Join Excelya, a dynamic and innovative company committed to excellence and collaboration in the field of translational research.

The eTMF Specialist plays a key role within the Clinical Development Platform by ensuring the quality, compliance, and inspection readiness of the electronic Trial Master File (eTMF) across global clinical trials.

This role requires strong expertise in clinical documentation management, close collaboration with cross‑functional teams, and active involvement in audits and inspections within a regulated environment.

Key responsibilities :

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real‑time streaming architectures using Kafka. This role drives alignment across business domains and enables high‑quality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Partner directly with the VP of Enterprise Analytics of our client to evaluate performance across our insurance, banking, and wealth management business lines. You will design forward-looking, non-traditional KPIs and recommend the enterprise-wide aggregation frameworks required to unify firm-level strategic decision-making.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Ontology Architect to lead high-impact applied Engineering and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role offers a great opportunity to contribute to a strategic EDMS transformation program within a global Quality environment. You will play a key role in analyzing complex data landscapes, supporting data-driven decision-making, and shaping the document migration strategy, while working in a highly collaborative and intellectually stimulating environment.

Key responsibiliities :

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are looking for an experienced Principal Architect – Databricks to lead the architecture and design of enterprise-scale data platforms and Lakehouse solutions. The ideal candidate will bring deep expertise in Databricks, modern data engineering, cloud data platforms, and enterprise data architecture, along with the ability to translate complex business requirements into scalable, secure, and cost-effective solutions.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties:

About the Role

We are seeking an experienced Senior Databricks Data Quality Engineer to lead the design, implementation, and automation of enterprise-scale data quality frameworks within a Databricks environment. The successful candidate will play a key role in establishing data quality controls, profiling frameworks, remediation processes, and AI-assisted quality monitoring across a large-scale data platform consisting of 170+ datasets and over 1,300 Critical Data Elements (CDEs).

This role requires strong expertise in Databricks, PySpark, Delta Lake, MLflow, and modern data quality management practices.

Gritter Francona is seeking an IT Asset Management Subject Matter Expert to support a federal Information Technology Asset Management (ITAM) program. This role will serve as the lead ITAM knowledge resource for an enterprise effort focused on strengthening hardware asset management, software asset management, lifecycle governance, policy alignment, operational processes, data quality, compliance, and strategic planning.

The IT Asset Management Subject Matter Expert will provide both strategic advisory support and hands-on expertise in process design, requirements analysis, policy documentation, governance development, roadmap planning, and future-state operating model development. The ideal candidate has deep experience across both hardware asset management and software asset management and can help stakeholders translate complex ITAM challenges into practical, scalable, and compliant solutions.

Responsibilities

Gritter Francona is seeking an IT Asset Management Research & Data Analyst to support a federal Information Technology Asset Management (ITAM) program. This role will provide data analysis, reporting, dashboarding, and performance measurement support for an enterprise ITAM effort focused on improving asset accountability, lifecycle visibility, data quality, compliance, and operational decision-making.

The Research & Data Analyst will analyze ITAM-related data across hardware asset management and software asset management workstreams, develop reports and visualizations, identify trends and anomalies, and support data-driven recommendations for program leadership. The ideal candidate is a strong data analyst who can work with large or complex datasets, translate data into clear insights, and produce accurate, client-ready reporting products.

Responsibilities