Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.
Key Responsibilities
- Architectural Leadership: Lead the design of high-level data architectures in Multi-Cloud environments (Azure and GCP) specifically for IIoT (Industrial Internet of Things) and manufacturing execution systems.
- Industrial Data Modernization: Oversee the migration of legacy factory data systems to unified storage platforms like Hadoop and Databricks.
- Smart Manufacturing Insights: Build visualization frameworks in Tableau to track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.
- Predictive Analytics: Utilize Spark, PySpark, and Python to develop models for predictive maintenance and demand forecasting.
- End-to-End Delivery: Manage the full SDLC for high-impact projects, ensuring data integrity and security across global manufacturing sites.
- Strategic Mentorship: Guide technical teams across onshore and offshore models, fostering excellence in data engineering and industrial AI.
Requirements
- Manufacturing Domain Expertise: Proven experience applying data solutions to manufacturing challenges, such as inventory optimization, shop-floor automation, or digital twins.
- Extensive IT Background: Over 18+ years of experience with a strong focus on Big Data ecosystems including Hadoop, Hive, and Spark.
- Cloud Mastery: Deep expertise in Azure and GCP , supported by certifications in Data Engineering and Architecture.
- Technical Depth: Hands-on proficiency with Informatica , Kubernetes , and advanced SQL for complex data exploration.
- Education: A Master’s Degree in Software Engineering.
- Analytical Skills: Strong data processing and ETL experience using Python (NumPy/Pandas).
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Skills Required
- Proven experience applying data solutions to manufacturing challenges
- Over 18+ years of experience with a strong focus on Big Data ecosystems
- Deep expertise in Azure and GCP
- Hands-on proficiency with Informatica, Kubernetes, and advanced SQL
- A Master's Degree in Software Engineering
- Strong data processing and ETL experience using Python
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
