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Data Analyst
AvernaData Analyst transforming data into dashboards, pipelines, and AI-enabled workflows. Supporting Spherea Group’s global test and quality solutions through operational improvements and leadership insights.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, statistical methods, and the development of automated reporting systems. Proficient in transforming complex data into actionable insights and creating scalable data pipelines to support business decision-making.
Highest-signal resume keywords
Data AnalysisStatistical AnalysisSQL CodingDashboard DevelopmentETL Data Pipeline Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical AnalysisSQLPythonRDashboard DevelopmentETL DesignAI/ML ModelsData ManagementCloud Data Platforms
Soft Skills
Analytical SkillsProblem-SolvingCommunication Skills
Tools & Technologies
GCP Analytics ToolsAI-Enabled Applications
Industry Keywords
Data ScienceData AnalyticsEngineering ProblemsOperational EfficiencyProcess Improvement
Tech Stack
Tools & technologiesCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Gather, organize, and interpret information to support business decision-making
- Identify trends, opportunities, and areas for improvement
- Collaborate with stakeholders across the organization
- Develop reports, dashboards, and solutions providing visibility into business activities and performance
- Contribute to process improvement, operational efficiency, and organizational effectiveness projects
- Identify and solve ambiguous problems by transforming data into actionable insights for leadership decisions
- Build data pipelines, reports, best practices, and frameworks for analysts and stakeholders
- Transform complex data formats into metrics, dashboards, and AI-enabled applications
- Modernize manual workflows into scalable, automated, insight-driven systems using statistical analysis, cloud data platforms, and AI technologies
Requirements
What you’ll need- Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, a related technical field, or equivalent experience
- Equivalent experience may substitute for the bachelor's degree
- Advanced experience using analytics to solve engineering problems
- Experience performing statistical analysis
- Coding experience, such as SQL, Python, or R
- Experience creating dashboards, reports, and structured datasets for business and engineering decisions
- Strong analytical, problem-solving, and statistical analysis skills
- Excellent verbal and written communication skills in English
- Experience with GCP analytics tools and data management preferred
- Experience designing ETL data pipelines and modeling data preferred
- Practical experience with AI/ML models, LLMs, and AI-enabled workflow automation preferred
- Experience managing stakeholder expectations and presenting solutions preferred
Benefits
Comp & perks- Remote work model
- Competitive benefits package
- Competitive total compensation
- An additional day off for your birthday
- Flex days paid between Christmas and New year's
- Learn and grow through multiple cutting-edge projects
- ESG-focused company mission
- Employment equity, diversity, and inclusion commitment