Senior Associate, Insights Analytics Engineer

LinkedIn • New York, NY

1d • $112,000 - $185,000 • 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. This role can be located in our New York or Chicago offices. As a Senior Associate, Insights Analytics Engineer supporting the Marketing Solutions business, you will leverage one of the richest proprietary datasets in the world. You will work with a high-caliber, passionate team who believes that data can transform how a company does business. You will lead high-impact programs and scale analytics tools that create value for our customers, our sales teams, and our business. Your work will help supercharge our go-to-market efforts by infusing data into how we sell and the stories we tell.  In this role, you will develop scaled customer insights solutions, used by thousands of sales professionals every day, by capturing complex business requirements, owning end-to-end technical development, and driving field-wide deployment.  This includes prototyping, developing, and validating internal and customer-facing solutions to build quality insights products. To be successful in this role, you will be a proactive, analytical product manager, using LinkedIn’s unique data and disciplined project management techniques to design and execute programs and tools focused on accelerating LinkedIn’s growth. Diverse internal partners you’ll collaborate with include—but are not limited to—Insights, Sales, Sales Readiness, Product Marketing, Engineering, Data Science, and Product.  You’ll embrace continuous learning and diverse feedback to ensure that your tools and programs are evolving and improving to meet the needs of our customers.  You like to dream big, work collaboratively to get stuff done, and know how to have fun along the way.

Requirements

• BA/BS in math, marketing, statistics, economics, business or related field
• 4+ years of work experience in project or program management or a consulting role working cross-functionally
• 3+ years of experience with data analysis, data storytelling, and data visualization tools (e.g., Tableau, Power BI, etc.) to turn data into insights and present to internal and/or external stakeholders
• 2+ years working with SQL to query large datasets (e.g., Pig, Hive, Presto, Spark SQL, etc.)
• 2+ years working with Python for data manipulation, batch processing, machine learning, statistical analysis, etc.

Nice To Haves

• Experience in digital marketing analytics
• Business acumen and creative problem-solving skills
• Experience managing complex, multi-workstream programs
• Experience working with both technical and non-technical stakeholders like sales to capture complex business requirements, solution, and drive full scale deployment (launch, adoption, impact assessment)
• Excellent interpersonal, communication, writing, presentation, statistical and data analysis skills
• Experience turning data into insights and presenting to internal (technical and non-technical) stakeholders and external stakeholders
• Expert knowledge of MS Office (Outlook, Word, PowerPoint and Excel)

Responsibilities

• Partner cross-functionally to design, plan, and execute strategy
• Create requirements and project plans for analytic programs and tools, and re-prioritize based on impact and level of effort to complete
• Build a communications plan that ensures effective delivery and awareness of new Insights product or feature launches and incorporates feedback from key stakeholders
• Establish a high bar for compelling scaled insights business cases
• Identify scaled solutions for the most important customer challenges by leveraging LinkedIn’s unique data and act as an advisor to manage stakeholder expectations
• Leverage SQL/Python to extract and manipulate necessary data
• Analyze results to generate business insights

What This Job Offers

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