Senior Analytics Engineer
KnowBe4
AWSCloudDjangoDockerFlaskLaravelMongoDBMySQLNumpyPandasPostgresPython+3 more
Analytics Engineer
Sago
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowPythonSQLTableau
About the role
- Partner with internal stakeholders to gather requirements and translate them into repeatable, stable analytics solutions
- Maintain, update, and build SQL-based datasets and dashboards in collaboration with other data team members
- Assist in automating data cleaning, transformation, and Excel-based workflows using Python and other tools
- Support and troubleshoot stakeholder issues related to existing datasets in our data lake and data platforms
- Document data definitions, reporting logic, and analytics processes clearly and consistently
- Identify opportunities to streamline or improve existing, manual analytics tasks
- After an initial onboarding period, independently own analytics projects from request to delivery
Requirements
- Fluent/native English** communication skills** (written & verbal); must be comfortable speaking with non-technical stakeholders
- Strong **power query** and **excel **skills (pivot tables, complex formulas, data validation, automation, etc..)
- Intermediate proficiency in **SQL**
- Beginner to intermediate proficiency in **Python**
- Comfortable working with structured and semi-structured data from a variety of sources
- Familiarity with notebook-based environments such as **Jupyter, Hex, **or** SageMaker**
- Experience with business intelligence tools like **Superset**, **Power BI**, **Tableau**, etc…
- Basic understanding of Data Governance and Data Modeling concepts and best practices
- Comfortable learning new tools and platforms used for data modeling, reporting and orchestration
- Passion for improving and automating business and analytics processes
- A degree is **not required** – we welcome candidates with certifications or bootcamp training in data, analytics, or engineering (or equivalent on-the-job experience)
- **Nice-to-Haves**
- Exposure to orchestration tools like Airflow
- Knowledge of Data Lake/Lakehouse architectures
- Familiarity with columnar data storage like Parquet, Delta Lake, Iceberg, etc…
- Understanding of Git and version control best practices
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonPower QueryExcelData GovernanceData ModelingData CleaningData TransformationBusiness IntelligenceOrchestration
Soft skills
communication skillsproblem-solvingcollaborationindependenceattention to detailadaptabilityanalytical thinkingprocess improvementstakeholder managementlearning agility
