149 Ofertas de Data Analyst en Argentina

Data Analyst/IAM Responsibilities: Collaborate with cross-functional teams to gather requirements and understand business needs related to IAM.
Develop and implement metrics and reporting functionalities to track IAM performance and effectiveness.
Assist in the migration process to Okta Directory from various platforms such as SambaAD, OpenLDAP, and FreeIPA.
Analyze system logs to identify usage patterns, anomalies, and areas for improvement.
Provide recommendations based on data analysis to enhance IAM processes and security measures.
Communicate findings and insights effectively to stakeholders, including technical and non-technical audiences.
Stay updated on industry trends and best practices related to IAM and data analysis. Requirements: Proven experience working with LDAP directory (experience with other directory types is acceptable).
Prior experience with migrations to Okta Directory from various platforms (SambaAD, OpenLDAP, FreeIPA).
Strong analytical skills with the ability to analyze system logs and interpret data.
Proficiency in English, both written and verbal.
Excellent communication and interpersonal skills.
Ability to work independently and collaboratively in a fast-paced environment. Nice to Have: Previous experience in system administration roles.
Relevant certifications in IAM or data analysis. Join our team and contribute to the enhancement of our IAM capabilities while advancing your career in data analysis and security. Apply now to be a part of our dynamic and innovative organization. #J-18808-Ljbffr

TerraVox is looking for a talented Data Analyst to process and analyze large datasets related to geological exploration. The role requires expertise in statistical analysis, data visualization, and proficiency in ML and AI techniques.

• Analyze large datasets to identify trends and patterns.
• Develop data visualization dashboards to communicate insights effectively.
• Use statistical methods to improve data quality and integrity.
• Collaborate with ML engineers and geologists to integrate data findings into models.
• Continuously monitor and optimize data processing workflows.

• Bachelor’s or Master’s degree in Mathematics, Statistics, Geology, Geophysics, or a related field.
• Proficiency in data analysis tools such as SQL, Python, or R.
• Experience with data visualization tools like Tableau or Power BI.
• Knowledge of machine learning and AI techniques.
• Strong attention to detail and analytical skills.

JOB TITLE: Data Analyst -Tidal Grow AgriScience

REPORTS TO: Tidal Grow AgriScience Chief Product Officer

STATUS: Full time, exempt (1)

LOCATION: Argentina, Brazil, Puerto Rico, or India

SALARY RANGE: based on location & overall experience

About Tidal Vision:

We believe that sustainability should not require customers to compromise on price, convenience, or performance. Our mission is to create positive and systemic environmental impact by making our biopolymer solutions cost competitive, more convenient, and better performing than the synthetic chemicals we displace. We value innovation and take pride in challenging the status-quo; we choose to view obstacles as opportunities. We value new ideas and encourage the team to apply creativity and invent new solutions to meet challenging demands. We foster open, direct communication, and a collaborative working environment through our unique approach to work culture . We value our employees and demonstrate that through our compensation and benefits programs and opportunities for growth and development.

About Tidal Vision’s Unique Work Culture:

Tidal Vision strives to build and invest in the highest performing and most innovative team. We put our people and customers above process, avoid company-wide rules as much as possible, and have the courage to take unusual approaches to advance our mission. With this approach, we believe we can create a more flexible, fun, stimulating, creative, collaborative, and innovative organization.

Our commitment to developing, practicing and promoting direct and open communication, responsibility and freedom, and leading with and seeking context is a responsibility for every role at Tidal Vision.

JOB SUMMARY :

This position supports the Tidal Grow AgriScience division of Tidal Vision Products. Partnerships between the R&D and the Ag Commercial teams is critical to this role's success. The ideal candidate will have experience working with Randomized Complete Block Design (RCBD) trials, grower trials, and spatial analytics, combined with proficiency in data cleaning, modeling, and the use of advanced analytical tools like PowerBI and SQL. This role offers an opportunity to work in a dynamic, data-driven environment, where you will contribute to the optimization of

agricultural processes to bring novel, environmentally friendly solutions to help solve agriculture’s greatest challenges.

ESSENTIAL JOB FUNCTIONS :

• Data collection and management
  • Collect, clean and preprocess complex agronomic data from small plot trials, grower trails, and other field experiments.
  • Ensure data integrity and consistency across different databases.
• Trail Design & Analysis:
  • Analyze RCBD small plot trails and grower trails to evaluate various agronomic factors and crop performance.
  • Provide insight on trial design and optimize efficiency and accuracy of experiments.
• Spatial Analytics:
  • Conduct spatial analysis to assess field variability and identify patterns that affect crop performance, yield predictions, and resource management.
• Data Modeling and Statistical Analysis:
  • Utilize statistical models, including Principal Component Analysis (PCA), regression models, and other advanced techniques to interpret trial data and generate actionable insights. Build predictive models to forecast outcomes and identify key variables impacting trial results.
• Data Visualization and Reporting:
  • Develop interactive dashboards and visualizations using PowerBI to communicate complex agronomic findings to stakeholders. Prepare detailed reports summarizing statistical analysis, trends, and recommendations.
• Collaboration and Support:
  • Work closely with Product, R&D, and Agronomy teams to ensure accurate data collection and interpretation. Support cross-functional teams with data-driven insights to inform decision-making processes. Operationalize best practices to support scalability across the organization.
• Database Management:
  • Develop and maintain SQL-based databases to store, query, and manage large agronomic datasets. Ensure efficient data storage and retrieval methods for scalability.

BASIC QUALIFICATIONS :

• Bachelors or Masters degree in Agronomy, Agricultural Science, Data Science, Statistics, or related field.
• 3+ years experience with RCBD trial designs and analysis, specifically in the context of agricultural research or grower trials.
• 3+ years xperience with spatial analytics and mapping tools for field data interpretation.
• Proficiency in Principal Component Analysis (PCA) and other statistical modeling techniques for multivariate data analysis.
• Hands-on experience cleaning and structuring large datasets, building data models, and generating insights from raw data.
• Strong background in PowerBI for creating dashboards and visualizing data trends.
• Proficiency in SQL for data querying, manipulation, and database management.
• Knowledge of agronomy practices, crop production, and grower trial methodologies.
• Must speak fluent English.
• Must be willing to travel 15%.

PREFERRED QUALIFICATIONS:

• Experience with statistical software such as R, Python, or SAS.

Licensing & Special Requirements

• Incumbent is subject to a criminal background check

WORKING CONDITIONS & PHYSICAL REQUIREMENTS

Most of the work is performed in an office environment and outdoors in inclement weather. Candidates must be able to stand and/or walk for long periods of time.

Tidal Vision provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.

Key Responsibilities:

Data Collection and Management:

Collect, clean, and preprocess complex agronomic data from small plot trials,

grower trials, and other field experiments. Ensure data integrity and consistency

across different datasets.

Trial Design and Analysis:

Analyze RCBD small plot trials and grower trials to evaluate various agronomic

factors and crop performance. Provide insights on trial design to optimize the

efficiency and accuracy of experiments.

Spatial Analytics:

Conduct spatial analysis to assess field variability and identify patterns that affect

crop performance, yield predictions, and resource management.

Data Modeling and Statistical Analysis:

Utilize statistical models, including Principal Component Analysis (PCA),

regression models, and other advanced techniques to interpret trial data and

generate actionable insights. Build predictive models to forecast outcomes and

identify key variables impacting trial results.

Data Visualization and Reporting:

Develop interactive dashboards and visualizations using PowerBI to

communicate complex agronomic findings to stakeholders. Prepare detailed

reports summarizing statistical analysis, trends, and recommendations.

Collaboration and Support:

Work closely with Product, R&D, and Agronomy teams to ensure accurate data

collection and interpretation. Support cross-functional teams with data-driven

insights to inform decision-making processes. Operationalize best practices to

support scalability across the organization.

Database Management:

Develop and maintain SQL-based databases to store, query, and manage large

agronomic datasets. Ensure efficient data storage and retrieval methods for

scalability.

Qualifications:

Education:

Bachelor's or Master's degree in Agronomy, Agricultural Science, Data Science,

Statistics, or a related field.

Experience:

Proven experience with RCBD trial designs and analysis, specifically in the

context of agricultural research or grower trials.

Experience with spatial analytics and mapping tools for field data interpretation.

Proficiency in Principal Component Analysis (PCA) and other statistical modeling

techniques for multivariate data analysis.

Hands-on experience cleaning and structuring large datasets, building data

models, and generating insights from raw data.

Strong background in PowerBI for creating dashboards and visualizing data

trends.

Proficiency in SQL for data querying, manipulation, and database management.

Skills & Abilities:

Strong analytical skills with the ability to interpret complex datasets and translate

findings into actionable recommendations.

Knowledge of agronomy practices, crop production, and grower trial

methodologies.

Experience with statistical software such as R, Python, or SAS is a plus.

Strong communication skills, with the ability to present technical findings to non-

technical stakeholders.

Self-motivated, proactive, and able to work independently as well as part of a

team.

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.

Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.

We are looking for a detail-oriented and analytical Data Analyst to join our team. In this role, you will play a critical part in transforming raw data into actionable insights that drive decision-making and business strategy. You will work closely with cross-functional teams to analyze data, identify trends, and provide recommendations that support organizational goals.

• Collect, clean, and organize large datasets from various sources to ensure data accuracy and integrity.
• Analyze data to identify trends, patterns, and insights that inform business decisions.
• Design, Develop and maintain dashboards, reports, and visualizations to communicate findings effectively to stakeholders.
• Collaborate with teams across the organization to understand data needs and provide analytical support.
• Monitor key performance indicators (KPIs) and provide regular updates to leadership.
• Identify opportunities for process improvements and recommend data-driven solutions.
• Ensure compliance with data governance and security standards.

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Proficiency in data analysis tools such as Excel, SQL, and Python (or R).
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, with the ability to present complex data insights in a clear and concise manner.
• Proficient in Data Integration/Ingestion, Data Transformations and Data Modeling for Analytical end-products
• Knowledge of how Databricks is utilized for Data Processing and building resilient Data Pipelines
• Familiarity with database management systems and data warehousing concepts.

• Experience working with big data technologies (e.g., Hadoop, Spark) is a plus.

Novo Space is a vibrant startup developing high-performance, radiation-tolerant computers to support the growing need for autonomous systems, machine learning in space and other data-intensive processing technologies. The products we build together will be at the heart of future weather forecasting, geolocation, earth observation, and communication satellites, and will help humankind improve life on this planet and conquer other planets in our solar system.

Data Analyst

About the position: We are seeking a talented Data Analyst to support our growing operations and product development efforts through data-driven insights. The ideal candidate will leverage Power BI and Python to transform complex data into actionable intelligence that drives our mission forward.

Location: On-site. Buenos Aires, Argentina.

Key responsibilities:

• Create and maintain Power BI dashboards that provide meaningful insights into business operations and product performance
• Develop Python scripts to automate data processing, cleansing, and analysis workflows
• Extract, analyze, and interpret large datasets to identify patterns and trends
• Support engineering and business teams with data analysis for decision-making
• Implement data quality standards and processes to ensure integrity of analysis
• Document methodologies, processes, and results for knowledge sharing
• Collaborate with cross-functional teams to understand requirements and deliver solutions

REQUIRED education, work experience, knowledge/skills:

• Experience in data analysis, business intelligence, or similar role
• Bachelor's degree in a relevant field or equivalent practical experience
• Strong proficiency with Power BI, including DAX, Power Query, and data modeling
• Python programming experience, with emphasis on data analysis libraries (Pandas, NumPy, Matplotlib, Seaborn)
• Experience with SQL and relational databases
• Proven ability to translate complex data into clear, actionable insights
• Excellent communication skills, with the ability to present technical findings to non-technical audiences
• Strong analytical thinking and problem-solving abilities
• Attention to detail

REQUIRED minimum English level: Intermediate

DESIRABLE education, work experience, knowledge/skills:

• Experience with additional BI tools (Tableau, Looker, etc.)
• Knowledge of statistical analysis and methods
• Experience with version control systems

What we offer:

Permanent position

Flexible working hours

OSDE

Equity compensation

Paid week off between Christmas and New Year

Gympass/Wellhub

Join our team of highly motivated, friendly people who are working on a one-of-a-kind project!

About the role

As a Data Analyst & Automation Engineer, you will play a crucial part in extracting meaningful insights from data, automating repetitive tasks, and streamlining our workflows.

• Write complex SQL queries to extract, transform, and load data from various sources (databases, APIs, etc.).
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Create visualizations and reports to communicate data insights effectively.
• Debug and maintain Python scripts for data processing, analysis, and automation tasks.
• Write regular expressions (Regex) for data cleaning, validation, and extraction.

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Argentina. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. (Subject to change to a hybrid model with a client-based location)

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

1. Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
2. Experience: 2+ years of experience in data analysis, data engineering, or a related field.
3. Strong proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn).
4. Strong Python debugging skills.
5. Advanced SQL skills (including writing complex queries, joins, subqueries, window functions).
6. Proficiency in regular expressions (Regex).

• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Good English level B2 or Above

• A career in one of the largest and fastest growing IT services providers worldwide.
• Ongoing support and funding with training and development plans.
• Opportunity to work for leading global companies.
• Our work environment is diverse, collaborative and inclusive. We create conditions for everyone to thrive.
• A highly competitive salary and great benefits, such as OSDE for you and your primary family group, annual bonus and many other benefits that we are going to share during the selection process.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Company Description

We are the company that cares – for our staff, for our clients, for our partners and for the quality of the work we do. A dynamic, global company founded in 1995, we bring together more than 2,800 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.

Only English CVs will be considered

We are looking for a talented and detail-oriented Hybrid Database / Power BI Developer to join our Process Improvement team. This role combines expertise in database development and business intelligence, focusing on creating scalable, high-performance data solutions and delivering actionable insights through advanced Power BI reporting.

Database Development

• Design, develop, and maintain SQL-based relational databases and data models
• Write and optimize stored procedures, views, functions, and complex queries
• Build and manage ETL processes to ingest and transform data from various sources
• Monitor database performance, ensure data integrity, and implement security best practices
• Work closely with backend developers and data architects to support efficient data architecture

Power BI Development

• Develop and maintain scalable Power BI dashboards and reports
• Use Power Query (M) and DAX to transform data into insightful visualizations
• Create calculated columns, measures, and KPIs using advanced DAX techniques
• Build semantic data models with proper relationships, hierarchies, and normalization techniques
• Ensure dashboards are optimized for usability, performance, and scalability

• Minimum 3 years of experience in a database development role (e.g., SQL Server, PostgreSQL, Oracle)
• At least 2 years of hands-on experience building Power BI dashboards and data models
• Proficient in SQL and strong understanding of data modeling principles (e.g., normalization, star schema)
• Advanced knowledge of DAX and Power Query (M)
• Experience with ETL tools or processes such as SSIS, Azure Data Factory, or custom-built pipelines
• Exposure to data governance and BI development best practices

• Experience with cloud-based data platforms (e.g., Azure SQL, AWS RDS, Snowflake)
• Familiarity with Agile or Scrum methodologies

• Strong analytical and problem-solving capabilities
• Excellent communication skills, both verbal and written
• Ability to work independently and collaboratively within cross-functional teams
• Confident in gathering and translating requirements from technical and business stakeholders
• Highly detail-oriented with a commitment to data accuracy and reliability

Advance your career in clinical research, coordinating a variety of tasks and learning new things while growing with the company.

Job Description

Only CVs in English will be considered

We are looking for a talented and detail-oriented Hybrid Database / Power BI Developer to join our Process Improvement team. This role combines expertise in database development and business intelligence, focusing on creating scalable, high-performance data solutions and delivering actionable insights through advanced Power BI reporting.

• Database Development
  • Design, develop, and maintain SQL-based relational databases and data models
  • Write and optimize stored procedures, views, functions, and complex queries
  • Build and manage ETL processes to ingest and transform data from various sources
  • Monitor database performance, ensure data integrity, and implement security best practices
  • Work closely with backend developers and data architects to support efficient data architecture
• Power BI Development
  • Develop and maintain scalable Power BI dashboards and reports
  • Use Power Query (M) and DAX to transform data into insightful visualizations
  • Create calculated columns, measures, and KPIs using advanced DAX techniques
  • Build semantic data models with proper relationships, hierarchies, and normalization techniques
  • Ensure dashboards are optimized for usability, performance, and scalability

• Required Skills & Experience:
  • Minimum 3 years of experience in a database development role (e.g., SQL Server, PostgreSQL, Oracle)
  • At least 2 years of hands-on experience building Power BI dashboards and data models
  • Proficient in SQL and strong understanding of data modeling principles (e.g., normalization, star schema)
  • Advanced knowledge of DAX and Power Query (M)
  • Experience with ETL tools or processes such as SSIS, Azure Data Factory, or custom-built pipelines
  • Exposure to data governance and BI development best practices
• Preferred Qualifications:
  • Experience with cloud-based data platforms (e.g., Azure SQL, AWS RDS, Snowflake)
  • Familiarity with Agile or Scrum methodologies
• Soft Skills:
  • Strong analytical and problem-solving capabilities
  • Excellent communication skills, both verbal and written
  • Ability to work independently and collaboratively within cross-functional teams
  • Confident in gathering and translating requirements from technical and business stakeholders
  • Highly detail-oriented with a commitment to data accuracy and reliability

Advance your career in clinical research, coordinating a variety of tasks and learning new things while growing with the company.

About the role

As a Data Analyst & Automation Engineer, you will play a crucial part in extracting meaningful insights from data, automating repetitive tasks, and streamlining our workflows.

• Write complex SQL queries to extract, transform, and load data from various sources (databases, APIs, etc.).
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Create visualizations and reports to communicate data insights effectively.
• Debug and maintain Python scripts for data processing, analysis, and automation tasks.
• Write regular expressions (Regex) for data cleaning, validation, and extraction.

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Argentina. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. (Subject to change to a hybrid model with a client-based location)

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

1. Education: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
2. Experience: 2+ years of experience in data analysis, data engineering, or a related field.
3. Strong proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn).
4. Strong Python debugging skills.
5. Advanced SQL skills (including writing complex queries, joins, subqueries, window functions).
6. Proficiency in regular expressions (Regex).

• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Good English level B2 or Above

• A career in one of the largest and fastest growing IT services providers worldwide.
• Ongoing support and funding with training and development plans.
• Opportunity to work for leading global companies.
• Our work environment is diverse, collaborative and inclusive. We create conditions for everyone to thrive.
• A highly competitive salary and great benefits, such as OSDE for you and your primary family group, annual bonus and many other benefits that we are going to share during the selection process.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.