Senior Data Analyst
Tata Consultancy Services
Total years of experience :7 years, 0 Months
• Working as a subject matter expert in data analysis and MIS to provide the team with the needed support.
• Providing support in the creation of detailed analytical models by providing expert opinion related to the integration and processing of data relevant to the business.
• Analysing business process and discrepant data scenarios.
• Identifying the stakeholders needs and requirements.
• Providing high level advanced support to stakeholders, business partners, and product teams in managing specific issue resolution activities.
• Utilizing quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions.
• Providing innovative analytical insights.
• Responding to data and product related inquiries and ad-hoc requests in real-time to support business and technical teams.
• Perform various data analytics in MS Excel using statistical models.
• Providing data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
• Providing expertise and translate the business needs to develop tools, techniques, and metrics for insights and data visualization.
• Creating and presenting the monthly, quarterly, semi-annual, and annual reports to the organization top management.
• Developing a criteria to evaluate vendors’ proposals and select the appropriate one based on the stakeholders needs and requirements.
• Generating dashboards to provide a real time reports and projects’ status for the top management.
• Supporting projects’ managers and track their projects and tasks to keep team members connected throughout the project.
• Generating the financial raw data from the system to mine it and integrate it in useful ways.
• Finding the missing data and fill it with the default values.
• Analyzing the data and generating the needed information.
• Comparing the generated results with the organization KPIs.
• Estimating the departments’ budges, profits, and losses.
• Aligning the results with the organization goals and objectives.
• Creating and presenting the monthly, quarterly, semi-annual, and annual reports to the organization top management.
• Reporting the result to the organization CEO and management.
• Proposing and establishing a criteria to measure employees productivity and introduce the employees incentive program.
• Collecting, interpreting data, and analyzing results.
• Mining the collected data and identifying any missing data.
• Feeding Artificial Intelligence (AI) system with the mined data.
• Generating reports and charts from the AI system.
• Reporting the results to the management.
• Identifying patterns and trends in data sets.
• Working alongside teams within the business or the management team to establish business needs.
• Defining new data collection and analysis processes.
• Creating and presenting the monthly, quarterly, semi-annual, and annual reports to the organization top management.