Key skills
SQLData modelingData warehousingETL pipelinesBI toolsCloud servicesVersion control (Git)Analytical skillsCommunication skillsCollaboration skillsAttention to detailProblem-solvingETLData WarehousingAnalyticsBITableauPower BISnowflakedbtAWSAzureGoogle CloudGitVersion ControlCommunicationCollaboration
About this role
Liveops is seeking an experienced Analytics Engineer to be a key contributor in helping transform their Analytics capabilities across the business. The role involves designing, building, and maintaining the analytics layer of the data environment, ensuring data is standardized and accessible, while collaborating with stakeholders to meet their data needs.
Responsibilities:
- 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
Requirements:
- 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