Data Analytics Consultant

Fractal; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Fractal in Bengaluru is seeking an experienced data analytics professional to drive reporting, dashboards, and data-driven decision making across business units.

You will design and maintain Power BI/Qlik dashboards, implement ETL with Python/SQL, apply AI techniques for automation, and partner with IT and business teams to align metrics with strategic goals.

Qualifications

• 8+ years of experience in data analysis and reporting.
• Proficient in Python (Pandas, NumPy) and SQL.
• Experience building dashboards with Power BI or Qlik.
• Knowledge of ETL processes and data integration.
• Familiarity with cloud data handling (AWS/Azure/GC).
• Experience applying AI/ML for analytics is a plus.
• Strong communication and collaboration skills.

Responsibilities

• Analyze data and generate insights to support decisions.
• Design, develop, and maintain dashboards with BI tools.
• Ensure data integrity and validate data sources.
• Automate ETL processes using Python scripts.
• Collaborate with cross-functional teams to define KPIs.
• Translate data into clear reports for stakeholders.
• Identify process improvements for faster reporting.

Skills

Data analysis

Python

SQL

Power BI

Qlik

Data visualization

Cloud platforms

AI & ML concepts

Automation

Education

Graduate/ Post Graduate in Computer Science/ Information Science / Electronics or equivalent

Tools

Power BI

Qlik

Python

SQL

AWS

Azure

Google Cloud

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Description

Key Responsibilities:

• Data Analysis and Reporting:
• Gather, clean, and analyze data to support business operations and decision-making.
• Design, develop, and maintain custom reports and dashboards using tools like Power BI, Qlik, or similar.
• Ensure data integrity and accuracy in all reports by validating data sources and performing thorough checks.
• Data Extraction and Transformation:
• Perform data transformation and cleaning using Python for deeper analysis and reporting.
• Automate the extraction, transformation, and loading (ETL) of data using Python scripts or any advanced automation tools to streamline processes.
• . Artificial Intelligence (AI) Application:
• Apply AI techniques to various business use cases to drive greater efficiency and innovation.
• Develop, implement, and maintain AI models and solutions tailored to business needs, such as process optimization, predictive analytics, or automation.
• Collaborate with cross-functional teams to identify opportunities where AI can add value and streamline operations.

4. Business Intelligence & Insights:

• Work with business stakeholders to define key performance indicators (KPIs) and metrics for reporting.
• Develop and provide ad-hoc reports to various departments based on business needs.
• Create and deliver insights through data visualization to help teams understand trends and patterns.
• Collaboration and Communication:
• Partner with internal teams to understand their reporting and data analysis requirements.
• Translate complex data sets into clear, understandable reports for non-technical stakeholders.
• Communicate insights and findings effectively, providing recommendations to enhance business outcomes.
• Process Improvement:
• Identify opportunities to optimize reporting processes through automation and improved data management practices.
• Collaborate with IT and data engineering teams to enhance data architecture for better reporting and analytics.

Qualifications:

• Technical Skills:
• Data Analysis: Proficiency in data analysis using Python (Pandas, NumPy) and data extraction and manipulation.
• Reporting Tools: Experience with reporting and business intelligence tools like Power BI, Qlik, or similar.
• ETL: Familiarity with ETL processes to automate data integration tasks.
• Data Visualization: Strong skills in creating visual representations of data for stakeholders.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data handling.
• AI & Machine Learning: Experience with AI and machine learning concepts, including implementing predictive analytics or leveraging AI-powered tools for enhanced data insights.
• Experience:
• 8+ years of experience in data analysis and reporting roles.
• Proven ability to automate reporting processes using Python and SQL.
• Experience working with large data sets and providing meaningful insights from complex data.
• Demonstrated success in delivering accurate, actionable reports to business stakeholders.
• AI: Demonstrated ability to apply AI techniques for data analysis, such as developing predictive models, automating data classification, or enhancing reporting with AI-driven insights.
• Soft Skills:
• Strong analytical and problem-solving abilities.
• Excellent proficiency in using Microsoft Office Applications (i.e. Excel, Words, PowerPoint, Outlook etc.).
• Excellent communication skills, with the ability to explain complex data in simple terms.
• Attention to detail and a commitment to delivering high-quality work.
• Ability to work collaboratively across teams and manage multiple projects.
• Preferred Skills:
• Experience with version control systems (e.g., Git).
• Knowledge of statistical analysis and machine learning models.
• Knowledge on Vehicle System
• Familiarity with data governance and best practices for data security.

Qualifications

Graduate/ Post Graduate in Computer Science/ Information Science / Electronics or equivalent

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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