
Lead I - Data Science
- Pune, Maharashtra
- Permanent
- Full-time
- Provide technical expertise on data storage structures data mining and data cleansing.
- Support the data warehouse in identifying and revising reporting requirements.
- Support initiatives for data integrity and normalization.
- Assess tests and implement new or upgraded software. Assist with strategic decisions on new systems. Generate reports from single or multiple systems.
- Troubleshoot the reporting database environment and associated reports.
- Identify and recommend new ways to streamline business processes
- Illustrate data graphically and translate complex findings into written text.
- Locate results to help clients make better decisions. Solicit feedback from clients and build solutions based on feedback.
- Train end users on new reports and dashboards.
- Set FAST goals and provide feedback on FAST goals of repartees
- Data consistency and data quality.
- Number of medium to large custom application data models designed and implemented
- Illustrates data graphically; translates complex findings into written text.
- Number of results located to help clients make informed decisions.
- Number of business processes changed due to vital analysis.
- Number of Business Intelligent Dashboards developed
- Number of productivity standards defined for project
- Number of mandatory trainings completed
and analysis of data. * Creates efficient and reusable code. Follows coding best practices.Create/Validate Data Models: * Builds statistical models; diagnosesvalidates
and improves the performance of these models over time.Predictive analytics: * Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysisPrescriptive analytics: * Attempts to identify what business action to takeCode Versioning: * Organize and manage the changes and revisions to code. Use a version control tool for example gitbitbucket. etc.Create Reports: * Create reports depicting the trends and behaviours from analyzed dataDocument: * Create documentation for worked performed. Additionallyperform peer reviews of documentation of others' workManage knowledge: * Consume and contribute to project related documentsshare point
libraries and client universitiesStatus Reporting: * Report status of tasks assigned
- Comply with project related reporting standards and processes
- Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail.
- Critical Thinking: Data Analysts must review numbers trends and data to come up with original conclusions based on the findings.
- Presentation Skills - facilitates reports and oral presentations to senior colleagues
- Strong meeting facilitation skills as well as presentation skills.
- Attention to Detail: Vigilant in the analysis to determine accurate conclusions.
- Mathematical Skills to estimate numerical data.
- Work in a team environment
- Proactively ask for and offer help
- Programming language such as R or Python
- Analytical tools and languages such as SAS & Mahout.
- Proficiency in MATLAB.
- Data visualization software such as Tableau or Qlik.
- Proficient in mathematics and calculations.
- Efficiently with spreadsheet tools such as Microsoft Excel or Google Sheets
- DBMS
- Operating Systems and software platforms
- Knowledge regarding customer domain and sub domain where problem is solved