Technical Data Analyst in Farnborough, Hampshire

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 & 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.

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

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.