Data Analyst

New

LeegalityData analytics

Source API remote eligibility restrictions: United StatesFull-Time

Salary not disclosed

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Job Details

Required Skills: SQLMicrosoft Power BISnowflakeTableauMicrosoft ExcelGoogle SheetsBigQuery

Demonstrate strong SQL proficiency, including joins, CTEs, and window functions.
Have experience extracting data from a warehouse such as Amazon Redshift, Snowflake, or BigQuery.
Have experience with BI or dashboarding tools such as Tableau, Metabase, or Power BI.
Have advanced Excel or Google Sheets skills.
Have hands-on experience using AI tools in an analytics workflow and writing prompts for data tasks.
Understand basic ETL concepts and how data pipelines work.
Be familiar with AWS Glue, PySpark, or similar ETL tools.
Have Python and pandas experience for data analysis and automation.
Be familiar with Google Apps Script or similar automation tools.
Have exposure to AWS services such as S3, Secrets Manager, IAM, or CloudWatch.

Respond to data requests from teams and stakeholders using AI-assisted workflows.
Analyze complex datasets and extract decision-ready insights.
Develop and maintain interactive dashboards using Tableau, Metabase, Power BI, or similar tools.
Use SQL to extract, transform, and analyze data, including generating, optimizing, and debugging queries.
Monitor ETL pipelines and data freshness, and work with the technical team to address job failures.
Run optimized queries on Amazon Redshift and perform reconciliation checks to maintain data quality.
Use AI assistants to accelerate SQL writing, data cleaning, exploratory analysis, and reporting.
Automate repetitive reporting and data operations with Python, Apps Script, or similar tools.
Validate AI-generated outputs against source data and follow data privacy and security practices.
Present findings and data-driven recommendations to technical and non-technical stakeholders.

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