Company
Financial Services
SeniorDataAnalyticsEngineer
Neural analysis suggests this role is
optimal for experienced candidates.
“Senior Data Analytics Engineer. Skills: Data modeling, Analytics engineering, BI tools, SQL, Python. Design analytics solutions. Maintain analytics solutions”
What You'll Achieve.
Support decision-making
Industry & Context.
Optimize analytics solutions
What They're Looking For.
Must Have
Bachelor's or Master's degree, 3+ years of experience, SQL skills, Proficiency in Python, Experience with Tableau, Experience with Alteryx, Experience with Git, Experience with dbt, Experience with Airflow, Experience with Databricks, Experience with Snowflake, Data modeling concepts, Knowledge of statistics, Communication skills, Stakeholder management skills
Nice to Have
Experience in Financial Services, Experience in Trading, Experience in Clearing, Experience in Risk Management, Experience in Capital Markets, Experience supporting enterprise-scale analytics
What You'll Do.
Design analytics solutions
Maintain analytics solutions
Translate business requirements
Optimize data pipelines
Establish analytics standards
Promote analytics standards
Enable self-service analytics
Document data quality
Collaborate with analysts
Support analytical initiatives
Contribute to cloud solutions
How You'll Work.
Team & Collaboration
Partner with business stakeholders; Collaborate with analysts
Communication Scope
Stakeholder management
Full Job Description
Job Summary 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. Responsibilities * 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. ## Requirements Required Qualifications * 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 manageme
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