Senior Data Analyst

we are looking for a Data Analyst

The Role

As part of the Business Analytics Team, which serves as the centre of excellence for analytics and process evolution, the Senior Data Analyst will play a key role in a variety of business intelligence and analytical projects. This role is crucial in extracting value from our data and presenting insights in a meaningful way to the business. It is a highly visible position, frequently requiring presentations to the executive team.

The Responsibilities

1. Technical Leadership in SQL:

• Serve as the technical lead for the department in writing complex SQL queries from a transactional database.
• Ensure high technical competency and meticulous attention to detail in SQL scripting.
• Collaborate with data engineers to build the data warehouse and support ongoing analytical projects.
• Transform SQL queries into actionable insights and outputs that drive business decisions.

1. Power BI Reporting and Visualisation:

• Act as the technical expert in Power BI, leveraging advanced functionalities such as row-level security, calculation groups, and complex DAX measures.
• Lead the creation of insightful and interactive Power BI reports and dashboards that present complex data clearly and actionably for stakeholders at all levels.
• Develop the Power BI reporting environment, ensuring best practices and optimal performance.

1. Advanced Analytics Solutions:

• Utilise statistical and analytical techniques to identify opportunities that can boost conversion and productivity within the organization.
• Drive the development of advanced analytics solutions to derive actionable insights from data using statistical methods and machine learning models.
• Apply knowledge of Python and machine learning modelling, leveraging environments such as ML Studio for machine learning and predictive modelling projects.
• Collaborate with cross-functional teams to integrate advanced analytics into business processes and applications.
• Bridge the gap between business and technology, using actionable insights to support business decisions and provide guidance on growth opportunities.

1. Performance Monitoring and Optimisation:

• Establish metrics to evaluate the performance and impact of analytics solutions, making data-driven recommendations for continuous improvement.
• Proactively identify opportunities and insights to generate revenue or reduce costs across a range of business units, including sales, finance, and HR.

The Requirements

• Proven experience (at least 5 years) in data analytics and business intelligence.
• Proficiency in writing and optimizing complex SQL queries.
• Proficiency in designing and developing Power BI reports and dashboards, with advanced technical knowledge in row-level security, calculation groups, and complex DAX measures.
• Previous experience working with a cloud-based data platform such as Microsoft Azure/Synapse.
• Expertise in data analysis and deriving insights from data, with the initiative to deep dive into data and present findings to stakeholders.
• Comfortable presenting complex ideas to executive-level stakeholders.

Benefits

• Flexible working (3 days in the office)
• 25 days holiday
• Comprehensive, ongoing training programme
• Great career opportunities
• Vibrant company culture including paid-for social events
• Diversity and inclusion networks
• One paid workday a year to volunteer for a charity of your choice
• Wellbeing package including enhanced sick pay, free confidential counselling helpline, Mental Health First Aiders, and subsidised gym membership
• Enhanced parental policies, including generous shared parental leave
• Subsidised staff canteen and bar

Please Email me only if you are interested and I will get back to you in the next 24 hours thank you