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Data & Reporting Analyst

Location

Argentina

Posted

29 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

Data & Reporting Analyst

Pie Insurance - Contracts

Role Description As a Data & Reporting Analyst, you will be a core member of the Revenue Operations & Analytics team. You will partner with stakeholders across sales, marketing, and operations to build scalable analytics solutions that drive smarter, faster, and more informed business decisions. This is a high-impact contract role where the dashboards, pipelines, and insights you build will directly shape how Pie measures growth and drives revenue efficiency. How You'll Do It - Build & Optimize Data Infrastructure: - Write and optimize complex SQL queries in Snowflake (joins, CTEs, window functions, aggregations). - Build and maintain derived tables, data transformations, and analytical datasets. - Understand Snowflake schemas spanning marketing, sales, and policy data; join operational data across systems. - Perform data validation, reconciliation, and quality assurance. - Create Self-Service Analytics: - Build, enhance, and maintain Looker dashboards for Revenue Operations. - Use LookML to model and expose Snowflake tables, define measures, and manage relationships. - Develop and optimize Power BI reports for business stakeholders as needed. - Ensure dashboards are accurate, performant, and aligned with evolving business needs. - Automate & Scale Reporting: - Develop and maintain R scripts to automate recurring reporting and data processing tasks. - Schedule and monitor R jobs (e.g., via Windows Task Scheduler) that query Snowflake, process data, and refresh outputs. - Ingest, transform, and prepare .csv and API-based data feeds for upload to Snowflake. - Automate data delivery to dashboards, spreadsheets, or Looker. - Drive Business Impact: - Partner with stakeholders across Revenue Operations to define KPIs and reporting frameworks. - Support campaign measurement, funnel analysis, and A/B testing when applicable. - Translate analytical findings into clear insights and recommendations for business decisions. - Deliver insights that improve conversion, retention, and operational efficiency. Qualifications - 3+ years of experience in analytics, data engineering, or business intelligence. - Strong SQL proficiency required; experience with Snowflake preferred — candidates with comparable experience in MS SQL Server, Oracle, Postgres, MySQL, or Redshift are encouraged to apply. - Experience with Looker preferred; candidates with comparable experience in Tableau or Power BI are encouraged to apply. - Proficiency in R or Python for data transformation, automation, and ETL tasks. - C1 or C2 English proficiency required for effective communication with US-based stakeholders. - Excellent problem-solving and communication skills, with the ability to translate technical work into actionable insights. - Familiarity with statistical concepts (e.g., regression, confidence intervals) is a plus. - Experience with Salesforce reporting on core objects and relationships is a plus.

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