Associate Ii

Role Proficiency:
Interprets data and analyses results using statistical techniques under supervision

Outcomes:

- Complies and assist in mining and acquiring data from primary and secondary sources; reorganizing the data in a format that can be easily read by either a machine or a person
- Assist in identifying analyzing and interpreting trends or patterns in data sets' generating insights and helping clients make better decisions.
- Conducts research on specific data sets to enable the senior analysts in their work
- Assist in managing master data including creation updates and deletions.
- Help developing reports and analysis that effectively communicate trends patterns and predictions using relevant data.
- Provide support with technical writing and editing as required
- Develop analytics to identify trend lines across several data sources within the organization
- Assists senior analysts in examining and evaluate existing business processes and systems and offer suggestion for changes
- Set FAST goals

Measures of Outcomes:

- Schedule adherence on tasks
- Quality - errors in data presentation and interpretation
- Number of business processes changes highlighted due to vital analysis.
- Number of stakeholder appreciations/escalations
- Number of customer appreciations
- No: of mandatory trainings completed

Outputs Expected:
Data Mining:

- Acquiring data from various sources

Reorganizing/Filtering data:

- Consider only relevant data from the mined data and convert it into a format which is consistent and analysable.

Analysis:

- Use statistical methods to analyse data and generate useful results.

Create Data Models:

- Use data to create models that depicts trends in the customer base and the consumer population as a whole

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 with project related reporting standards/process

Code:

- Create efficient and reusable code. Follows coding best practices.

Code Versioning:

- Organize and manage the changes and revisions to code. Use a version control tool like git
bitbucket
etc.

Quality:

- Provide quality assurance of imported data
working with quality assurance analyst if necessary.

Performance Management:

- Set FAST Goals and seek feedback from supervisor

Skill Examples:

- Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
- Communication Skills: Ability to present findings or translate the data into understandable documents
- Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings.
- Attention to Detail: Making sure to be vigilant in the analysis; coming up with accurate conclusions.
- Quantitative skills - knowledge of statistical methods and data analysis software
- Research skills: It is essential that applicants can undertake in-depth research quantify the information and produce qualitative and quantitative reports.
- Mathematical Skills to estimate numerical data.
- Work in a team environment
- Proactively ask for and offer help

Knowledge Examples:

- Proficient in mathematics and calculations.
- Spreadsheet tools such as Microsoft Excel or Google Sheets
- knowledge of Tableau or PowerBI
- SQL
- Python
- DBMS
- Operating Systems and software platforms
- Knowledge about customer domain and also sub domain where problem is solved
- Code version control e.g. git bitbucket etc.

Additional Comments: