Senior Data Analytics Engineer

We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate will have strong expertise in SQL, Python, data modeling, BI tools, and modern analytics engineering practices.

• →

  Design and maintain analytics solutions across raw and semantic data layers.

• →

  Partner with business stakeholders to translate business requirements into data models, dashboards, and actionable insights.

• →

  Build and optimize SQL and Python-based data pipelines for analytics platforms.

• →

  Establish and promote analytics standards, governance, and best practices.

• →

  Enable self-service analytics using BI and data preparation tools.

• →

  Document, test, validate, and monitor data quality to ensure trust in reporting.

• →

  Collaborate with analysts and support ad-hoc analytical initiatives.

• →

  Contribute to cloud-based analytics and data engineering solutions.

• →

  Support analytics related to financial risk, trading, and operational reporting where applicable.

• Bachelor's or Master's degree in a quantitative field or equivalent experience.

• 3+ years of experience in Data Analytics, Analytics Engineering, BI, Data Engineering, Risk Analytics, or Software Development.

• Strong SQL skills with experience writing complex analytical queries.

• Proficiency in Python for data processing and pipeline development.

• Experience with Tableau and Alteryx or comparable BI/Data Preparation tools.

• Experience with Git, code versioning, pull requests, and modern development workflows.

• Exposure to dbt and workflow orchestration tools such as Airflow, Dagster, or Prefect.

• Experience with cloud platforms such as AWS, Azure, Databricks, or Snowflake.

• Strong understanding of data modeling concepts including 3NF and Star Schema.

• Knowledge of statistics and analytical methodologies.

• Strong communication and stakeholder management skills.

• Experience in Financial Services, Trading, Clearing, Risk Management, or Capital Markets.

• Experience supporting enterprise-scale analytics environments.