Data Insights Analyst

3 weeks ago

London, United Kingdom Response Informatics Full time

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Work Location: London, UK

We are seeking a skilled Data Analyst to help drive business insights and strategy through analysis of large data sets. The Data Analyst will work cross-functionally to collect, structure, analyze, interpret, and clearly present data findings that inform business decisions across the organization.

Responsibilities:

  • Consult with key business stakeholders to understand questions and problems Data can help solve
  • Design and implement processes for collecting structured and unstructured data from a variety of internal systems and external sources
  • Organize, cleanse, and validate raw data to prepare for analysis
  • Perform exploratory analysis to uncover patterns, anomalies, and relationships in data using statistical modeling and data visualization tools
  • Develop insightful reports, presentations, and dashboards to concisely summarize analysis and effectively communicate findings
  • Make recommendations for business process optimizations supported by data trends and external benchmarks
  • Identify new opportunities or developments through continual analysis of data from various business areas

Requirements:

  • 3+ years professional experience as a Data Analyst, Business Analyst or related quantitative role
  • Strong grasp of data structuring, statistical modeling and analytics tools
  • SQL ,PL/SQL(MUST) and Python programming skills (Optional); experience building data pipelines
  • Knowledge of visualization and business intelligence tools like Qlik (MUST), Tableau, Power BI, or Looker
  • Problem-solving attitude leveraging both quantitative skills and business acumen
  • Ability to clearly communicate technical analysis to stakeholders at all levels
  • Organized and detail-oriented with strong documentation abilities
  • Well versed with GCP BigQuery, Big data Technologies

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