Platform Engineering- Controls & Enablement- Data Analytics & Reporting Analyst

At LPL’s Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad.

Join us as we create something extraordinary together.

Job Overview:

Step into a key role where you’ll illuminate cloud spending, control, and performance. You’ll shape data into cost saving insights, empowering teams with show-back clarity and greater understanding of their technical debt. Join us to drive smarter budgets and make real impact!

Responsibilities:

Analyze cloud cost and usage data to identify trends, anomalies, and optimization opportunities.

Build and maintain dashboards and reports for engineering, finance, and leadership.

Support show-back/chargeback models by mapping costs to applications, teams, and business units.

Use observability tools to understand business value of optimized infrastructure.

Perform budget vs actual variance analysis and explain cost drivers.

Develop and track FinOps, Controls, and Performance KCI/ KPIs (utilization, cost per unit, waste, efficiency).

Partner with engineering to highlight:

Overprovisioned resources.

Idle / unused infrastructure.

Optimization opportunities.

Assist in forecasting cloud spend and improving forecast accuracy.

Automate reporting and data extraction processes where possible.

Ability to track cost avoidance and realized saves.

Utilize and develop monitoring frameworks: data models, data quality checks, and documentation so metrics are trusted, repeatable, and utilized.

What are we looking for?

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

8+ years in data analytics, business intelligence, or FinOps-related roles

Experience working with large datasets (billing, usage, financial data)

Experience supporting financial analysis (budgeting, forecasting, variance)

Exposure to cloud cost management or technology environments

Experience collaborating with engineering and finance teams

AWS Practitioner Certified, FinOps Practitioner Certifed, Azure Fundamentals

Strong proficiency in SQL and Data manipulation

Experience with data visualization tools (ie: Power BI, Tableau, etc.)

Advanced Excel Skills (Pivot tables, modeling and data validation)

Working knowledge of Cloud Platforms (AWS, Azure, OnPrem and Infrastructure)

Understanding of cost drivers across compute, storage and network

Familiarization with FinOps Principles and Concepts showback, chargeback, budgeting, forecasting and unit economics

Experience with cloud tools Cloud ability, cloudhealth and native cloud billing tools)

Ability to build and maintain dashboards scorecards and executive reports

Strong attention to detail in data accuracy, reconciliation and validation

Ability to translate data into clear actionable insights; strong story telling skills.

Ability to communicate insights to both technical and non-technical stakeholders

Experience working with Finance, SRE/Engineering and product teams.

Preferences:

FinOps Certified, Azure Fundamentals certified AWS Solutions Architect certified.

CRISC Certification/ Understanding of Risk and Controls frameworks (NIST, CIS, CSA).

Core Competencies:

Clear, accurate visibility into cloud spend and cost drivers.

High-quality dashboards that drive decision-making and action

Early identification of cost anomalies and inefficiencies

Improved forecast accuracy and reduced budget variance

Strong partnership with engineering and finance teams

Insights that consistently lead to measurable cost savings

Ensure that stakeholders understand data and action

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