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The Options Clearing Corporation (OCC) · 8 hours ago

Senior Associate, Data Analytics Engineering

Chicago, IL

Full-time

Hybrid

Mid, Senior Level

$78K/yr - $135K/yr

3+ years exp

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. This position will join OCC's centralized data analytics team to enhance organizational data analytics capabilities through close business partnership, requirements gathering, and solution delivery.

FinanceFinancial ServicesProperty Management

No H1B

Responsibilities

Design and maintain OCC analytics solutions drawing from both raw and semantic data layers

Partner with business units to gather requirements and develop targeted analytics solutions

Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development

Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence

Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility

Identify and distribute data and analytics best practices across the team

Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability

Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools

Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure

Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs

Qualification

SQLPythonTableauData modelingCloud computingData analyticsCollaborationCommunicationAttention to detailProblem-solving

Required

Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems & Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind

Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output

Comfortable supporting business analysts on high-priority projects

High attention to detail, tradeoffs, and an ability to think structurally about a solution

Ability to write and optimize complex analytical (SELECT) SQL queries

Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)

Strong Experience with data viz/prep tools (preferably Tableau and Alteryx)

Experience with a source code version control repository system, branch management, pull requests (preferably Git)

Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience

3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst