About Us



In our data analysis services, we understand the importance of data security and consider it our top priority. To ensure the security and privacy of our clients' data, we have implemented several measures, including compliance with SOC 2 standards.

SOC 2 (Service Organization Control 2) is a set of auditing standards developed by the American Institute of Certified Public Accountants (AICPA) to assess the security, availability, processing integrity, confidentiality and privacy of service providers. It is a rigorous auditing standard that ensures the highest level of security and compliance.

Our compliance with SOC 2 demonstrates our commitment to providing secure and reliable data analytics services. We have implemented industry-standard security protocols, such as access control, encryption, monitoring and incident response, to safeguard our clients' data. We are regularly audited by external auditors to ensure that our services are SOC 2 compliant and always up to date with the latest security protocols.

Our SOC 2 compliance ensures that our customers can trust us with their sensitive data, knowing that their information is safe and secure at all times. We take the security of our customers' data very seriously. With our SOC 2 compliance, our customers can rest assured that their data is in safe hands and can focus on leveraging the insights from our data analytics services to drive their business forward.

Data Analysts

100% Data Analysts


We hire the top 10% Data Analysts

DataGurus can provide all the roles needed to complete the team you need, this is typically composed of a Project Manager and other roles that are defined for each specific project.

All our team members are fully bilingual and have 3+ years of experience in their fields. Our rigorous selection process ensures that we only work with Top 10% Tech Talent.

Using Agile methodologies, the team relies heavily on feedback to train your DataGuru to meet your company’s standard



Data Analyst

-Build dashboards and analytics for business.

-Support in data collection and processing.

-Responsible for converting business requirements into technological tools.


Data Engineers

-Responsible for architecture of solutions.

-Consolidates information for analysis.

-Development of ETL processes and cloud administration.


Data Scientist

-Expert in structured and unstructured data mining.

-Machine learning processes.

-Creates predictive models and advanced analytics for businesses.

-Manages Python and R as programming languages.