Associate Data Analyst

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Verra Mobility

πŸ“United Kingdom

Job highlights

Summary

Join Verra Mobility, a global leader in smart mobility, as an Associate Data Analyst to design and develop reporting, data visualizations, and machine learning models for traffic management solutions. This role will involve working with large data sets, developing advanced data reporting capabilities, and providing architectural expertise to Business Analysts and software development teams.

Requirements

  • Bachelor’s Degree or equivalent in Computer Science
  • Proficiency in scripting/programming languages a bonus (Python, R, Java, JavaScript, Scala, etc.)
  • SQL skills essential (MSSQL, Postgres, BigQuery, Redshift)

Responsibilities

  • Define the technology vision and strategy for big data analysis for traffic management solutions
  • Work with a multi-disciplinary team of engineers, and designers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
  • Develop machine learning models encompassing data from traffic management sensors and other data sources
  • Experience working with large data sets, experience working with distributed computing a plus (Map/Reduce, Hadoop, Hive, Apache Spark, etc.)
  • Develop advanced data reporting capabilities and data visualizations; combining multiple disparate data sources to gain detailed insights into photo enforcement programs
  • Provide architectural expertise, direction, and assistance to Business Analysts and software development teams
  • Conduct research on emerging technologies in support of systems development efforts and recommend technologies that will increase cost effectiveness and systems flexibility
  • Interface and coordinate tasks with internal and external technical resources. Collaborate with Project Managers, vendors and IT stakeholders to provision estimates and develop overall implementation plan for delivery of analytics initiatives

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