Data Analyst

Visron Technical; United States; Remote; USD 60,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst to join their dynamic Foundational Analytics and Wealth Delivery squad. In this pivotal role, you will be responsible for building robust enterprise data pipelines and delivering critical insights that drive business decisions. You'll work closely with data mapping and modeling, utilizing your expertise in SQL, SAS, and Python to translate complex business requirements into actionable data solutions. This is a fantastic opportunity to contribute to innovative projects while mentoring less experienced analysts in a collaborative environment. If you're passionate about data and eager to make a significant impact, this role is perfect for you.

Qualifications

• 4+ years data analytics experience or equivalent military/work experience.
• Strong written and verbal communication skills required.
• Experience in data mapping and modeling.

Responsibilities

• Owns attribution mapping details for data elements from source to target.
• Independently translates business requirements to detailed mapping documents.
• Provides continuous improvement ideas to enhance efficiency.

Skills

Data Analytics

SQL

SAS

Python

Data Mapping

Communication Skills

Risk Management

Education

Master's Degree in a relevant field

Bachelor's Degree in a relevant field

Tools

Google Cloud Platform

Big Query

Jira

Confluence

Miro

Asana

AbInitio

Job description

Job Brief:

Join the Foundational Analytics and Wealth Delivery squad as Data Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The Data Analyst will be responsible for data mapping, required to deliver vital information to the consumer population for multiple data assets.

Essential Job Functions:

• Owns the attribution mapping details for data elements from the source systems to the target analytics data assets and Wealth-specific data solutions including, but not limited to star marts, extracts, hierarchies, and point-to-point solutions to support Wealth domain assets.
• Independently translates business requirements to detailed mapping documents, develops and unit tests datasets building maintainable code to accelerate delivery through reusability, and performs peer code reviews.
• Embraces mentorship and provides training for less experienced business and data analysts.
• Provides continuous improvement ideas to reduce expenses, improve efficiency, and elevate quality.
• Assesses the technical viability of new and emerging data solutions providing design guidance, technical recommendations, performance optimization, and development insights.
• Contributes to technical documentation, specifications, and project artifacts for developing data solutions.
• Adheres to and identifies standards and best practices to be extended beyond the Foundational Analytics and Wealth Squad.
• Give input into Data Models and Entity Relationship Diagrams and use those documents to build efficient SQL.
• Create and enhance context diagrams for data solutions to maintain auditability.
• Provide all the business rules, transformation logic, derived column expressions, SQL, etc. to build mapping documents.
• Participate and give feedback in Mapping Review Sessions and Data Architecture Review Sessions.
• Knowledge of portfolio planning, project prioritization, and remediation planning activities.
• Strong knowledge of Risk Management practices associated with Financial Institution or financial data.

REQUIRED QUALIFICATIONS

• Education: Master's Degree and 4+ years data analytics experience, Bachelor's Degree and 7+ years data analytics experience, or equivalent military/work experience.
• Possess strong written and verbal communication skills.
• Experience in Google Cloud Platform, notable Big Query.
• Experience programming in SQL, SAS and Python.
• Experience in data mapping and modeling.

PREFERRED SKILLS / QUALIFICATIONS

• Experience with Agile Methodologies, Jira, Confluence, Miro, and Asana.
• Experience working with Wealth Systems including Envestnet, Pershing, GlobalPlus, and Omnipay Nextgen or similar products is highly preferred.
• Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations.
• Experience in AbInitio or AbInitio Spectograph.
• Experience working with APIs and a solution orchestration layer is a plus.