Data Analyst, AI

Averna

Data Analyst generating insights from large production and quality data at Spherea. Collaborating with engineering teams on data-driven improvements and automating manual processes.

Posted 7/14/2026full-timeRemote • Iowa • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL for data extraction and transformation, along with proficiency in Python for data analysis. Capable of developing AI-powered solutions and interactive dashboards to enhance data quality and support decision-making.

Highest-signal resume keywords

Advanced SQL ProficiencyPython Data AnalysisDashboard DevelopmentStatistical Analysis SkillsData Modeling and Normalization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData AnalysisStatistical AnalysisData NormalizationData ModelingAI-Powered SolutionsAnomaly DetectionData Quality AnalysisRoot-Cause Analysis

Soft Skills

Analytical SkillsProblem-Solving SkillsVerbal CommunicationWritten Communication

Tools & Technologies

Looker StudioTableauPower BINumPyPandasMatplotlibScikit-learn

Industry Keywords

Data ScienceData AnalyticsProduction DataQuality ConceptsKey Performance Indicators

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Extract, transform, and analyze large-scale production, testing, deployment, and operations data using advanced SQL (DML)
Understand and translate production, quality, and reliability concepts into measurable, data-driven solutions and key performance indicators (KPIs)
Perform statistical analyses on production test data to ensure integrity, reliability, and readiness for automation and root-cause analysis of deviations
Provide continuous upstream feedback to improve data quality, coverage, and performance
Identify and implement opportunities to automate manual processes using AI and advanced analytics
Develop AI-powered recommendation systems for data normalization, anomaly detection, intelligent data mapping, and data quality analysis
Design, develop, and maintain interactive dashboards and reports using tools such as Looker Studio, Tableau, Power BI, or equivalents

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, or a related field
Advanced proficiency in SQL and a strong understanding of data modeling and normalization best practices
Proficiency in Python (or R) for data analysis, including experience with the PyData ecosystem (NumPy, Pandas, Matplotlib, scikit-learn)
Excellent analytical, problem-solving, and statistical analysis skills
Proven experience creating dashboards, reports, and structured datasets to support business and engineering decision-making
Excellent verbal and written communication skills in English

Benefits

Comp & perks

Learn and grow across multiple cutting-edge projects
Remote work #LI-REMOTE
One additional day off for your birthday
Competitive total compensation and benefits package
Paid time off between Christmas and New Year’s Day
Significant discount on Montreal public transit pass