Associate Staff Engineer - Data Analyst

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Guadalajara, Jalisco, MEX
Remote or Hybrid
Junior
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Build and maintain Tableau and Power BI dashboards, analyze manufacturing, operational, and financial data, and write SQL in Snowflake. Collaborate on dbt data models, validate reporting accuracy, document metrics, and train business users on self-service analytics. The role requires strong BI visualization skills, foundational data modeling knowledge, and basic Python for data wrangling and automation.
Summary Generated by Built In
Company Description

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 (15000+ 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:
    • 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), Snowflake, Tableau (Strong)

Good to have skills: DBT, Python (Capable)

Skills Required

  • 2+ years of experience in a data analyst, BI analyst, or reporting analyst role
  • Portfolio of dashboards and reports delivered to business stakeholders
  • Strong proficiency in Tableau and/or Power BI, including calculated fields, LOD expressions, DAX measures, parameters, dynamic filters, row-level security, and performance optimization
  • Working knowledge of SQL for querying Snowflake, including JOINs, CTEs, window functions, aggregations, and basic data transformation
  • Foundational understanding of dbt, including reading and modifying models, understanding staging and mart layers, and running dbt commands
  • Familiarity with data modeling concepts, including star schemas and fact/dimension tables
  • Basic Python skills for data wrangling, automation, or analytics workflows
  • Strong Power BI skills
  • Strong Tableau skills
  • Snowflake experience
  • dbt experience
  • Capable Python skills

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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