Data Analyst

Role Overview

Fusemachines seeks a Data Analyst with expertise in Tableau, Big Query, and Snowflake to join their team. The Data Analyst will be responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making within the organization.

What You Will Do

As a Data Analyst, you will work closely with Product Owners to understand their analytical needs and be part of the main digital projects of the Company. You will be responsible for defining Data Strategies, comprising the identification of critical metrics and KPIs and delivery of actionable insights to relevant decision-makers.

Why It Might Be a Fit

The ideal candidate will have strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights. They will also have experience working with cross-functional teams and a willingness to stay updated with the latest services, Data Analytics trends, and best practices in the field.

Requirements

• Bachelor’s or master’s degree in a quantitative field such as statistics, mathematics, or computer science.
• At least 7 years of experience in data analytics, with a focus on business intelligence and data visualization.
• At least 4 years of experience using Tableau to design, build, and maintain dashboards and reports, and self-service analytics.
• Proven experience delivering large-scale projects and products for Data and Analytics, as a data analyst.
• Tableau Certified Data Analyst
• Highly skilled in digital behavior analysis and obtaining business insights.
• Highly skilled in Data Visualization, specifically in Tableau.
• Strong SQL skills and experience working with complex data sets, Enterprise Data Warehouse, and writing advanced SQL queries.
• Proficient with Relational Databases (Oracle, SQL Server, MySQL, Postgres, or similar) and NonSQL Databases (Cassandra, MongoDB, Neo4j, etc.).
• Good programming Skills in one or more languages such as Python.
• Expertise in data cleansing, transformation, and validation.
• Good understanding of Data Modeling and Database Design Principles.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis.
• Strong understanding of the software development lifecycle (SDLC), especially Agile methodologies.
• Knowledge of SDLC tools and technologies, including project management software (Jira or similar), source code management (GitHub, GitLab or similar), CI/CD system (GitHub actions, Jenkins or similar) and binary repository manager (Sonatype Nexus or similar).
• Good understanding of Data Quality and Governance, including implementation of data quality and integrity checks and monitoring processes to ensure that data is accurate, complete, and consistent.
• Effective negotiation and communication skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data engineers, data scientists, developers, and operations teams.
• Self-motivated with the ability to work well in an agile team.
• Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive.
• A willingness to stay updated with the latest services, Data Analytics trends, and best practices in the field.
• Spoken and written English (Intermediate-advanced level).

Tagged as: Data Analysis