Data Analyst
Tudip Technologies · Remote
Collected role description
Role overview
Data Analyst at Tudip Technologies
Data Collection and Management: Gather data from various sources, ensuring accuracy, completeness, and consistency.
The ideal candidate will have strong analytical skills, experience with data visualization tools, and a passion for turning data into actionable strategies.
Responsibilities
- 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.
Required qualifications
- 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.
- 2+ years of experience in data analysis or a related field.
- 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.
- Employer experience: 2 years
Preferred qualifications and skills
- Experience in [industry] is preferred.
Employment details
- Location: India
Additional role details
- 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.
Collected experience requirement
2 years