Role Proficiency:Independently interprets data and analyses results using statistical techniquesOutcomes:- Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person; generating insights and helping clients make better decisions.- Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data.- Utilizes historical data sets and planned changes to business models and forecast business trends- Working alongside teams within the business or the management team to establish business needs.- Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders.Set FAST goalsMeasures of Outcomes:- Schedule adherence to tasks- Quality - Errors in data interpretation and Modelling- Number of business processes changed due to vital analysis.- Number of insights generated for business decisions- Number of stakeholder appreciations/escalations- Number of customer appreciationsNo: of mandatory trainings completedOutputs Expected:Data Mining:- Acquiring data from various sourcesReorganizing/Filtering data:- Consider only relevant data from the mined data and convert it into a format which is consistent and analysable.Analysis:- Use statistical methods to analyse data and generate useful results.Create Data Models:- Use data to create models that depict trends in the customer base and the consumer population as a wholeCreate Reports:- Create reports depicting the trends and behaviours from the analysed dataDocument:- Create documentation for own work as well as perform peer review of documentation of others' workManage knowledge:- Consume and contribute to project related documentsshare pointlibraries and client universitiesStatus Reporting:- Report status of tasks assigned- Comply with project related reporting standards and processCode:- Create efficient and reusable code. Follows coding best practices.Code Versioning:- Organize and manage the changes and revisions to code. Use a version control tool like gitbitbucketetc.Quality:- Provide quality assurance of imported dataworking with quality assurance analyst if necessary.Performance Management: Set FAST Goals and seek feedback from supervisorSkill Examples:- Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.- Communication Skills: Ability to present findings or translate the data into an understandable document- Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings.- Attention to Detail: Making sure to be vigilant in the analysis to come with accurate conclusions.- Quantitative skills - knowledge of statistical methods and data analysis software- Presentation Skills - reports and oral presentations to senior colleagues- Mathematical skills to estimate numerical data.- Work in a team environmentProactively ask for and offer helpKnowledge Examples:- Proficient in mathematics and calculations.- Spreadsheet tools such as Microsoft Excel or Google Sheets- Advanced knowledge of Tableau or PowerBI- SQL- Python- DBMS- Operating Systems and software platforms- Knowledge about customer domain and also sub domain where problem is solvedCode version control e.g. git bitbucket etcAdditional Comments:
