Job
Description
Who are we? Prismforce (www.prismforce.com) is a Vertical SaaS product company solving critical challenges in the Talent Supply Chain faced by all Technology, R&D/ Engineering and IT Services companies globally. The product suite is powered by multiple artificial intelligence (AI/ ML) engines designed to accelerate business impact by digitizing core vertical workflows resulting in flexibility in operations, speed in decision making and much improved growth and profitability. Prismforce aspires to be the #1 industry cloud/ SaaS platform for tech services and tech talent organizations. What makes us different? We hold the first mover advantage in the Vertical SaaS space, specifically designed to tackle the Talent Supply Chain challenges of the IT services industry. Our innovative solution sets us apart, making us the go-to partner for IT services companies seeking to optimize their talent supply chain challenges. We are building distinctive products with futuristic features and clients have preferred us over traditional ERP and other point solutions. We are supported and mentored by an advisory board composed of ex CXOs from top Global IT companies and industry thought leaders. Our founding team comprises deep domain and tech and product experts who are Ex- McKinsey, Deloitte, Amazon, Infosys , TCS, Uber alums with a passion to reimagine this space with distinctive products. We've experienced rapid growth, expanding to a strong team of 150+ members across Mumbai/Pune/Bangalore & Pune locations. We are a Series A Sequoia funded startup with global IT companies as our clients in our second year of operations. Job Description Role: Data Analyst part of AIML Team Location: Mumbai/Bangalore/Pune/Kolkata Responsibilities Identify relevant data sources and combine multiple data streams to derive business insights. Automate data collection, cleaning, and reporting processes. Pre-process structured and unstructured datasets to make them analysis-ready. Work with large datasets to support business decision-making through insightful analytics. Build dashboards, reports, and visualizations to track KPIs and performance metrics. Collaborate with cross-functional teams including Product, Marketing, and Engineering to understand business needs and translate them into analytical solutions. Perform ad hoc and deep-dive analyses to support key strategic initiatives. Conduct A/B testing and cohort analysis to identify trends and optimize product performance. Assist in building scalable data pipelines and data models for regular reporting needs. Participate in problem-solving sessions and present data-driven recommendations to stakeholders. Requirements Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or related disciplines. 2–4 years of hands-on experience in a data analytics/data analysis role. Proficiency in SQL for data extraction, manipulation, and transformation. Solid understanding of Python for data analysis and automation (Pandas, NumPy, etc.). Strong Excel skills including formulas, pivot tables, and data visualization. Ability to work with large datasets and derive actionable insights. Excellent analytical and problem-solving abilities. Strong communication skills to present insights clearly to both technical and non-technical stakeholders. Self-starter with the ability to work in a fast-paced and collaborative environment. Visualization tool knowledge is preferred – Tableau, PowerBI, Micro Strategy, Looker Good to have: Experience with Mixpanel or other product analytics tools. Required Skills SQL, Python, Excel, Data Analysis, Data Cleaning, Data Visualization, Business Intelligence, Dashboarding, Reporting, Problem Solving, Stakeholder Management, Communication Skills, Product Analytics, A/B Testing, Cohort Analysis, Data Pipeline, Data Modeling, Mixpanel (Good to have). Show more Show less
