Search the 103 jobs at Tiger Analytics

As a Senior Data Scientist, you will leverage AI, machine learning, and data mining to design and build advanced analytics engines. You will collaborate with teams to define problems, develop scalable models, and advocate for data-driven decision-making while mentoring a team of Data Scientists.

The Lead - Human Resources will support various HR activities including onboarding, performance management, diversity and inclusion initiatives, compensation management, and employee engagement. They will also enhance HR offerings and assist with compliance and payroll management.

The Consultant - FP&A will provide financial planning and analysis support, collaborate with finance teams on metrics and goals, develop financial reports, identify business challenges, and drive corporate projects while building relationships across the organization.

As a Data Analytics Consultant, you will work directly with clients to define business problems and analysis requirements. You will use analytical skills to manage data, create reports, and communicate results effectively while ensuring business value is achieved.

The Azure PaaS Product Manager will develop and launch new products and services tailored to customer needs, collaborating with cross-functional teams for timely and quality delivery. Responsibilities include executing product launch plans, managing product budgets, and maintaining relationships with key stakeholders, focusing mainly on the Azure PaaS marketplace and product requirements.

The role involves managing marketing campaigns for the consumer lending/cards business, ensuring accurate end-to-end execution and timely delivery. Responsibilities include applying data science techniques, collaborating with stakeholders to design analytic solutions, and managing analytics projects with global teams.

The Principal Data Scientist will lead analytics efforts in the Marketing analytics team for the CPG sector. Responsibilities include developing actionable insights, working on Market Mix Modeling, engaging with clients to translate business questions into data models, and driving innovative solutions. The role requires strong communication and analytical skills, as well as hands-on experience with various data analytics tools.

The Data Engineer will design, develop, and maintain scalable data pipelines, implement and optimize distributed data processing solutions, and collaborate with data scientists to operationalize ML models while ensuring data quality and reliability.

The Manager/Sr Manager of Analytics will oversee the coordination with functional teams and stakeholders, managing Agile activities using Jira and Confluence, building data pipelines, and developing training for automation solutions. The role requires strong communication skills and experience in FP&A and managing complex software deployments.

The Master Data Management Leader will define, design, and build dimensional databases while ensuring adherence to data standards. The role involves stakeholder management and includes responsibilities such as metadata management, data migration, and data security.

As a Talent Acquisition Specialist, you will develop and execute recruitment strategies, manage the entire recruitment lifecycle, and mentor a recruitment team. You will build strong relationships with hiring managers and utilize recruitment data to improve processes, ensuring positive candidate experiences.

The role involves engaging with stakeholders to gather BI and dashboard requirements, analyzing business needs, constructing data models, and utilizing BI tools to create dashboards. The responsibility includes collaborating with teams to resolve client issues, ensuring data quality, and implementing risk mitigation strategies.

As a Principal Data Engineer, you will design and build data ingestion pipelines, conceptualize high-performance data processing, and collaborate with multiple teams to deliver analytical solutions using Azure and big data technologies. You will also ensure the quality and scalability of your code while engaging with stakeholders across the organization.

The Power BI Lead will focus on advanced analytics within the CPG sector, utilizing their expertise in database design, data visualization, and analytics to generate insights and business solutions. The role requires collaboration with executive stakeholders and hands-on experience with data warehousing and ETL processes.

The role involves designing and implementing data best practices on the Azure platform, utilizing tools for managing data, defining information lifecycle management practices, and developing data management tools for analytics. Strong communication and teamwork are essential.

The Data Engineering Recruitment Specialist will manage the end-to-end recruitment process for data analytics roles, build relationships with candidates, collaborate with hiring managers, and maintain candidate records in the ATS while delivering an excellent candidate experience.

As an Analytics Consultant, you will lead marketing and campaign management for the consumer lending/cards business, managing the end-to-end execution of campaigns and ensuring timely delivery while collaborating with various stakeholders.

The Data Science Growth Leader will drive business development and growth initiatives in AI and ML, develop enterprise-level data science solutions, mentor teams, and work closely with clients to translate their needs into actionable insights.

The Data Engineer will architect, design, and implement advanced analytics capabilities while building and deploying large-scale data processing pipelines. Responsibilities include optimizing complex data processing and transformation pipelines, creating self-service dashboards, and collaborating with cross-functional teams to generate insights that drive business value.

As a UiPath Automation Architect, you will design and implement automation solutions using Azure and UiPath for digital transformation, optimize operational efficiency, and provide mentorship to development teams. Your role includes collaborating with stakeholders, leading automation projects, and ensuring adherence to best practices.