Highly motivated Analyst with a strong background in research and business analytics. Skilled in Power BI, SQL, Python, and Excel, adept at analyzing complex datasets and transforming them into actionable insights. Prove…
Highly motivated Analyst with a strong background in research and business analytics. Skilled in Power BI, SQL, Python, and Excel, adept at analyzing complex datasets and transforming them into actionable insights. Proven expertise in data mining, formulation, ELT integration, data modeling, and visualization. Effective communicator and a team player with a track record of delivering projects on time with accuracy.
Responsibilities:
✓ Develop analytics insights using Data Analytics tools, Data modelling concepts, database
management systems, reporting & visualizations tools. (Power BI, Tableau, Excel, SQL SSIS)
✓ Developed SQL scripts to extract data from database to get various data on research
papers, drugs, and documents on timely basis. Maintained a high accuracy rate and
consistently met project deadlines.
✓ Analysed data and interpreted information from research publications databases to
support decision-making. Prepared and verified data models to ensure data quality.
✓ Preparation of data model of research papers using ETL and data modelling.
✓ Research Data accuracy dashboards with various KPI to monitor progress.
✓ Created and updated data documentation, reports, and presentations. Managed data to
improve accuracy and streamline processes.
✓ Stakeholder relations: Communicated clearly and provided proactive assistance to
stakeholders and team.
Develop analytics insights using Data Analytics tools, Data modelling concepts, database management systems, reporting & visualizations tools (Power BI, Tableau, Excel, SQL SSIS).
Developed SQL scripts to extract data from database to get various data on research papers, drugs, and documents on timely basis.
Maintained a high accuracy rate and consistently met project deadlines.
Analysed data and interpreted information from research publications databases to support decision-making.
Prepared and verified data models to ensure data quality.
Prepared data model of research papers using ETL and data modelling.
Created research data accuracy dashboards with various KPI to monitor progress.
Created and updated data documentation, reports, and presentations.
Managed data to improve accuracy and streamline processes.
Communicated clearly and provided proactive assistance to stakeholders and team.
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