Data Analyst

Job Description: Data Analyst

Role Title: Data Analyst

Reports To: Project Manager/Database Lead

Direct Reports: N/A

Indirect Reports (Up to N-2): N/A

Role Purpose

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

Key Responsibilities

• Project Management:
  • Manage the technical scope of the project in line with requirements at all stages.

• Data Gathering & Analysis:
  • Gather information from various sources (data warehouses, databases, data integration, and modeling) and interpret patterns and trends.
  • Analyze data sets and provide adequate information.
  • Liaise with internal and external clients to fully understand data content.
  • Design and carry out surveys, and analyze survey data as per customer requirements.
  • Analyze and interpret complex data sets relating to customers' business and prepare reports for internal and external audiences using business analytics reporting tools.
  • Mine and analyze large datasets, draw valid inferences, and present them successfully to management using a reporting tool.

• Process Development & Maintenance:
  • Develop record management processes and policies.
  • Identify areas to increase efficiency and automation of processes.
  • Set up and maintain automated data processes.
  • Identify, evaluate, and implement external services and tools to support data validation and cleansing.

• Client Interaction:
  • Build and maintain relationships at all levels within the client base and understand their requirements.
  • Provide sales data, proposals, data insights, and account reviews to the client base.
  • Create data dashboards, graphs, and visualizations to showcase business performance and provide sector and competitor benchmarking.
  • Develop predictive models and share insights with the clients as per their requirements.

• Key Performance Indicators (KPIs):
  • Produce and track key performance indicators.

Competencies

Functional Competencies/Skills

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

Competency Levels

• Foundation: Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.
• Competent: Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.
• Expert: Applies the competency in all situations and serves as a guide to others as well.
• Master: Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognized within the entire organization.

Behavioral Competencies

• Formulation & Prioritization
• Client Centricity
• Execution Excellence
• Passion for Results
• Confidence
• Business Acumen
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