Data Analyst

0-5 years

Preferred By Company

Pune

12 June 24, 2024

Job Description

Job Type: Full Time Education: BBA/ MBA/ M.Tech/ B.Tech/ B.E/ M.E/ B.Com/ M.Com/ Any Graduates Skills: Python, Communication Skills, Power Bi, Numpy Pandas, Sql, Data Analysis

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

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 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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