Data Analyst

TalentBurst; Brooklyn (OH); Remote; USD 60,000 - 95,000; Full time

Job summary

An innovative firm is seeking a Data Analyst to join their Foundational Analytics and Wealth Delivery squad. This role focuses on building robust enterprise data pipelines that support critical business insights and analytics. The ideal candidate will possess strong data mapping and modeling skills, with proficiency in SQL, SAS, and Python. You will be responsible for translating business requirements into actionable data solutions and mentoring junior analysts. If you're passionate about data and eager to contribute to impactful projects, this opportunity is perfect for you.

Qualifications

• Master's or Bachelor's degree with extensive data analytics experience required.
• Strong communication skills and experience with data mapping and modeling.

Responsibilities

• Owns attribution mapping details for data elements from source to analytics assets.
• Translates business requirements into detailed mapping documents and develops datasets.

Skills

Data mapping and modeling

SQL

SAS

Python

Communication skills

Agile Methodologies

Risk Management

Education

Master's Degree in Data Analytics

Bachelor's Degree in Data Analytics

Tools

Google Cloud Platform

Big Query

Jira

Confluence

Miro

Asana

AbInitio

Job description

Job Title: Data Analyst
Location: 100% Remote
Duration: 6+ Months (Possibility of extension)
Job Description:
Top 3 Things looking for when reviewing resumes
1. Data mapping and modeling experience
2. SQL, SAS and Python
3. Flexibility to be a DA (complex dataset creation), lead mapping review meetings as needed, but also to fill a BA role to ensure continuity of delivery with business


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.

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