Inviting Data Analysts

North Eastern Services; Ciudad de México; A distancia; MXN 1,103,000 - 1,656,000; Jornada completa

Descripción de la vacante

A leading AI company is seeking a Data Analyst who specializes in transforming cloud data into insights. The ideal candidate will have expertise in the Microsoft BI Stack, including Power BI, and strong SQL skills. Responsibilities include designing analytical workflows, leading the data lifecycle, and collaborating with teams to meet business requirements. This is a remote, full-time position based in Mexico, Ciudad de México.

Formación

• Expert experience with Microsoft BI Stack and Power BI.
• Proficient in SQL and DAX for data analysis.
• Strong leadership and communication skills.

Responsabilidades

• Design and maintain analytical workflows using Power BI.
• Lead data lifecycle including collection and quality assurance.
• Implement automated processes using Power Automate.

Conocimientos

Microsoft BI Stack

Power BI

SQL

DAX

Agile/Scrum

Data modeling

Educación

Bachelor's or Master's degree in a quantitative field

Descripción del empleo

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.

Type: Remote, Full‑time

Inviting Data Analysts

Are you an experienced Data Analyst specializing in transforming Cloud Data and modern warehousing into strategic, executive‑level insights?

We are building a dynamic pipeline of pre‑qualified talent to fill critical data engineering roles as our business continues to scale. By providing your information, you are included in our priority pipeline of highly qualified candidates across various specialized opportunities within Fusemachines. This curated list ensures you will be among the very first to receive consideration for future full‑time opportunities, giving you a significant advantage and leading to a much shorter evaluation and interview process when a critical role opens.

About the Role

Qualifications & Experience:

• Technical Stack: Expert proficiency and mandatory experience with the entire Microsoft BI Stack including Power BI, Power Automate, Azure, SQL Server, DevOps, and GIT.
• Data Skills: Expert ability in writing SQL queries and using DAX (Data Analysis Expressions) for custom calculations on complex Enterprise Data Warehouses. Strong knowledge of logical and semantic data modeling is required.
• Education: Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science).
• Soft Skills: Strong experience with Agile/Scrum methodologies, demonstrated leadership to mentor junior analysts, and excellent communication skills to effectively translate complex insights to non‑technical stakeholders.

Key Responsibilities

• Design, develop, and maintain intuitive analytical workflows and visual representations using Power BI Reports, Dashboards, and Apps.
• Lead the entire data lifecycle, including data collection, rigorous cleaning, modeling, and quality assurance to ensure data integrity.
• Design, develop, and implement automated business processes using Power Automate.
• Collaborate with cross‑functional teams to translate business requirements into technical data and report specifications.
• Ensure the availability and optimal performance of all developed analytical artifacts.

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.