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Why this grade This listing scored 51/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$93k – $130k
That is the middle half of what comparable roles paid on this board over the last 90 days — 21 listings that did publish a figure, median $107k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Data Science Senior Full Time
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
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 19 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.