Data Analyst

About Fusemachines Founded in 2013, 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, regardless of where they are in their Digital AI journeys. 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. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Type: Remote, Full-time Important: Immigration Sponsorship Policy This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future. Direct Company Sponsorship: Such as H-1B, J-1, or TN visasEmployer of Record: Listing Fusemachines as the immigration employer on any government documentationWritten Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT) About the role: 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). Qualification / Skill Set Requirement: Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirementsData Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysisData Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis softwareData Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BIReporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholdersData Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errorsData Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysisStatistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendationsIdentifying and implementing best practices for data visualization, reporting and analysisCollaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challengesContinuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency Responsibilities: Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer scienceAt least 8 years of experience in data analytics, with a focus on business intelligence and data visualization5+ years of real-world data engineering development experience in SnowflakeProficient in the application of DBTProficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streamsStrong SQL skills and experience working with complex data sets and Enterprise Data WarehouseExperience with data modeling and schema designStrong analytical and problem-solving skills with the ability to translate complex data into actionable insightsExcellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectivelyDemonstrated leadership experience with the ability to mentor and develop junior analystsExperience with data governance, data quality, and data integrity effortsAttention to Detail: