1160 | Middle Data Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 12h ago
The date the source published, not the day we noticed it (2026-09-15). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Kazakhstan
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,675–2,250/mo
Middle 50% of 19 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 2h ago · last seen just now
The listing
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 Overview
We 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.
Responsibilities
Data Analysis
- Analyze large and complex datasets using statistical and quantitative methods.
- Apply regression analysis, hypothesis testing, probability analysis, simulations, and time-series analysis to identify patterns and explain trends.
- Validate analytical outputs, identify anomalies and outliers, and distinguish meaningful issues from normal variability.
- Translate analytical findings into practical recommendations for customers and internal stakeholders.
- Support business decisions with clear, evidence-based insights.
Data Visualization and Reporting
- Design and develop dashboards, reports, and visualizations that make complex information easy to understand.
- Adapt reporting formats and levels of detail for different audiences, from executive summaries to detailed analytical reports.
- Monitor dashboards and reports to ensure their accuracy as data sources, business rules, and system configurations change.
- Present analytical findings clearly to technical and non-technical stakeholders.
Research and Data Quality
- Research relevant datasets, industry benchmarks, and external context to support customer questions and internal decision-making.
- Assess data quality and investigate inconsistencies or unexpected results.
- Use AI tools to accelerate research, summarize findings, prepare documentation, and support analytical and quality-assurance workflows.
- Stay informed about relevant analytical tools, data sources, methodologies, and industry best practices.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or another quantitative field.
- At least 3 years of professional experience in data analysis, business intelligence, or a related role.
- Strong knowledge of statistics and quantitative analysis.
- Advanced SQL skills and experience working with large datasets.
- Strong proficiency with at least one data visualization platform, such as Power BI or Tableau.
- Proficiency in Python, R, or another statistical programming language.
- Experience creating dashboards, reports, and analytical presentations for different stakeholder groups.
- Excellent written and verbal communication skills, with the ability to explain complex findings in clear, practical language.
Preferred Qualifications
- Master’s degree in a quantitative field.
- Experience with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Understanding of machine learning concepts and their practical applications.
- Experience with A/B testing and experimental design.
- Familiarity with data governance and data quality practices.
- Experience using AI tools to improve research, analysis, documentation, or quality-assurance workflows.
Technical Skills
- Statistical analysis: regression, hypothesis testing, probability distributions, simulations, and time-series analysis
- Programming and querying: Python, R, SQL
- Python libraries: pandas, NumPy, scikit-learn
- Data visualization: Power BI, Tableau, matplotlib, ggplot2, or similar tools
- Data tools: advanced Excel, Jupyter Notebook, Git
- Databases: SQL Server, PostgreSQL, MySQL, or comparable relational databases