Data Analyst

Come and join our leading data quality consultancy and be part of a team that drives transformative change through better data. Our consultants leverage proven methodologies like data profiling, lineage analysis, and rule development to identify and resolve data quality issues at the root cause. You'll work closely with clients across industries, actively engaging stakeholders to improve data monitoring practices and foster a culture of data-driven decision-making.

With a focus on healthcare, you'll support organisations like the NHS Trusts in ensuring accurate and reliable data for improved patient care and population health management. Our comprehensive approach empowers clients to establish sustainable data quality, enabling them to unlock insights, enhance operational efficiencies, and deliver better outcomes. Join us and be at the forefront of delivering data excellence.

Data Analyst with a strong background in data analysis, statistics, and problem-solving, responsible for collecting, organising, and analysing large datasets to help organisations make informed, data-driven decisions.

Responsibilities

• Collecting, analysing, and interpreting complex data from various sources, including databases, spreadsheets, and APIs, to identify trends, patterns, and opportunities.


• Use of statistical techniques and data visualisation tools to explore and analyse complex datasets, identifying patterns, trends, and correlations to extract meaningful insights.


• Develop data models and algorithms to predict future trends, behaviours, or outcomes based on historical data, applying statistical methods. and machine learning techniques.


• Designing and developing data visualisation tools, dashboards, and reports to communicate findings effectively.


• Collaborating with cross-functional teams to understand business needs and challenges.


• Up to date with the latest data analysis tools, techniques, and industry trends.


• Ensuring data quality, integrity, and governance throughout the data lifecycle.
  
  Bachelor's degree in one of the following areas: Data Science; Computer Science; Applied Mathematics or Statistics; or, Information Management.


• Python


• SQL / Relational Databases


• NoSQL Databases