Senior Data Analyst
7 days ago
Role :
The role entails collecting, processing, and analyzing large datasets to optimize operations/logistics/processes. The meaningful derivation of data to develop dashboards and reports for areas critical to business. Collaboration with cross functional teams to implement data-driven strategies and intended improvements.
The Data Analyst's scope of work revolves around defining means & ways of collecting right data sets from business lines & support functions, apply analytic tools to draw meaningful dashboards, reports to aid data driven decision making to support stake holders & cross-functional teams in running the business efficiently.
Job Responsibilities:
- Collect and Maintain Data:
- Acquire data from open sources, business lines, research and maintain databases/data systems.
- Filter and clean data by deploying analytical tools.
- Data Storage and Preservation:
- Develop strategies to store & preserve data for optimizing statistical efficiency and quality.
- Data Analysis:
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Reporting and Insights:
- Develop analysis and reporting capabilities to monitor KPIs & developing intelligence around the business.
- Work with management to prioritize business and information needs.
- Process Improvement:
- Locate and suggest business strategies based of insights gained from data analysis & trends.
Requirements/Experience:
- Proven working experience as a Data Analyst or Business Data Analyst.
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
- Strong knowledge of and experience with reporting packages.
- Knowledge of statistical tools.
- Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Bachelor’s degree in computer science, Information Technology, Statistics, Mathematics, or a related field.
- Advanced degree or certification in Data Science or Analytics.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
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