Requirements

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 SQLSAS, 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.