Hakkoda 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!.
A Hakkoda Analytic Engineer will collect and analyze data to identify trends and provide clients with valuable information that they can use to improve marketing, operational and business practices. The main duties include identifying, gathering, analyzing data and making their insights accessible to the company through easy-to-understand graphs, charts, tables and reports. You will be working closely with data engineers, asset owners and team experts and will have responsibilities across different dimensions. You will support the experts in the development of new tools and/or the maintenance of current proprietary databases especially through database structuring, developing workflow processes and reporting.
We are looking for people experienced with building data warehouses and analytics systems in the cloud (AWS, Azure, GCP).


    • Bachelor’s degree in engineering, computer science or equivalent area
    • 2+yrs in related technical roles, data management, database development, ETL, and/or data analysis domains
    • Good understanding of data prep, analytics and visualization tools like R, Python, Excel and Tableau
    • Experience/exposure to SQL language, Python, Cloud infrastructure is a plus
    • Understanding of REST APIs, data modeling, data warehousing, data lakes and big-data concepts
    • SQL scripting
    • Experience with business intelligence / data analytics
    • Ability to prepare reports and present to internal and customer stakeholders
    • Track record of sound problem solving skills and action oriented mindset
    • Strong interpersonal skills including assertiveness and ability to build strong client relationships
    • Ability to work in Agile teams
    • Advanced English
$83,000 – $125,000 a year
Pay Range Transparency
Hakkoda is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Hakkoda utilizes a wide salary range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed below.
Hakkoda is an exciting, high growth company, and we’re scaling our team. We are looking for exceptional people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Hakkoda. We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way. Are you ready for the adventure? Click here to see our culture on display.
Benefits will vary by country:
– Medical, Dental, Vision
– Life Insurance
– Stock options upon hire
– Paid parental leave
– Paid time off
– Work from home benefits for 100% remote roles
– Technical training and certifications
Job Type: Full Time Remote
Job Location: United States

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