Data Analyst
| Posting date: | 18 April 2025 |
|---|---|
| Salary: | £36,500 per year |
| Hours: | Full time |
| Closing date: | 18 May 2025 |
| Location: | Sale, Greater Manchester |
| Remote working: | On-site only |
| Company: | DATA LAYER SOLUTIONS |
| Job type: | Permanent |
| Job reference: |
Summary
Your responsibilities will vary depending on your area of work, the sector you work in and your employer. However, you'll typically need to:
design and implement secure, efficient and compliant data collection systems, ensuring data quality and integrity by identifying errors and cleaning data
develop records management and reporting processes and policies
identify areas to increase efficiency and optimise data collection processes by automating data workflows and building efficient data pipelines
identify, evaluate and implement external services and tools to support data validation and cleansing
gather, understand and document detailed business requirements using appropriate tools and techniques
collaborate with internal and external stakeholders to understand and validate data requirements, ensuring accurate reporting
establish and monitor KPIs and other metrics to measure business performance
monitor and audit data quality and ensure data quality standards
design and carry out surveys and analyse survey data
manipulate, analyse and interpret complex data sets relating to the employer's or client's business
produce visualisations and reports (using tools like Tableau, Power BI, and SQL) and present findings to both technical and non-technical stakeholders in a clear, actionable manner
create data dashboards, graphs and visualisations
conduct sector and competitor analysis to provide insights for continuous improvement
keep up to date with industry trends and best practices in data analytics.
design and implement secure, efficient and compliant data collection systems, ensuring data quality and integrity by identifying errors and cleaning data
develop records management and reporting processes and policies
identify areas to increase efficiency and optimise data collection processes by automating data workflows and building efficient data pipelines
identify, evaluate and implement external services and tools to support data validation and cleansing
gather, understand and document detailed business requirements using appropriate tools and techniques
collaborate with internal and external stakeholders to understand and validate data requirements, ensuring accurate reporting
establish and monitor KPIs and other metrics to measure business performance
monitor and audit data quality and ensure data quality standards
design and carry out surveys and analyse survey data
manipulate, analyse and interpret complex data sets relating to the employer's or client's business
produce visualisations and reports (using tools like Tableau, Power BI, and SQL) and present findings to both technical and non-technical stakeholders in a clear, actionable manner
create data dashboards, graphs and visualisations
conduct sector and competitor analysis to provide insights for continuous improvement
keep up to date with industry trends and best practices in data analytics.