Description review

BI Developer/Analyst

LUZA Group · Portugal · back to the listing

HR standards

61/100

needs work

Title ↔ description

79/100

solid

Reads as

Data Analyst

99% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • 21 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Luza is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

•
Develop and maintain Power BI dashboards and reports, ensuring usability, accuracy, and performance.

•
Build and optimize data models and DAX measures according to business requirements.

•
Develop SQL queries and support data extraction, transformation, and validation.

•
Contribute to Data Warehousing and ETL/ELT processes, ensuring data quality and consistency.

• Translate business requirements into KPIs, metrics, and actionable insights.

•
Collaborate with technical and non-technical stakeholders to deliver effective BI solutions.

•
Optimize BI solutions and reporting performance, identifying opportunities for improvement.

•
Document data models, KPIs, and BI solutions following established standards.

Who You Are:

• Degree in Computer Engineering, Information Systems, Data Analytics, or equivalent.

• 3+ years of experience in Business Intelligence, Data Analysis, or similar.

• Strong experience with Power BI, DAX, SQL, and data modelling.

• Knowledge of Data Warehousing and ETL/ELT concepts.

• Strong analytical and problem-solving skills, with a business-oriented mindset.

• Good communication skills and ability to work with technical and non-technical stakeholders.

• Experience with Cloud data platforms and Power BI certification is a plus.

• Advanced English and Spanish is a plus.

What you'll get:

• Wage according to candidate's professional experience;

- Remote Work whenever possible;

• Delivery of work equipment adjusted to the performance of functions;

- Benefits plan;

- And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniquess!

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 69 before penalties). Reviewed 21 Sep 2026.