Data Analyst – Business & Analytics

Description

Job Summary: This role is for a Data Analyst who transforms data into actionable insights, interpreting, questioning, and proposing evidence-based strategic improvements. Key Highlights: 1. Transforms data into actionable insights for strategic decisions. 2. Analyzes, interprets, and proposes improvements with an evidence-based focus. 3. Collaborates with finance, operations, HR, and production to generate value. **Role Purpose:** Transform data into **actionable insights** that drive the business’s strategic decision-making. This role bridges data and operations, generating value through analysis, visualization, and deep understanding of key performance indicators. The data analyst does not merely report: **interprets, questions, and proposes evidence-based improvements.** **Key Responsibilities:** * Analyze structured and unstructured data to identify patterns, trends, and opportunities. * Design and build business-oriented dashboards and executive reports. * Generate clear and actionable insights from historical and real-time data. * Define, calculate, and monitor critical business KPIs. * Perform data cleaning, transformation, and preparation processes. * Validate data quality, consistency, and integrity. * Translate business requirements into concrete quantitative analyses. * Document metrics, definitions, and data sources (data dictionary / data catalog). * Collaborate closely with departments such as finance, operations, human resources, agro/production, among others. * Identify process improvement opportunities through data analysis. **Technology Stack:** Languages \& Data * SQL (**mandatory – intermediate/advanced level**) * Python (data analysis – pandas, numpy, etc.) Visualization \& Reporting * Power BI (modeling, DAX, visualization) * Excel (advanced – pivot tables, formulas, analysis) Platform * SQL Server * Databricks (desirable) Core Technical Knowledge * Applied business statistics * Exploratory data analysis (EDA) * Basic data modeling (relational, dimensional) * KPI definition and management * Data cleaning and transformation techniques * Data storytelling (effective communication) * Segmentation, cohorts, and comparative analysis * Interpretation of trends and projections Key Competencies * Analytical thinking and problem-solving orientation * Ability to translate data into business decisions * Clear communication with non-technical stakeholders * Curiosity and critical mindset (questioning the data) * Results- and impact-oriented Nice to Have (Differentiators) * Experience in specific industries (retail, fishing, etc.) * Basic knowledge of machine learning (predictive/descriptive) * Experience working with large volumes of data * Knowledge of data governance tools Salary: From S/.1\.00 per month Application Question(s): * What is your salary expectation? Work Location: On-site employment