Data Analyst (SQL, SAS and Python) - Banking- Wealth Management Analytics - Remote
Carnegie,Pennsylvania,USA Posted: Wed, Dec 11 2024
Skills
Data Mapping and Modeling,Python,Wealth Systems,Banking,SQL,SAS
Type
CON_W2
Experience
7+ Years
Job Description
Job Brief:
We are seeking a Data Analyst to join the Foundational Analytics and Wealth Delivery squad within Enterprise Data and Information Services (EDIS). As a key team member, you will be focused on building and maintaining enterprise data pipelines to support reporting, analytics, and business insights. You will play a vital role in ensuring accurate data mapping and model development, driving critical business decisions. This role requires a balance of technical expertise and leadership capabilities to contribute to both Data Analyst and Business Analyst functions as needed.
Key Responsibilities:
Data Mapping & Attribution: Own and manage attribution mapping from source systems to target analytics data assets, including star marts, extracts, and point-to-point solutions.
Translation & Development: Translate business requirements into detailed mapping documents, develop and test datasets, and create maintainable code to promote delivery efficiency.
Collaboration & Mentorship: Provide mentorship to junior analysts and collaborate with teams to improve data solutions through technical insights, peer code reviews, and continuous improvement initiatives.
Technical Assessment: Evaluate new data solutions for technical viability, and provide recommendations on design, performance optimization, and solution development.
Documentation & Compliance: Contribute to technical documentation, create context diagrams for auditability, and ensure compliance with risk management practices.
Business Rules & Transformation: Build and enhance data mapping documents with business rules, transformation logic, and SQL to support Wealth domain data solutions.
Leadership in Data Sessions: Participate in Mapping Review and Data Architecture Review sessions, providing feedback and contributing to ongoing data model development.
Required Qualifications:
Education: Master’s Degree with 4+ years of data analytics experience or Bachelor’s Degree with 7+ years of experience (or equivalent military/work experience).
Technical Skills:
Strong experience in SQL, SAS, and Python.
Expertise in data mapping and data modeling.
Proficient with Google Cloud Platform (notably BigQuery).
Soft Skills:
Excellent written and verbal communication.
Ability to lead mapping review meetings and step into a Business Analyst role when needed to ensure project continuity.
Preferred Qualifications:
Experience with Agile Methodologies (e.g., Jira, Confluence, Miro, Asana).
Familiarity with Wealth Systems (e.g., Envestnet, Pershing, GlobalPlus, Omnipay Nextgen).
Experience with AbInitio or AbInitio Spectrograph.
Experience working with APIs and solution orchestration layers.
Expertise in portfolio planning, project prioritization, and risk management.
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