What are the responsibilities and job description for the Senior Data Analytics Engineer position at Hudson IT?
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
Required Qualifications
Preferred Qualifications
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.
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 management skills.
Preferred Qualifications
- Experience in Financial Services, Trading, Clearing, Risk Management, or Capital Markets.
- Experience supporting enterprise-scale analytics environments.
Salary : $40 - $50