Consultant / Senior Consultant - Analytics Consulting

Tiger Analytics is a rapidly expanding advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We pride ourselves on being the analytics partner of choice for multiple Fortune 100 companies, helping them derive significant business value from their data. Our leadership and business impact have been acknowledged by prominent market research entities, including Forrester and Gartner. We are on the lookout for exceptional talent to enhance our global analytics consulting team.We are currently seeking a highly skilled Data Engineer with extensive experience in Dataiku to join our dynamic data team. In this pivotal role, you will be responsible for designing, constructing, and sustaining robust data pipelines, integration processes, and infrastructure. Your collaboration with data scientists, analysts, and other key stakeholders will be essential to ensure a seamless flow of data and to facilitate data-driven decision-making throughout the organization.

Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.

Location: Remote , Toronto, Ontario, Canada About Tiger Analytics Tiger Analytics develops custom data and technology solutions for organizations worldwide, including many Fortune 100 companies. The company operates from offices in the US, UK, India, and Singapore, and maintains a significant remote team. Tiger Analytics focuses on AI and advanced analytics, with a collaborative and inclusive culture. Focus on CPG and Retail More than 40% of Tiger Analytics’ revenue comes from the Consumer Packaged Goods (CPG) and retail sectors. The company continues to invest in talent and expertise to support rapid growth in these industries. Role Overview: Senior Data Scientist – Pricing Optimization This position leads the Pricing and Promotion Optimization team. The Senior Data Scientist will shape and implement strategies to improve pricing and promotional outcomes for clients. The role requires experience in product management, analytics-driven decision-making, and cross-functional leadership, along with a strong background in roadmap planning. Key Responsibilities Lead the Pricing and Promotion Optimization team for CPG and retail projects Develop and execute product strategies that improve pricing and promotional effectiveness Apply analytics to drive decision-making and business outcomes Plan and manage product roadmaps Collaborate with cross-functional teams to deliver solutions What Tiger Analytics Looks For Extensive experience in product management, especially with analytics-driven approaches Proven ability to lead teams and manage complex projects Strong background in pricing, promotion, or related optimization work

Tiger Analytics is a premier advanced analytics consulting firm, recognized as a trusted partner to numerous Fortune 100 companies. We empower businesses to derive significant value from their data through our deep expertise in Data Science, Machine Learning, and Artificial Intelligence. Our leadership and contributions in the field have been acknowledged by industry leaders such as Forrester and Gartner.We are seeking an individual who possesses a strong combination of business consulting acumen and a solid background in data analytics.Key Responsibilities:Leverage cutting-edge data science applications to address complex business challenges.Engage directly with client stakeholders to translate business needs into comprehensive analytics solutions.Effectively present analytical strategies to diverse business audiences, emphasizing the value and reliability of the proposed solutions.Design and implement end-to-end analytics solutions based on a thorough understanding of business problems to ensure efficient and sustainable delivery.Lead analytics projects while fostering collaboration with client stakeholders and global Tiger Analytics teams.Collaborate with team members to identify and implement relevant analytical techniques that yield actionable business insights.Deliver presentations to senior management, relay results to business teams, and develop strategies to integrate analytics into operational processes.

Join our dynamic team at Tiger Analytics as a Senior Data Scientist specializing in Demand Planning and Forecasting. In this pivotal role, you will leverage advanced analytical techniques to drive strategic decision-making and optimize supply chain operations. Your expertise in predictive modeling, statistical analysis, and machine learning will be instrumental in enhancing our clients' forecasting capabilities.As a key contributor, you will collaborate with cross-functional teams to identify opportunities for improvement, design innovative solutions, and communicate findings to stakeholders effectively. Your insights will help shape the future of data-driven decision-making within our organization.

Join our dynamic team as a Data Product Manager at Tiger Analytics, where you will lead transformative data initiatives and drive product strategy. In this role, you will collaborate with cross-functional teams to develop innovative solutions that leverage data analytics to enhance business outcomes.

Role Overview Tiger Analytics is hiring a Manager of Talent Acquisition - Analytics. This remote position is based in Toronto, Ontario, Canada. The role centers on shaping and executing the company’s recruitment strategy for analytics professionals. What You Will Do Lead recruitment initiatives aimed at attracting skilled analytics talent. Work closely with stakeholders to refine and improve hiring processes. Support efforts to build and maintain a diverse, high-performing team. Apply expertise in analytics and talent acquisition to identify, engage, and secure top candidates. Location Remote role based in Toronto, Ontario, Canada.

Tiger Analytics stands at the forefront of AI and advanced analytics consulting, dedicated to helping Fortune 1000 companies tackle their most challenging business hurdles. Our mission is to redefine the potential of AI, delivering data-driven insights for a promising future. With a dynamic team of over 6,000 experts spanning five continents, we are committed to crafting innovative machine learning and data solutions on a global scale. Join us in making a significant impact and shaping the future of enterprise AI.As a Senior Agentic AI Engineer, you will be instrumental in fostering ideation, rapid prototyping, and the early-stage development of AI and GenAI initiatives. Our approach centers around customer-centricity and a human-centered perspective, guiding you to navigate the entire innovation lifecycle—from identifying problems to developing proof-of-concepts and transitioning to pilot phases. You will collaborate closely with business partners, platform engineers, product teams, and researchers.This role is highly interactive and hands-on, serving as a bridge between conceptualization and execution—utilizing platform capabilities, reference architectures, standards, and starter kits. You will significantly contribute to strategy formulation and recommendations through experimental assessments, effectively presenting insights to stakeholders with clarity and influence. Strong storytelling abilities and proficiency in creating engaging slide decks and pitch presentations are crucial for success in this position.

Tiger Analytics is a premier analytics consulting firm recognized for its expertise in transforming data into actionable insights. As a trusted partner for multiple Fortune 100 companies, we empower organizations to harness the power of data through advanced analytics, machine learning, and AI solutions. Our accomplishments have garnered accolades from leading market research firms, including Forrester and Gartner.In the capacity of Senior AI Business Process Engineer within our Data Solutions Team, you will play a pivotal role in reevaluating and reinventing essential business processes to facilitate automation and AI integration. This position calls for a blend of business process acumen and technical proficiency, enabling you to model, implement, and advocate for revamped processes. You will analyze existing workflows, prioritize opportunities for enhancement, and oversee the progression of initiatives from ideation to realization while engaging and influencing various stakeholders. Your efforts will ensure that processes are not only scalable and AI-ready but also compatible with our Process Orchestration Engine, thereby maximizing the potential of decision automation and AI agents. By establishing a continuous feedback mechanism, you will monitor and evaluate the efficacy of implemented processes and make necessary adjustments. This role is intricately linked to our enterprise data foundation, leveraging a robust semantic data model to ensure that redesigned processes adhere to company-wide data standards and yield optimal value. You must be prepared to rethink processes fundamentally and possess the audacity to suggest innovative changes that challenge conventional norms.

Tiger Analytics is a premier advanced analytics consulting firm that partners with Fortune 100 companies to unlock the true potential of their data. Our team of expert consultants specializes in Data Science, Machine Learning, and Artificial Intelligence, and has been recognized by leading market research firms like Forrester and Gartner for our significant business impact.We are currently looking for a highly skilled Onshore Consultant with extensive expertise in the Life Sciences domain. This role will involve close collaboration with client stakeholders to translate complex business requirements into actionable project plans. You will also work in partnership with our offshore teams to deliver top-notch analytical solutions.Key Responsibilities:Collaborate with client teams to gather, analyze, and document business and analytical requirements.Translate client specifications into clear directives for offshore delivery teams.Serve as the primary onshore contact for project coordination and execution.Oversee project management, deliver client presentations, and provide regular updates on project status.Utilize basic SQL queries for data extraction and analysis to support business insights.Convert client requests into precise project requirements and solution approaches.Work effectively with offshore teams to ensure timely and quality delivery.Proactively engage with clients to discuss relevant solutions based on Tiger’s capabilities.Qualifications:5–8 years of professional experience in the Oncology and/or Life Sciences domain.Exceptional requirement-gathering and client-facing consulting skills.Hands-on experience with basic SQL and data analysis.Proven track record of successful collaboration with offshore delivery teams.Strong communication and presentation abilities.Capability to manage multiple workstreams in a dynamic environment.Experience operating within global delivery models.Familiarity with analytics platforms, reporting tools, or data ecosystems in the Life Sciences sector.Benefits:As a part of Tiger Analytics, you will find extensive career development opportunities within a vibrant and entrepreneurial environment. This position offers the chance to contribute to a rapidly growing company while enjoying a high degree of individual responsibility.

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership in the analytics space, we are on the lookout for exceptional talent to help build the world’s premier analytics consulting team.We are currently seeking a skilled Data Engineer proficient in Dataiku to join our innovative data team. In this role, you will design, construct, and maintain data pipelines, integration processes, and infrastructure. Working closely with data scientists, analysts, and other key stakeholders, you will facilitate efficient data flow and empower data-driven decision-making throughout the organization.

Tiger Analytics is a leading analytics consulting firm that partners with several Fortune 100 companies, empowering them to derive significant business insights from their data. Our team consists of highly skilled consultants with extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We have received recognition from renowned market research firms such as Forrester and Gartner for our innovative approaches and leadership in the analytics space.We are seeking passionate and driven Machine Learning Engineers to join our dynamic team.In this role, you will:Develop and implement solutions for deploying, executing, validating, monitoring, and enhancing data science initiatives.Design scalable and high-performance machine learning systems.Create reusable data pipelines for the seamless integration of machine learning models.Produce high-quality production code and libraries that can be containerized for deployment.

Tiger Analytics stands at the forefront of AI and advanced analytics consulting, enabling Fortune 1000 companies to tackle their most pressing business challenges. Our mission is to redefine the potential of AI, delivering data-driven insights for a brighter future. With a diverse team of over 6,000 experts across five continents, we create cutting-edge machine learning and data solutions at scale. Join us to make a significant impact and help shape the future of enterprise AI.We are seeking a talented Generative AI Engineer with substantial hands-on experience in designing, evaluating, and implementing advanced Generative AI systems. The ideal candidate will possess in-depth knowledge of agentic frameworks, model fine-tuning, and reinforcement learning, with a strong emphasis on reliability and mitigating hallucinations beyond prompt engineering.

Tiger Analytics is on the lookout for a talented and forward-thinking Machine Learning Engineer with practical experience in Google Cloud Platform (GCP) and Vertex AI. In this role, you will be pivotal in designing, developing, and implementing robust ML solutions. You will oversee the end-to-end ML lifecycle, encompassing data ingestion, model serving, and monitoring, ensuring seamless operationalization of machine learning models. Key Responsibilities: Develop, train, and refine ML models utilizing Vertex AI, including Vertex Pipelines, AutoML, and custom model training. Craft and establish scalable ML pipelines aimed at feature engineering, training, evaluation, and deployment. Deploy production models via Vertex AI endpoints and ensure integration with downstream applications or APIs. Collaborate effectively with data scientists, data engineers, and MLOps teams to create reproducible and reliable ML workflows. Monitor model performance, establishing alerting mechanisms, retraining triggers, and drift detection methods. Employ GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS within ML workflows. Implement CI/CD best practices for ML models utilizing Vertex AI Pipelines, Cloud Build, and GitOps. Enforce model governance, versioning, explainability, and security best practices in Vertex AI. Thoroughly document architecture decisions, workflows, and model lifecycles for internal stakeholders. Requirements:1. Advanced Generative AI - Advanced RAG including Graph-based hybrid retrieval - Multimodal agentIn-depth knowledge of ADK, Langchain Agentic FrameworksExperience in fine-tuning and distillation. 2. Proficiency in Python - Expert in Python with strong OOP and functional programming skills - Proficient in ML/DL libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, PySpark - Experience with production-grade code, testing, and performance optimization 3. GCP Cloud Architecture & Services - Proficiency in GCP services such as: - Vertex AI - BigQuery - Cloud Storage - Cloud Run - Cloud Functions - Pub/Sub - Dataproc - Dataflow - Understanding of IAM, VPC4. API Development & Integration - Design and build RESTful APIs using FastAPI or Flask - Integrate ML models into APIs for enhanced functionality.

Join Tiger Analytics as a Senior Manager or Associate Director in our Technology Consulting division specializing in Property and Casualty (P&C) Insurance. In this role, you will lead strategic initiatives to drive digital transformation, leveraging your expertise in technology solutions tailored for the insurance industry.Your keen analytical skills and strong leadership will empower teams to deliver innovative consulting services, ensuring we meet our clients' evolving needs in a competitive landscape.

Tiger Analytics is a premier analytics consulting firm recognized for transforming data into actionable business strategies. As a trusted partner to numerous Fortune 100 companies, we empower organizations to harness the full potential of data through our expertise in Data Science, Machine Learning, and AI. Our innovative approach has garnered accolades from leading market research firms such as Forrester and Gartner.We are actively seeking a dynamic individual who combines strong business consulting acumen with a solid background in data analytics. If you thrive on tackling complex business challenges with data-driven solutions, we want to connect with you.Key Responsibilities: Utilize cutting-edge data science applications to address business challenges within the Pharma and Lifescience sectors. Engage directly with client stakeholders to convert business challenges into strategic analytics solutions. Employ advanced analytics methodologies and best practices to facilitate data-driven decision-making. Leverage analytics to provide actionable insights, including ROI assessments, digital KPI tracking, and campaign performance evaluations. Utilize complex data for decision-making, with hands-on experience in data science techniques such as predictive analytics and machine learning, employing tools like R, Python, and Databricks, alongside proficiency in visualization platforms like Qlik, PowerBI, and Tableau. Possess familiarity with essential pharma data sources such as Veeva and IQVIA, including real-world data sources like TriNetX and Flatiron. Exhibit a proven ability to translate strategic insights into actionable plans, demonstrating excellent analytical skills and simplifying complex issues for diverse audiences. Collaborate with various management levels and consult with key business stakeholders. Present analytic solutions effectively to business audiences, emphasizing the value and robustness of the solutions. Contribute to team discussions to select appropriate analytic techniques and generate actionable business insights. Prepare and deliver presentations to senior management, effectively communicating results and strategies to operationalize analytics solutions. Qualifications:8 to 13 years of professional experience, with a minimum of 7 years dedicated to data analytics.In-depth understanding of pharma datasets, KPIs, and insights required across various HQ and field roles, including commercial, PSS, and market access.Strong SQL skills and practical experience with analytic tools such as R and Python, in addition to visualization tools like Power BI and Tableau.Comprehensive understanding of standard data sources, particularly pharmacy, HUB, CRM, and IQVIA datasets.

About the RoleVantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.This is a newly created position, reflecting our commitment to expanding our capabilities.

At Grafana Labs, we are a trailblazer in the world of open-source technology, with a thriving community of over 20 million users globally utilizing our powerful visualization tool, Grafana. Our software is pivotal in monitoring a diverse range of applications, from environmental changes to the intricacies of sports events like the Tour de France. Trusted by more than 3,000 leading organizations, including Bloomberg, JPMorgan Chase, and eBay, we provide exceptional solutions through our Grafana LGTM Stack, available via both Grafana Cloud and Grafana Enterprise Stack. We are rapidly expanding while staying true to our core values: an open-source heritage, a collaborative global culture, and a dedication to impactful work. Our team flourishes in an innovative atmosphere characterized by transparency, autonomy, and trust.If this role intrigues you, don’t hesitate to apply even if you don’t meet every single requirement. This could be a defining moment in your career.Note: This position is fully remote, and we are currently seeking applicants from Canadian time zones only.Senior Analytics EngineerAbout the Role:The Senior Analytics Engineer will play a crucial role in enabling our analysts and data-driven stakeholders by overseeing the architecture and infrastructure for data ingestion, transformation, testing, documentation, and connectivity across Grafana Labs. Effective collaboration with key stakeholders is essential to build a data stack that adapts to our business needs as we scale.Key Responsibilities:Manage and maintain the architecture and infrastructure of our data stack (including BigQuery, dbt, and Fivetran).Ensure the availability, accuracy, and accessibility of data essential for understanding and serving our stakeholders.Collaborate with teams such as GTM, Marketing, Finance, and BizApps to comprehend their data requirements and identify enhancements for our analytics stack.Become the primary expert on our data systems and processes.

About Tailscale Tailscale is revolutionizing the Internet by providing innovative software that seamlessly connects individuals and their devices securely, regardless of their location. From individual enthusiasts to large corporations, teams of all sizes rely on Tailscale daily to safeguard their networks and facilitate access to internal tools. We're committed to creating a simplified, sensible, and secure future for the Internet, reminiscent of its earlier days. Established in 2019 and operating fully remotely, we are supported by notable investors such as Accel, CRV, Insight, Heavybit, and Uncork Capital.Job DescriptionWe are seeking a proactive Analytics Engineer who excels in dynamic, complex environments and possesses a knack for clarifying ambiguity. You will become a vital member of our expanding data team, tackling various high-impact challenges across billing, finance, product, go-to-market (GTM), and business operations.If you are someone who poses insightful questions, delves deep to comprehend operational mechanics, and enjoys converting vaguely defined user issues into efficient, scalable data solutions, we want to hear from you. You will not shy away from questioning norms, re-evaluating processes, or navigating intricate systems. Your work will enhance team performance through pristine models, automated workflows, and dependable data.This position is ideal for an individual with substantial experience in delivering production-grade analytics engineering work, eager to expand their responsibilities and influence as our team grows.