Senior Data Analyst

Job Description Roles & Responsibilities Job Overview: As a Senior Data Analyst, you will play a crucial role in extracting insights from complex datasets to inform strategic decision-making and drive business growth. With a keen eye for detail and strong analytical skills, you will transform raw data into actionable insights that empower stakeholders to make informed decisions. This role will have a strong focus on supporting our Operations and Fleet teams, helping them to analyze data, uncover insights, and make data-driven decisions. Job Responsibilities: 1-SQL Database Management: Build and maintain SQL databases, ensuring data integrity, security, and optimal performance. Oversee the maintenance of databases and coordinate with data engineers to address any performance issues. Optimizing data performance. Handling all data extraction requests by creating queries on our SQL database. 2- Data Extraction and Visualization: Develop and implement efficient data extraction processes from various sources. Create visually appealing and insightful data visualizations to effectively communicate findings to stakeholders. Apply data visualization best practices to enhance data-driven decision-making across the organization. 3- Team Collaboration and Support: Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations. Work closely with the Operations and Fleet teams to understand their data needs, analyze operational and fleet data and operations challenges, and provide insights to improve efficiency and decision-making. Partner with the planning/performance team. 4- Additional Duties: Stay updated on emerging trends, tools, and technologies in the field of data analytics. Foster a data-driven culture within the organization, promoting the use of data for decision-making at all levels. Job Requirements: Bachelor's degree in a relevant field such as Data Science, Statistics, or Computer Science. 3-5 Years of experience as a Data Analyst. Strong proficiency in SQL database management The ability to use data visualization using tools such as Python, Tableau, or Power BI is a plus. Advanced knowledge of Python coding for data analytics and automation. Strong analytical and problem-solving skills, with the ability to interpret complex data and drive actionable insights. Strong business acumen and the ability to translate business requirements into analytical solutions. Desired Candidate Profile Bachelor's degree in a relevant field such as Data Science, Statistics, or Computer Science. It's preferred to have tech startup experience. 3-5 Years of experience as a Data Analyst. Strong proficiency in SQL database management The ability to use data visualization using tools such as Python, Tableau, or Power BI is a plus. Advanced knowledge of Python coding for data analytics and automation. Strong analytical and problem-solving skills, with the ability to interpret complex data and drive actionable insights. Strong business acumen and the ability to translate business requirements into analytical solutions. Company Industry ShippingFreight Department / Functional Area IT Software Keywords Senior Data Analyst Get real-time job updates only on our App