Business Data Analyst ( Planet Fitness )

Inetum · IT Services & Consulting · Mexico City, CDMX, Mexico

Mexico City, CDMX, MexicoInfra & DataSeptember 17, 2025Read from SmartRecruiters
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How fresh is this listing

Likely a ghost listingVerified on the publisher's site 2 hr. ago

Old or reposted several times: there is a fair chance this is a standing pipeline rather than a real opening. Ask the recruiter whether the role is budgeted.

  • Up for 362 d
  • Inetum takes listings down after a median 52 d (78 closed listings observed)

Checked every six hours on the publisher's site. Age counts from the original posting date, even after a repost.

Description

Somos un grupo internacional de consultoría digital ágil. En la era de la post transformación digital, nos esforzamos por permitir que cada uno de nuestros 27 000 profesionales se renueve continuamente viviendo de manera positiva su propio flow digital.

Cada uno de ellos puede moldear su trayectoria profesional de acuerdo con sus preferencias, emprender de forma práctica para construir junto a sus clientes un mundo más positivo, innovar localmente en 26 países y armonizar su carrera profesional con su bienestar personal.

  • Document business requirements for reports and dashboards targeted for migration to Power BI
  • Develop Snowflake queries and data extracts to support Power BI development
  • Define and document unit test scenarios to validate migrated Power BI and paginated reports
  • Provide ad-hoc analysis and insights to support wireframe design
  • Report Rationalization – Identify reports that can be deprecated, consolidated, or streamlined for efficiency
  • Power BI Environment Optimization – Provide recommendations to enhance performance, scalability, and governance
  • Change Management & Training – Develop a change management plan and deliver training to support long-term adoption and success
  • Pilot Report Migration – Execute a pilot migration of selected reports to Power BI to validate approach and gather feedback
  • Semantic Data Model Recommendation – Propose a scalable and reusable semantic data model to support enterprise reporting needs

Tech stack detected

At a glance

Published on September 17, 2025 · first seen on September 6, 2026

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