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\Senior 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.

The role requires regular overlap with US Eastern Time.

Responsibilities

Data Analysis and Interpretation

• Analyze complex datasets to identify meaningful patterns, relationships, trends, and anomalies.
• Apply appropriate statistical and quantitative methods to validate findings and distinguish meaningful changes from normal variability.
• Use methods such as regression analysis, hypothesis testing, probability analysis, time-series analysis, or simulations when relevant to the business question.
• Evaluate analytical outputs critically and verify that conclusions are supported by the available data.
• Translate analytical findings into clear conclusions and practical recommendations.

Client-Facing Analytics

• Work directly with clients and internal stakeholders to understand their questions, business challenges, and decision-making needs.
• Clarify ambiguous requests and determine what data and analysis are required to address them.
• Present findings in clear, practical language that non-technical audiences can understand and use.
• Explain analytical assumptions, limitations, and trade-offs when necessary.
• Support client decision-making with evidence-based insights and recommendations.

Data Preparation and Research

• Work with client-provided data in different formats and levels of quality or structure.
• Collect, clean, organize, validate, and prepare data for analysis.
• Identify missing information and determine how it can be obtained or supplemented.
• Research external data sources, industry benchmarks, and relevant context to support analysis.