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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesETLdata modelingdata visualizationSQLPythonGolangRESTful APIcloud infrastructuredata validation

Soft Skills

collaborationcommunicationproblem-solvingdata-driven decision makingstakeholder engagement

Certifications

CJIS clearance