This role is Remote in US!!
This role is not eligible for immigration sponsorship or transfers.
Please email your resume to Svitlana at
[[email protected]](mailto:[email protected]), ensuring you include where
you discovered this job opportunity.
Role Description
As a Data Analytics Engineer for GFiber, you will be working with multiple
stakeholders across the organization to provide quantitative support, define
metric rules and logic, deliver useful tables and reports, model business
scenarios, and solve a wide range of business problems. To do so, you will be
expected to create new pipelines from scratch, merging broad financial and ERP
data sets together into a cohesive technical infrastructure. You will be
responsible for engineering foundational table resources using Google Cloud
Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc. The pipelines,
metrics, tools, and analyses you develop will be used by our leaders to make
strategic decisions and serve as a key input in decision-making.
**Responsibilities**
Create foundational pipelines and data extractions with large data sets using
SQL and other GCP technologies demonstrating comfort with software-
engineering-level best practices and approaches to data pipelines and
management.
Work with large, complex data sets to solve difficult analysis problems,
assess the impact of initiatives, and create on-going tooling/resources to run
the business.
Collaborate with cross-functional partners to understand business context for
solutions, analysis, and tooling needed to become the single point of contact
for all financial data engineering questions.
Undertake specific tasks, bugs, and maintenance work. Additionally, own
complex projects, proving mastery through accuracy, timeliness, and volume of
work, with minimal guidance.
**Minimum Qualifications**
Bachelor's degree or equivalent practical experience.
5 years of experience in analytics, data science, and/or computer science
engineering.
5 Years of experience with using SQL, writing queries from scratch on a daily
basis, data engineering, architecture, pipeline management, and Extract,
Transform, Load (ETL).
Expertise using GCP tools.
**Nice To Have**
Experience in HTML, Python, or other coding languages.
Experience using data to identify opportunities for business improvement and
defining/measuring the success of those initiatives.
Ability to use written and verbal communication to build relationships with
cross-functional partners and conduct presentations for stakeholders,
including executive leadership.
Ability to engage with PMO teams to prioritize, provide level of effort
estimations, manage bug queues and bandwidth.
The US base salary range for this full-time position is between $105,600 -
$154,900 + bonus + cash award + benefits.