At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
This is a global Sales Operations Analyst role supporting stakeholders across APAC, EMEA, and the Americas. The role focuses on advanced analytics, data engineering fundamentals, automation, and AI-driven sales operations excellence.
Responsibilities:
Design, create, and manage SQL tables, schemas, and structured datasets to support scalable analytics.
Write advanced SQL queries (joins, aggregations, window functions) and optimise performance for large datasets.
Develop dashboards and reporting solutions using Power BI and Excel for global sales insights.
Build and automate workflows using Power Apps and Power Platform.
Partner with global stakeholders to standardise reporting, planning, and sales operations processes.
Drive data integrity and governance across CRM systems (Salesforce/Dynamics).
Support global forecasting, territory planning, and quota analysis.
Identify opportunities to automate BAU tasks using AI and low-code solutions.
AI & Advanced Analytics
Leverage AI tools (Copilot, LLMs) to automate reporting, data analysis, and documentation.
Use AI to generate insights, identify patterns, and recommend business actions.
Build AI-assisted workflows for sales operations and reporting automation.
Continuously evaluate new AI tools to improve scalability and efficiency of operations.
Basic Qualifications
4+ years experience in Sales Ops / Analytics / Business Ops.
Experience with SQL including table creation and query optimisation.
Experience with Power BI and dashboard development.
Experience with CRM systems (Salesforce/Dynamics).
Experience working with global or distributed teams.
Preferred Qualifications
Experience with Power Apps / Power Platform automation.
Knowledge of Python or scripting.
Experience with AI tools and automation frameworks.
Experience in SaaS or tech companies.
Strong stakeholder communication and project management skills.
Strong analytical and problem-solving skills.
Suggested Skills
Analytical Skills
Prioritisation and Time Management
Communication
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