Data Analyst Associate

As a Data Analyst Associate at MHTECHIN, you will be responsible for collecting, processing, and analyzing data from various sources. Your role will involve building dashboards and visualizations, identifying trends, and providing actionable insights to support business decisions. You will collaborate with different teams to ensure data quality and integrity throughout the process. Key Responsibilities: - Collect, clean, transform, and validate large and complex datasets from diverse sources. - Perform exploratory data analysis (EDA) to identify patterns, trends, correlations, and anomalies. - Build, maintain, and update dashboards, reports, and visualizations using tools like Tableau, Power BI, Looker, or similar. - Collaborate with stakeholders to translate business questions into analytical models and actionable insights. - Ensure data integrity, accuracy, and consistency across data pipelines and reporting layers. - Document analysis methodologies, dashboards, workflows, and communicate findings clearly to technical and non-technical stakeholders. - Assist in basic statistical analysis, A/B testing, and predictive/prescriptive modeling under guidance for fresher/off-campus roles. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, or a related discipline. - Strong proficiency in SQL and Excel. - Familiarity with data visualization tools such as Power BI, Tableau, or similar. - Good analytical, statistical, and problem-solving skills with attention to detail. - Excellent written and verbal communication skills to present insights to non-technical stakeholders. Preferred / Nice-to-Have: - Experience or academic projects in Python or R for data analysis. - Familiarity with cloud data platforms (AWS, Google BigQuery, Azure). - Understanding of basic machine learning concepts or product analytics tools (Amplitude, Mixpanel) for off-campus roles. - Prior internship/project experience in data analytics, BI, or a related field. Why Join Us: - Work in an environment where analytics drives strategic decisions and growth. - Mentorship, training, and clear growth path (Data Analyst Senior Analyst Data Scientist) for freshers. - Hybrid/remote-friendly environment, collaborative team, modern tools. - Competitive salary, performance bonuses, and benefits. Application Process: - Submit your resume and academic transcripts. - Online assessment (aptitude, SQL/Python). - Technical interview (case study, problem-solving). - HR/managerial round (culture fit, career aspirations).,