Analytics Engineer

Analytics Engineer  

The Purpose of Your Role 

The Analytics Engineer at Liveops plays a pivotal role in enhancing the company's analytics capabilities by creating insightful data-driven solutions. These solutions span to Data Consumers, BI Developers, Data Scientists and Enterprise Architects. Developing data models and optimizing data processes. This position involves close collaboration with stakeholders to meet their data needs, ensuring effective decision-making and strategic business support through the use of Data Vault Methodology. 

The Qualifications We’re Looking For 

• Bachelor’s Degree in a quantitative or technical field or equivalent experience.  
• 4 to 6 year’s experience in a data centric role using SQL. 
• Experience with data design and development data modeling, data warehousing, and building ETL pipelines. (e.g., Snowflake and DBT.)  
• Familiarity with BI tools (e.g., Tableau, Power BI)  
• Strong business acumen with the ability to think strategically and work independently. 
• Knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and their data-related offerings. 
• Experience working in a version control system like Git. 
• Excellent analytical and problem-solving abilities. 
• Strong communication and collaboration skills. 
• Bonus if you have experience building Apps in StreamLit 

The Competencies You Bring 

Attention to Detail * Individual Impact and Influence * Conceptual Thinking * Data Gathering & Analysis * Dealing with Ambiguity * Decision Making   

The Value You Deliver 

• Play a critical role in the design, development, support, and continuous improvement of the Data Warehouse environment supporting internal and external stakeholders.   
• Analyze complex data from multiple sources, determining configuration and connection methods for ingestion.  
• Design Data Models and reports using DBT for external consumption  
• Develop solutions for the entire organization according to best practices, and industry standards.  
• Participate in an Agile Project Management style which runs on a 4-week cadence.  
• Refine Data Models to improve performance and overall cost 
• Work collaboratively with and understand the analytical reporting needs of business stakeholders. 
• Effectively communicate technical subject matter to non-technical business stakeholders  
• Work with disparate data sources and systems to facilitate a high-performance Data Warehouse environment 

Essential Job Functions  

Essential functions are the fundamental, crucial job duties that an employee must be able to perform, with or without reasonable accommodation.  

• Ability to sit or stand at a desk for extended periods of time while working on a computer.   
• Available for virtual meetings in a non-distracted environment.   
• Ability to work independently and meet deadlines. 
• Design, develop, and maintain the analytics layer of the data environment, ensuring standardized and accessible data across the organization. 
• Collaborate with stakeholders to create data models and optimize data processes for effective decision-making and strategic business support. 
• Analyze complex data sets, develop ETL pipelines, and refine data models to improve performance and reduce costs within the Data Warehouse environment. 

About Liveops