Data Analyst
Platform ScienceSalary not specified
- Full Time
- Junior (1 to 2 years)
$60,000 – $90,000Compensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Data Engineering, AnalyticsIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in computer science, Engineering, Information Systems, or a related discipline, along with 2-5 years of experience as a Data Engineer, preferably within AI data platforms, financial services, or BI environments. Strong proficiency in Python programming is required, alongside a solid understanding of financial analytics concepts, including market data, portfolio analysis, risk metrics, and trading workflows. Experience in SQL and relevant database technologies (relational and NoSQL) is also necessary, as well as excellent problem-solving skills and attention to detail.
Responsibilities
As a Data Engineer at Domo Inc., you will be responsible for designing, developing, and optimizing data pipelines and ETL processes for AI-driven financial analytics and BI platforms, ingesting, processing, and modeling large and diverse financial datasets to ensure data accuracy and performance. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions, implement data validation, monitoring, and quality assurance frameworks within data workflows, and work with cloud-native technologies (AWS, GCP, or Azure) and big data tools to support real-time and batch data processing. Additionally, you will continuously improve data platform reliability, security, and efficiency, document data practices, workflows, and contribute to knowledge sharing within the team.
Skills
Python
SQL
AWS
GCP
Azure
ETL
Data Pipelines
Financial Analytics
Market Data
Portfolio Analysis
Risk Metrics
Trading Workflows
Data Validation
Data Monitoring
Data Quality Assurance
Big Data Tools
Relational Databases
NoSQL Databases
Domo
Cloud-based business intelligence platform for data insights
About Domo
Domo is a cloud-based business intelligence platform that helps companies make data-driven decisions by integrating data from various sources and providing real-time visualizations and predictive insights. It serves a wide range of clients, from small businesses to large enterprises, and stands out with its cloud-native architecture that combines data integration, visualization, and app-building capabilities. Domo operates on a subscription model and offers custom solutions tailored to specific business needs. The company's goal is to empower organizations to leverage their data effectively, enhancing decision-making and improving overall business performance.
Key Metrics
American Fork, UtahHeadquarters
2010Year Founded
$695.2MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
1,001-5,000Employees