Data Analyst

About the Company

Teknophile Services Private Limited, established in 2019, collaborates with government and business entities (including G2B, G2G, G2C, and B2B) to facilitate digital transformation initiatives. The company specializes in delivering customized software solutions, mobile apps, AI-driven technologies, and online government service platforms. With a skilled team exceeding 50 professionals spread over eight strategic locations in India, the firm provides comprehensive technology services. Operating under the mantra “Let’s Make it simple!”, Teknophile emphasizes practical, user-oriented solutions that simplify complex workflows.

Role Overview

The Data Analyst position, based full-time in Lucknow, Uttar Pradesh, supports project teams through data-driven insights. Responsibilities include aggregating, cleaning, and validating data across varied sources, conducting statistical analyses, and designing data models that inform business and operational strategies. The role also entails generating straightforward reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences. Strong collaboration with project managers, software developers, and client stakeholders is essential for translating business queries into quantifiable metrics and actionable strategies. Further, maintaining data quality, documenting procedures, and aiding ongoing enhancements in analytical workflows and tools are key aspects of the position.

Qualifications & Skills

• Demonstrated analytical capabilities with proven experience in data analytics.
• Strong foundation in statistics and application of statistical techniques on practical datasets.
• Competence in data modeling to organize data for efficient reporting and analysis.
• Effective communication skills to translate complex data insights for diverse audiences.
• Experience with business intelligence and analytics software such as Excel, SQL, Power BI, Tableau, or equivalents; familiarity with scripting languages like Python or R is a plus.
• Preferably a bachelor’s degree in quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering, Economics, or closely related fields.
• Meticulous attention to detail, strong problem-solving skills, and a systematic approach towards documenting and reporting.
• Exposure to government or corporate datasets and awareness of data privacy and security standards is advantageous.