Data Analyst

Tudip Technologies · Remote

Source and collection record

Last observed by our collector: 9 October 2026 at 12:37 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: data-analyst

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 2 years.

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Retained employer experience wording: 2 yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

Data Analyst The Data Analyst will be responsible for collecting, processing, and analyzing large datasets to identify trends, patterns, and insights that support business decisions. The ideal candidate will have strong analytical skills, experience with data visualization tools, and a passion for turning data into actionable strategies. Key Responsibilities Data Collection and Management: Gather data from various sources, ensuring accuracy, completeness, and consistency. Clean and prepare data for analysis. Data Analysis: Analyze large datasets to identify trends, patterns, and correlations. Use statistical methods and tools to interpret data and generate insights. Reporting and Visualization: Create clear and concise reports, dashboards, and visualizations to present findings to stakeholders. Use tools like Excel, Tableau, Power BI, or similar to create visual representations of data. Business Insights: Work closely with different departments to understand their data needs and provide insights that drive business decisions. Translate complex data into understandable and actionable recommendations. Data Quality Assurance: Ensure the integrity of data by performing regular audits and validations. Identify and resolve data quality issues. Automation and Efficiency: Develop and implement automated processes for data extraction, transformation, and reporting to improve efficiency. Collaboration: Collaborate with cross-functional teams including IT, marketing, finance, and operations to understand data needs and deliver solutions. Qualifications EDUCATION: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. A Master’s degree or relevant certifications (e.g., Google Data Analytics, Microsoft Certified Data Analyst) is a plus. Experience: 2+ years of experience in data analysis or a related field. Experience in [industry] is preferred. Qualifications Proficiency in data analysis tools such as SQL, R, Python, or Excel. Experience with data visualization tools like Tableau, Power BI, or similar. Familiarity with database management and data warehousing concepts. Knowledge of statistical analysis techniques and tools. Communication Skills: Strong verbal and written communication skills. Ability to present complex data findings in a clear and concise manner to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and identify innovative solutions. Attention to Detail: High attention to detail and accuracy in work. Time Management: Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Collected experience requirement

2 years