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Data Analytics Engineer - Techno functional

• Posted 1 day ago • Updated 42 minutes ago

Full Time

Part Time

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Job Details

Skills

Data Engineering

Summary

Key Responsibilities

Collaborate with business stakeholders to define key metrics, KPIs, and data requirements.
Design, build, and maintain efficient data pipelines and ETL processes to support analytics and reporting.
Translate complex datasets into clear, business-oriented insights and recommendations.
Develop and maintain dashboards, reports, and visualizations.
Ensure data accuracy, consistency, and governance across platforms.
Conduct deep-dive analyses to uncover trends, risks, and opportunities.
Partner with data scientists, product managers, and business teams to support strategic initiatives.

Required Qualifications

Bachelor s degree in Computer Science, Data Engineering, Statistics, or a related field.
8+ years of experience in data engineering and analytics roles.
Strong proficiency in SQL & Analytics tools.
Proven experience in financial services and wealth management domains, with expertise in stock plans, financial data, Crypto and related business processes.
Hands-on experience with data warehousing solutions such as Snowflake.
Solid understanding of data modeling, architecture, and governance principles.
Excellent communication and collaboration skills.

Preferred Skills

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
Familiarity with Analytics tools such as Dataiku etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10485596
Position Id: TYN - 13266-13270-1780343489
Posted 1 day ago

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