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Data Analyst II (Data, Models & Decisions)

LivePerson is a leading company in enterprise conversations seeking a skilled Business Data Analyst. You will analyze data and provide actionable insights to enhance business operations.

Skills

  • Data visualization
  • Statistical analysis
  • SQL proficiency
  • Python knowledge
  • Dashboard creation

Responsibilities

  • Utilize data visualization techniques to reveal insights
  • Analyze data problems across multiple systems
  • Conduct statistical analysis to forecast trends
  • Participate in data requirement gathering and interpretation
  • Ensure data integrity and quality across platforms

Education

  • Bachelor’s degree in Computer Science, Statistics, or related field

Benefits

  • Health: Medical, Dental, Vision
  • Vacation and holiday time away
  • Tuition reimbursement and professional development resources
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst II (Data, Models & Decisions), LivePerson

Join LivePerson as a Data Analyst II (Data, Models & Decisions) and play a vital role in shaping the future of enterprise conversations! As a leader in conversational AI, LivePerson empowers major brands like HSBC, Chipotle, and Virgin Media by providing insights that enhance customer experiences. In this remote role based in Pune, Maharashtra, you'll dive deep into sales, marketing, and revenue data to uncover actionable insights that drive business success. You'll leverage cutting-edge data visualization techniques and statistical analysis to navigate the complexities of diverse datasets while creating impactful dashboards and reports. Collaboration is key, as you'll work closely with the dynamic Data, Models, and Decisions (DMD) team, actively participating in the entire data lifecycle—from gathering requirements and preparing data to interpreting results. Your expertise in SQL, advanced PowerBI skills, and familiarity with Python will be essential as you tackle challenging data problems and ensure the integrity and quality of data across platforms. LivePerson values innovation and encourages you to think outside the box, finding new solutions for customer-centric challenges. If you thrive in a fast-paced environment and are eager to make a mark in the data-driven world, LivePerson is the perfect place for you to grow your career while being part of a diverse and inclusive team. We can’t wait to see the impact of your insights, so if you're ready for this exciting journey, let’s connect!

Frequently Asked Questions (FAQs) for Data Analyst II (Data, Models & Decisions) Role at LivePerson
What are the key responsibilities of a Data Analyst II at LivePerson?

As a Data Analyst II at LivePerson, your key responsibilities include applying innovative data visualization techniques to uncover actionable insights, solving complex data problems through in-depth analysis, and participating in the data lifecycle from requirement gathering to data interpretation. You will also be responsible for ensuring data integrity, creating dashboards and reports, and utilizing statistical analysis to forecast trends.

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What qualifications are needed for the Data Analyst II position at LivePerson?

To qualify for the Data Analyst II position at LivePerson, you should have at least 3 years of experience in data analysis with proficiency in PowerBI and a minimum of 2 years of advanced SQL experience. A Bachelor's degree in a quantitative field like Computer Science or Statistics is required. Additionally, knowledge of Python, especially with libraries like pandas and matplotlib, is preferred, along with strong communication skills.

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How does LivePerson support professional development for its Data Analyst II employees?

LivePerson is committed to the growth of its employees. Data Analyst II positions come with generous tuition reimbursement and access to internal professional development resources, ensuring that you have the tools and support necessary to advance your career in data analytics and beyond.

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What tools do Data Analyst II team members use at LivePerson?

Data Analyst II team members at LivePerson primarily use PowerBI for data visualization, along with advanced SQL for data querying. Familiarity with Python is advantageous, particularly with libraries such as pandas and matplotlib. These tools enable analysts to effectively present data and derive actionable insights to support business decisions.

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What is the team culture like for Data Analyst II at LivePerson?

The team culture at LivePerson for the Data Analyst II role is highly collaborative and inclusive. Employees are encouraged to ask questions, seek innovative solutions, and contribute their unique perspectives. The DMD team values diversity and fosters an environment where everyone can thrive and achieve their full potential.

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Common Interview Questions for Data Analyst II (Data, Models & Decisions)
How do you approach data visualization for business insights?

When approaching data visualization, I start by understanding the specific business objectives and audience needs. I prioritize clarity and relevance in my visualizations, ensuring that key insights are easily interpretable. By using tools like PowerBI, I create dashboards that highlight trends and actionable insights, facilitating informed decision-making.

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Can you describe your experience with SQL and how you use it in your data analysis process?

I have over two years of experience in writing advanced SQL queries to extract, manipulate, and analyze data from multiple databases. My approach usually involves crafting complex queries to join data from different sources, ensuring accuracy while prioritizing performance. This skill allows me to derive valuable insights that contribute to strategic business initiatives.

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What techniques do you employ for forecasting trends in data?

For forecasting trends, I typically start by conducting a statistical analysis of historical data to identify patterns. Techniques such as linear regression or time series analysis help me to establish relationships and make predictions based on identified trends. Additionally, I embrace automation and AI tools to continuously refine and enhance my forecasting capabilities.

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How do you ensure data integrity throughout the data lifecycle?

To ensure data integrity, I implement verification techniques during data collection, processing, and analysis phases. This includes regular data audits, checks for consistency, and validation against known standards. I prioritize documentation and create clear protocols for data handling to minimize errors and maintain high data quality across all platforms.

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Describe a challenging data problem you faced and how you resolved it.

In a previous project, I encountered a dataset with significant discrepancies due to incomplete records. To resolve this, I performed a thorough data cleaning process, utilizing outlier detection methods and integrating additional sources to fill gaps. This multi-faceted approach allowed me to enhance data quality, leading to more reliable analysis and conclusions.

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How do you prioritize tasks when working on multiple data projects?

When handling multiple data projects, I prioritize my tasks based on urgency and impact. I often use project management tools to keep track of deadlines and progress. I also communicate regularly with stakeholders to align on priorities and adjust my focus as needed, ensuring that critical tasks are completed timely while maintaining high quality.

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What role do dashboards play in your analysis work?

Dashboards are essential in my analysis work, as they provide a visual representation of data that makes insights easily digestible for business stakeholders. By designing interactive dashboards, I allow users to explore data themselves, providing them with the flexibility to analyze various aspects dynamically and make data-driven decisions effortlessly.

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Can you explain your experience with data modeling?

I have a strong background in data modeling, which involves the design and creation of database structures that support effective data analysis. This includes defining relationships between different data elements and ensuring that models are scalable and efficient. My experience has taught me the importance of aligning data models with business needs to provide meaningful insights.

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

I regularly engage with professional communities, attend webinars, and follow leading data analytics blogs and resources. Continuous learning is crucial in this fast-evolving field, so I invest time in certifications or courses that enhance my skills and knowledge, ensuring I can implement the latest techniques and tools in my analyses.

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What makes you excited about working as a Data Analyst II at LivePerson?

I’m particularly excited about the opportunity to work at LivePerson because of its innovative approach to enterprise conversations and commitment to data-driven decision-making. The chance to collaborate with a diverse team, tackle challenging data problems, and contribute to impactful solutions aligns perfectly with my professional aspirations and values. I am eager to be part of a company that celebrates growth and fosters inclusivity.

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$60,000/yr - $80,000/yr
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DATE POSTED
April 18, 2025

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