Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

     Interpret the application/feature/component design to develop the same in accordance with specifications.      Code debug test document and communicate product/component/feature development stages.      Validate results with user representatives; integrates and commissions the overall solution      Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions      Optimises efficiency cost and quality.      Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

     Adherence to engineering process and standards (coding standards)      Adherence to project schedule / timelines      Number of technical issues uncovered during the execution of the project      Number of defects in the code      Number of defects post delivery      Number of non compliance issues On time completion of mandatory compliance trainings

Outputs Expected:

Code:

Code as per design Follow coding standards
templates and checklists Review code – for team and peers

Documentation:

Create/review templates
checklists
guidelines
standards for design/process/development Create/review deliverable documents. Design documentation
r and requirements
test cases/results

Configure:

Define and govern configuration management plan Ensure compliance from the team

Test:

Review and create unit test cases
scenarios and execution Review test plan created by testing team Provide clarifications to the testing team

Domain relevance:

Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications

Manage Project:

Manage delivery of modules and/or manage user stories

Manage Defects:

Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality

Estimate:

Create and provide input for effort estimation for projects

Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities Review the reusable documents created by the team

Release:

Execute and monitor release process

Design:

Contribute to creation of design (HLD
LLD
SAD)/architecture for Applications/Features/Business Components/Data Models

Interface with Customer:

Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos

Manage Team:

Set FAST goals and provide feedback Understand aspirations of team members and provide guidance
opportunities
etc Ensure team is engaged in project

Certifications:

Take relevant domain/technology certification

Skill Examples:

     Explain and communicate the design / development to the customer      Perform and evaluate test results against product specifications      Break down complex problems into logical components      Develop user interfaces business software components      Use data models      Estimate time and effort required for developing / debugging features / components      Perform and evaluate test in the customer or target environment      Make quick decisions on technical/project related challenges      Manage a Team mentor and handle people related issues in team   Maintain high motivation levels and positive dynamics in the team.   Interface with other teams designers and other parallel practices   Set goals for self and team. Provide feedback to team members   Create and articulate impactful technical presentations   Follow high level of business etiquette in emails and other business communication   Drive conference calls with customers addressing customer questions    Proactively ask for and offer help   Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.   Build confidence with customers by meeting the deliverables on time with quality.   Estimate time and effort resources required for developing / debugging features / components   Make on appropriate utilization of Software / Hardware’s.   Strong analytical and problem-solving abilities

Knowledge Examples:

     Appropriate software programs / modules      Functional and technical designing      Programming languages – proficient in multiple skill clusters      DBMS      Operating Systems and software platforms      Software Development Life Cycle      Agile – Scrum or Kanban Methods      Integrated development environment (IDE)      Rapid application development (RAD)   Modelling technology and languages   Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved

Additional Comments:

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: 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