Jr. Graph Data Analyst – Corporate – CRM & Analytics

About Jefferies

Jefferies, the global investment banking firm focused on serving clients for over 50 years, is a leader in providing insight, expertise and execution to investors, companies and governments. The firm provides a full range of investment banking, sales, trading, research and strategy across the spectrum of equities, fixed income, foreign exchange, futures and commodities, and also select asset and wealth management strategies, in the Americas, Europe and Asia. Jefferies Group LLC is a wholly-owned subsidiary of Leucadia National Corporation (NYSE: LUK), a diversified holding company.

CRM & Analytics Team Overview:
The CRM & Analytics team is a highly strategic and cross-functional team responsible for leading the firm’s global digitalization effort. This initiative, spanning all client-facing business units and corporate functions, will drive innovation and strategic change through technology, data science, and deep analytics. The team partners with key business leaders and industry experts to build transformational technology to drive revenue, maximize efficiency, and optimize the allocation of resources. The CRM & Analytics team is at the forefront of Jefferies’ cloud initiative, leveraging best-in-class cloud-based technologies to replace legacy on-premises solutions to provide intelligent trend insights, actionable opportunities, decision support, and transparency into all client and business-related activities.

Position:
The candidate will work closely with various team members comprised of Big Data Engineers, Data Scientists, Data Architects, Developers, and Managers to identify, and create data needed to support the graph and sematic data lake development. In this role, you will be responsible for cleansing, analyzing and ingesting data in the graph database, creating SPARQL queries and ontologies.

Primary Responsibilities

Partner with project teams, data architects, data scientist and big data developers to support data initiatives

Accountable for driving all requirement elicitation and documentation activities

Profile source data and determine source and metadata characteristics

analyze external data

Create and load RDF triples in the graph database

Implement big data analytical process including data profiling, cleansing, parsing, standardization, verification, matching and data quality, handling data cleansing, big data analysis, enrichment, filtering, and data dictionary creation

Experience identifying and documenting business objectives, business rules, functional, and technical requirements, and process flows.

Excellent verbal and written communication skills.

Required Background:
Bachelor’s degree in a quantitative field such as Computer Science, Statistics or Mathematics

Excellent SPARQL, RDF, OWL, SQL and DB skills (RDBMS, Graph DB, NoSQL DB)

1+ years of hands-on experience with big data tools and technologies

Self-driven passion for finding and solving problems

Desired Experience/ Skills:
Financial Services industry experience

Basic knowledge of Statistics

Some Experience with R or Python

Some experience with ontologies

Some experience with cloud (AWS, Azure)

Some experience with Anzo, Allegro or any other RDF graph database