics, computer science, or a
related field.
Responsibilities:
1. Scrutinize large datasets to identify patterns, trends, and valuable insights
for informed decision-making.
2. Use Google Analytics , Excel, SQL platforms for data management task.
3. Collaborate with customers to comprehend their business needs and offer
innovative ideas and recommendations.
4. Stay abreast of the latest trends and technologies in data mining and
analytics to ensure optimal utilization of advanced tools and methodologies.
5. Expand data analysis capabilities by incorporating emerging technologies
and methodologies, such as utilizing cloud-based platforms like AWS or
Azure.
6. Expand data analysis capabilities by incorporating emerging technologies
and methodologies.
7. Contribute to the continuous improvement of data management processes
and standards, ensuring data integrity and accuracy.