Senior Data Analyst

Senior Data Analyst

22 oct
|
Fusemachines
|
Astrea

22 oct

Fusemachines

Astrea

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the role:





We are seeking a talented and experienced Data Analyst with expertise in Tableau, Big Query, and Snowflake to join our team, with strong expertise and knowledge in the SAAS domain. 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. Job Description: 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 the definition of Data Strategies, comprising the identification of critical metrics and KPIs and delivery of actionable insights to relevant decision-makers, using the latest technologies based on the cloud. You will perform as a data translator, creating a bridge between the technical expertise of data engineers and data scientists and the domain expertise of business teams. This is a 4 months contract, remote-based role.





Qualification & Experience Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science. At least 5 years of experience in data analytics, with a focus on business intelligence and data visualization. At least 3 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. Following certifications: Tableau Certified Data Analyst Required skills/Competencies 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 NoSQL 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), and CI/CD systems. Good understanding of Data Quality and Governance. Effective negotiation and communication skills to collaborate with cross-functional 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). Responsibilities Define and implement Data Strategy: collect, process, share, analyze, and commercial action of Digital Projects. Define and implement Digital Analytics Strategy. Data Collection and Modeling: Gathering and exploring data from various sources.





Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. Data Analysis: Proactively applying statistical techniques and analytical methods to examine data. Data Visualization: Design, build, and maintain rich interactive visual representations of data. Reporting: Summarizing and presenting findings from data analysis clearly and concisely. Data Governance including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data. Data Mining: Identifying patterns, trends, and correlations in large datasets. Identifying and implementing best practices for business intelligence. Work in an agile team focused on digital projects. Collaborating with Teams: Working closely with cross-functional teams. Continuous Learning:





Staying updated with industry trends. If you are a data-driven individual with strong leadership skills and experience with Tableau, Big Query, and Snowflake, we encourage you to apply for this exciting opportunity. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. #J-18808-Ljbffr

▶️ Senior Data Analyst
🖊️ Fusemachines
📍 Astrea

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