We are a Digital Product Engineering company that is scaling in a big way!
We build products, services, and experiences that inspire, excite, and delight.
We work at scale — across all devices and digital mediums, and our people exist everywhere in the world ******+ experts across 26 countries, to be exact).
Our work culture is dynamic and non-hierarchical.
We are looking for great new colleagues.
That is where you come in!
Job Description Role and Responsibility: Build Dashboards & Reports: Design, develop, and maintain interactive dashboards and reports in Tableau and/or Power BI that deliver actionable insights to business stakeholders.
Own the full lifecycle from requirements gathering to published, production-grade visualizations.
Data Analysis & Storytelling: Analyze manufacturing, operational, and financial data to identify trends, anomalies, and opportunities.
Translate findings into clear, compelling visual narratives that drive decision‐making across teams.
SQL & Data Exploration: Write SQL queries in Snowflake to extract, transform, and validate data for reporting.
Perform ad‐hoc analyses to answer business questions and support strategic initiatives.
Support Data Modeling: Collaborate with data engineers to define reporting requirements and contribute to dbt model development — building or modifying staging and mart models that feed dashboards and reports.
Analytical Mindset: Strong attention to detail with the ability to spot data inconsistencies,



ask the right questions, and deliver accurate, trustworthy reporting.
Documentation & Training: Document data definitions, metric calculations, and dashboard usage guides.
Provide training and support to business users to promote self‐service analytics adoption.
Expectation from the Candidate: Experience: 2+ years of experience in a data analyst, BI analyst, or reporting analyst role with a portfolio of dashboards and reports delivered to business stakeholders.
Technical Prowess: o Strong proficiency in Tableau and/or Power BI: calculated fields, LOD expressions (Tableau), DAX measures (Power BI), parameters, dynamic filters, row‐level security, and performance optimization.
Working knowledge of SQL for querying Snowflake: JOINs, CTEs, window functions, aggregations, and basic data transformation.
Foundational understanding of dbt: ability to read and modify existing models, understand the staging/mart layer structure, and run dbt commands for testing and documentation.
Familiarity with data modeling concepts: star schemas, fact/dimension tables, and how they translate into efficient dashboard data sources.
Basic Python skills for data wrangling, automation, or extending analytics workflows (pandas, notebooks).
Qualifications Must have skills: Power BI (Strong), Tableau (Strong)
Good to have skills: Data Modeling (Capable), Python (Capable), SQL (Capable) #J-*****-Ljbffr

📌 Engineer - Data Analyst (Jalisco)
🏢 Nagarro
📍 Jalisco