Insights Analyst
Role details
Job location
Tech stack
Job description
As an Insights 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., * Develop and maintain dashboards and reports to visualise and communicate insights derived from complex datasets.
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
- 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.
- Optimise and enhance existing analytics infrastructure and processes to improve efficiency and reliability.
- 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.
Requirements
- 2+ years of experience in data analysis, 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