BID Operations

Data Analyst

Data AnalysisConfirmed live in the last 24 hours

Full-timeShenzhen, Guangdong Province, ChinaNo salary listedIn-person

About the Job

Requirements

A university degree in Finance, Economics, Computer Science, or a related quantitative field.
Prior experience working within the finance or fintech industry, with an understanding of financial instruments or trading data.
Advanced SQL knowledge and experience with OLAP databases such as ClickHouse.
Strong programming skills in Python for data manipulation and automation tasks.
Experience with data visualisation tools to represent real-time data effectively.
Ability to convey technical findings clearly to technical and non-technical stakeholders.
A detail-oriented approach focused on data accuracy and compliance with governance policies.

Responsibilities

Develop and maintain automated profit and loss reporting frameworks that pull from real-time data streams.
Conduct trading analytics to identify execution patterns, slippage, and market impact.
Write and optimise complex SQL queries in ClickHouse to handle large-scale financial datasets efficiently.
Collaborate with stakeholders to define and implement key performance indicators for various trading desks.
Monitor data quality and integrity across the pipeline to ensure financial reporting remains compliant and accurate.
Use Python to build robust data processing scripts that automate repetitive analytical tasks.
Design data models and schemas that support high-frequency reporting and business objectives.

Desired Qualifications

Exposure to ClickHouse or another columnar/OLAP store such as Druid, BigQuery, or Snowflake.
Experience with Airflow or similar orchestration tools, dbt, and Git-based workflows.
Experience with business intelligence tools such as Superset, Metabase, Power BI, or Grafana.

Data Analyst

BID Operations · Shenzhen, China · Full-time · Posted 2026-09-02

Workplace: on_site

Department: Risk

Description

Company Introduction

At BID Operations, we are passionate about supporting our clients in their journey towards success. Our mission is to empower you to thrive by handling the essential yet time-consuming aspects of your business operations, allowing you to concentrate on strategic growth and innovation.

About the role

The Data Analyst will be responsible for transforming high-velocity data into the financial narratives that drive our trading strategies. By navigating our real-time pipelines—built on Kafka, RabbitMQ, and ClickHouse—you will ensure that PnL reports and trading analytics are accurate, timely, and insightful. This role sits at the intersection of engineering and finance, requiring a blend of technical analysis and market understanding.

Job Responsibilities

Develop and maintain automated PnL reporting frameworks that pull from real-time data streams.
Conduct deep-dive trading analytics to identify execution patterns, slippage, and market impact.
Write and optimise complex SQL queries in ClickHouse to handle large-scale financial datasets efficiently.
Collaborate with stakeholders to define and implement key performance indicators (KPIs) for various trading desks.
Monitor data quality and integrity across the pipeline to ensure financial reporting remains compliant and accurate.
Use Python to build robust data processing scripts that automate repetitive analytical tasks.
Design data models and schemas that specifically support high-frequency reporting and business objectives.

Requirements

University degree in Finance, Economics, Computer Science, or a related quantitative field.
Prior experience working within the finance or fintech industry, with an understanding of financial instruments or trading data.
Advanced SQL knowledge and experience with OLAP databases like ClickHouse.
Strong programming skills in Python for data manipulation and automation tasks.
Experience with data visualisation tools to represent real-time data effectively.
Ability to convey technical findings clearly to both technical and non-technical stakeholders.
Detail-oriented mindset with a focus on data accuracy and compliance with governance policies.

Nice to have:

Exposure to ClickHouse (or another columnar/OLAP store — Druid, BigQuery, Snowflake)
Airflow or similar orchestration; dbt; Git-based workflows
BI tooling (Superset, Metabase, Power BI, Grafana)

Benefits

Competitive salary commensurate with experience.
Opportunities for professional development and career advancement.
Collaborative and supportive work environment.
Flexibility in smart casual dress code.

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About the Company

BID Operations

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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