Associate II - Data Science

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

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

JOb Summary: We are looking for a Databricks Admin with 4+ years of experience. The ideal candidate will have a strong understanding of Databricks and its capabilities on AWS, as well as expertise in data engineering, data analytics and big data technologies. The Databricks Admin will be responsible for setting up, designing, developing, and deploying data pipelines and applications on Databricks. They will also be responsible for working with other team members to develop and implement data-driven solutions to business problems. Responsibilities:

 

• Manage and administer the Databricks platform, including the Unity Catalog, to support AWS data engineering and data science workflows.
• Collaborate with data engineers and scientists to understand their requirements and configure the Databricks platform accordingly.
• Create and manage workspaces, clusters, and jobs in the Databricks environment.
• Implement security measures and access controls to ensure data privacy and protection within the Databricks platform.
• Configure and optimize Databricks clusters for efficient and scalable data processing and analytics.
• Monitor the performance and health of the Databricks platform and troubleshoot any issues.
• Setup Databricks MLOps
• Design, develop, and deploy data pipelines and applications on Databricks
• Work with the Unity Catalog to organize, discover, and govern data assets within the Databricks platform.
• Define and enforce data governance policies and practices within the Unity Catalog.
• Collaborate with data architects and stewards to ensure data quality and consistency within the Unity Catalog.
• Provide support and training to users of the Databricks platform and the Unity Catalog.
• Stay up-to-date with the latest features and best practices of Databricks and the Unity Catalog and make recommendations for their adoption.

Desired Skills and Experience

Databricks,Aws Administration,Data Modeling