Data Analyst

Company Description

Fuzen IT Solutions is a global leader in leveraging advanced machine learning, artificial intelligence, and data science to deliver transformative business results. With a strong presence across Europe, the UK, and the USA, the company also operates a scalable delivery hub in India, specializing in data science, artificial intelligence, and statistics. Established in 2018, the India facility serves global clients while offering corporate and professional training in data science. Fuzen IT is committed to driving innovation and empowering businesses with cutting-edge technological solutions.

Role: Data Analyst

Experience: 0 to 6 years

Location: Hyderabad,Chennai

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

Role Description

We are seeking a Data Analyst for a full-time on-site role located in Hyderabad. The Data Analyst will be responsible for analyzing large datasets, building data models, and applying statistical methods to uncover insights and trends. The role involves communicating findings to stakeholders, collaborating with teams to support business decisions, and ensuring data accuracy and integrity. In addition, the Data Analyst will contribute to improving data collection and analysis processes to drive business growth.

Job description

Overview

We are seeking a detail-oriented Data Analyst to collect, process, analyze, and interpret data to support business decisions. 

The ideal candidate should have strong analytical skills, proficiency in data tools, and the ability to communicate insights clearly to stakeholders.

Key Responsibilities

Collect, clean, and analyze large datasets from multiple sources.

Prepare dashboards, reports, and visualizations to support decision-making.

Identify trends, patterns, and actionable insights.

Work closely with business teams to understand requirements and deliver data-driven solutions.

Build automated reports and improve existing reporting processes.

Develop and maintain data documentation, KPIs, and performance metrics.

Ensure data accuracy, quality, and consistency across systems.

Use statistical methods to interpret data and support forecasting.

Collaborate with data engineers and product teams for data improvements.

Required Skills

Strong knowledge of Excel, SQL, and data manipulation.

Experience with visualization tools such as Power BI, Tableau, or Looker.

Proficiency in Python or R for data analysis (optional but preferred).

Understanding of data cleaning, wrangling, and ETL concepts.

Knowledge of statistics, KPIs, and business metrics.

Familiarity with databases (PostgreSQL, MySQL, etc.).

Good problem-solving and analytical thinking skills.

Strong communication and presentation abilities.

Preferred Qualifications (Optional)

Experience with cloud data tools (AWS, Azure, GCP).

Exposure to big data tools like Spark or Hadoop.

Knowledge of machine learning basics (regression, clustering, etc.).

Experience with API integrations for data extraction.