Data Scientist/Data Engineer/Data Analyst

Job Description

Role Description Role Proficiency: Independently interprets data and analyses results using statistical techniques Outcomes 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 goals Measures 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 appreciations No: of mandatory trainings completed Outputs Expected Data Mining: Acquiring data from various sources Reorganizing/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 whole Create Reports Create reports depicting the trends and behaviours from the analysed data Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards and process Code 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 git bitbucket etc. Quality Provide quality assurance of imported data working with quality assurance analyst if necessary. Performance Management Set FAST Goals and seek feedback from supervisor Skill 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 environment Proactively ask for and offer help Knowledge Examples Knowledge 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 solved Code version control e.g. git bitbucket etc Additional Comments NA Skills Data Analyst,Data Science,Team Work