LinkedIn is hiring an

Insights Associate Program Manager

Bengaluru, India
Full-Time

Insights Associate Program Manager

As an Insights Associate Program Manager supporting the Talent Solutions business, you will leverage one of the richest proprietary data sets in the world.  You will work with a high-caliber, passionate team to lead high-impact projects and scale data-driven insights that enable our sales teams to unlock customer value.   

In this role, you will be responsible for taking the LinkedIn dataset and using it to build and maintain scalable insights solutions to support the business. You will start with the tools we’ve already created and dive deep on how we can automate, optimize, and improve upon them further. You will resolve any end-user challenges and ensure that they are able to use our internal tools effectively and reliably. This role has internal teams/stakeholders working in global time zones and hence we'd require a candidate who is flexible to work across time zones when required by the role.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. 

Responsibilities: 

  • Leverage LinkedIn’s unique data used to power innovative tools to address business challenges. 
  • Write SQL/Presto/Spark queries to extract the necessary data and leverage data visualization tools such as Tableau to present the information.  
  • Take existing queries or dashboards and optimize them to run more efficiently/consistently while building in automated checks and controls to proactively flag any problems. 
  • Handle incoming support requests to ensure our end users experience is bug-free and efficient. 
  • Experiment with various internal data tools to assess usefulness for the broader team. 
  • Build cross-functional momentum for operational improvements and partner effectively with other teams. 
  • Evangelize the use of data in sales and represent the voice of our customers. 

Basic Qualifications: 

  • 3+ years of experience with data analysis, data storytelling, turning data into insights and presenting to internal and/or external stakeholders.  
  • Experience with SQL and data visualization tools to query large data-sets (e.g. Presto, Hive, Spark SQL, Tableau, etc.) 

Preferred Qualifications: 

  • Experience with product, data engineering, or sales analytics and/or data science  
  • Ability to communicate findings clearly to both technical and non-technical audiences.   
  • Strong stakeholder management skills and the ability to influence without authority.  
  • Experience with project management & managing complex, multi-workstream programs.   
  • Strong business acumen, creative problem-solving skills, intellectual curiosity, and desire & ability to learn.   
  • Expert knowledge of SQL - excited about opportunities to optimize/tune queries joining datasets with billions of rows and optimize performance. 
  • Knowledge of Hadoop (Presto/Spark), git, & Tableau 
  • Excellent communication, teamwork, collaboration, and analytical skills 
  • Ability to provide a business lens to analytical and technical problems. 
  • Ability to build alliances across the company. 
  • Ability to translate user feedback into tool requirements. 
  • You understand the value LinkedIn creates for members and companies AND get really excited thinking about the potential of its data to help solve business problems. 

Suggested skills :

  • Sales Analytics
  • Experience in SQL
  • Data visualisation
  • Collaboration

India Disability Policy 

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

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