Data Analyst

1 - 6 years

1 - 5 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

1. Data Collection and Gathering

  • Collect data from various sources such as databases, spreadsheets, APIs, and surveys.
  • Ensure data accuracy, completeness, and reliability.
  • Work with IT teams or data engineers to access and extract data efficiently.

2. Data Cleaning and Preparation

  • Identify and correct errors, duplicates, or inconsistencies in datasets.
  • Transform raw data into a usable format for analysis.
  • Handle missing values and ensure data integrity.

3. Data Analysis and Interpretation

  • Use statistical methods to analyze data trends and patterns.
  • Perform exploratory data analysis (EDA) to uncover insights.
  • Interpret results and explain what the data reveals about business performance.

4. Data Visualization and Reporting

  • Create dashboards, charts, and graphs using tools like

    Power BI, Tableau, or Excel

    .
  • Present insights visually to help stakeholders understand key findings.
  • Prepare regular reports for management or business teams.

5. Business Decision Support

  • Provide actionable insights to support strategic and operational decisions.
  • Identify opportunities for process improvement, cost reduction, or revenue growth.
  • Communicate findings clearly to non-technical audiences.

6. Statistical and Predictive Analysis

  • Use statistical models and algorithms to forecast trends.
  • Apply basic machine learning techniques when needed.
  • Measure and evaluate the impact of business initiatives.

7. Collaboration with Teams

  • Work with marketing, finance, operations, and product teams to understand data needs.
  • Translate business questions into analytical problems and provide solutions.
  • Collaborate with data engineers and data scientists to improve data pipelines.

8. Database Management

  • Query and manage databases using

    SQL

    or other data management tools.
  • Ensure data security and confidentiality.
  • Optimize queries for faster and more efficient data retrieval.

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