Are you an expert in Data Analytics, Machine Learning or equivalent degree holder?
Are you a self-motivated self-starter searching for commercial Data Science experience?
If that's the case, keep reading.
This is a great opportunity to start your career with a leading Data Analytics technology company.
You'll help provide an overview of data analytics pipelines and backlogs, identifying active,
in-development, and backlog projects. You'll collaborate with the lead to determine development priorities and create
automated workflows to ensure that data for our clients' products and services is updated on a regular basis.
In addition, the work entails managing the BI backlog, as well as creating and centralising a
reporting repository in Tableau\PowerBI. Working with key business stakeholders to identify
additional reports and add them to the backlog is also an option.
Permanent position: Yes
Location: Remote (UK, India)
Salary: Competitive
Schedule: Mondays through Sundays
Working from home: Yes
Main Responsibilities
T-SQL, ANSI-SQL, and Python are used to create and maintain data pipelines.
Building and monitoring data management reports to verify that all data pipelines are operating as planned and that errors, faults, and opportunities are easily identified.
Responsible for ensuring that team members have access to the database systems and tweaking performance as needed.
Responsible for developing and authoring SQL reports that will be used in our enterprise business intelligence strategy.
For the Data Analytics team, the possibility to take the lead on database projects.
Important Requirements
The following core qualities are required for success in this role:
A relevant degree, such as Data Science, Data Analytics, Artificial Intelligence, or Machine Learning, is required.
Ability to develop in SQL-like languages
T-SQL or ANSI-SQL experience is required.
OOP and other programming structures are well-understood.
Working knowledge of technologies like PowerBI and Tableau.
Some familiarity with cloud computing platforms such as Google, AWS, and Azure.
Snowflake, SQL Server, and other cloud-based database solutions are all things to be aware of.
Keywords
Data Analytics, Data Engineering, Machine Learning, Artificial Intelligence, Data Science, SQL, Virtualisation, Visualisation, Reporting, Power BI, BI, Tableau, T-SQL, ANSI-SQL, OOP, Object Orientated Programming, Python, DataOps, DevOps, Data Pipelines, Data Science, SQL, Virtualisation, Visualisation, Reporting, Power BI, BI, Tableau, T-SQL
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