. Technical requirements include hands-on experience with PROC SQL, PROC REPORT, ODS OUTPUT, SAS macro language, and SAS/GRAPH

- Familiarity with data modelling and architecture tools and repositories - Familiarity with SQL and data serialisation

design, SQL, and modern analytical database technologies (particularly DuckDB), including building large, well-structured

experience of building data pipelines using Spark, Python or SQL Experience working with AWS and its data and AI/ML services

. ABOUT YOU – essential skills You are hands on with data – you use SQL and/or Python regularly and write code to pull data from a GCP, AWS

You are hands on with data – you use SQL and/or Python regularly and write code to pull data from a GCP, AWS, Azure or equivalent

experience with Power BI, Tableau, SQL, or comparable analytics platforms Strong knowledge of pricing strategies, gainshare

# or another object-oriented language Designing reliable batch processing and data-processing solutions SQL and/or NoSQL databases AWS

. Experience of using ETL tools such as Adverity, Alteryx, Tableau Prep, Azure or similar. Intermediate level SQL skills

digital products. Strong command of SQL, Python, and data visualization tools (e.g., Tableau, Looker, Matplotlib). Proven... projects. A deep interest in social, communication, or engagement-driven apps. Skills: Python SQL A/B testing

for purpose, consistent and accurate. We don’t believe any one tool fits all but look for excellent use of a mix of R, SQL

, Artificial Intelligence or equivalent Skills required for the role: SQL Python Data Modelling (RDBMS, Star Schema, Knowledge

environments (e.g. sprint planning, stand-ups, retrospectives). - Proficiency with data and reporting tools (e.g. SQL, Python

they should track and try to move ABOUT YOU You have a working knowledge of SqL and/or Python, and can independently write code

environments (e.g. sprint planning, stand-ups, retrospectives). - Proficiency with data and reporting tools (e.g. SQL, Python

at senior level. Strong technical understanding of SQL, cloud data warehousing and modern data tooling. Experience with tools

. Required Skills: Proficient use of R, Python and SQL Experience in building and delivering MMM Models Comfortable leading client

to programming, data analysis or visualization tools, such as PowerBI, Tableau, KNIME, Alteryx, Python, SQL or similar platforms

or similar data application. Experience with Siebel would be beneficial, but full training will be provided. SQL experience

production-grade cloud data platforms, with evidence of measurable delivery impact. · Expert-level proficiency in SQL, data