Data Analyst

Intellivos Solutions, City of Westminster

Data Analyst

Salary Not Specified

Intellivos Solutions, City of Westminster

  • Full time
  • Permanent
  • Remote working

Posted 2 days ago, 2 Oct | Get your application in today.

Closing date: Closing date not specified

job Ref: 6ee37fbcff6a4a4a85f1bd487c7ae85a

Full Job Description

As Data Analyst, your mission is to analyse data, employ statistical techniques, and manage databases to provide valuable insights into our clients marketing and growth operations. You'll harness your analytical and technical prowess to uncover trends, patterns, and relationships within extensive datasets, guiding informed decision-making. Your responsibilities also encompass ensuring data accuracy, maintaining data quality, and crafting and implementing analytics systems.,

  • Analyse complex data sets to extract trends, patterns, and insights to drive business growth.
  • Enhance data quality and maintain data integrity in marketing and sales databases.
  • Stay updated with data mining, transformation, predictive analytics, and machine learning trends, applying them to improve marketing insights and sse data mining to extract information, identify correlations, and predict trends.
  • Perform statistical analysis and visualise data effectively.
  • Develop predictive analytics models using machine learning techniques.
  • Prepare and present reports, identifying cost-saving opportunities.
  • Monitor data quality and communicate with stakeholders.

    Bachelor's degree in relevant fields or relevant commercial experience
  • Proficiency in SQL, Excel, PowerBI and data analysis tools.
  • Strong problem-solving skills and working with large datasets.
  • Excellent communication skills.
  • Attention to detail and ability to work independently.
  • Desirable:
  • Familiarity with data visualisation tools outside of Power BI.
  • Knowledge of data warehousing and modeling concepts.
  • Proficiency in statistical programming languages like R and Python.
  • Experience with data integration and ETL tools.
  • Knowledge of machine learning algorithms and techniques.