Job Description

JOB DESCRIPTION Role Proficiency: Provide expertise on data analysis techniques using software tools. Under supervision streamline business processes. Outcomes: Design and manage the reporting environment which include data sources security and metadata. 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 Measures of Outcomes: Quality - number of review comments on codes written 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 Outputs Expected: Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Critical business insights: Mines the business\'s database in search of critical business insights communicates findings to 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 for example git bitbucket. etc. Create Reports: Create reports depicting the trends and behaviours from analyzed data Document: Create documentation for worked performed. Additionally perform peer reviews 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 processes 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 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 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. 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 Additional Comments: Your objectives . Use your knowledge and expertise to deliver value to clients and partners . Lead with confidence, charisma, context, and humility, working effectively at all levels . Inspire customers and partners with your expertise, vision and thought leadership on data engineering and data management . Share your knowledge with your colleagues and build a culture of learning, expertise & excellence . Develop and enhance service offerings, understand strategic opportunities, develop trusted partnerships, and deliver social progress . Adopt a cloud-first strategy to enhance agility and elasticity Your background Bachelor\'s Degree/Masters Degree in computer science or any engineering discipline Minimum 6 years of designing, building and operationalizing data solutions and applications (with batch or streaming data) Excellent understanding on SQL data storage structures and storage/query optimizations Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc. Proficiency in BI skills, including experience in generating reports, dashboards and other business intelligence outputs Proficiency with Qlik strongly preferred, but PowerBI and Tableau are also options Proficient in at least one core language: Python, Scala, Java Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing Exposure to one of more of cloud services like AWS, Azure or GCP Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats. Strong ability to develop and maintain relationships among clients, colleagues, and partners Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.) Ability to work independently with minimal guidance Ability to work as part of a large team Ability to work within an unstructured environment with ability to multitask well

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