Data Analyst Job in Techishubhdeep IT Solutions Pvt. Ltd.

Responsibilities:

Data Collection and Cleaning: Gather and preprocess data from various sources to ensure accuracy, completeness, and consistency.

Data Analysis: Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.

Data Visualization: Create clear and insightful visualizations, such as charts, graphs, and dashboards, to communicate findings to stakeholders.

Statistical Analysis: Apply statistical methods and techniques to interpret data, test hypotheses, and make predictions.

Report Generation: Generate reports summarizing analysis findings and recommendations for management and other stakeholders.

Data Quality Assurance: Monitor and maintain data quality standards to ensure data integrity and reliability.

Collaboration: Collaborate with cross-functional teams, including business analysts, data engineers, and decision-makers, to understand business requirements and provide data-driven insights.

Continuous Improvement: Stay updated on industry trends, best practices, and emerging technologies in data analysis to improve processes and methodologies.

Experience Required:

Analytical Skills: Strong analytical and problem-solving skills to dissect complex data sets and derive meaningful insights.

Technical Skills: Proficiency in programming languages such as SQL, Python, or R for data manipulation, analysis, and visualization.

Data Analysis Tools: Experience with data analysis tools such as Excel, Tableau, or Power BI for data visualization and reporting.

Statistical Knowledge: Understanding of statistical concepts and methods for data analysis, including hypothesis testing, regression analysis, and clustering.

Database Management: Familiarity with database management systems (DBMS) and SQL for querying and manipulating relational databases.

Communication Skills: Effective communication skills to convey analysis findings and recommendations to both technical and non-technical stakeholders.

Domain Knowledge: Knowledge of the industry or domain relevant to the employer's business can be beneficial for interpreting data in context.

Qualifications Required:

Education: Typically, a bachelor's degree in mathematics, statistics, computer science, economics, or a related field. Some roles may require a master's degree or higher in a quantitative discipline.

Certifications: While not always required, certifications in data analysis, such as Microsoft Certified: Data Analyst Associate or Google Data Analytics Professional Certificate, can demonstrate proficiency in relevant skills and tools.

Experience: Previous experience in data analysis, business intelligence, or a related field is often required, ranging from entry-level positions for recent graduates to mid-level positions requiring several years of experience.

Portfolio: A strong portfolio showcasing data analysis projects, case studies, or examples of work can provide evidence of practical experience and expertise.

By possessing the necessary skills, experience, and qualifications, data analysts can effectively analyze data to extract valuable insights and support data-driven decision-making within organizations.