Data Analyst 2
Abnormal Security
AWSAzureCloudPythonSQLTableau
Data Analyst 2, R&D
Abnormal Security
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudPythonSQLTableau
About the role
- Build, enhance, and maintain data pipelines and dashboards that drive transparency and optimization within our infrastructure cost program (across AWS, Azure, and related platforms).
- Support reporting and data development across AI enablement, engineering productivity, product usage, and other R&D-focused initiatives.
- Partner with engineers and technical stakeholders to define, track, and optimize actionable metrics; participate in metric design, not just execution.
- Apply strong SQL, dbt, and Python skills to automate measurement, ensure data quality, and maintain reliable operational metrics.
- Deliver high-frequency reporting, provide ad hoc analyses, and enable rapid feedback loops for cost and operational effectiveness.
- Work closely with engineers and finance leadership to define, track, and optimize the metrics that matter most for R&D efficiency and innovation.
Requirements
- 3+ years of experience working with large-scale data in analytical or product-oriented environments, with a strong focus on data exploration, interpretation, and communication.
- Proficiency in writing complex SQL queries and building clean, reliable data models to support reporting and analysis.
- Hands-on experience using DBT (Data Build Tool) to transform and organize data for downstream analytics workflows.
- Strong grasp of data analyst best practices, including analysis reproducibility, validating results through testing and sanity checks, and communicating insights clearly to both technical and non-technical audiences.
- Experience with at least one programming language (e.g., Python or R) for data exploration, statistical analysis, and automating reporting workflows; familiarity with DBT and/or Databricks is a plus.
- Bachelor's degree in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
- Demonstrated ability to translate ambiguous business questions into structured analyses and data models optimized for insight generation.
- Strong track record of collaboration with cross-functional partners to deliver high-impact data solutions.
- Preferred but not required: MS degree in Data Science, Mathematics, Statistics, Computer Science, Information Systems or other related engineering field.
- Preferred but not required: Experience integrating and analyzing cloud cost and operational datasets (AWS, Azure, Databricks).
- Preferred but not required: Experience with predictive modeling or statistical analysis techniques to support deeper insights and forecasting.
- Preferred but not required: Proficiency with business intelligence tools (e.g., Looker, Tableau, Power BI) to build intuitive dashboards and communicate insights effectively.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondbtdata modelingdata analysisstatistical analysispredictive modelingdata explorationdata qualityreporting
Soft skills
communicationcollaborationproblem-solvinganalytical thinkinginsight generationadaptabilityattention to detailcross-functional teamworkstakeholder engagementmetric design
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