Data Analyst
2 weeks ago
Organization: IMS Datawise
Role: Data Analyst
Reports to: Manager
Location: Jaipur
Mode: Work from Office
Shift Timings: 6.30pm to 4.30am / 7.30pm to 5.30am (during day light saving)
Calendar: US Holiday calendar and weekends off (No Indian Holidays)
Roles & Responsibilities:
Data Analyst Executive will be responsible for collecting, processing and analyzing large sets of data to derive actionable insights that support decision-making.
Work closely with various teams to provide meaningful reports, identify trends and help optimize processes through data-driven solutions.
Gather and organize large datasets from various sources. Ensure the accuracy and integrity of data by performing regular data cleaning and validation.
Maintain and update databases of the clients.
Analyze data using statistical tools and methodologies to identify trends, patterns and correlations.
Develop reports, dashboards and data visualizations to present findings.
Generate insights that help in decision-making and improve business operations.
Present findings and recommendations to stakeholders to drive improvements.
Collaborate with cross-functional teams to understand business challenges.
Translate business needs into analytical projects to provide insights and solutions.
Identify opportunities to improve processes and performance through data insights.
Use software such as Excel, SQL, Python, R, Tableau, Power BI, or similar tools for data manipulation and visualization. Automate routine reporting tasks through scripts or business intelligence tools. Stay updated with industry trends, best practices and new technologies in data analysis. Recommend process improvements based on insights gathered from data analysis.
Qualifications and Skills required:
Graduate in any discipline.
1-2 years of relevant work experience.
Strong analytical and problem-solving skills.
Knowledge of statistical methodologies and data mining techniques.
Good communication skills with the ability to present data insights clearly.
Experience working with large datasets and relational databases.
Attention to detail and a passion for working with data and reports.
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