At a Glance
- Tasks: Design and build scalable data pipelines while automating workflows with Python.
- Company: Join a data-driven organisation investing in modern analytics and data platforms.
- Benefits: Enjoy a hybrid working model, competitive salary, and a collaborative culture.
- Other info: Great opportunity for continuous improvement and innovation in your career.
- Why this job: Make a real impact on high-stakes data initiatives in a mature environment.
- Qualifications: 5+ years in data analytics, strong SQL and Python skills required.
The predicted salary is between 121500 - 148500 $ per year.
An opportunity exists for a technically strong
Data & Analytics Consultant to join a data-driven organisation undergoing significant investment in modern analytics and data platforms.
This role will suit someone with strong hands-on capability across data pipelines, analytics, and automation, combined with the ability to partner closely with stakeholders to deliver practical, high-impact data solutions.
You will play a key role in designing and implementing modern data architectures, enabling advanced analytics use cases, and improving operational efficiency through automation and self-service analytics.
Key Responsibilities
- Design and build scalable data pipelines using modern cloud data platforms.
- Develop and maintain ETL / ELT workflows integrating data from multiple internal and external sources.
- Automate data workflows using Python and low-code automation tools to reduce manual effort.
- Build and optimise data models to support BI reporting, analytics, and AI use cases.
- Provide Python-based analytics and statistical modelling support.
- Troubleshoot and resolve complex data, pipeline, and data model issues.
- Partner with business stakeholders to translate requirements into actionable data solutions.
- Create documentation, best practices, and standards to support data literacy and self-service.
- Ensure compliance with data governance, security, and privacy standards.
About You
- 5+ years’ experience in data analytics, data engineering, or analytics consulting roles.
- Advanced SQL skills and strong experience building data pipelines in cloud platforms (Azure, Snowflake, Databricks, Fabric or similar).
- Strong Python capability (Pandas, automation, analytics).
- Experience with data modelling for analytics and reporting.
- Exposure to workflow automation tools and CI/CD practices.
- Strong communication skills with the ability to explain technical concepts to non-technical audiences.
- A collaborative mindset with a passion for enabling data-driven decision making.
- What’s on Offer
- Work on high-impact data and analytics initiatives in a mature, data-rich environment.
- Exposure to modern data platforms, automation, and advanced analytics use cases.
- Hybrid working model supporting flexibility and balance.
- Collaborative culture focused on continuous improvement and innovation.
- #J-18808-Ljbffr
Data Analyst employer: Recoded
Join a forward-thinking organisation that prioritises data-driven decision making and offers a collaborative culture focused on continuous improvement and innovation. As a Data Analyst, you'll have the opportunity to work on high-impact initiatives within a mature, data-rich environment, while enjoying a hybrid working model that supports flexibility and work-life balance. With a strong emphasis on employee growth and exposure to modern data platforms, this role is perfect for those looking to advance their career in analytics.
