Data Analyst / Business Analyst
SBI Cards and Payments Services Ltd
Total des années d'expérience :5 years, 6 Mois
Interpreting data, and analyzing results using statistical techniques.
Developing and implementing data analyses, data collection systems,
and other strategies that optimize statistical efficiency and quality.
Using automated tools to extract data from primary and secondary
sources.
Coordinate with the operation / IT department related to the source of
data.
Removing corrupted data and fixing coding errors and related problems.
Developing and maintaining databases, and data systems - reorganizing
data in a readable format.
Performing analysis to assess the quality and meaning of data.
Using statistical tools to identify, analyze, and interpret patterns and
trends in complex data sets could be helpful for diagnosis and prediction.
Analyzing local, national, and global trends that impact both the
organization and the industry.
Preparing reports for the management stating trends, patterns, and
predictions using relevant data.
Responsible and accountable for reconciling transactions by comparing
and correcting data.
Responsible and accountable for maintaining the database by entering,
verifying, and backing up data.
Responsible and accountable for recommending actions by analyzing
and interpreting data and making comparative analyses
studying proposed changes in methods and materials.
Increases productivity by developing automated accounting
applications.
coordinating information requirements.
Preparing various reports using, Pivot Tables/Chart, Data Tools, Data
Validation, and Graphical Representation.
Strong mathematical skills to help collect, measure, organize, and
analyze data
Prepare automated excel sheets with Power Query linked directly from the
database.
Preparing Ad-hoc reports catering to the requirements of the operations
team.
Building Analysis Services reporting models.
Liaison within and outside the organization for data pertaining to Employee
targets, and Employees Scores.
Preparing Incentives for employees on a monthly basis.
Preparing Monthly Performance Dashboard of employees.
Technical proficiency in database design development, data models,
techniques for data mining, and segmentation.
Analytical thinking for translating data into informative reports and
visuals.
Connecting to data sources, importing data, and transforming data for
Business Intelligence.
Be able to quickly shape data into reporting and analytics solutions
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