Data Analyst

Job Overview

This hybrid full-time position for an experienced Data Analyst requires leveraging Python, Excel VBA macros, Tableau, Power BI, and exploratory data analysis to convert complex datasets into practical insights for an international organization. The candidate will develop efficient reporting systems, improve data workflows, and support strategic initiatives across various business units, while applying domain expertise to enhance processes and contribute to sustainable business growth.

Key Responsibilities

• Conduct exploratory analysis on intricate business data to identify trends, anomalies, and patterns that drive strategic and operational improvements.
• Build and maintain robust Python-based data models and analytical frameworks that standardize calculations, enable predictive analytics, and foster scalability across projects and teams.
• Demonstrate strong capability in Power BI for data visualization and reporting.
• Create and manage advanced Excel workbooks combined with macro-driven tools that streamline tasks, enhance data accuracy, and minimize manual workloads.
• Design interactive Tableau dashboards to succinctly present key performance metrics, facilitating quick comprehension and data-informed decisions for business partners.
• Collaborate across departments to understand requirements, translate business challenges into analytical questions, and deliver outcome-driven solutions aligned with enterprise goals and industry standards.
• Execute comprehensive data validation routines utilizing MS Excel, Python, and other tools to ensure consistent, reliable datasets for decision-making.
• Evaluate and optimize data pipelines and reporting workflows by pinpointing inefficiencies and recommending automation strategies suited to a hybrid work environment.
• Maintain thorough documentation of analytical methods, data sources, assumptions, and business logic to aid transparency, reproducibility, and onboarding.
• Generate actionable insights through structured reports and presentations that underscore business impact and foster continuous improvement during day shifts.
• Work jointly with stakeholders to conduct scenario analyses and 'what-if' studies using Excel VBA and Python models, facilitating informed risk-aware planning.
• Integrate industry-relevant knowledge to benchmark performance, interpret external market trends, and ensure outputs comply with regulatory and standard frameworks.
• Uphold governance by adhering to data security protocols, respecting privacy, and promoting ethical analytics benefiting customers, communities, and the organization's mission.
• Foster analytical excellence by sharing best practices, mentoring team members in contemporary data techniques, and championing evidence-based decision-making.

Qualifications

• Proven expertise in Python for data manipulation, statistical analysis, and linkage with visualization and reporting tools.
• Advanced skills in MS Excel, including VBA macros to automate workflows, construct complex formulas, and create templated reports.
• Practical experience in Tableau for developing accessible dashboards transforming technical metrics into business-friendly visuals.
• Deep understanding of exploratory data analysis methodologies including data profiling, feature exploration, and visual detection of significant patterns and outliers.
• Relevant domain knowledge enabling alignment of metrics with business operations, compliance obligations, and evolving market dynamics.
• Experience thriving within a hybrid work setting using collaborative digital platforms to coordinate, communicate findings, and maintain productivity both onsite and remotely.