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Service Quality and Readiness Business Intelligence Lead

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

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 both 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.  

This role is based in Dublin.  

The Member & Customer Success Enablement (MCSE) teams within Go to Market Enablement (GTME) drives impact and results essential to the success of the business by providing flexible and innovative learning and performance solutions to develop Global Business Operations (GBO) employees. Our Service Quality & Readiness team enables Member & Customer Success (MCS) teams to drive quality rep performance at scale and deliver a quality customer and member experience.   

This team functions as a global horizontal department that supports the needs of multiple service and success verticals in various regions, so this individual must be adaptable and willing to evolve to meet changing demands in a fast-paced environment.  The successful candidate must have a passion for LinkedIn’s vision and culture of transformation.  We dream big, we have fun, and we get things done.  In addition, the ideal candidate will bring a multidimensional background that combines mentoring and coaching along with analytical skills and a practical hands-on approach to providing business insights.      

Responsibilities:  

  • Dashboard and Report Development & Maintenance:  
  • Develop, maintain, and enhance Power BI and NLP dashboards and reports for various views including Consultant, Manager, Global Support Leadership, MCSE, and other cross-functional areas.  
  • Implement and maintain Row-Level Security (RLS) for sensitive data access control across environments, ensuring tailored data visibility across different user levels.  
  • Data Management and Analysis:  
  • Design and integrate natural language processing (NLP) models to support reporting and dashboard functionalities.  
  • Coordinate the tuning of sentiment and behavior models, ensuring the accuracy and relevance of analytics insights derived from Natural Language Processing (NLP) and other analytical techniques.  
  • Project and Vendor Management:  
  • Serve as the primary contact for Productivity Engineering (PE) queries related to user management, facilitating effective communication and problem resolution.  
  • Manage relationships with external tool vendors and partners, coordinating effectively to support data integration, dashboard development, and maintenance efforts.  

Qualifications

Basic Qualifications:  

  • 3+ years of experience in one or more of the following: Natural Language Processing Model Development, BI Dashboard Development, Service Quality Management, Service Quality Analysis, Customer Service Quality, or Customer Success Quality.  
  • 1+ years of experience in Power BI, including experience in data visualization, DAX, and Power Query for developing and maintaining dashboards and reports.  
  • 2+ years of experience with analytics and data processing tools for data modeling, integration, and analysis.  
  • Knowledge of data architecture and management, with the ability to design and manage complex data models.  
  • 1+ years of experience with Row-Level Security (RLS) implementation and data protection regulations compliance.  

Preferred Qualifications:    

  • Passion for LinkedIn’s vision and transforming customer experience.  
  • Self-driven with the ability to take initiative, work independently, and deliver results autonomously.  
  • Experience leading and managing change initiatives to facilitate the adoption of new processes and technologies.  
  • Proficiency in generative AI tools for data analysis, automation, and enhancing customer engagement.  
  • Ability to thrive in a dynamic environment, embracing change and executing high-value strategies efficiently.  
  • Expertise in organizing and prioritizing across multiple projects with conflicting deadlines.  
  • Familiarity with Design Thinking and innovation methodologies.  
  • Strong ability to influence and partner with all organizational levels to drive results.  
  • Six Sigma certification or training, with an understanding of quality management methodologies (e.g., root cause analysis, control charts, pareto charts).  
  • Passionate about service quality and performance improvement in collaborative and independent work environments.  

Suggested Skills:  

  • Power BI and Data Analytics  
  • Service Quality Management  
  • Data Architecture and Security  

  

Additional Information

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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Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Service Quality and Readiness Business Intelligence Lead, LinkedIn

Looking for a game-changing career? Join LinkedIn as a Service Quality and Readiness Business Intelligence Lead based in Dublin, Ireland! At LinkedIn, we’re on a mission to create economic opportunities for every member of the global workforce, and we’re excited to invite passionate individuals like you to help shape that future. In this role, you’ll be at the heart of our Member & Customer Success Enablement (MCSE) teams, which focus on delivering innovative learning and performance solutions aimed at enhancing the experience for our Global Business Operations (GBO) employees. You’ll leverage your expertise in Power BI and Natural Language Processing (NLP) to develop and maintain insightful dashboards and reports that empower our teams to perform at their best. Working in a hybrid environment, you’ll have the flexibility to work from home while collaborating closely with colleagues across various regions. We value adaptability, so you’ll thrive in the fast-paced changes that come with this role. You’ll be tasked with data management and analysis, enabling effective data-driven decisions to drive quality and member success. We encourage a culture of trust, care, inclusion, and fun at LinkedIn, a place where everyone can succeed. If you have a passion for transforming customer experiences and want to be part of a dynamic team that dreams big, then this is your opportunity to shine at LinkedIn. Let’s make work more rewarding together!

Frequently Asked Questions (FAQs) for Service Quality and Readiness Business Intelligence Lead Role at LinkedIn
What does a Service Quality and Readiness Business Intelligence Lead at LinkedIn do?

As a Service Quality and Readiness Business Intelligence Lead at LinkedIn, your primary responsibility will be to develop and maintain dashboards and reports using Power BI and NLP. You will ensure quality performance across member and customer success teams, analyze data for informed decision-making, and manage relationships with external vendors to enhance data integration.

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What qualifications do I need to apply for the Service Quality and Readiness Business Intelligence Lead role at LinkedIn?

To apply for the Service Quality and Readiness Business Intelligence Lead position at LinkedIn, you should have at least 3 years of experience in areas such as Natural Language Processing, BI Dashboard Development, or Service Quality Management, along with proficiency in Power BI and analytics tools. Experience with data architecture and Row-Level Security is also important.

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Is remote work an option for the Service Quality and Readiness Business Intelligence Lead position at LinkedIn?

Yes, the Service Quality and Readiness Business Intelligence Lead role at LinkedIn includes a hybrid work option, allowing you to work from home or in the Dublin office based on your and your team's needs.

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What skills are important for the Service Quality and Readiness Business Intelligence Lead at LinkedIn?

Key skills for the Service Quality and Readiness Business Intelligence Lead position at LinkedIn include expertise in Power BI, data analytics, service quality management, strong communication abilities, and the ability to lead change initiatives. A passion for transforming customer experiences is crucial.

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What type of team culture can I expect at LinkedIn as a Service Quality and Readiness Business Intelligence Lead?

At LinkedIn, you can expect a supportive culture based on trust, care, and fun, where collaboration and innovation are encouraged. The team dynamic focuses on creating transformative opportunities for every member, fostering an inclusive environment.

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What is the career growth potential for a Service Quality and Readiness Business Intelligence Lead at LinkedIn?

At LinkedIn, the Service Quality and Readiness Business Intelligence Lead position offers considerable career growth potential. You’ll have opportunities to hone your analytical skills, lead cross-department projects, and impact global business operations significantly.

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Can I learn about service quality management as a Service Quality and Readiness Business Intelligence Lead at LinkedIn?

Absolutely! In the Service Quality and Readiness Business Intelligence Lead role at LinkedIn, you’ll deepen your understanding of service quality management, work with experienced professionals, and engage in various projects that enhance your expertise in this field.

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Common Interview Questions for Service Quality and Readiness Business Intelligence Lead
How do you approach dashboard development using Power BI?

When approaching dashboard development using Power BI, I focus on understanding user needs and translating those into meaningful data visualizations. My experience includes gathering requirements, creating prototypes, and iterating based on feedback to ensure the dashboards deliver actionable insights.

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Can you explain your experience with Natural Language Processing models?

I have hands-on experience designing and tuning NLP models to analyze customer feedback and sentiment. This involved integrating these models into reporting dashboards to provide context and insights that guide strategic decisions in service quality.

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How do you ensure data accuracy and integrity in your reports?

To ensure data accuracy, I implement rigorous data validation processes and leverage Row-Level Security to manage data access. Proper documentation and regular audits also help maintain data integrity throughout the report generation process.

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How would you handle conflicts between project deadlines and deliverables?

In managing conflicting deadlines, I prioritize by assessing the impact of each task and communicate proactively with stakeholders. Team collaboration and transparency often lead to creative solutions that align project goals with due dates.

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Describe a time when you successfully led a change initiative.

I successfully led a change initiative by introducing a new analytics tool that streamlined our data reporting process. I gained stakeholder buy-in through informative sessions, gathered feedback during implementation, and ensured support for team adaptiveness through training.

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What strategies do you use to motivate your team?

To motivate my team, I focus on creating an environment of trust, recognition, and open communication. Encouraging feedback, celebrating successes, and aligning individual goals with team objectives play a vital role in fostering a motivated atmosphere.

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How do you stay updated with the latest developments in data analytics?

I stay updated with the latest developments in data analytics by participating in webinars, attending industry conferences, and being an active member of online forums and communities where professionals exchange insights and innovations.

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How do you define service quality, and why is it important?

Service quality can be defined as the measure of how well the delivered service meets customer expectations. It's important because it directly impacts customer satisfaction, loyalty, and overall business performance, which is essential in today’s competitive landscape.

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What data protection measures have you implemented in your projects?

In previous projects, I have implemented data protection measures such as Row-Level Security, data encryption, and adherence to compliance standards. Regular training sessions on data security protocols were also conducted to ensure all team members understood best practices.

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How do you maintain work-life balance in a fast-paced environment?

Maintaining work-life balance in a fast-paced environment is vital. I prioritize my tasks, set boundaries for work hours, and engage in activities that rejuvenate me, ensuring I remain productive and effective while safeguarding my personal well-being.

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Our mission is to create economic opportunity for every member of the global workforce and this vision connects our more than 16,000 employees in dozens of offices across five continents. It inspires us to invest in our talent, support career grow...

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November 28, 2024

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