Job Title: Data Analyst – AIML Team
Experience Required: 2–4 years
Location: Bangalore, Mumbai, Pune, Kolkata
Job Type: Full-Time
Company: Prismforce
Website: www.prismforce.com
About Prismforce
Prismforce is a Vertical SaaS product company addressing the Talent Supply Chain challenges in the tech, R&D, and IT services industries.
The product suite is AI/ML powered, enabling faster decision-making and greater operational agility.
First-mover advantage in the Vertical SaaS space for IT services talent optimization.
Series A funded by Sequoia with global IT firms already on board.
Founded by experts from McKinsey, Deloitte, Amazon, Infosys, TCS, Uber, etc.
Rapidly growing team of 150+ across Mumbai, Pune, Bangalore, and Kolkata.
Known for innovative features that outperform traditional ERP and point solutions.
Key Responsibilities
Identify relevant data sources and integrate multiple datasets to generate insights.
Automate data collection, cleaning, and reporting workflows.
Pre-process both structured and unstructured datasets for analysis.
Work with large data volumes to support business decisions through analytics.
Design dashboards, reports, and visualizations for performance tracking.
Collaborate with cross-functional teams (Product, Marketing, Engineering) to translate business needs into analytical models.
Perform ad hoc and deep-dive analysis for strategic initiatives.
Conduct A/B testing and cohort analysis to improve product performance.
Build scalable data pipelines and data models for regular reporting.
Present data-driven recommendations to stakeholders.
Requirements
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
2–4 years of hands-on experience in data analytics or data analysis.
Strong SQL skills for data extraction, transformation, and manipulation.
Proficiency in Python for data analysis (using libraries like Pandas, NumPy).
Strong Excel skills (formulas, pivot tables, data visualization).
Ability to analyze large datasets and generate actionable insights.
Excellent problem-solving and analytical skills.
Effective communication skills for presenting to technical and non-technical audiences.
Experience with visualization tools like Tableau, Power BI, Looker, or MicroStrategy (preferred).
Experience with product analytics tools like Mixpanel is a plus.
Key Skills
1. SQL
2. Python
3. Excel
4. Data Cleaning
5. Data Analysis
6. Data Visualization
7. Dashboarding
8. Business Intelligence
9. Reporting
10. A/B Testing
11. Cohort Analysis
12. Data Modeling
13. Data Pipelines
14. Communication Skills
15. Stakeholder Management
16. Mixpanel (Nice to Have)
