Description
Collect, process, and validate data from multiple sources to support analysis, reporting, and operations. Maintain databases and data pipelines, produce visualizations and reports, and ensure data quality, documentation, and compliance.
- • Collect, import, and transform data from spreadsheets, databases, APIs, and logs.
- • Compute and analyze datasets using SQL, spreadsheets, or statistical tools.
- • Validate and reconcile data to ensure completeness, accuracy, and consistency.
- • Maintain and update databases, tables, and data dictionaries.
- • Build and update reports, charts, dashboards, and data visualizations.
- • Document data sources, definitions, lineage, and processing steps.
- • Collaborate with stakeholders to define data requirements and presentation formats.
- • Develop and run ETL or ELT jobs and scripts to automate data pipelines.
- • Monitor data loads and troubleshoot ingestion or quality issues.
- • Apply data standards, codes, and naming conventions to classify records.
- • Manage files and metadata; organize datasets for access and analysis.
- • Prepare datasets for analytics and modeling; select appropriate queries or transforms.
- • Ensure data security and privacy compliance and manage access permissions.
- • Support publication and distribution of datasets and reports.
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Financial Services
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Source
Tasks & skills:
O*NET occupational data (work activities, skills, knowledge).
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Sources & Standards:
This site includes information from O*NET by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Career Clutch has modified some of this information for student readability. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.
Last reviewed: Jan 2026
