Senior Analytics Developer, Jobs, 8963

Senior Analytics Developer - Scotland

up to £50k

Date Posted: Tuesday 27 September 2022

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My client is a software company which has been specialising in the aviation sector for over 15 years. Their products have encompassed portable in-flight entertainment (IFE) systems, wireless streaming systems, in-flight retail, cabin services, and maintenance systems.

The Role:

  • Maintenance and development of new and existing analytics portals and dashboards
  • Collection, Collation and Curation of raw data from several sources
  • Generate Ad-hoc reports for internal stakeholders and customers
  • Enhance performance and operational analytics and reporting 

Duties:

  •  Maintain existing and build new collection and processing pipelines.
  • Adopt and develop strategies to detect and deal with missing/late data.
  • Evolve efficient storage and querying techniques to meet changing demands.
  • Combine data from different sources, both internal and external to meet our analysis needs.
  • Develop and provide standard automated reports/dashboards to meet the requirements of external parties and internal departments.
  • Provide ad-hoc reports/extracts on demand to support operations or for investigative purposes.
  • Maintain, manage and enhance customer stats portal, generating on-demand reports.
  • Work with developers to define and control data logging in the system, ensuring efficient and complete data capture for analytical requirements.
  • Work with stakeholders to understand data/reporting needs and produce analysis and reporting artefacts.
  • Work with external customers to determine needs/requirements, providing reports and data extracts for customers analytics platforms.
  • Explore ways to enhance data quality and reliability.
  • Interpret trends and patterns to derive insight from the various data we gather. 

Skills:

  • Skilled full stack developer, experience of developing web front end dashboards, using ASP.net , php, Laravel, Symfony , React.
  • Scripting experience with programming languages such as Python, javascript, or equivalent tools/ languages typical of a data analysis environment.
  • Knowledge of ETL processes and techniques, both batch and streaming, knowledge of systems like Apache Kafka and Spark would be advantageous.
  • Understand data models and data mining.
  • Understanding of SQL and non-SQL data storage engines and techniques and when to use them e.g. MySQL/Maria DB, MongoDB, SQL Server
  • Experience of using report generation and delivery tools e.g., SQL Server Reporting Services, Crystal Reports.
  • Exposure to dashboarding systems would be beneficial e.g., Mongodb Charts, Tableau, Qlick, Dash, Plotly.
  • Exposure to tools such as JIRA, Bitbucket, Git
  • Knowledge of and experience with Linux
  • Understanding of basic analysis and statistical techniques
  • Able to work under limited supervision and comfortable interacting and communicating with colleagues and partners at all levels of business.

Benefits Package:

  • Hybrid working
  • 33 days Annual leave (Inclusive of Public holidays)
  • Birthday day off
  • Employee Assistance Programme (EAP)
  • Perkbox staff discounts & benefits
  • Death in Service
  • Pension