Data Analyst (MLOps & Advanced Analytics)
Core
Partner with product owners and technical teams to transform business objectives into actionable data insights through exploratory analysis and pattern identification.
Role type
Data Analyst (MLOps & Advanced Analytics)
Builds
Actionable data insights and support for predictive model development
Domain
Financial services / Advanced Analytics / MLOps
Deliverable
dashboards & analysis
Required skills
Exploratory data analysis, Python for data manipulation, SQL query optimization, Data quality assessment, Stakeholder communication, Large dataset handling
Preferred skills
Databricks, Spark/PySpark, Machine learning methodologies, Cloud-based analytics environments, MLOps concepts
Technologies
Python, SQL, Databricks, Spark, PySpark
Responsibilities
Perform exploratory data analysis to evaluate business opportunities; Partner with product owners to understand business objectives; Analyze structured and unstructured data to identify trends and risks; Assess data quality and feasibility for analytical initiatives; Support the development of predictive models through data preparation and experimentation; Collaborate with data engineering and MLOps teams for model deployment; Document methodologies and analytical findings.
Seniority
Individual Contributor
