1160 | Middle Data Analyst

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and "all-things-digital" solutions, is on the lookout for a Middle Data Analyst to join our team and provide exceptional customer support.Position OverviewWe are looking for a skilled Data Analyst to transform complex datasets into clear, actionable insights that support data-driven decision-making across the organization.This position combines statistical and quantitative analysis, data visualization, research, and stakeholder communication. The ideal candidate can identify meaningful trends, validate analytical results, and clearly explain findings to both technical and non-technical audiences.This is a full-time, long-term position with an immediate start.ResponsibilitiesData AnalysisAnalyze large and complex datasets using statistical and quantitative methodsApply regression analysis, hypothesis testing, probability analysis, simulations, and time-series analysis to identify patterns and explain trendsValidate analytical outputs, identify anomalies and outliers, and distinguish meaningful issues from normal variabilityTranslate analytical findings into practical recommendations for customers and internal stakeholdersSupport business decisions with clear, evidence-based insightsData Visualization and ReportingDesign and develop dashboards, reports, and visualizations that make complex information easy to understandAdapt reporting formats and levels of detail for different audiences, from executive summaries to detailed analytical reportsMonitor dashboards and reports to ensure their accuracy as data sources, business rules, and system configurations changePresent analytical findings clearly to technical and non-technical stakeholdersResearch and Data QualityResearch relevant datasets, industry benchmarks, and external context to support customer questions and internal decision-makingAssess data quality and investigate inconsistencies or unexpected resultsUse AI tools to accelerate research, summarize findings, prepare documentation, and support analytical and quality-assurance workflowsStay informed about relevant analytical tools, data sources, methodologies, and industry best practicesRequirementsBachelor's degree in Statistics, Mathematics, Economics, Computer Science, or another quantitative fieldAt least 3 years of professional experience in data analysis, business intelligence, or a related roleStrong knowledge of statistics and quantitative analysisAdvanced SQL skills and experience working with large datasetsStrong proficiency with at least one data visualization platform, such as Power BI or TableauProficiency in Python, R, or another statistical programming languageExperience creating dashboards, reports, and analytical presentations for different stakeholder groupsExcellent written and verbal communication skills, with the ability to explain complex findings in clear, practical languagePreferred QualificationsMaster's degree in a quantitative fieldExperience with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud PlatformUnderstanding of machine learning concepts and their practical applicationsExperience with A/B testing and experimental designFamiliarity with data governance and data quality practicesExperience using AI tools to improve research, analysis, documentation, or quality-assurance workflowsTechnical SkillsStatistical analysis: regression, hypothesis testing, probability distributions, simulations, and time-series analysisProgramming and querying: Python, R, SQLPython libraries: pandas, NumPy, scikit-learnData visualization: Power BI, Tableau, matplotlib, ggplot2, or similar toolsData tools: advanced Excel, Jupyter Notebook, GitDatabases: SQL Server, PostgreSQL, MySQL, or comparable relational databases