Consultant, Analytic Engineering

ABOUT HAKKODA 
Hakkoda, an IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being  an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!.
About Hakkōda
Hakkōda is a modern data consultancy that empowers data-driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!
ROLE DESCRIPTION:
We are seeking a skilled and motivated professional with hands-on experience in building data warehouses and analytics systems in cloud environments such as AWS, Azure, or GCP. As part of our team, you will play a critical role in designing, developing, and optimizing scalable data infrastructure that supports advanced analytics and business intelligence solutions for our clients.In this role, you will collaborate with cross-functional teams—including data engineers, analytic engineers, and business stakeholders—to understand data requirements and translate them into effective cloud-based data architecture. You’ll be responsible for implementing best practices in data modeling, data integration, pipeline development, and performance optimization. Your work will directly impact how clients access, interpret, and act on their data.We’re looking for someone who is not only technically strong in cloud data platforms, but who also brings a problem-solving mindset, a passion for data, and a commitment to delivering high-quality, maintainable solutions.
WHAT WE ARE LOOKING FOR: 
We’re looking for a curious, detail-oriented, and collaborative Analytic Engineer who is passionate about transforming data into actionable insights. In this role, you will play a key part in helping our clients uncover trends, solve business problems, and make informed decisions by delivering clear, impactful analyses and visualizations.The ideal candidate thrives at the intersection of data engineering and analytics—someone who not only understands how to structure and analyze complex datasets, but who also knows how to communicate those insights in a clear and compelling way. You should feel comfortable working across teams, supporting the development and maintenance of tools and proprietary databases, and contributing to scalable, efficient data workflows.

Requirements

• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Economics, Engineering or other related field with strong quantitative focus.
• 3+yrs in related technical roles with experience in data management, database development, BI, ETL, and/or data analysis domain.
• Good understanding of data prep, Dashboards, analytics and visualization tools like R, Python, Power BI and Tableau.
• SQL scripting experience, Python and cloud infrastructure is a plus.
• Understanding data modeling, data warehousing, data lakes and big data concepts.
• Knowledge of any of the following tools is also a plus: Snowflake, Sigma, Looker, DBT, Matillion.
• Ability to prepare reports and present to internal and external stakeholders.
• Strong interpersonal skills including assertiveness and ability to build strong client relationships.
• Strong project management and organizational skills.
• Ability to support and work with cross-functional and agile teams in a dynamic environment.
• Advanced English required.
• Consulting experience

Our Benefits:
- Comprehensive Life Insurance: Including dental and vision, wellness, home spa treatments, express doctor visits etc.- Paid Parental Leave- Flexible PTO Options - Company Bonus Program- Asociación Solidarista- Technical Training & Certifications- Extensive Learning and Development Opportunities- Flexible Work-from-Home Policy- Work from Anywhere Benefit
Hakkoda is committed to fostering diversity, equity, and inclusion within our teams. A diverse workforce enhances our ability to serve clients and enriches our culture. We encourage candidates of all races, genders, sexual orientations, abilities, and experiences to apply, creating a workplace where everyone can succeed and thrive.
Ready to take your career to the next level? 🚀 💻 Apply today👇 and join a team that’s shaping the future!!
Hakkoda is an IBM subsidiary which has been acquired by IBM and will be integrated in the IBM organization. Hakkoda will be the hiring entity. By Proceeding with this application, you understand that Hakkoda will share your personal information with other IBM subsidiaries involved in your recruitment process, wherever these are located. More information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here.