Data Analyst at PRIMAGAS working on data analysis and machine learning for energy solutions. Responsible for data visualization, modeling, and logistic trend analysis.
About the role
- Data Analytics Engineer working with product and engineering teams to implement data solutions. Analyzing product metrics and guiding roadmap decisions for CrowdStrike's cybersecurity platform.
Responsibilities
- Assist our decision makers by gathering insights that help us improve our products or give us hints on areas where we need to put additional focus on.
- Translate business questions from Product and Engineering into clear metrics, models, and visualizations.
- Collaborate with cross-functional teams to define and track product KPIs tied to adoption, engagement, performance, and customer outcomes.
- Design and implement reliable, scalable data pipelines to ingest and transform product usage and adoption data.
- Manage various data sources, creating Extract-Transform-Load (ETL) solutions, and designing data models based on latest technologies and best practices.
- Significant role in defining the data architecture and helping various stakeholders to translate product questions into measurable metrics and KPIs.
- End-to-end ownership of the data pipeline, from data collection to meaningful presentation of the defined metrics.
- Develop ETL jobs to gather data from multiple sources and provide insights into various product areas.
- Build data warehouses where large amounts of metrics and data will be stored.
- Interact with many product groups within the organization to help define business questions and help transform those to metrics.
- Develop and maintain data visualizations that effectively communicate data insights to stakeholders.
- Implement data visualization tools to support the requirements and help present various metrics in a clear and consistent manner.
- Participate in configuring and receiving uptime alerts related to the services you control.
- Keeping services up and running in a healthy state, including optimization of their performance and stability.
- Develop automations for data validation to ensure data integrity and consistency over time.
Requirements
- Must be eligible for CJIS clearance (typically requires U.S. citizenship or permanent residency).
- 5+ years of experience in a data-centric role (Data Analyst, Data Engineer, or hybrid).
- Ability to translate business needs into scalable, trustworthy data solutions.
- Experience of architecting data pipelines - data ingestions, ETLs, reporting and visualizations
- Experience extracting data from large data systems. LogScale preferred.
- Experience programming in at least one object-oriented programming language, featuring strong types. Python or Golang preferred.
- Experience developing and consuming RESTful API web services.
- Experience interacting with major cloud provider APIs to provision cloud infrastructure, and to monitor it - Amazon Web Services (AWS), Azure, Google Cloud (GCP) and Oracle Cloud Infrastructure (OCI).
- Experience using RDBMS databases, such as Postgres, and accompanying knowledge of SQL.
- Experience with data modeling and Extract-Transform-Load (ETL).
- Experience with data visualization tools and infrastructures to create insightful reports and dashboards. Tableau preferred.
- Proficiency in using Claude code to build AI-powered reports aggregating data from disparate sources.
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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