Enterprise Performance Analytics Engineer
New
Remote within the United StatesFull-TimeMiddle
Salary80,000 - 110,000 USD per year
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Job Details
- Experience
- 1-3 years
- Required Skills
- SQLETLData modeling
Requirements
- Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Engineering, Information Systems) or equivalent practical experience.
- 1-3 years of experience in a data-related role.
- Proficiency in SQL and data warehousing concepts.
- Understanding of data modeling concepts.
- Exposure to modern data stack tools.
- Understanding of version control systems.
- Understanding of ETL/ELT processes and data pipeline concepts.
- Proven analytical and organizational skills to meet deadlines in an environment of often-changing priorities.
- Conceptual thinker comfortable with ambiguity.
- Ability to work effectively with cross-functional teams to understand requirements and deliver usable data assets.
Responsibilities
- Design, build and maintain data pipelines, data marts, and other data components needed for the data analytics team.
- Transform data into well-documented, tested, and trusted datasets for analysis and reporting.
- Collaborate with data analysts and stakeholders to understand data needs and implement models that support dashboards, KPIs, and deep-dive analyses.
- Help monitor data pipeline performance and resolve data quality issues proactively.
- Contribute to documentation of data models, definitions, and data lineage.
- Stay current with modern data stack tools and techniques and apply learning to support data team initiatives.
- Provide ad hoc and regular cadence analytics and reporting that supports current goals and business initiatives
- Provide business support to the operations team as needed and interface with strategic customers when required
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