15 Data Analyst jobs in Colombia available for remote work from home. Apply for positions such as Data Analyst , Data Analyst, Insurance Data Analyst, HOA and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Integrated Data Analyst is responsible for consolidating, analyzing, and transforming data across various marketing platforms into actionable insights. They will manage data infrastructure, create automated dashboards, and collaborate with internal teams to optimize campaign performance.
The Data Analyst will interpret large volumes of data to identify business opportunities, optimize processes, and support strategic decision-making. Responsibilities include building executive dashboards, developing predictive models, and automating reporting processes to provide clear insights to leadership.
The Insurance Data Analyst will transform complex insurance data into actionable insights to support pricing, underwriting, and retention strategies. They will build and maintain analytical infrastructure and Power BI dashboards to track key performance indicators across the insurance portfolio.
You will transform complex, multi-source datasets into strategic insights to drive decision-making for global organizations. This involves building data models, visualizations, and collaborating with cross-functional teams to identify patterns and process improvements.
You will serve as the analytical backbone for financial and business decisions by leading end-to-end analytical projects and providing strategic consultation. This involves leveraging advanced statistical methods to optimize revenue, mitigate risk, and communicate actionable insights to executive leadership.
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The Data Analyst will analyze data using SQL to identify business trends and maintain stakeholder-facing dashboards and reports. They are also responsible for documenting requirements in JIRA and creating semantic definitions to improve data understanding across teams.
You will act as a bridge between Finance and Data to unify financial data stacks and ensure data accuracy for leadership decision-making. Responsibilities include maintaining financial infrastructure, tracking core KPIs, and performing FP&A tasks like forecasting and budget analysis.
Extract, query, and manipulate large-scale consumer and retail datasets using SQL to identify business trends. Translate complex data into actionable insights and maintain structured datasets for recurring reporting.
The Senior Data Analyst will support the Enterprise Risk Management function by developing insights, tracking risk indicators, and performing data-driven risk assessments. They will also monitor security alerts, track audit remediation progress, and recommend mitigation strategies to improve control effectiveness.
Design and deliver custom data solutions and reports to internal stakeholders and customers using a complex data pipeline. Collaborate with cross-functional teams to improve data access, reusability, and operational procedures to ensure high data quality.
The analyst will design custom data solutions and leverage complex pipelines to deliver accurate datasets to internal and external stakeholders. They will collaborate with commercial teams to identify data-driven opportunities and ensure high data quality standards.
The analyst will transform complex business needs and fragmented data into actionable insights, reports, and dashboards for executive decision-making. They will also manage strategic projects, document business processes, and identify opportunities for automation and systems integration.
The role involves bridging the gap between business and technical teams to translate needs into clear requirements, user stories, and process flows for CRM and BI initiatives. Responsibilities include leading discovery sessions, managing product backlogs, and validating AI-enabled data solutions.
The role involves designing and structuring data models in Snowflake optimized for analytics and business decision-making. You will also maintain and improve existing data pipelines while collaborating with infrastructure teams to ensure data quality and availability.
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