Data Analyst

Role Description

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualifications

• Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
• At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
• 5+ years of real-world data engineering development experience in Snowflake
• Proficient in the application of DBT
• Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
• Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
• Experience with data modeling and schema design
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
• Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams
• Demonstrated leadership experience with the ability to mentor and develop junior analysts
• Experience with data governance, data quality, and data integrity efforts
• Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis
• Strong project management skills with the ability to manage multiple projects and priorities simultaneously

Requirements

• Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
• Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness
• Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships, and insights
• Data Visualization: Design, build and maintain visual representations of data through charts, graphs, and dashboards
• Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner
• Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data
• Data Mining: Identifying patterns, trends, and correlations in large datasets
• Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data
• Identifying and implementing best practices for data visualization, reporting, and analysis
• Collaborating with Teams: Working closely with cross-functional teams to understand their requirements and provide analytical support
• Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools

Benefits

• Remote, Full-time position

Company Description

Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI.