Data Analyst

Company Description Teknophile Services Private Limited, founded in 2019, partners with government and business organizations (G2B, G2G, G2C, and B2B) to enable digital transformation. The company delivers customized software, mobile applications, AI-based solutions, and online government service delivery platforms. A team of 50+ professionals supports clients from eight strategic locations across India, providing end-to-end technology services. Guided by the motto “Let’s Make it simple!”, Teknophile Services focuses on practical, user-centric solutions that streamline complex processes for its clients.
Role Description The Data Analyst will work on-site in Lucknow in a full-time capacity, supporting data-driven decision-making across projects. Responsibilities include collecting, cleaning, and validating data from multiple sources, performing statistical and analytical evaluations, and building data models to support business and operational insights. The role involves preparing clear reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders. The Data Analyst will collaborate closely with project managers, software teams, and client representatives to translate business questions into measurable metrics and actionable recommendations. The position also requires monitoring data quality, documenting methodologies, and contributing to the continuous improvement of analytics processes and tools.
Qualifications
Candidates should possess strong Analytical Skills and proven experience in Data Analytics.
Candidates should possess solid knowledge of Statistics and the ability to apply statistical methods to real-world data.
Candidates should possess experience in Data Modeling, including structuring datasets for reporting and analysis.
Candidates should possess clear and effective Communication skills for presenting complex information to diverse stakeholders.
Proficiency with analytics and BI tools (e.g., Excel, SQL, Power BI, Tableau or similar) and basic scripting skills (e.g., Python or R) are beneficial.
A bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline is preferred.
Attention to detail, problem-solving ability, and a structured approach to documentation and reporting are important.
Experience working with government or enterprise datasets, and familiarity with data privacy and security practices, is an advantage.

Work arrangement
No