Alteryx Data Engineer with Python

Job Requirements

• ETL, analyzing Alteryx data
• Hands on Python
• Fixed Income Bonds
• SQL
• BI tools

Position Details

• Position: Python Alteryx Data Engineer
• Location: Newark, NJ – Hybrid 3 days/wk
• Duration: 12 Months
• Interview: *2 rounds of interview – 2nd round MUST be in person

Job Summary

Global Financial firm with offices in Newark, NJ is looking for a Python/Data/BI Developer resource to drive insights, inform decision-making, and contribute to the development of data-driven strategies in Fixed Income. Our technology group is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. Our ideal candidate needs to have strong analytical background, proficiency in programming and statistical analysis, and the ability to communicate complex findings effectively.

Job Description

• Analyze large and complex datasets to extract meaningful patterns, trends, and insights.
• Collaborate with cross-functional teams to develop, implement, and maintain scalable and efficient solutions to solve business challenges.
• Conduct exploratory data analysis and statistical tests to uncover hidden patterns and correlations.
• Create compelling and dynamic BI visualizations that are intuitive and responsive for end-users.
• Transform complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria, aggregations etc. Breakdown complex requirements into user stories, and drive delivery with the product team.
• Recommend best practices from both a technical and process perspective as related to Tableau/PowerBI/BI tool development.
• Troubleshoot issues as they occur, identify criticality and impact, and provide appropriate workarounds.
• Demonstrate strong backend platform expertise and front-end consultancy capability.
• Stay updated on industry trends and best practices in Python development relevant technologies.

Requirements

• 5+ years of experience with predictive analytics using large data sets.
• Strong programming skills in Python are essential, as BI Python Developers use Python for data analysis, scripting and building data pipelines.
• Ability to analyze and interpret complex data sets, turning raw data into meaningful insights. Familiarity with data manipulation libraries like Pandas is often necessary.
• Proficiency in SQL, data querying, and performance optimization techniques
• Proficiency in procedural languages such as MSSQL TSQL, Postgres PL/SQL
• Experience with BI tools like Tableau, Power BI. Understanding how to visualize data and create dashboards for business users is crucial.
• Solid exposure to ETL toolsets used to extract data into queryable format ready to analyze such as Alteryx.
• Expertise with multiple database platforms including relational databases (i.e. SQL Server and Oracle)
• Understanding and usage of version control systems like Git for collaborative development.
• Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems.
• Python API Development/Snowflake Snowpark coding experience
• Given the dynamic nature of technology, a willingness to stay updated on the latest trends and tools in both BI and Python development.
• Bachelor's degree in Computer Science or equivalent, with a strong preference in a Data-centric major.