Data Insights Analyst

2 months ago

Glasgow, Glasgow City, United Kingdom Seriosgroup Full time

About Seriös Group

Seriös Group is a boutique data and test solutions provider working across multiple industry sectors.

Role Overview:

As a Data Insights Analyst within Seriös Group, you will be responsible for collecting, organising and analysing requirements and datasets to extract meaningful insights that drive decision making of our clients' Data Solutions, namely cloud data platforms, IoT analytics, data integration and migration projects.

Key Responsibilities:

  • Own analysis to elicit requirements and analyse datasets from clients to define use cases and produce recommended insights.
  • Create prototype datasets and insights prior to full build using tools such as Power BI or Tableau.
  • Build agreed datasets and insights from requirements and designs agreed with the client using tools such as Power BI or Tableau.
  • Support external user groups for insight tools such as the Northeast Tableau User Group.
  • Follow the standards for detailed solution documentation and data governance.
  • Stay abreast of new technologies, methodologies and best practices in cloud and data, in line with our technology agnostic approach.
  • Ensure quality in your delivery to meet the company's required standard for data quality, design, reliability, and accuracy.

Requirements:

  • Experience in eliciting requirements for data to understand and determine business rules from analysing data.
  • Experience in analysing data from tools such as Python, R, SQL or similar languages.
  • Experience of data visualisation tools such as Power BI, Tableau, QlikSense or similar.
  • Demonstratable understanding of report and dashboard build to present data with metrics to support compelling user stories.
  • Demonstrable understanding of unstructured, semi-structured and structured data source types for databases, files, formats, and APIs.
  • Demonstrable understanding of types of data models to navigate and analyse data solutions.
  • Experience of Python libraries like pandas, numpy, tensorflow, matplotlib and bokeh.
  • Experience or understanding of the cloud either Azure, AWS or GCP.
  • Experience of agile methods and systems such as JIRA of Azure DevOps.
  • Experience of designing data models optimized for reporting and analysis.
  • Experience of data governance and data quality principles.

Person Specification:

  • Ability to analyse complex datasets, develop insights and visualise data.
  • Ability to provide constructive ideas and output from data analysis to team members.
  • Ability to present and communicate data analysis, including to non-technical stakeholders.

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