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We're committed to bringing passion and customer focus to the business.
Key Responsibilities:
1. 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.
2. 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.
3. . 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.
5. 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.
6. 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:
1. Technical Skills:
a. Data Analysis: Proficiency in data analysis using Python (Pandas, NumPy) and data extraction and manipulation.
b. Reporting Tools: Experience with reporting and business intelligence tools like Power BI, Qlik, or similar.
c. ETL: Familiarity with ETL processes to automate data integration tasks.
d. Data Visualization: Strong skills in creating visual representations of data for stakeholders.
e. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data handling.
f. AI & Machine Learning: Experience with AI and machine learning concepts, including implementing predictive analytics or leveraging AI-powered tools for enhanced data insights.
2. 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.
3. 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.
4. 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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Skills Required
- 8+ years of experience in data analysis and reporting roles
- Proficiency in Python, including Pandas and NumPy, for data analysis and manipulation
- Experience with Power BI, Qlik, or similar business intelligence and reporting tools
- Familiarity with ETL processes and automated data integration
- Strong data visualization skills
- Familiarity with AWS, Azure, or Google Cloud
- Experience with AI and machine learning concepts and applications
- Proven ability to automate reporting processes using Python and SQL
- Experience working with large datasets and producing actionable business insights
- Demonstrated ability to apply AI techniques, including predictive modeling, data classification, or AI-driven reporting
- Strong analytical and problem-solving abilities
- Excellent proficiency with Microsoft Office applications
- Excellent communication skills for explaining complex data to nontechnical stakeholders
- Strong attention to detail and commitment to high-quality work
- Ability to collaborate across teams and manage multiple projects
- Graduate or postgraduate degree in Computer Science, Information Science, Electronics, or equivalent
- Experience with version control systems such as Git
- Knowledge of statistical analysis and machine learning models
- Knowledge of vehicle systems
- Familiarity with data governance and data security best practices
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
