Job Description

5 - 7 Years
2 Openings
Bangalore

Role 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:



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:



Role Proficiency: Develops applications and selects appropriate technical options. Optimizes application development maintenance and performance by employing design patterns and by reusing proven solutions. Independently account for others' developmental activities and assists Lead I - Product Engineering Outcomes: Understand product requirements and user stories from customer discovery process Create high/low level design document and maintain necessary artefacts Ensure requirements coverage of complex features with unit test cases Ensure appropriate technical options for development are selected such as reusing improving or reconfiguration of existing components or create own solutions Troubleshooting development and production problems across multiple environments and operating platforms. Provide technical guidance to the team to resolve challenging programming and design problems Create effort estimation and ETA for the deliverables ensure adherence to timelines/SLAs wherever applicable Ensure code coverage and code quality by active participation in architecture / code reviews Ensure adherence to the best practices and standards with provision of periodic status updates Execute test cases and prepare release document in line with the requirements Ensure career progression for Associate Product Engineers via focused mentoring and grooming Ensure career progression for Associate Product Engineers & Product Engineers I via focused mentoring and grooming Optimises efficiency cost and quality Influence and improve customer satisfaction Influence and improve employee engagement within the project teams Set OKRs for self/team and also provide feedback to these 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 Number of reusable components/libs developed Adherence to mandatory domain certification/ product certifications Personal achievement of quarterly/yearly objectives (OKR Assignments HIG Stretch goals) Outputs Expected: Product Requirements: Understand the functional/ non functional requirements gathered from the stakeholders (Architect Product Manager Product Lead Client) for enhancement. Participate in cross functional meetings to review Product Marketing user stories and Functional Requirements and create clarification list to resolve ambiguities; Conduct feasibility study to understand the impact of user stories on the existing product; Provide inputs to the development lead on estimation Understand new / complex product requirements (functional and non functional) ; Create a low level design document (which captures class level diagram and attributes mapped to the class and sequence diagram) based on the understanding of high level design; 6. Seek review inputs from the Architect and incorporate the same Product Design and Development: Develop/Support scripts (like Powershell scripts) that automate configuration/build/deployment tasks Onboard and extend existing tools to product dev/support teams Deliver components that automates parts of the build/deploy lifecycle for products Configure a CI/CD pipeline that can be used by application development/support teams Create POCs to identify the feasibility of new technologies/ products and share the findings with the architecture team for new products Provide technical inputs for product research design analysis testing process improvement and complex troubleshooting for critical and large projects; Create high level software design (HLSD) documents under the guidance of Architects Provide technical expertise to resolve challenging programming and design problems Participate in architecture / code reviews and eliminate implementation problems early in development cycle Create and low level design document for product enhancement Seek review inputs from the product specialist Build code as per the design document Support the client in user acceptance testing if required Product Testing: Review Test Cases and Test Plan; Conduct Integration testing and resolve defects/bugs Product Training and Documentation: Provide inputs to technical publications and review documentation of key features as required. Product Sign Offs: Resolve existing issues Gather users' feedback from the client and identify ways to enhance the usability Project Management: Provide inputs on the status of the module development to the development lead. People Management: Mentor Software Engineers and conduct one on one sessions to coach team members; Enable high performance for team members using FAST G&F Skill Examples: Uses Domain / Industry Knowledge to ind

Skills

Data Scientist,Data Engineering,Database

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.