Senior Data Analyst
hace 5 días
Senior Data Analyst Position Summary The Senior Data Analyst is responsible for transforming complex data into actionable insights that support strategic and operational decision-making across the organization. This role combines advanced analytical capabilities, data modeling expertise, and business acumen to drive efficiency, optimize performance, and identify growth opportunities. The ideal candidate is comfortable navigating large datasets, automating reporting pipelines, and communicating analytical findings to both technical and non‑technical audiences. Key Responsibilities Data Analysis & Modeling: Design, build, and maintain analytical models to track business KPIs, operational efficiency, and financial performance. Exploratory Data Analysis: Perform EDA to uncover trends, anomalies, and opportunities. Data Integrity: Validate data across multiple systems and ensure consistency across sources. DASHBOARDS & REPORTING: Develop interactive dashboards and automated reports using Power BI. Data Storytelling: Present insights through clear narratives that enable data‑driven decisions at all organizational levels. Data Infrastructure & Automation: Collaborate with data engineers to optimize ETL pipelines and improve data availability; develop scalable automation processes to reduce manual reporting. Business Partnerships: Work cross‑functionally with stakeholders in Finance, Operations, and Technology to understand business challenges, translate findings into actionable recommendations, and mentor junior analysts. Required Skills & Qualifications Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related field. 5+ years of experience in data analytics or business intelligence roles. Strong proficiency in SQL (complex joins, CTEs, performance optimization). Experience with Power BI and Excel (advanced formulas, pivoting, modeling). Proficiency in Python or R for statistical analysis. Experience working with cloud‑based data ecosystems (e.g., Azure). Strong understanding of data modeling, ETL, and database design. Excellent communication and presentation skills. Preferred Skills Experience with DAX/M Query (Power BI). Familiarity with APIs, data automation, and integration tools. Knowledge of financial modeling, forecasting, and analytics. Experience in multinational or shared‑service environments. Behavioral Competencies Analytical mindset with a focus on accuracy and attention to detail. Strong ownership, curiosity, and ability to challenge assumptions. Comfortable working with ambiguity and transforming data into clarity. Proven ability to manage multiple priorities and tight deadlines. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Analyst, Advertising, and Information Technology Industries Data Infrastructure and Analytics Climate Data and Analytics Marketing Services #J-18808-Ljbffr
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Senior Data Analyst: Insights, Dashboards
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Senior Data Analyst
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