Data Analyst (DA007)

A2r Software Consulting; Gurgaon; On-site; INR 600,000 - 800,000; Full time

Benefits offered by this job

Health and medical insurance

Paid vacation and leave benefits

Career growth and training programs

Flexible working options

Job summary

A2r Software Consulting is looking for a motivated Data Analyst to join our analytics team in Gurgaon, India. In this role, you will collect, process, and analyze large datasets to support business decisions.

Your responsibilities will include using tools like Power BI and SQL to derive insights and create reports that drive strategic planning and operational efficiency.

This position offers a hybrid work model, competitive salary, and opportunities for professional development.

Qualifications

• Strong analytical skills and attention to detail.
• Experience working with data visualization tools and reporting platforms.
• Ability to analyze structured and unstructured datasets.

Responsibilities

• Collect, clean, validate, and organize data from multiple sources.
• Analyze structured and unstructured datasets to identify trends and patterns.
• Collaborate with business teams to understand reporting requirements.

Skills

Data Analysis

Data Visualization

Statistical Analysis

Microsoft Excel

SQL

Python

Communication

Problem-solving

Education

Degree in Statistics, Mathematics, or Computer Science

Tools

Power BI

Tableau

Microsoft SQL Server

Oracle Database

MySQL

Google Data Studio

Job description

Accenture Gurgaon,India Data Analyst-1-4 Years Full-Time Degree in Statistics, Mathematics, or Computer Science

Job Description

Accenture is seeking a highly motivated and analytical Data Analyst to join our data and analytics team. The ideal candidate will be responsible for collecting, processing, analyzing, and interpreting large datasets to help business stakeholders make informed decisions. The candidate should possess strong analytical skills, attention to detail, and experience working with data visualization tools, databases, and reporting platforms.

As a Data Analyst, you will collaborate with business teams, data engineers, project managers, and senior leadership to identify trends, generate insights, and develop data-driven solutions. You will transform raw data into meaningful information that supports strategic planning, operational efficiency, and business growth.

The role offers an opportunity to work with modern analytics tools, business intelligence platforms, and enterprise data systems while contributing to digital transformation initiatives across various industries.

Key Responsibilities

Data Collection & Management

• Collect, clean, validate, and organize data from multiple sources.
• Ensure data accuracy, consistency, and completeness.
• Develop and maintain datasets, reports, and dashboards.
• Monitor data quality and identify anomalies.
• Perform data extraction, transformation, and loading (ETL) activities.

Data Analysis

• Analyze structured and unstructured datasets to identify trends and patterns.
• Perform exploratory data analysis (EDA).
• Generate actionable insights to support business decisions.
• Conduct statistical analysis and data modeling.
• Evaluate key business metrics and performance indicators.
• Create interactive dashboards and visual reports.
• Present analytical findings to stakeholders and management.
• Design data visualization solutions that communicate complex information effectively.
• Prepare regular business performance reports.
• Develop executive summaries and presentations.

Business Support

• Collaborate with business teams to understand reporting requirements.
• Translate business questions into analytical solutions.
• Support strategic planning and decision-making processes.
• Recommend process improvements based on data findings.
• Assist in forecasting and business planning initiatives.

Documentation & Governance

• Document data sources, methodologies, and analytical processes.
• Ensure compliance with data governance standards.
• Maintain data dictionaries and reporting documentation.
• Support data security and privacy initiatives.

Required Technical Skills

Data Analysis Tools

• Microsoft Excel (Advanced)
• SQL
• Python
• R Programming (Preferred)

Database Technologies

• Microsoft SQL Server
• MySQL
• Oracle Database
• Power BI
• Tableau
• Google Data Studio

Programming & Analytics

• Statistical Analysis
• Data Cleaning and Transformation

Reporting Tools

• Power BI Service
• SQL Server Reporting Services (SSRS)
• Business Intelligence Platforms

Required Knowledge Areas

• Statistical Methods
• Business Intelligence Concepts
• Database Management
• Data Governance
• ETL Processes
• Data Warehousing Concepts
• KPI and Metrics Analysis
• Forecasting and Trend Analysis

Preferred Skills

• Experience with Machine Learning fundamentals.
• Knowledge of Azure Data Factory or AWS Analytics Services.
• Familiarity with Big Data technologies.
• Experience with cloud-based data platforms.
• Understanding of predictive analytics.
• Knowledge of automation and scripting.

Soft Skills

• Strong analytical and critical thinking abilities.
• Excellent communication and presentation skills.
• Problem-solving mindset.
• Attention to detail and accuracy.
• Time management and organizational skills.
• Ability to work collaboratively in cross-functional teams.
• Business-oriented approach to data analysis.

Day-to-Day Activities

• Writing SQL queries to retrieve and analyze data.
• Creating dashboards and reports for stakeholders.
• Cleaning and validating datasets.
• Conducting trend and performance analysis.
• Preparing business insights and recommendations.
• Participating in meetings with business teams.
• Monitoring KPI performance metrics.
• Supporting decision-making through data-driven analysis.

Key Performance Indicators (KPIs)

• Accuracy of reports and dashboards.
• Timely delivery of analytical reports.
• Data quality and consistency.
• Business impact of analytical recommendations.
• Dashboard adoption and usage.
• Efficiency improvements achieved through insights.
• Competitive salary package and performance bonuses.
• Health and medical insurance coverage.
• Hybrid and flexible working options.
• Professional training and certification programs.
• Employee wellness and assistance programs.
• Paid vacation and leave benefits.
• Career growth and leadership development opportunities.
• Access to global projects and clients.

Why Join Accenture?

• Work with industry-leading analytics and business intelligence tools.
• Gain exposure to diverse industries and business domains.
• Collaborate with data experts and technology professionals.
• Access continuous learning and certification opportunities.
• Build a successful career in data analytics and business intelligence.