Hr Ai And Automation Operations Lead - Benefits

Remote; Ciudad de Mendoza; Remote; ARS 61,989,000 - 108,480,000; Full time

Benefits offered by this job

Remote-friendly environment

Career development and training

Global HR/process improvements

Job summary

Veralto seeks a Machine Learning Analyst for a 100% remote LATAM role. You will work with SQL, Python, and ML models to translate data into actionable insights for marketing effectiveness. Open to recent graduates through mid-level analysts, with strong English and a quantitative mindset.

Join a global team to extract metrics, build dashboards, and communicate findings clearly to stakeholders. The role emphasizes data quality, scalable data pipelines, and collaboration across cross-functional

Qualifications

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles. Entry-level candidates with strong coursework or internships are welcome.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.
• Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.
• Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical models.
• Experience working with messy text fields: cleaning, parsing, filtering, and pattern matching within string variables.
• Solid understanding of relational database design, including how tables connect, primary/foreign keys, and data normalization.
• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical matching models to uncover consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw transactional or panel data to calculate core metrics like household penetration and market share.
• Build and maintain clean, structured data tables and views for recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and double-check logic for data integrity before insights.
• Use conditional logic to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical data structures and query results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python (pandas)

Data analysis

English communication

ML concepts

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

BigQuery

Job description

Machine Learning Analyst | 100% Remoto | LATAM

What do we offer?

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.

We have partnered with a U.S.-based company specialized in marketing effectiveness measurement. They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.

We are looking for a Data Analyst (Machine Learning) to join our client's global team.

This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.

The ideal candidate combines solid SQL and Python skills, a strong \"numbers sense\", attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English. The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.

About Us

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.

We have partnered with a U.S.-based company specialized in marketing effectiveness measurement. They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.

We are looking for a Data Analyst (Machine Learning) to join our client's global team.

This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.

The ideal candidate combines solid SQL and Python skills, a strong \"numbers sense\", attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English. The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.

What You Will Do

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.


• Develop, run, and validate machine learning, predictive, or statistical matching models to uncover deeper consumer behaviors and forecast trends.


• Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics such as household penetration, market share, and purchasing trends.


• Build and maintain clean, structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.


• Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity before insights are finalized.


• Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.


• Clean, parse, and categorize unstructured or semi-structured text data.


• Translate technical data structures and query results into clear written summaries, bullet points, or data tables for stakeholders in English-speaking environments.

Requirements

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles. Entry-level candidates with strong relevant coursework, personal data projects, or internships are welcome, as well as mid-level professionals with a proven track record of querying databases to drive business insights.


• Advanced English level (written and spoken).


• Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.


• Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.


• Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.


• Experience working with messy text fields: cleaning, parsing, filtering, and pattern matching within string variables.


• Solid understanding of relational database design, including how tables connect, primary/foreign keys, and data normalization.


• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.

Nice to Have

• Experience working with consumer, retail, panel, or transactional datasets.


• Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).


• Exposure to marketing analytics, consumer insights, or market measurement environments.


• Experience building data tables or views that feed dashboards and recurring reports.

Why Join Us?

10 days of PTO to recharge wherever you choose.
Enjoy USA Holidays.
100% remote work—design the work-life balance that fits you best.
Work with real consumer and market data that influences strategic business decisions.
Collaborate with international teams and stakeholders.
Develop your expertise in SQL, Python, and machine learning while working on impactful projects.

**Imagine yourself.**
+ Doing meaningfulwork thatmakes an everyday impact on the world around you.
+ Growing yourexpertiseand expanding your skillset with every project.
+ Collaborating with a vibrant, inclusive, global team.
At Veralto, our unifying purpose of Safeguarding the World's Most Vital Resources is more than words: it's a proven path towards positive change, improvement for our planet, and development for yourself.
Whether we're ensuring the continued availability of clean drinking water, protecting our waterways, or enhancing the traceability, color accuracy, and packaging of everyday essentials, the work we do every day contributes to a safer world and a more sustainable future.
When you join Veralto's vibrant global network of 14 operating companies and 17,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you'll have boundless opportunities to deepen your skillset, pursue your ambitions, and grow your career.

We offer

• A remote-friendly work environment based in Mexico, with the opportunity to partner across global HR teams.


• Ongoing investment in your career through dedicated training, on-the-job development, and coaching.


• The opportunity to shape global HR processes that improve associate, leader, and HR team experiences.


• Total rewards that support your success at work and beyond, including health benefits, paid time off, and annual bonus eligibility aligned to local policy.

About the role

Reporting to the Director, Process & Policy Excellence, the HR Process Owner is responsible for leading the end-to-end lifecycle of global HR functional processes, including Standard Work documentation, implementation, adoption, measurement, controls, and continuous improvement. This role partners closely with Centers of Excellence