{"@context":"https://schema.org/","@type":"JobPosting","title":"Data Analyst Fresher , Data Analytics","description":"

Job Title: Data Analyst – Fresher

Experience: 0–1 Year

Employment Type: Full-Time, Permanent

Industry: Engineering & Construction

Department: Data Analytics / Operations

Job Description:

We are looking for enthusiastic and detail-oriented Data Analyst Freshers to join our growing team. This is an excellent opportunity for recent graduates who are passionate about data analysis, problem-solving, and generating meaningful business insights. Candidates will have the opportunity to develop their analytical skills while working with data management, reporting, and visualization tools.

Key Responsibilities:

Collect, organize, clean, and analyze structured and unstructured data.

Identify trends, patterns, and insights to support business decision-making.

Prepare reports, dashboards, and data visualizations.

Assist business teams with data analysis and reporting requirements.

Perform data validation and quality checks to ensure data accuracy and consistency.

Maintain and update databases, spreadsheets, and other data records.

Support MIS reporting and day-to-day data management activities.

Assist in preparing analytical reports using Excel, SQL, Power BI, or Tableau.

Skills and Qualifications:

Basic computer knowledge and proficiency in MS Excel.

Understanding of data entry, data management, and reporting processes.

Good communication, analytical, and problem-solving skills.

Basic knowledge of SQL is an added advantage.

Familiarity with Power BI or Tableau is preferred.

Ability to work with data accurately and maintain attention to detail

Willingness to learn new tools, technologies, and analytical techniques.

Key Skills:

Data Entry and Data Management

Microsoft Excel and Advanced Excel

Pivot Tables, VLOOKUP, and Power Query

MIS Reporting and Report Preparation

Data Cleaning and Data Validation

Data Analysis and Exploratory Data Analysis (EDA)

Data Visualization and Data Interpretation

Basic Statistical Analysis

SQL (MySQL, PostgreSQL, or SQL Server)

Python for Data Analysis

Power BI and Tableau

Back-Office Operations and Backend Support

Computer Operations and Reporting

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