Insight Analyst

About us

Xiatech is the pioneer of Xfuze, the world’s first AI-powered composable Integration, Data Management, Analytics and Orchestration Platform that innovatively connects systems, creates a single view of data and delivers actionable insights in one cloud-native, SaaS solution. Business, technology and data teams use Xfuze to shorten time-to-insights, accelerate digital transformation, and extend the value of their legacy technology investments.

We’re a culture-first organisation and put our people at the forefront of everything we do. We believe that a great working environment leads to a happy and productive team which is why we offer our staff the flexibility to work remotely or from our beautiful office in Fitzrovia, Central London.

The Role

As an Insight Analyst, you will play a crucial role in driving data-driven decisions and insights through the development and optimization of analytics solutions. You will work closely with cross-functional teams to design, implement, and maintain robust analytics pipelines in SQL, leverage your expertise in Databricks using Python, and create impactful visualisations using Tableau  or Power BI and other relevant technologies.

This is a fantastic opportunity for a driven individual looking for a role in a company which can offer career progression, personal development and on-the-job training. This exciting role will have a genuine impact from day one and will enable the right person to progress their career in a rapidly expanding organisation.

Key Responsibilities

• Develop and maintain dashboards and reports to visualise and communicate insights derived from complex datasets.
• Design and implement scalable data pipelines using Databricks and SQL/Spark for efficient data processing and analysis.
• Utilise Python data science libraries such as Pandas, Numpy, Scikit-learn, and Keras for predictive modelling, machine learning, and statistical analysis.
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Optimise and enhance existing analytics infrastructure and processes to improve efficiency and reliability.
• Provide technical guidance and mentorship to junior team members.
• Stay updated with the latest advancements in analytics technologies and methodologies to continuously improve our analytical capabilities.

Your Knowledge & Experience

Must have

• 2+ years of experience in analytics engineering, data engineering, or a related role.
• Proficiency in Power BI or Tableau for data visualisation and dashboard development.
• Hands-on experience with SQL for data processing and analytics.
• Excellent problem-solving and analytical abilities, with a keen attention to detail.
• Strong communication and collaboration skills, with the ability to effectively interact with cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

Desirable

• Strong programming skills in Python, with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch.
• Experience with Databricks.
• Proficiency in Spark for data manipulation and querying.
• Prior experience in the retail industry, with a deep understanding of retail analytics.
• Previous consultancy experience, working directly with clients to deliver analytics solutions and insights.

Your Personality

• Innovative
• Driven
• Resilient
• Insightful
• Empathetic
• Analytical
• Self-Starter
• Creative
• Problem solver

If you would like the opportunity to join an established UK-based Software as a Service organisation who believe in using the latest leading-edge technology to drive business growth, please apply now.

If you receive an offer of employment, this will be conditional upon satisfactory completion of a right to work & identity check, a reference check and a basic criminal record check for any unspent convictions.

Xiatech is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind.