Data Analyst Position
4 weeks ago
We are seeking a Data Analyst to support our operational and customer-centric projects, delivering enhanced efficiencies, process optimization, and analytics for commercial growth.
Job DescriptionAs a Data Scientist, you will combine your skills in statistical modeling and programming to generate business value from organizational data. The solutions you develop will inform real, high-impact business decisions, driving top-line growth, optimizing operational efficiency, and enhancing customer experience.
Key Responsibilities- Conduct in-depth exploratory data analysis (EDA) on datasets, translating findings into clear, actionable insights.
- Develop and deploy cutting-edge AI web applications to drive decision-making in multiple areas of the business, including Sales, Finance, Manufacturing, Engineering, and Marketing.
- Communicate insights to technical and non-technical stakeholders in a coherent and actionable way.
- In collaboration with Data Engineering colleagues, build cloud-based Extract Load Transform (ELT) pipelines that provide high-quality datasets for analysis and modeling.
- Develop tools and code libraries to help Data Science colleagues work more efficiently.
- Write, deploy, and maintain production-grade code, adopting best practices in source code management and version control.
- Mentor and/or manage junior members of the Data and Analytics team.
Graduate or postgraduate university degree in a quantitative discipline (such as Mathematics, Computer Science, or Engineering), plus a minimum of 3 years' experience in a Data Science or Data Analysis role.
Certifications in Data Science
Comfort manipulating, analyzing, and visualizing complex, high-volume, high-dimensionality data from varying sources.
Demonstrated experience with advanced analytical techniques such as machine learning, deep learning, and/or Bayesian statistics.
Highly proficient in Python
Highly proficient in SQL and the use of relational databases
Advanced user of Microsoft Excel
Existing knowledge/skills in the following are not essential, but would be highly advantageous:
- Generative AI solutions
- Microsoft Power BI
- Microsoft Azure cloud services (including Azure Synapse Analytics)
- Other programming languages (e.g., R, Java, C++)
Estimated Salary: £60,000 - £80,000 per annum, depending on experience and qualifications.
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