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. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

If you are passionate about leveraging analytics consulting to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics.

InfyStrat is looking for a proficient Data Engineer to strengthen our data team. In this role, you will be integral in designing and implementing data pipelines that facilitate the efficient extraction, transformation, and loading (ETL) of data across various platforms. You will collaborate with data analysts, scientists, and business units to provide reliable and accurate datasets to drive decision-making processes. The ideal candidate should possess a combination of technical proficiency and creativity to solve complex data challenges. We foster a culture of innovation at InfyStrat, where the contributions of our team members are essential to transforming our data into valuable insights. Join us to help build data solutions that empower our business growth.

Key Responsibilities

• Design, implement, and manage ETL processes to collect and transform data from diverse sources.
• Develop and maintain data models, ensuring they meet business needs and performance requirements.
• Optimize database performance and troubleshoot data-related issues.
• Collaborate with stakeholders to identify data needs and develop solutions accordingly.
• Implement data quality monitoring and validation to maintain data integrity.
• Keep up with industry trends and emerging technologies to continually enhance data engineering practices.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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 has been recognized by various market research firms, including Forrester and Gartner.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python, and ETL processes. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.

Responsibilities

Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform.

Requirements

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Senior Data Scientist - B2B based in Europe or Asia.

As a Senior Data Scientist, you will join a distributed team focused on unlocking insights that power data-driven decisions for B2B initiatives. You’ll work closely with other data scientists and engineers to explore user behavior, design impactful experiments, and develop strategic models that improve customer acquisition, retention, and product development. Your work will directly shape how professionals use digital tools at scale in a rapidly growing market segment. The team values autonomy, documentation, and async-first collaboration, with flexibility for remote work and timezone balance.

Accountabilities:

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Data QA is an important function within Zyte. The Data QA team works to ensure that the quality and usability of the data scraped by our web scrapers meets and exceeds the expectations of our enterprise clients. 

Are you passionate about data and data quality and integrity?

Do you enjoy using Python and AI to analyze and manipulate data, detect data quality issues, and visualize your findings?

Are you highly customer-focused with excellent attention to detail?

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer in US / Canada.

We are looking for a Senior Software Engineer to help build scalable, data-intensive applications that power mission-critical systems. In this role, you will work on designing ETL pipelines, building high-performance APIs, and transforming large volumes of raw data into impactful products. You’ll collaborate with cross-functional teams including data science, product, and engineering, and contribute to backend infrastructure and data platform initiatives. This role is ideal for engineers with strong backend and data engineering experience, a passion for performance and scalability, and a hands-on approach to building systems from the ground up.

Accountabilities:

·         Design and implement ETL pipelines capable of processing large-scale datasets efficiently.

·         Build and maintain robust APIs for data retrieval, including support for complex query types.

·         Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.

·         Transform raw data into structured, high-value data products to support business and operational decisions.

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Revenue Operations Analyst in the United States.

This is a high-impact opportunity for a strategic and data-driven professional to support and guide revenue growth initiatives. As a Senior Revenue Operations Analyst, you’ll work closely with sales, service, and leadership teams to analyze performance trends, identify opportunities, and drive operational excellence. Your work will be crucial in shaping go-to-market strategies, enhancing productivity, and optimizing organizational structure during a time of rapid growth. This role blends analytics, collaboration, and execution—and is ideal for someone passionate about revenue strategy and transformation.

Accountabilities:

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Scientist in United States.

This is a high-impact role on the Demand Analytics team, where you'll support marketing strategy through rigorous data analysis and machine learning. You will develop and maintain models that evaluate marketing performance and inform optimization decisions across channels. Collaborating closely with marketing and analytics stakeholders, you’ll shape strategies through experimentation, causal inference, and deep exploratory analysis. The ideal candidate brings a balance of technical expertise, curiosity, and strong communication to bridge data insights with actionable business decisions.

Accountabilities:

InfyStrat is looking for a detail-oriented Data Analyst to join our growing team. In this role, you will be responsible for collecting, analyzing, and interpreting complex datasets to provide actionable insights that drive business strategies. You will work closely with various departments to understand their data requirements and deliver thorough reports that facilitate data-driven decision-making. The ideal candidate will possess strong analytical skills and a passion for turning data into meaningful information. At InfyStrat, we value innovation and collaboration and are committed to helping our employees grow in their careers. If you are a proactive problem solver with a knack for storytelling through data, we encourage you to apply.

Responsibilities

• Collect and analyze data from multiple sources to identify trends, patterns, and insights.
• Prepare and present detailed reports and dashboards for various stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Utilize statistical methods and data visualization techniques to convey findings effectively.
• Ensure data accuracy and integrity through regular audits and data validation.
• Stay updated on industry trends and best practices in data analysis.

Requirements