Technical Data Analyst

Shaw Daniels Solutions; Farnborough; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading company in consumer services is seeking a Data Analyst to evaluate data workflows, implement ETL automation, and deliver performance reporting services. The ideal candidate will have strong SQL and Python skills, and a Bachelor's degree in a STEM field is preferred. This role offers the opportunity to operate independently and coordinate projects across functions.

Qualifications

• Experience with cloud data migration and Kafka event stream/store technologies is advantageous.
• Strong development expertise is essential, particularly in SQL and Python.

Responsibilities

• Evaluate current data workflows and implement ETL automation.
• Deliver and maintain critical performance reporting services.
• Coordinate cross-functional projects with key stakeholders.

Skills

SQL

Python

Data Analysis

Education

Bachelor's degree in a STEM field

Tools

Power BI

Amazon Quick Sight

Job description

Direct message the job poster from Shaw Daniels Solutions

• Evaluate current data workflows and interfaces, benchmark against industry standards, and implement ETL automation where applicable. Strong development expertise is essential, particularly in SQL, Microsoft SQL Server, Integration Services, and Python.
• Deliver and maintain critical performance reporting services (daily, weekly, and monthly), ensuring high standards of accuracy and completeness.
• Operate independently with strong initiative and a commitment to timely, high-quality outcomes.
• Coordinate cross-functional projects by engaging key stakeholders and facilitating regular alignment and communication meetings.
• Identify and propose enhancements for interface standardisation and database process optimisation. Thoroughly document business requirements to support ongoing improvements of the interface ecosystem.
• Experience with cloud data migration and Kafka event stream/store technologies is advantageous for upcoming initiatives.

Professional Experience

• Data analysis and complex process evaluation using SQL
• Business Intelligence tools (e.g., Power BI, Amazon Quick Sight)
• End-to-end process automation solutions

Education

• Bachelor's degree in a STEM field or a closely related discipline preferred

Language Skills

• English proficiency at a native or C2 level

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Information Technology

• Industries

  Consumer Services

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