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Data Analyst

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Infosys

3mo ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity

AI generated summary

  • You need 5+ years of data analysis experience, expertise in SQL, Python, and machine learning, strong problem-solving skills, and proficiency in visualization tools. Excellent communication and teamwork are essential.
  • You will collect, clean, and analyze data, identify trends, create dashboards, document findings, and manage projects while interfacing with clients and teams.

Requirements

  • 5+ years of experience as a Data Analyst or similar role.
  • Proven track record of collecting, cleaning, analyzing, and interpreting large datasets
  • Expertise in Pipeline designing and Validation
  • Expertise in statistical methods, machine learning techniques, and data mining techniques
  • Proficiency in SQL, Python, PySpark, Looker, Prometheus, Carbon, Clickhouse, Kafka, HDFS and ELK stack (Elasticsearch, Logstash, and Kibana)
  • Experience with data visualization tools such as Grafana and Looker
  • Ability to work independently and as part of a team
  • Problem-solving and analytical skills to extract meaningful insights from data
  • Strong business acumen to understand the implications of data findings
  • Collect, clean, and organize large datasets from various sources
  • Perform data analysis using statistical methods, machine learning techniques, and data visualization tools
  • Identify patterns, trends, and anomalies within datasets to uncover insights
  • Develop and maintain data models to represent the organization's business operations
  • Create interactive dashboards and reports to communicate data findings to stakeholders
  • Document data analysis procedures and findings to ensure knowledge transfer
  • High analytical skills
  • A high degree of initiative and flexibility
  • High customer orientation
  • High quality awareness
  • Excellent verbal and written communication skills
  • Logical thinking and problem solving skills along with an ability to collaborate
  • Two or three industry domain knowledge
  • Understanding of the financial processes for various types of projects and the various pricing models available
  • Client Interfacing skills
  • Knowledge of SDLC and agile methodologies
  • Project and Team management

Responsibilities

  • Collect, clean, and organize large datasets from various sources
  • Perform data analysis using statistical methods, machine learning techniques, and data visualization tools
  • Identify patterns, trends, and anomalies within datasets to uncover insights
  • Develop and maintain data models to represent the organization's business operations
  • Create interactive dashboards and reports to communicate data findings to stakeholders
  • Document data analysis procedures and findings to ensure knowledge transfer
  • Client interfacing skills
  • Project and team management

FAQs

What is the minimum experience required for the Data Analyst position?

The minimum experience required is 5+ years as a Data Analyst or in a similar role.

What types of datasets will I be working with in this position?

You will be working with large datasets collected from various sources that require cleaning, analyzing, and interpreting.

Are there specific programming languages or tools that I need to be proficient in for this role?

Yes, proficiency in SQL, Python, PySpark, Looker, Prometheus, Carbon, Clickhouse, Kafka, HDFS, and the ELK stack (Elasticsearch, Logstash, Kibana) is required.

Will I be required to create visualizations and reports?

Yes, you will need to create interactive dashboards and reports to communicate data findings to stakeholders using data visualization tools like Grafana and Looker.

Is experience with statistical methods and machine learning important for this role?

Yes, expertise in statistical methods, machine learning techniques, and data mining techniques is essential for analyzing data.

Will I be expected to work independently, or is this a team-oriented role?

This role requires the ability to work both independently and as part of a team.

Do I need to have industry-specific knowledge for this position?

Yes, having two or three different industry domain knowledge will be beneficial.

Is client interfacing experience necessary for this position?

Yes, client interfacing skills are important as you will be communicating data findings to stakeholders.

What kinds of communication skills are required for this role?

Excellent verbal and written communication skills are necessary to effectively convey data analysis findings to stakeholders.

What is the organizational philosophy regarding problem-solving?

The role requires strong problem-solving and analytical skills to extract meaningful insights from data and identify patterns, trends, and anomalies.

Does the company follow agile methodologies?

Yes, knowledge of SDLC and agile methodologies is required for this role.

Are there expectations for project and team management in this role?

Yes, some project and team management experience is expected as part of the responsibilities.

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Infosys

Transforming Enterprises To Become A Thriving Live Enterprise. AI-Powered. Digital Agility At Scale. Always-On Learning.

Consulting
Industry
10,001+
Employees
1918
Founded Year

Mission & Purpose

Infosys is a multinational corporation that provides information technology (IT) consulting and services. The company's primary focus is on digital transformation, business process management, and consulting for clients across various industries. Infosys aims to help organisations navigate the rapidly evolving landscape of technology by providing innovative solutions, software development, and IT services. Their ultimate mission is to empower businesses to thrive in the digital age through cutting-edge technology solutions. Infosys plays a crucial role in enabling its clients to achieve operational efficiency, enhance customer experiences, and stay competitive in the global market.

Culture & Values

  • Client Value

    To surpass client expectations consistently with our hunger and boldness

  • Leadership by Example

    To act on our conviction that ordinary people can be inspired and mentored to do extraordinary things

  • Integrity and Transparency

    To be ethical, sincere and open in all our transactions

  • Fairness

    To be objective, empathetic and caring in our transactions

  • Excellence

    To strive relentlessly, constantly learn, improve ourselves, our teams, and services to become the best