Senior Data Analyst

Company Description STechWins Inc. is a growing technology company focused on delivering data-driven solutions to support strategic decision-making and operational efficiency. The organization values innovation, collaboration, and practical problem-solving to help clients turn complex data into actionable insights. Team members work with modern tools and methodologies to address real-world business challenges across diverse industries.

STechWins Inc. promotes a supportive, inclusive work environment where individuals can expand their skills and contribute meaningfully to data-focused initiatives. Role Description The Senior Data Analyst role at STechWins Inc. is a full-time, on-site position based in the Hyderabad, Telangana, India. The person in this role will collect, clean, and transform large data sets from multiple sources to support reporting and analytics needs.

Daily responsibilities include developing and maintaining dashboards and reports, performing statistical analyses, and building data models to inform business strategy. The Senior Data Analyst will collaborate closely with cross-functional teams to understand requirements, translate business questions into analytical approaches, and communicate findings in a clear, concise manner. This role also involves mentoring junior analysts, contributing to best practices in data quality and governance, and recommending process improvements based on data insights.

Qualifications Strong Analytical Skills and Data Analytics capabilities to interpret complex data sets and derive actionable insights. Proficiency in Statistics and quantitative analysis to design, execute, and validate data-driven approaches. Experience with Data Modeling, including designing data structures and models that support reporting and advanced analytics.

Effective Communication skills to present findings, create clear documentation, and collaborate with technical and non-technical stakeholders. Proficiency in at least one scripting or programming language used for analysis (e.g., Python, R) is highly beneficial. Familiarity with data warehousing concepts, ETL processes, and data quality best practices.

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field; an advanced degree is a plus. Previous experience in a senior or lead data analyst role, including mentoring or guiding junior team members, is preferred.