Associate III - Data Analysis

Role Proficiency

Independently interprets data and analyses results using statistical techniques

Outcomes

• Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person; generating insights and helping clients make better decisions.
• Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data.
• Utilizes historical data sets and planned changes to business models and forecast business trends
• Working alongside teams within the business or the management team to establish business needs.
• Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders.
• Set FAST goals

Measures Of Outcomes

• • Schedule adherence to tasks
  • Quality – Errors in data interpretation and Modelling
  • Number of business processes changed due to vital analysis.
  • Number of insights generated for business decisions
  • Number of stakeholder appreciations/escalations
  • Number of customer appreciations
  • No: of mandatory trainings completed

  Data Mining

• Outputs Expected:

• 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 depict 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 and process

Code

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 an understandable document
• 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 to come with accurate conclusions.
• Quantitative skills - knowledge of statistical methods and data analysis software
• Presentation Skills - reports and oral presentations to senior colleagues
• Mathematical skills to estimate numerical data.
• Work in a team environment
• Proactively ask for and offer help

Knowledge Examples