Senior ai insights analyst cdmx (hybrid 2 days at office 3 days at home) – mexicofull-time | english required (advanced/professional fluency)
wizeline, a global ai-native technology solutions provider, develops cutting-edge, ai-powered digital products and platforms.
we partner with clients to leverage data and ai, accelerating market entry and driving business transformation.
as a global community of innovators, we foster a culture of growth, collaboration, and impact.are you passionate about data, analytics, and artificial intelligence?
do you enjoy translating complex technical concepts into business strategies that drive measurable outcomes?
we are looking for an ai & machine learning insights analyst to serve as the strategic bridge between data science, machine learning, ai teams, and business stakeholders.
in this role, you won't be responsible for building ml models, but you will be expected to deeply understand how they work, how they are evaluated, and how their outputs can be transformed into actionable business recommendations.this is an exciting opportunity for a highly analytical professional who combines strong technical skills with exceptional storytelling, stakeholder management, and business acumen.ai & machine learning translation for businesstranslate machine learning and ai model outputs into clear, actionable business recommendations.interpret predictive, classification, and nlp model results and communicate their business implications to executive and non-technical audiences.partner with data scientists and ml engineers during model review sessions to validate business relevance and impact.create executive-level presentations, reports, and dashboards that connect technical findings to business outcomes.data analysis & insights generationdevelop advanced sql queries and python-based analyses to extract, transform, and analyze data from multiple sources.perform exploratory data analysis (eda) to identify trends, opportunities, risks, and potential ai use cases.utilize databricks for data exploration, kpi validation, ad hoc analysis, and business intelligence initiatives.investigate data lineage, governance structures, and metric definitions to ensure consistency and trustworthiness of insights.design, build, and maintain strategic dashboards that track business kpis and machine learning model performance in production.ai strategy & business consultingact as a trusted advisor to business teams seeking to leverage ai and machine learning capabilities.evaluate ai/ml opportunities, helping stakeholders prioritize initiatives based on business impact and feasibility.collaborate with business leaders and technical teams to define success metrics and kpis for ai-driven initiatives.data governance & analytical excellenceensure data integrity, consistency, traceability, and governance across reporting and analytics solutions.bachelor's degree in data science, computer science, statistics, mathematics, economics, engineering, business analytics, or a related field.
~6+ years of experience as a data analyst, business intelligence analyst, analytics consultant, ai analyst, or similar role.
~ advanced/professional english proficiency (written, verbal, and presentation skills).
expert-level sql skills, including:performance tuningadvanced python proficiency, including:pandasnum pydata visualization librariesbasic understanding of scikit-learn workflowshands-on experience with databricks, databricks sql, and notebooks for analytical workflows.expert experience building dashboards and reporting solutions using power bi, tableau, looker, or similar bi platforms.strong understanding of data governance, data lineage, and kpi management.machine learning & ai understandingadvanced knowledge of machine learning concepts and model evaluation methodologies.experience working closely with data science, analytics, or ai teams.business & communication skillsexceptional storytelling and data communication skills.ability to create executive-level presentations that simplify technical concepts.ability to translate business problems into analytical frameworks and data-driven recommendations.experience influencing decision-making through insights and strategic analysis.
experience working in ai-first or data-driven organizations.familiarity with mlops concepts and model monitoring frameworks.understanding of cloud-based analytics environments (azure, aws, or gcp).
experience supporting executive leadership teams with strategic reporting and business intelligence initiatives.leverage one or more ai tools to optimize and augment day-to-day work, including drafting, analysis, research, process automation, or insight generation.provide recommendations on effective ai usage and identify opportunities to streamline business and analytical workflows.
commitment to professional developmentglobal opportunities