Data Analytics Associate Manager

LinkedIn • New York, NY

1d • $84,000 - $137,000 • Hybrid

About The Position

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. The LinkedIn Monetization Strategy & Operations team is looking for a Monetization Strategy, Operations Excellence (OpEx) Data Analytics Associate Manager to help maintain and optimize the data infrastructure and systems that support our organization’s data-driven decision-making process. You will work closely with cross-functional teams to ensure data accuracy, consistency and improve our reporting capabilities. Additionally, you’ll help drive operational excellence by identifying opportunities for improvements to make us more efficient.

Requirements

• 4+ years of experience in pricing, sales operations, financial planning & analysis or data science.
• 2+ years of experience with SQL
• Microsoft Excel
• BA/BS degree
• Proficiency with Tableau, PowerBI, familiarity with CRM systems (Dynamics, Salesforce.com)

Nice To Haves

• Familiarity with Power Automate or other workflow automation solutions.
• Demonstrated experience with Microsoft Excel performing tasks such as pivot tables, vlookups and/or index match, macros.
• Professional experience in financial modeling, data analysis, and the ability to see beyond the numbers to drive sound decision-making
• Project management
• Demonstrated communication skills, including experience effectively communicating across cross functional teams
• Experience working in high-growth, performance-focused environments
• Self-starter who has experience working in highly cross functional teams

Responsibilities

• Data Integration: collaborate with data engineers to design and implement data pipelines for efficient data extraction, transformation, and loading (ETL). Integrate data from various sources into a central data repository or data warehouse.
• Data Analysis and Reporting: Perform data analysis to provide insights, identify trends, and build dashboards. Generate regular and ad-hoc reports for stakeholders. Create standardized SQL queries that can be leveraged across the business. Knowledge sharing to guide Pricing team on new data features and improve their data analysis capabilities.
• Automation & Efficiency: improving forecasting and data reporting capabilities. Collaborate with stakeholders to define data priorities and set goals for execution (e.g. BA team support).
• Data Strategy & Collaboration: Work with a team of high-performing data science and BA professionals, and cross-functional teams to identify business opportunities to centralize data sources and build scalable data solutions.
• Data Management & Documentation: document data sources, transformation processes, and data lineage for transparency and reproducibility. Create data documentation for end-users to facilitate self-service analytics. Implement data quality checks and ensure data accuracy and consistency.
• Data Governance: Establish and enforce data governance policies and procedures. Ensure compliance with data security and privacy regulations, including GDPR, etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager