• Ubicación: London, England
  • Fecha de publicación: 18th Oct, 2021
  • Referencia: 181021SA

Data Analyst- 3-6 month contract- Fully remote (Inside IR35) £300-£400 per day


Requirement:



  • Manage and oversee the data pipeline that is feeding reporting and ML models (tech stack

  • based on Python/Airflow, Dremio)

  • Interface with Architecture and Dev teams to facilitate development of the tech stacks and

  • additional data sources

  • Use Python (main libraries such as pandas, Pyodbc, sqlalchemy, airflow etc) to develop custom

  • connection and data feeds through 3rd party APIs

  • Use SQL scripting to manipulate and extract data from large relational databases & automate

  • the process for importing data from multiple sources and various file formats. (Flat files / ODBC

  • / OLDB etc).

  • Interface with Data science team in order to enable Machine Learning projects / capabilities

  • (make right data available)

  • Deal confidently with different data sources and data models

  • Being a key player to support the data project roadmap spanning all stages of the data value

  • chain: from data architecture to data engineering, data processing and model design


Knowledge and Experience



  • Bachelor's degree in a quantitative field (math, statistics, comp. science, engineering,

  • economics, etc.). Master's degree a plus

  • Mid-level experience of relevant data environments such as MS SQL Server 2008/2016

  • Expert-level experience of SQL Server programming/scripting experience

  • Experience in programming DAG (Direct Acyclic Graphs) in Airflow

  • 2 years' experience in programming with python or similar languages

  • Minimum of 2/3 years in similar role or capacity required, working across different markets as

  • business partner.

  • Experience or academic background on data models and relational DB schemas

  • Attention to detail and data driven analytical & problem-solving skills

  • Ability to manage and prioritize own workload and escalate potential risk to the line manage