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


 

Desired Skills and Experience

Python,Data Modeling,Metadata Management,Sql

Key Skills
Education

Any Graduate

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