Job Title: Technical Data Analyst
Location: Farnborough (Hybrid with 1:2 days per week in office)
Salary: Competitive
Job type: Full:time, Permanent
Key Responsibilities:
* Assessment of data workflows and interfaces status quo, comparing them vs industry best practices and automating ETL processes where feasible. Core development skillsets are required, with particular focus on SQL, Microsoft SQL, Integration Services and Python.
* Development and reporting services for business:critical daily, weekly and monthly performance management figures. Completeness and accuracy a must.
* Ability to work on own initiative without direct supervision with a high commitment for delivery and quality.
* Project co:ordination with key stakeholders to ensure communication and transparency. Establishment of regular alignment meetings.
* Proposal of improvements for interface ecosystem standardization and database processes optimisation. Document all business requirements for a successful interface ecosystem maintenance and improvement.
* Previous experience of cloud data migration or Kafka event store/streaming technology would be a nice to have for future implementations.
About you:
Professional experience:
Ideal candidate would have experience in:
* Data and complex process analysis using SQL
* Python programming for automation
* Business intelligence implementation i.e. PowerBI and Amazon QuickSight
* Process automation i.e. Python
Education:
* Bachelor degree in STEM or related preferred
Language skills:
* English (native level C2)
Benefits:
* Competitive Salary
* Bonus incentive
* 25 days annual leave (plus Bank Holidays)
* Pension Plan
* Private Insurance
* Cash back health care scheme
* Potential to progress within the company, with global opportunities updated regularly
Please click on the APPLY button to send your CV and Cover Letter for this role.
Candidates with the experience or relevant job titles of; Data Scientist, Data Solutions analyst, Business Insight Analyst, Data Insight Analyst, Data modelling, Statistician, and Data Modelling will be considered for this role.