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Data Analyst
Manchester (Hybrid working)
Perm
Up to 40,000pa
You will be working in the Data Engineering team whose main function is developing maintaining and improving the end-to-end data pipeline that includes real-time data processing; extract transform load jobs artificial intelligence and data analytics on a complex and large dataset.
Your role will primarily be to build insightful analytics monitoring and alerting systems and dashboards to support the growth of the data pipeline and enable high quality analytics of our datasets to assist our data products teams detect trend changes and ensure stability across our key data points. This will be done by designing and building innovative analytical solutions and implementing the end-to-end development from requirements gathering planning and writing code to testing and deployment.
Key responsibilities includebut are not limited to:
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Adhering to Company Policies and Procedures with respect to SecurityQuality and Health & Safety.
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Writing application code and tests that conform to standards.
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Developing data monitoring systems that aid the identification and alerting of data trends.
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Build and maintain dashboards for analysis.
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Regularly reviewing colleagueswork and providing helpful feedback.
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Working with stakeholders to fully understand requirements.
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Be the subject matter expert for the data platform and supporting processes and be able to present to others to knowledge share.
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Continually review and measure the performance of the Data Pipeline and evaluate improvements in design, architecture and tooling.
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Contribute towards project designs and architecture.
Essential skills:
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The ability to problem solve
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SQL and Python development experience
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Experience developing AWS QuickSight Tableau Power BI or similar dashboards
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Understanding of database technologies and standards
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Willingness to learn new technologies and methodologies
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Knowledge of agile software development best practices including continuous integration automated testing and working with software engineering requirements and specifications
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Good interpersonal skills positive attitude and willing to help other members of the team
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Exposure to AWS or equivalent cloud technologies
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Experience working on large and complex datasets
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Knowledge of data engineering and software development best practices
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Understanding of Git Jenkins and other CI/CD tools
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Experience developing and deploying their own software.
