Data Analyst

Job Description

We are looking for a highly motivated and skilled Data Analyst to support our Data and Business Intelligence initiatives. In this role, you will be responsible for extracting actionable insights from large datasets to drive data-informed business decisions. A strong understanding of data analysis, statistical methods, and data visualization is essential. This position involves collaborating with cross-functional teams, contributing to the development of data infrastructure, and ensuring the integrity and quality of data.

• Extract, transform, and validate data from diverse sources to ensure accuracy, consistency, and reliability. Cleanse data, address coding errors, and develop and maintain data pipelines and models for analysis.
• Analyze large datasets to identify trends, patterns, and anomalies, applying statistical techniques and data visualization methods. Design and maintain dashboards and reports to monitor Key Performance Indicators (KPIs), generating regular and ad-hoc reports tailored to stakeholder needs.
• Cleanse and interpret complex data to provide actionable business insights. Translate findings into strategic and operational improvements, offering recommendations to optimize processes, enhance efficiency, and drive business success.
• Partner with cross-functional teams including business analysts, data engineers, and key stakeholders. Align with management to ensure that business and data priorities are met. Effectively communicate insights and analytical results to both technical and non-technical audiences.
• Support the transition towards a data-driven culture by adhering to data governance policies in data extraction, reporting, metrics, and dashboard development. Ensure compliance with data quality standards and contribute to data governance initiatives.
• Identify opportunities for process optimization and stay updated on emerging trends and best practices in data analytics. Continuously assess and refine data processes and methodologies to enhance outcomes.

Requirement

• Bachelor's degree in data-related field (e.g., Data Science, Statistics, Computer Science)
• Min 2 years of experience in data analyst role
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Proficient in Python, SQL
• Experience with ETL process and machine learning techniques is a plus