Analytics Lead Jobs

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. About the Role: In this role, you will leverage your technical expertise to set up and maintain an accurate and comprehensive database of doctor profiles and healthcare institutes. The ideal candidate will possess a high level of attention to detail and a strong ability to work with large data sets. A Day in the Life of a Provider Data Operations Associate: Utilize SQL to extract, manipulate, audit and analyze data Build and maintain detailed provider profiles by merging data from multiple sources, ensuring accuracy and consistency. Use Excel/Google spreadsheets to manage and update large datasets, create reports, and conduct data analysis Review and verify the accuracy of provider information to ensure all details are up-to-date, and address any gaps or inconsistencies through outreach Ensure all data privacy and compliance standards are met Skills & Qualifications: At least a bachelor’s degree from a reputed institution (good percentage or a minimum of 60% in 10th/12th/graduation and above) At least 2 years of work experience Relevant experience in d

Do work that matters. At AlertMedia, we're the leading Risk Intelligence and Response company helping organizations protect their people and businesses. Our mission is simple but critical: to save lives and minimize loss by identifying emerging threats worldwide and enabling timely communication when emergencies impact personal safety or business continuity. Everything we do is guided by our core values: We’re humans not robots Customers always come first We work better together Simplicity is our strength Our reputation is priceless Hard work pays off AlertMedia is seeking a Strategic Intelligence Analyst ( Shift: Tues-Sat, 9am-5pm CT) to join our Global Intelligence team. This role will focus primarily on the Americas region, including the United States, Canada, Mexico, Central America, South America, and the Caribbean. This role will play a critical part in helping customers understand and prepare for events and emerging risks that may impact their people, operations, and business continuity. As a Strategic Intelligence Analyst, you will leverage open-source intelligence, analytical tradecraft, and a variety of intelligence sources to identify, assess, and communicate risks associated with future events, geopolitical developments, evolving global trends, and activist movements. A primary focus of this role will be monitoring and assessing planned and emerging events across the Americas, including demonstrations, protests, labor actions, counter-protests, political rallies, major public gatherings, and other activity that may create operational, travel, safety, or reputational impacts for organizations. Additionally, you will serve as a regional intelligence resource for the Americas, monitoring the region for significant developments; elections and transition periods; political activity; organized crime and cartel-related security trends; border, migration, and transport issues; and emerging trends that may affect customers and their employees. In addi

We are looking for a Portfolio Research Analyst to join our fast-paced and entrepreneurial Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We combine quantitative research with leading-edge technology to develop our unique algorithmic investment strategies. A culture of innovation, growth and success through collaboration and mutual respect has enabled us to deliver top tier performance for over two decades. This is a role within the Portfolio Construction group responsible for the construction of optimal portfolios and desired trades for those portfolios. You will be contributing to the ongoing advancement of our in-house equity portfolio optimization framework that directly drives our daily investment decisions for delivering exceptional portfolio performance over the long term. You will possess an understanding of the key drivers of equity portfolio construction, including equity forecasts, risk management, and transaction cost management. We are based in beautiful Vancouver, Canada; our team embraces the lifestyle and activities that life in Vancouver awards. What You Will Do This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to portfolio construction. You will work with key decision makers on the team and have a broad range of responsibilities, including: Research and development – Conduct projects to enhance the portfolio optimization solutions by applying a variety of skills and techniques in finance, mathematical optimization, and statistics. Portfolio oversight – Monitor portfolio characteristics and ensure consistency with investment strategy and guidelines. Performance analysis – Conduct in-depth portfolio performance attribution to support decision making, performance evaluation, idea g

Toronto, ON Want to work at a multinational investment bank? Join mthree as a Production Support Analyst and fast-track your career by working with one of our leading global banking clients in Toronto. You’ll support critical Capital Markets trading systems in a fast-paced commodities and futures environment, working closely with front office users to ensure stability, performance, and continuous improvement of production platforms. What you’ll do: This role focuses on supporting large-scale production systems within Capital Markets, ensuring end-to-end stability of trading applications while driving operational excellence. Provide specialized application support for Capital Markets trading platforms (approx. 60%) Perform end-of-day monitoring, incident management, root cause analysis, and problem resolution Support commodities and futures trading activities including trade flow/STP, P&L valuation, and breaks Work directly with Front Office business users in a high-pressure trading environment Monitor and support market data feeds and core trading applications Analyze existing systems and liaise with Business and Development teams to drive system improvements Manage user access and entitlements (approx. 20%) Coordinate with internal teams and external vendors (approx. 20%) Participate in weekend work as required for projects, releases, and disaster recovery testing Provide 24x7 on-call support based on assigned shift for end-of-day monitoring Deliver to tight timelines in a fast-paced trading environment What we’re looking for: (must have) Experience working in the financial services industry, ideally within Capital Markets / Futures Strong knowledge of Commodities and Futures products Proven experience supporting large-scale production systems Hands-on experience with end-of-day processing, monitoring, incident management, and root cause analysis Understanding of trade lifecycle concepts (trade flow/STP, P&L valuation, breaks) Experience with tools such as

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native:

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Senior Data Consultant Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner... What will you be doing? ● Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. ● In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. ● You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? ● You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. ● Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. ● We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. ● You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,...). Artefact is the place to be: come and build the future of data and marketing! Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What will you be doing? Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…). Artefact is the place to be: come and build the future of data and marketing! Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration : We believe in bringing talented people together

Role Summary : A Customer Support Analyst Level II works within the Customer Support Center to meet the needs of GHX's important customers. The CSA-II will develop a strong working knowledge of our leading edge GHX Internet B2B exchange system and growth products, the Customer Support knowledge base, and Customer Support administrative tools. With this knowledge and tools, the CSA-II will answer customer's questions, assist customers in using the functions of the system, and help them when they have problems in using or connecting to the system. Extensive collaborative troubleshooting and problem solving may be required at times. CSA-II will perform these activities with the help of guidelines to assure efficiency, reliability, and quality. The CSA- II works on problems of diverse scope where analysis of situations requires technical expertise and the use of logical diagnostic skills, including a strong working knowledge of EDI-X12. Roles & Responsibilities: Acts as a primary point of contact at GHX for its customers who reach out to GHX via telephone, email, and the GHX Community Web Portal. Works directly with customers to help meet their needs and solve their problems, including systems, specific products, and general information. Works cooperatively with other team members and departments to develop effective and timely solutions for customers. Utilizes Customer Relationship Management System ‘Salesforce’ to record and research customer information and to record all the customer's questions, problems, and solutions. Uses the Customer Support Knowledge Base to assist customers and provide immediate resolution to their problems. Contributes to the Customer Support Knowledge Base in order to provide symptom and resolution information about new issues and update information for known issues. Understands the roles and skillsets of peers and extended departments in order to effectively escalate issues that cannot be resolved during live customer call. Provides ass

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu

Role Overview You’ll be a strategic HR Business Partner, working closely with leaders to shape how people are hired, developed, motivated, and retained. In this role, you’ll support Customer Support, Customer Success, and Professional Services teams while turning people and organizational insights into clear, practical actions that strengthen performance and culture. You’ll advise leaders on organizational design, coach managers, and use data to identify trends before they become issues. You’ll also be the go-to partner for employee relations in India, helping resolve complex situations with sound judgment, empathy, and a strong understanding of local employment law. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Partner with business leaders as a trusted advisor on organizational effectiveness, workforce planning, and people strategies. Use qualitative and quantitative data to identify trends, inform decisions, and translate analysis into clear priorities and actions. Lead and resolve complex employee relations matters in India, ensuring fair, compliant, and timely outcomes. Design, improve, and deliver programs across performance management, career development, coaching, and recognition to support managers and individual contributors. Drive key HR cycles, including performance, compensation, and talent reviews, within your business area while aligning with global standards and practices. Stay current on HR best practices and regulatory changes, and proactively guide leaders on their implications for teams. These are the essentials you’ll need to get an interview 5+ years of relevant experience as an HR Business Partner or in a similar HR role. Hands-on experience managing employee relations in India, including complex and sensitive cases. Proven ability to partner with and influence stakeholders at all levels, including senior leadership. Track record of managing multiple priorities in a fast-paced environment and delivering complex

Position Overview: We are seeking a strategic, data-driven leader with a deep understanding of sales processes, marketing strategies, and customer success to join the GTM Operations team. The Manager of GTM Operations (EMEA/APAC) is a critical, strategic partner to the VP of Sales in EMEA and APAC. You will foster collaboration and alignment among the entire commercial organization including Sales, Customer Success, Marketing, and Partnerships. The ideal candidate will have a proven track record of building scalable processes and leveraging AI to drive sustained revenue growth. Strong analytical and strategic planning capabilities are essential. Key Responsibilities: Commercial Strategy and Growth Partner with the Sales and Finance to develop and operationalize a commercial growth strategy, ensuring alignment between pipeline and bookings targets, capacity, headcount and budgets Translate complex data into actionable recommendations for Commercial leaders Develop and maintain segmentation models and sales coverage strategies that align to growth objectives, drive focus, and optimize rep productivity Forecasting & Pipeline Management Drive and evolve the sales forecasting framework, implementing a disciplined, data-driven forecast cadence across all theatres and segments Utilize Salesforce, GTM tools and data sets (snowflake) to drive predictability, pipeline conversion, stage hygiene, and deal inspection processes. Leverage AI and machine learning capabilities within the existing data stack (e.g., Snowflake, Salesforce) to enhance forecast accuracy, surface pipeline risk earlier, and automate routine reporting Deliver consistent r

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

Position Overview: The Senior Financial Analyst will play a critical role in supporting Diligent’ s financial planning and analysis efforts across assigned regions or business areas. This role provides deep insights and actionable recommendations that inform both strategic and operational decisions. The Senior Financial Analyst leads budgeting, forecasting, variance analysis, and financial modeling activities, while partnering closely with cross-functional teams and business leaders to drive performance and operational efficiency. The successful candidate demonstrates advanced analytical skills, strong business acumen, and the ability to influence stakeholders through clear, data-driven insights. Key Responsibilities Lead the design, maintenance, and enhancement of financial reporting packages, models, and dashboards to support business decision-making Analyze, consolidate, and interpret complex financial and operational data to identify trends, variances, and actionable business insights Drive budgeting, forecasting, and monthly/quarterly management reporting processes, ensuring alignment with company goals and financial statements Prepare and present financial materials for leadership and Board meetings, providing analysis and recommendations Partner with cross-functional teams (Accounting, Sales Operations, HR, Product, etc.) to support financial planning, process improvements, and strategic initiatives Perform advanced ad-hoc financial analyses to guide key operational and strategic decisions Identify opportunities to improve financial systems, tools, and processes for enhanced efficiency and data accuracy Mentor and provide guidance to junior analysts as needed, contributing to team development and knowledge sharing Required Experience/Skills 2-5 years of experience in financial reporting, analysis, or FP&A &nbs

In this role, you’ll coordinate and manage technical payroll accounting activities across Scale’s global footprint. You’ll manage the preparation, maintenance, processing, analysis and auditing of manual and automated payroll data, information, records and reports – ensuring accuracy and completeness of payroll transactions. You’ll also lead, train and provide guidance to internal and external partners, and serve as a clear point of contact for resolving payroll related inquiries. English fluency is required. You will: Support End-to-End Payroll Processing: Execute multi-frequency domestic and international payroll cycles, accurately managing all compensation inputs, deductions, and employee lifecycle changes. Compliance & Audits: Perform rigorous pre- and post-payroll audits, investigate and resolve discrepancies, and ensure strict adherence to all multi-jurisdictional tax, labor, and company regulations. Accounting & Reporting: Support payroll accounting functions, including month-end close, reconciliations, journal entries, management reporting, and year-end tax activities (e.g., W-2s). Employee Support & Vendor Management: Operate the payroll help desk as the primary resource for employee inquiries and coordinate daily with external vendors, PEO/EOR partners, and tax agencies. Systems & Process Optimization: Leverage HRIS and modern technologies (including AI tools) to maintain confidential records, adapt to legislative changes, and continuously improve workflow efficiency and accuracy. Ideally you'd have: Experience executing multi-frequency domestic and international payroll cycles, managing compensation inputs, deductions, and employee lifecycle changes. Perform pre- and post-payroll audits, resolve discrepancies, and ensure compliance with multi-jurisdictional tax, labor, and company regulations. Manage payroll accounting: month-end close, reconciliations, journal entries, management reporting, and year-end tax activities (e.g., W-2s).