Senior Data Analyst

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Institute of Psychiatry, Psychology & Neuroscience

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📡 Telecommunications

Healthcare • Mental Health • Telecommunications

Institute of Psychiatry, Psychology & Neuroscience is the UK's leading provider of digital psychiatry services, focused on improving access to mental healthcare. It connects patients to highly qualified doctors online through secure video links, offering specialist medical consultations, assessments, and ongoing psychological support across a wide range of mental disorders. The organization emphasizes convenience and accessibility, aiming to provide timely support to those in need of care for their mental health.

📋 Description

• Design and maintain impactful data solutions—including Power BI dashboards, automated reports, and ETL workflows—to deliver clear, actionable insights across the organisation. • Partner with senior stakeholders to gather and refine requirements, translate business needs into technical specifications, and manage expectations effectively throughout project lifecycles. • Apply data storytelling techniques and advanced analytics to highlight trends, improve patient outcomes, and support strategic decision-making. • Write, review, and optimise complex SQL queries for data extraction, transformation, and analysis across multiple data sources. • Ensure data quality and governance by implementing best practices in data management and validation. • Mentor junior analysts, supporting their professional development and promoting best practices in analytics. • Contribute to advanced analytics projects, including predictive modelling and automation using Python. • Stay up to date with trends and best practices in data analytics, business intelligence, and healthcare technology.

🎯 Requirements

• Established experience in a data analyst or senior analyst role. • Expert in Power BI (DAX, Power Query) and building complex, user-friendly dashboards. • Advanced SQL skills for querying large, relational data sources. • Proficient in Python for data analysis, automation, and/or machine learning workflows. • Advanced Excel skills (Power Query, pivot tables) • Experience designing and maintaining ETL pipelines and automated reporting workflows. (Databricks a bonus) • Strong analytical and problem-solving abilities, with a talent for distilling complex data into meaningful insights. • Strong organisational skills and the ability to manage multiple priorities and timelines.

🏖️ Benefits

• Health Cash Plan • Well Hub Subscription • Employee Assistance Programme • Annual Volunteering Day • Enhanced Sickness and Family Leave pay • Length of Service Bonus • Work from Home allowance • Pension options