Technical Data Analyst
Bluetown Farnborough Permanent
Job Title: Technical Data Analyst
Location:Hybrid (2-3 days per week in office - Farnborough)
Salary: CompetitiveWorking Hours: Full Time
Key Responsibilities:
- Assessment of data workflows & interfaces status quo, comparing them vs industry best practices & automating ETL processes where feasible. Core development skillsets are required, with particular focus on SQL, Microsoft SQL, Integration Services & Python.
- Development & reporting services for business-critical daily, weekly & monthly performance management figures. Completeness & 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 & transparency. Establishment of regular alignment meetings.
- Proposal of improvements for interface ecosystem standardization & database processes optimisation. Document all business requirements for a successful interface ecosystem maintenance & improvement.
- Previous experience of cloud data migration or Kafka event store/ streaming technology would be a nice to have for future implementations.
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About you:
Professional experience:
Ideal candidate would have experience in:
- Data & complex process analysis using SQL
- Python programming for automation
- Business intelligence implementation i.e. PowerBI & Amazon QuickSight
- Process automation i.e. Python
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Education:
- Bachelor degree in STEM or related preferred
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Language skills:
- English (native level C2)
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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
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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.
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