LivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences.
At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success and reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about.
Overview:
You will report to the Director of DMD. You are expected to work in a staggered shift to provide an overlap of at least 4 hours with the US EST time zone.
We are looking for an experienced Analytics Engineer to join our team and take a leading role in building and optimizing our reporting data architecture. The ideal candidate will be proficient in advanced data modeling techniques within the Snowflake data warehouse using DBT (Data Build Tool) and possess an advanced level of SQL expertise. Additionally, they should have a solid grasp of Python for data exploration and mining insights from complex and disparate data sources.
Working as part of the Data, Models, and Decisions (DMD) team, the successful candidate has an opportunity to join an innovative data science and engineering team that’s operationalizing data across the organization. We see model-driven processes and workflows as a means to reduce uncertainty, reveal opportunity, and generate operational leverage that collectively create a new dimension of competitive advantage and lay the foundation for new revenue streams.
You will:
- Data Architecture Development: Design, develop, and maintain the reporting data architecture within Snowflake data warehouse using advanced data modeling techniques, ensuring scalability, efficiency, and data integrity.
- DBT Implementation: Utilize DBT (Data Build Tool) to build and automate data pipelines for transformations, streamlining the process of data transformation, cleansing, and enrichment.
- Advanced SQL Expertise: Write complex SQL queries and scripts to extract, transform, and analyze data from various sources, optimizing query performance and ensuring adherence to best practices.
- Python Data Exploration: Leverage Python programming skills to explore and manipulate data, develop custom analytics solutions, and extract actionable insights from large and complex datasets.
- Data Mining and Insights: Collaborate with business stakeholders to understand reporting requirements and use data mining techniques to uncover trends, patterns, and insights that drive strategic decision-making and business growth.
- Performance Optimization: Continuously monitor and optimize the performance of data pipelines, queries, and processes to ensure timely and accurate delivery of data to reporting and analytics applications.
- Documentation and Knowledge Sharing: Document data architecture, processes, and solutions, and provide training and knowledge sharing sessions to empower other team members with the skills necessary to leverage data effectively.
You have:
- 5+ years of experience in data engineering, analytics engineering, or a related role, with a focus on building reporting data architecture
- 5+ years of experience in advanced SQL, with the ability to write complex queries, optimize query performance, and ensure data quality and integrity.
- 2+ years of hands-on experience with DBT (Data Build Tool) for data transformation and pipeline orchestration.
- Strong proficiency in Snowflake data warehouse, including experience with data modeling, performance optimization, and administration.
- Proficiency in Python programming for data exploration, manipulation, and analysis.
- Experience working with complex and disparate data sources, including structured and unstructured data.
- Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
- Demonstrated ability to independently uncover insights and relationships across numerous datasets
- Bachelor’s degree in Computer Science, Statistics, or another quantitative field
Benefits:
- Health: medical, dental, and vision
- Time away: vacation and holidays
- Development: Generous tuition reimbursement and access to internal professional development resources.
- Equal opportunity employer
- #LI-Remote
Why you’ll love working here:
As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace.
Belonging at LivePerson:
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.
