Data analyst jobs

About this role

• Managing the technical scope of the project in line with therequirements at all stages
• Gather information from various sources (data warehouses,database, data integration and modelling) and interpret patterns andtrends
• Develop record management process and policies
• Build and maintain relationships at all levels within the clientbase and understand their requirements.
• Providing sales data, proposals, data insights and accountreviews to the client base
• Identify areas to increase efficiency and automation ofprocesses
• Set up and maintain automated data processes
• Identify, evaluate and implement external services and tools tosupport data validation and cleansing.
• Produce and track key performance indicators
  
  

• Analyze the data sets and provide adequate information
• Liaise with internal and external clients to fully understanddata content
• Design and carry out surveys and analyze survey data as per thecustomer requirement
• Analyze and interpret complex data sets relating tocustomer’s business and prepare reports for internal and externalaudiences using business analytics reporting tools
• Create data dashboards, graphs and visualization to showcasebusiness performance and also provide sector and competitorbenchmarking
• Mine and analyze large datasets, draw valid inferences andpresent them successfully to management using a reporting tool
• Develop predictive models and share insights with the clients asper their requirement
  
  




Stakeholder Interaction

Stakeholder Type

Stakeholder Identification

Purpose of Interaction

Internal

Project Manager/ Database Lead

Regular reporting & updates

External

Clients

Client engagement, reviews etc





Display

Lists the competencies required to perform this role effectively:


• Functional Competencies/ Skill
• Leveraging Technology – Knowledge of current and upcomingtechnology (automation, tools and systems) to build efficiencies andeffectiveness in own function/ Client organization – Expert
• Process Excellence - Ability to follow the standards and norms toproduce consistent results, provide effective control and reduction ofrisk – Expert
• Technical knowledge – knowledge of various programminglanguages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) andtools on data analytics - Expert
  
  
Competency Levels

Foundation

Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with minimal support and guidance.

Competent

Consistently demonstrates the full range of the competencywithout guidance. Extends the competency to difficult and unknownsituations as well.

Expert

Applies the competency in all situations and is serves as a guideto others as well.

Master

Coaches others and builds organizational capability in thecompetency area. Serves as a key resource for that competency and isrecognised within the entire organization.




• Behavioral Competencies
• Formulation &Prioritization
• Client centricity
• Execution Excellence
• Passion for Results
• Confidence
• Business Acumen
  
  
Deliver

No.

Performance Parameter

Measure


• 
  
  
Analyses data sets and provide relevant information to the client

No. Of automation done, On-Time Delivery, CSAT score, Zero customerescalation, data accuracy

Data Analysis