01Overview
Job DescriptionRole Proficiency:Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing teamOutcomes Managing and designing the reporting environment including data sources security and metadata. Providing technical expertise on data storage structures data mining and data cleansing. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Synthesize both quantitative and qualitative data into insights Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Understanding business requirements and translating it into executable steps for the team members. Identify and recommend new ways to streamline business processes Illustrates data graphically and translates complex findings into written text. Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback. Review the teams deliverables before sending final reports to stakeholders. Support cross-functional teams with data reports and insights on data. Training end users on new reports and dashboards. Set FAST goals and provide feedback on FAST goals of reporteesMeasures Of Outcomes Quality - number of review comments on codes written Accountable for data consistency and data quality. Number of medium to large custom application data models designed and implemented Illustrates data graphically and translates complex findings into written text. Number of results located to help clients make informed decisions. Attention to detail and level of accuracy. Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Manage team members and review the tasks submitted by team members Number of mandatory trainings completedOutputs ExpectedDetermine Specific Data needs:Work with departmental managers to outline the specific data needs for each business method analysis projectManagement And StrategyOversees the activities of analyst personnel and ensures the efficient execution of their duties.Critical business insights:Mines the businesss database in search of critical business insights and communicates findings to the relevant departments.CodeCreates efficient and reusable SQL code meant for the improvementmanipulationand analysis of data.Creates efficient and reusable code. Follows coding best practices.Create/Validate Data Models:Builds statistical models; diagnoses validates and improves the performance of these models over time.Predictive AnalyticsSeeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysisPrescriptive AnalyticsAttempts to identify what business action to takeCode VersioningOrganize and manage the changes and revisions to code. Use a version control tool like gitbitbucket. etc.Create ReportsCreate reports depicting the trends and behaviours from the analysed dataDocumentCreate documentation for own work as well as perform peer review of documentation of others workManage KnowledgeConsume and contribute to project related documentsshare pointlibraries and client universitiesStatus ReportingReport status of tasks assignedComply to project related reporting standards/processSkill Examples Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings. Presentation Skills - reports and oral presentations to client Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples Database languages such as SQL 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 or Power BI. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solvedAdditional CommentsAs a Collibra Technical Lead, your primary responsibilities will revolve around the technical installation, integration, configuration, and management of Collibra, a data governance and cataloging platform. In addition to these duties, you will also be responsible for .
