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Data Analyst

CV-Library

Posted on May 7, 2021 by CV-Library

Northumberland, United Kingdom
Pharmaceutical
Immediate Start
Annual Salary
Full-Time

Our client is a leading provider of manufacturing services for the pharmaceutical industry and due to growth now require a Data Analyst to join their busy facility.

The Role

The Data Analyst is responsible for performing data analysis activities with stakeholders, from supporting existing work to creating brand new analyses.
The position holder will work with colleagues to develop use cases, which clearly identify business goals and data requirements.
Will perform exploratory data analysis on a range of complex business problems
Work with team members and stakeholders on data analyses, from supporting existing work, to creating new analyses. The delivery and communication of these will be iterative with a view to finding the next best analysis step to satisfy the stakeholder's objective
Ensure that enough documentation is created for analyses as appropriate. Where appropriate and possible, documentation will reside alongside the analysis code and compiled together in a reproducible pipeline.
Contribute to data pipelines that clean, transform and aggregate data from disparate data sources into reporting data stores
Provide input on the company data strategy by suggesting and proving new technologies and innovations

The Person

Data engineering or general software engineering
Chemistry, Manufacturing or Smart Factory experience
Data pipelining (ETL); the creation, maintenance and orchestration of transformation tasks (e.g. in Apache Airflow or Azure Data Factory)
A demonstrable numerical/science interest and skillset. Either obtained through academia (e.g. BSc Statistics) and/or other experience
Ability to deeply understand a business problem, seek out the relevant data and iteratively deliver exploratory analyses that target that problem
Some experience with self-service data analysis tools: e.g. MS Excel, MS Power BI
Some experience with modern data programming languages: Python, R, SQL


Reference: 213701419

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