Job Description

JOB DESCRIPTION Role Proficiency: Independently provides expertise on data analysis techniques using software tools streamlining business processes and managing team Outcomes: 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 team\'s 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 reportees Measures 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 completed Outputs Expected: Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Management and Strategy: Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical business insights: Mines the business\'s database in search of critical business insights and communicates findings to the relevant departments. Code: Creates efficient and reusable SQL code meant for the improvement manipulation and 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 analytics: Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive analytics: Attempts to identify what business action to take Code Versioning: Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket. etc. 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 to project related reporting standards/process Skill 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 solved Additional Comments: . Proven experience as a data engineer, with at least 5 years of experience in a similar role. Design, implement, and optimize data pipelines using Spark with Scala, Airflow, and other relevant technologies. . Work with GCP services, including Google Cloud Storage (GCS), BigQuery (BQ), and Dataproc to manage and process big data. . Collaborate with product managers and data stewards to understand data requirements and translate them into efficient data processing workflows. . Ensure data quality, integrity, and security, with a strong emphasis on HIPAA compliance. . Implement and maintain ETL processes to transform the healthcare data into a common data model. . Monitor and troubleshoot data pipelines, ensuring minimal downtime and optimal performance. . Keep up-to-date with industry trends and best practices in data engineering and healthcare data. . Preferred experience in the healthcare domain, with a focus on healthcare data standards and regulations, including HIPAA. . Familiarity with common data models used in healthcare is a plus. . Strong problem-solving skills and the ability to work effectively in a collaborative team environment.

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