Top Data Analyst Jobs in Tijuana

The Customer Success Data Analyst will support the Customer Success team by focusing on data analytics and reporting, developing strategies, performing ad hoc analyses, creating Salesforce reports, and utilizing SQL and Python as necessary.

The Data Analyst will consolidate and correlate data from various systems within Google Cloud Platform, focusing on data transformation and visualization. This role requires optimizing data models and responsive dashboards, as well as independent problem-solving to support business insights.

The Data Analyst II will analyze structured and unstructured datasets, create reports and visualizations, troubleshoot database issues, ensure data accuracy, and support data infrastructure. They will work independently to identify efficiencies and trends in data, collaborating with analytics experts when needed.

The Data Analyst at World Business Lenders will manage, validate, and ensure the integrity of large datasets for risk modeling and financial analysis. Responsibilities include maintaining databases, collaborating with cross-functional teams, validating incoming data, and transforming raw data into insights for financial forecasting and risk reporting.

The Data Analyst will manage large datasets for risk modeling and financial analysis, ensuring data integrity and security. Collaborate with cross-functional teams, maintain databases, conduct validation checks, and transform raw data into insights.

As a Data Analyst at Hitachi Vantara, you will deliver analytical insights and dashboards, apply statistical analysis, track business KPIs, and support process improvements. Your role involves collaborating across functions and transforming data into structured information for informed decision-making.

The Finance Data Analyst at Sezzle will work closely with the finance team to provide insights and create reports and dashboards. Responsibilities include writing SQL queries, data visualization, performing data analyses, and assisting in decision-making processes across multiple departments.

As a Senior Data Engineer/Analyst, you will design and optimize data pipelines, maintain scalable data architectures, implement ETL processes, perform data analysis, build visualizations, and deploy machine learning models while mentoring junior members and collaborating with various stakeholders.