Key Responsibilities
- Work as part of the data team collaborating with the product team, data science and data engineering team to create compelling visualisations of data
- Treat large and diverse amounts of data to improve existing products and develop new ones.
- Use a good understanding of Relational Databases, creation of data models and robust SQL skills to implement robust code and pipelines following a DevOps approach
- Share ideas with the team and contribute to the strategic goals by ideating and defining products across different businesses.
Qualifications
- Bachelor or Master’s degree in a related field, e.g.: computer science, software development, data analytics, statistics, or equivalent experience.
Experience & Expertise
Essential:
- Strong visualisation skills. Capable of designing effective visualisations summarising large amounts of data and insights in concise visual reports
- Ability to design performance dashboards
- Solid experience in Tableau and or Power BI or other visualisation tool
- Experience in designing dashboards with the UX/UI concepts in mind
- Strong experience in data modelling and SQL development of complex models and queries.
- Experience defining data warehousing data models
- Creation of complex ETL and ELT processes
- Understanding of master data management
- Experience in query and data source performance optimization, resource allocation and management
- Experience working in a cloud infrastructure
- Experience in the software development lifecycle and productionalisation and DevOps approaches (Automated testing, version control, CI/CD …).
- Experience dealing with large amounts of data.
- Experience in working in cross-functional teams in a fast-paced customer-focused and dynamic environment.
- Enjoy iterating over technical solutions to deliver value incremental to awesome customers (internal & external)
Desirable:
- Experience in Azure Ecosystem.
- Experience in Databricks or Synapse Analytics. Understanding of the delta lake concept (Azure).
- Master data management
- Understanding of the entire data science project lifecycle, including requirements
- gathering, design, implementation, evaluation, testing, deployment, and presentation of results.
- NoSQL technologies
- Experience with unstructured data (free text, images, and video)
- Some Experience with Geospatial analysis in a visualisation environment
- Familiarity with Machine learning and data science.
- Python skills
- Familiar with DevOps approach, this includes the use of Git, Agile, automated testing, and CI/CD.
Skills & Approach:
- A self-motivated highly organised individual able to work well with all levels in the organisation.
- Excellent communication skills and the ability to present solutions to both technical and non-technical stakeholders.
- Strong problem-solving skills.
- Ability to effectively deliver the results of data analysis/solution design to both technical and non-technical stakeholders.
- Ability to work as part of the team and as your entity on several projects simultaneously.
- Excellent problem solving, data analysis and statistical skills.
- Good ability to document information.
Note: This role is an important hire which will be offered in September 2021.
IT Search is the go-to technology, digital & data talent partner of global companies. Adrian Clarke manages our established data analytics & emerging technologies hiring practice with mandates across Europe & handles practitioner to Chief level assignments internationally with a healthy focus on disruptive & disruptive technologies away from our stronghold in established industries.
#data #datavisualisation #tableau #powerBI #SQL
