Data Analyst

Company Description BlueKwet Technologies is a growing technology company focused on delivering data-driven solutions for business challenges across industries. The organization values innovation, analytical thinking, and collaborative problem-solving to help clients make informed decisions. Team members work with modern tools and methodologies, contributing to products and services that leverage data for measurable impact. BlueKwet Technologies offers opportunities for professional growth, continuous learning, and involvement in meaningful projects. The company promotes an inclusive, respectful workplace where diverse perspectives are encouraged.
Role Description The Data Analyst role at BlueKwet Technologies is a full-time, on-site position based in Cannanore. In this role, the Data Analyst will collect, clean, and organize data from multiple sources, build reports and dashboards, and generate insights to support business decisions. The person in this position will analyze trends, identify patterns, and prepare clear visualizations and summaries for stakeholders. The Data Analyst will collaborate with cross-functional teams to define data requirements, support ongoing projects, and recommend improvements based on findings. The role also involves documenting methodologies, maintaining data quality standards, and contributing to the continuous enhancement of analytical processes and tools.
Qualifications
Candidates should possess strong Analytical Skills and proven experience in Data Analytics.
Candidates should possess a solid foundation in Statistics for data interpretation and decision support.
Candidates should possess effective Communication skills for presenting findings and collaborating with teams.
Candidates should possess experience in Data Modeling and working with structured and unstructured datasets.
Candidates should possess proficiency in data analysis tools (e.g., Excel, SQL, Python/R) and data visualization platforms (e.g., Power BI, Tableau).
Candidates should possess a bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, Engineering, or a related discipline.
Candidates should possess strong attention to detail, problem-solving abilities, and the capacity to work both independently and in a team environment.
Experience in technology or consulting environments and familiarity with database management concepts are beneficial.

Work arrangement
No