Proficiency in Python and SQL for data processing, transformation, and analysis. Deep knowledge of data modeling and warehousing concepts. Experience with BI tools, preferably ThoughtSpot (or Power BI, Tableau, Looker). Solid version control and collaboration practices (e.g., Git). Ability to collaborate closely with both technical and non-technical team members. Effective communication and problem-solving skills. Desirable Exposure More ❯
foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external data-facing products Knowledge of modern software development practices (Agile, Scrum, Kanban More ❯
their own employees,other consultants/contractors. Your exact role would depend on their needs and your technical skills and experience. You might: Build dashboards in a tool like Looker Studio, Power BI or Amazon QuickSight Write SQL queries to transform data into a form useful for further analysis or visualisation Use SQL (or optionally Python) to analyse data Work … CTEs, analytic functions, regular expressions, scripting and/or arrays/nested data) for data analysis. Data visualisation. You are an experienced user of a data visualisation tool (e.g. Looker Studio, Looker, Power BI, Tableau, Amazon QuickSight) to visualise data and can describe the data stories this has enabled you to tell. Enabling data driven decision-making. You have a More ❯
