Associate Staff Engineer - Data Analyst
Guadalajara, Mexico
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and maintain interactive Tableau or Power BI dashboards and reports
Analyze manufacturing, operational and financial data for trends and anomalies
Write Snowflake SQL to extract, transform and validate reporting data
Contribute to dbt staging and mart models that feed dashboards
Document data definitions, metric calculations and dashboard usage guides
From the employer’s posting
Design, develop, and maintain interactive dashboards and reports in Tableau and/or Power BI
Analyze manufacturing, operational, and financial data to identify trends, anomalies, and opportunities.
Write SQL queries in Snowflake to extract, transform, and validate data for reporting.
contribute to dbt model development — building or modifying staging and mart models that feed dashboards and reports
Document data definitions, metric calculations, and dashboard usage guides.
What you’ll bring
All qualificationsCore experience
- 2+ years in a data, BI or reporting analyst role
- Strong Tableau and/or Power BI skills, including DAX or LOD expressions
- Working knowledge of SQL on Snowflake, including JOINs, CTEs and window functions
- Foundational understanding of dbt and star schema data modeling
Qualification wording
2+ years of experience in a data analyst, BI analyst, or reporting analyst role
Strong proficiency in Tableau and/or Power BI: calculated fields, LOD expressions (Tableau), DAX measures (Power BI)
Working knowledge of SQL for querying Snowflake: JOINs, CTEs, window functions, aggregations
Foundational understanding of dbt: ability to read and modify existing models
Tools in this posting
- Python
- SQL
- dbt
- Power BI
- Snowflake
- Tableau
- pandas
Source — Tool mentions in context
- 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) Company Description
- 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.
- 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.
- 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.
- 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.
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.
- 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.
Qualifications Must have skills: Power BI (Strong), Snowflake, Tableau (Strong) Good to have skills: DBT, Python (Capable)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 2026 · 24 days ago
- Recorded sightings
- 94
- Last seen by us
- Oct 30, 2026
- Reposted
- once since Sep 22, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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)
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!
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Guadalajara, Mexico
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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