Abnormal Security
Overview
Employer Industry: Artificial Intelligence and Data Analytics
Why consider this job opportunity
Base salary up to $145,000
Eligibility for bonuses and restricted stock units (RSUs)
Opportunity for career advancement and growth within the organization
Collaborative work environment with cross-functional teams
Chance to contribute to critical R&D initiatives and infrastructure optimization
What to Expect (Job Responsibilities)
Build, enhance, and maintain data pipelines and dashboards for infrastructure cost optimization across various platforms
Support reporting and data development for AI enablement and engineering productivity initiatives
Collaborate with engineers and technical stakeholders to define and optimize actionable metrics
Apply SQL, dbt, and Python skills to automate data measurement and ensure quality
Translate ambiguous business questions into structured analyses for insight generation
What is Required (Qualifications)
3+ years of experience working with large-scale data in analytical or product-oriented environments
Proficiency in writing complex SQL queries and building reliable data models
Hands-on experience using DBT (Data Build Tool) for data transformation
Strong understanding of data analyst best practices, including reproducibility and validation
Bachelor's degree in a quantitative field such as Data Science, Mathematics, or Computer Science
How to Stand Out (Preferred Qualifications)
MS degree in Data Science, Mathematics, or related engineering field
Experience with cloud cost and operational datasets (AWS, Azure, Databricks)
Familiarity with predictive modeling or statistical analysis techniques
Proficiency with business intelligence tools (e.g., Looker, Tableau, Power BI)
#ArtificialIntelligence #DataAnalytics #CareerOpportunity #CompetitivePay #CollaborativeEnvironment
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr
Employer Industry: Artificial Intelligence and Data Analytics
Why consider this job opportunity
Base salary up to $145,000
Eligibility for bonuses and restricted stock units (RSUs)
Opportunity for career advancement and growth within the organization
Collaborative work environment with cross-functional teams
Chance to contribute to critical R&D initiatives and infrastructure optimization
What to Expect (Job Responsibilities)
Build, enhance, and maintain data pipelines and dashboards for infrastructure cost optimization across various platforms
Support reporting and data development for AI enablement and engineering productivity initiatives
Collaborate with engineers and technical stakeholders to define and optimize actionable metrics
Apply SQL, dbt, and Python skills to automate data measurement and ensure quality
Translate ambiguous business questions into structured analyses for insight generation
What is Required (Qualifications)
3+ years of experience working with large-scale data in analytical or product-oriented environments
Proficiency in writing complex SQL queries and building reliable data models
Hands-on experience using DBT (Data Build Tool) for data transformation
Strong understanding of data analyst best practices, including reproducibility and validation
Bachelor's degree in a quantitative field such as Data Science, Mathematics, or Computer Science
How to Stand Out (Preferred Qualifications)
MS degree in Data Science, Mathematics, or related engineering field
Experience with cloud cost and operational datasets (AWS, Azure, Databricks)
Familiarity with predictive modeling or statistical analysis techniques
Proficiency with business intelligence tools (e.g., Looker, Tableau, Power BI)
#ArtificialIntelligence #DataAnalytics #CareerOpportunity #CompetitivePay #CollaborativeEnvironment
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr