Top reasons to work for this Client:
- Basic salary to 55k per annum.
- Performance Bonus.
- Flexible hybrid working pattern.
- Manchester office; Trafford Park.
- Established, fast paced collaborative Technology Business.
- Joining at an exciting time of company growth, delivering a data transformation project.
- Pivotal role, working on internal and client projects, taking ownership of BI Suite.
- Rewarding blend: design, develop, enhance & maintain business intelligence solutions.
- Opportunity to impact in an autonomous role in the entire end to end data journey.
- 25 days holiday + BH, contributory pension, cycle scheme, choose your own tech, home office setup support, supporting charity work.
- Investment on your career development and benefit from 1:1 coaching.
Broad Core Responsibilities:
- Develop, enhance, and maintain interactive data visualisations and dashboards using QuickSight.
- Define and implement key business metrics, ensuring they align with strategic objectives.
- Work closely with clients to gather requirements, refine project scopes, and communicate insights effectively.
- Create and maintain scalable and efficient databases to support analytics needs.
- Perform exploratory data analysis to uncover trends, anomalies, and actionable insights.
- Ensure data accuracy, consistency, and integrity across reports and dashboards.
- Collaborate with other teams to support data-driven decision-making processes.
- Stay up to date with best practices and emerging technologies in data visualisation and analytics.
Expected Qualifications, Skills & Experience:
- Strong experience with BI tools (ideally AWS QuickSight)
- Proficiency in SQL for data querying, transformation, and optimisation.
- Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable.
- Ability to work autonomously, take ownership of projects, and proactively find solutions.
- Strong analytical and problem-solving skills, with an ability to translate business needs into data solutions.
- Excellent communication skills and confidence in engaging with stakeholders to define project requirements and present insights.
- Experience in defining and maintaining data models, ETL pipelines, and databases is a plus.
