Data Analyst: Enterprise Data Mastery & Financial Insights

L&G – Asset Management, America

Chicago (IL)

On-site

USD 95,000 - 125,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

HSA

Disability insurance

Dental insurance

Vision care

Life insurance

401K

Commuter benefits

Job summary

L&G Asset Management, America is seeking a Data Analyst to advance centralized data platforms and enable scalable data solutions across Investment Operations, Front Office, Onboarding, and Compliance. You will translate business needs into practical data-driven outcomes and lead initiatives to reduce manual processes, while delivering hands-on BAU support.

The role requires collaboration across Data, Technology, and business teams, with a focus on data quality, governance, and operational

Qualifications

Bachelor's degree in Finance, Economics, CS, IS, Data Analytics, or related field.
3+ years in business analyst, data analyst, or data operations role within financial services or asset management.
Strong understanding of financial data concepts, including securities, portfolios/accounts, benchmarks, and market data.
Familiarity with CR IMS a plus
Experience with SQL and cloud data platforms (e.g., Snowflake) to query and analyze enterprise data.
Proven experience gathering and documenting business requirements and translating them into functional solutions using tools such as ARIS.
Hands-on experience with JIRA for requirements tracking and project delivery.
Demonstrated ability to manage stakeholders and drive outcomes across multiple teams in complex environments.
Strong analytical and problem-solving skills; ability to investigate data issues and identify root causes.
Excellent communication skills; able to explain technical concepts to non-technical stakeholders and present to senior management.
Ability to manage multiple priorities; proactive self-starter with ownership and accountability.
Familiarity with Bloomberg data and tools (pricing, reference data, analytics, PORT).
Exposure to AI-enabled tooling, including Copilot, AI agent development, or similar.

Responsibilities

Drive adoption of Enterprise Data Masters by identifying gaps in usage, integration, and business requirements.
Map current processes, upstream data sources, and downstream consumers to define transition pathways to target-state architecture.
Lead initiatives to reduce reliance on fragmented and manual processes.
Define and document target-state processes leveraging centralized data platforms to improve scalability and control.
Support UAT, validation, and integration of new capabilities into BAU operations.
Act as the key interface between Data, Technology, and business teams to ensure solutions meet operational needs.
Facilitate stakeholder engagement through workshops, feedback sessions, and adoption tracking.
Provide hands-on BAU Data Operations support, including issue triage, stakeholder queries, benchmark onboarding, and vendor coordination.
Participate in incident reviews, root cause analysis, and implementation of preventative controls.
Maintain adoption tracking artifacts (heatmaps, KPIs) and provide regular leadership updates on progress, risks, and dependencies.
Collaborate with internal and external support teams to ensure timely resolution of user issues.
Support development of dashboards and reporting to track data quality and performance.