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Data Operations Analyst
Job description
Technical Skills: Strong MS Excel skills, PL/SQL. Power Apps, Postgres/Snowflake, Power BI are nice to have. Role Overview We are seeking a Data Integrity / Operations Analyst who goes far beyond traditional data entry. This role is designed for a detail-oriented professional with strong critical thinking skills, a growth mindset, and a desire to continuously improve how data is captured, validated, and used.
The successful candidate will not just input data, but will question its quality, identify patterns and anomalies, suggest improvements, and help ensure data integrity across systems. This is an ideal role for someone who enjoys structured work but also wants exposure to analytics, automation, and data operations at scale.
Key Responsibilities
Data Ingestion & Processing
- Accurately ingest, update, and maintain large volumes of structured and semi-structured data from multiple sources (spreadsheets, systems, documents, feeds).
- Follow defined data governance, quality, and security standards while ensuring timeliness and accuracy.
- Perform initial data cleansing, normalization, and validation before data is consumed Downstream. Core Skills
- Strong attention to detail with the ability to maintain accuracy at scale.
- Proven ability to think logically, identify issues, and solve problems independently.
- Comfortable working with structured data in tools such as Excel (including formulas, filters, and validation rules).
- Ability to write complex SQL queries to analyze issues & perform fixes.
- Ability to create analytics/insights using Power BI
- Ability to follow processes and recognize when a process needs to be questioned or improved.
Description copied from Algoleap's careers page. Read the full posting before you apply.
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