Operations Data Analyst – SQL & Automation

Chip UK

Greater London

Hybrid

GBP 34,000 - 45,000

Full time

8 days ago

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Benefits offered by this job

Salary £34k-£45k per annum
Discretionary annual bonus
Workplace pension scheme
Private medical insurance
Employee Assistance Programme
Cycle to work scheme
Season ticket loan
ChipX subscription (UK)
Flexible working
28 days holiday + bank holidays
Annual training budget
Chip Fitness Benefit
Company laptop
Impact on product in fintech startup

Job summary

Chip is seeking a data analyst to monitor product functionality and work cross-functionally, providing data analysis, MI, and operational controls to aid product development. This role will work closely with our Operations and Compliance teams, including working with Financial Crime data.

You will analyse data using SQL, provide data extracts and dashboard reporting, and support the wider business to deliver excellent customer service.

Qualifications

  • Proficiency in SQL.
  • Proficient use of Excel/Google Sheets.
  • Analytical thinking with strong problem-solving skills.
  • Meticulous attention to detail.

Responsibilities

  • Analyse data using SQL.
  • Provide data extracts, analysis and dashboard reporting to all areas of the business.
  • Assist the wider business in providing the best customer support.
  • Develop, optimise and action daily operational process controls.
  • Monitor internal and third-party functionality.
  • Timely and accurately deliver regular operational tasks and processes.
  • Investigate, diagnose and resolve issues.
  • Automate recurring MI and optimise processes using SQL and Python.

Skills

SQL
Excel/Sheets
Analytical
Detail-oriented
Proactive
Learning mindset
Multi-tasking
Independent

Tools

Python

Job description

Chip is seeking a data analyst to monitor product functionality and work cross-functionally, providing data analysis, MI, and operational controls to aid product development. This role will work closely with our Operations and Compliance teams, including working with Financial Crime data.

You will analyse data using SQL, provide data extracts and dashboard reporting, and support the wider business to deliver excellent customer service.

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