Data Analyst

Role Purpose

The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.

Do

1. Managing the technical scope of the project in line with the requirements at all stages
2. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
3. Develop record management process and policies
4. Build and maintain relationships at all levels within the client base and understand their requirements.
5. Providing sales data, proposals, data insights and account reviews to the client base
6. Identify areas to increase efficiency and automation of processes
7. Set up and maintain automated data processes
8. Identify, evaluate and implement external services and tools to support data validation and cleansing.
9. Produce and track key performance indicators

1. Analyze the data sets and provide adequate information
2. Liaise with internal and external clients to fully understand data content
3. Design and carry out surveys and analyze survey data as per the customer requirement
4. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools
5. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
6. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
7. Develop predictive models and share insights with the clients as per their requirement

Stakeholder Interaction

Stakeholder Type Stakeholder Identification Purpose of Interaction Internal

Project Manager/ Database LeadRegular reporting & updates

External ClientsClient engagement, reviews etc

Display

Lists the competencies required to perform this role effectively:

• Functional Competencies/ Skill
  • Leveraging Technology - Knowledge of current and upcoming technology (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization - Expert
  • Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk - Expert
  • Technical knowledge - knowledge of various programming languages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) and tools on data analytics - Expert

Competency LevelsFoundationKnowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.CompetentConsistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.ExpertApplies the competency in all situations and is serves as a guide to others as well.MasterCoaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization.

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

Deliver

No.Performance Parameter Measure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

Adobe Launch and Analytics