1844 IT & Software Developer jobs in the US
Analytics Engineer (LookML)
$90,000 - 133,000
KUBRA
East Rio Salado Parkway 40, Tempe
$90,000 - 133,000
Requirements
Must:
- 3–5 years of experience in data analysis and reporting, ideally in product or SaaS environments.
- Proficient with SQL and Looker.
- Experience in developing comprehensive reporting solutions from data modeling to dashboard deployment and support.
- Familiarity with LookML, model/view development, data warehousing concepts, and ETL/ELT practices; experience with cloud platforms (AWS/Azure) is a plus.
- Experience collaborating with Data Engineering and Data Science teams; skills in Python/ML/AI are advantageous.
- Bachelors degree in a relevant field (e.g., Computer Science, Statistics, Analytics, Mathematics, Engineering, Economics) or equivalent experience.
- Advanced certifications in analytics or BI tools are preferred.
- Excellent problem-solving, verbal and written communication, and data storytelling abilities.
- Strong analytical skills with experience handling large and complex datasets; keen attention to detail.
- Familiarity with Python for advanced analysis and data manipulation.
- Ability to establish and maintain KPIs, translating business inquiries into analytical specifications.
- Solid understanding of data governance, cataloging, and metric standardization.
- Strong organizational and time management skills; capacity to manage multiple priorities under tight deadlines.
- Proactive, collaborative, and client-centered mindset with strong influence and impact skills.
Responsibilities
- Manage a curated catalog of business metrics and KPIs, ensuring consistent definitions and alignment across products and clients.
- Design, develop, and automate dashboards and reports using Power BI and Looker, supported by robust data models and clear analytical frameworks.
- Collaborate with Data Engineering to establish reporting datasets, implement data quality checks, and enforce governance standards.
- Provide accurate and timely reports and dashboards to stakeholders with high reliability and attention to detail.
- Conduct thorough analyses to uncover trends, drivers, and opportunities, offering actionable recommendations to business leaders.
- Automate recurring reporting processes (e.g., QBRs, client packages) using reusable datasets, templates, and semantic layers.
- Model, query, and transform data utilizing SQL; ensure performance of data pipelines, refresh schedules, and access controls.
- Partner with Data Science to facilitate experiments and monitor ML/AI outcomes via production dashboards.
- Collaborate with cross-functional teams (Product, CXT, Finance, Client Success) to align metrics with company and client objectives.
- Document analytical logic, KPI definitions, data lineage, and assumptions to foster self-service and knowledge sharing.
- Implement quality assurance for data assets, including validation, regression testing, and anomaly monitoring.
- Stay updated with BI and analytics tools and best practices; suggest and adopt enhancements that improve reliability, performance, or usability.
Description
At KUBRA, we are proud to be an innovative leader in customer communications solutions, serving major utility, insurance, and government entities across North America. Our AI-powered, cloud-native platform unifies our billing, payments, and customer experience solutions, enabling seamless management of the customer communication and billing journey. We thrive in a culture that celebrates diversity and inclusion, offering competitive compensation, robust benefits, and ample opportunities for growth within a collaborative environment. This hybrid role is based in Tempe, AZ, where our small yet dynamic team is dedicated to making a meaningful impact in the industry.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1844 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Sequoia Software, Novatek International, Neptronic, Fort44 Inc., Damotech, LendingPad Corp, Select Blinds among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 177 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 177 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.