Offer summary

Qualifications:

Master’s Degree with 4+ years or Bachelor’s Degree with 7+ years in data analytics or equivalent experience., Strong knowledge of Risk Management practices in financial institutions., Proficiency in SQL, SAS, Python, and experience with Google Cloud Platform, especially Big Query., Familiarity with Agile methodologies and tools like Jira, Confluence, and Asana..

Key responsibilities:

Owns attribution mapping for data elements from source systems to analytics data assets.

Translates business requirements into detailed mapping documents and performs peer code reviews.

Provides mentorship and training for junior analysts while suggesting continuous improvement ideas.

Contributes to technical documentation and participates in Mapping and Data Architecture Review Sessions.

Job description

Our Client, a Banking company, is looking for a Data Analyst for their Remote location.

Responsibilities:

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 data 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.

Requirements:

Knowledge of portfolio planning, project prioritization, and remediation planning activities.
Strong knowledge of Risk Management practices associated with Financial Institution or financial data.
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.
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.

Why Should You Apply?

Health Benefits
Referral Program
Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

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