Data And Reporting Professional 2 Jobs

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Why this role? We're hiring a People Operations Manager to own our People data and the reporting built on top of it, alongside a slice of the operational work that generates it. Cohere is scaling fast and leadership needs numbers they can trust. Today those numbers take too long to produce and they don't

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Specialist, Product Express Reporting and Analytics Job Title Specialist - Product Express Reporting and Analytics Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Product Express is a no-code process orchestration and data capture platform. Product Express makes it simple, fast and transparent for Customers to adopt Mastercard products and services, directly and/or with our ecosystem partners. Customers can easily select the best payment solutions for their needs, quickly identify the right partners to implement them – when partners are relevant, and progress from application to launch with full transparency at every step. Part of Mastercard Optimization tea

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team It’s an exciting time to join our rapidly growing Accounting team with ample development opportunities. We're growing the Revenue Data team with Engineering and Accounting Data openings to drive automation and systems infrastructure. All whilst while keeping pace within one of the fastest growing marketplace companies globally. About the Role The Engineer for Accounting Infrastructure and Systems designs, builds, and maintains the scalable backend services, data pipelines, and integrations that power DoorDash / Deliveroo's accounting, reconciliation, and financial reporting workflows. Working closely with Finance, Accounting, and fellow engineers, this role translates complex financial and regulatory requirements into reliable, automated systems that ensure accuracy, auditability, and compliance at scale. The ideal candidate brings strong distributed-systems and data engineering expertise along with a solid understanding of financial processes, and takes technical ownership of critical projects while mentoring junior engineers and helping shape the team's architecture and best practices. You're excited about this opportunity because you will… Take technical ownership of critical accounting infrastructure projects — designing and building the backend services, data pipelines, and integrations that power DoorDash's financial reporting, reconciliation, and close workflows at scale. Partner directly with Finance and Accounting stakeholders to translate complex financial and regulatory requirements into reliable, auditable, and automated systems. Shape the team's architecture and engineering best practices, mentoring junior engineers and raising the technica

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role As a Senior Software Engineer on Loan Origination and Reporting, you’ll build and scale the data platforms and services that process loan originations in real time and deliver accurate reporting to Affirm and its financial partners, strengthening the core financial engine behind transparent, reliable ways to pay over time. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You

Credit Risk Senior Analyst We are a rapidly growing company that’s revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. The Fintech Risk team at Toast is responsible for driving risk informed growth for the rapidly expanding Toast Fintech line of business. We are seeking a Lead Credit Risk Strategist as part of the team, with a focus on the portfolio risk management space. You will partner with cross-functional analysts and senior leadership to decode complex portfolio risk trends, refine our loss forecasting models, develop and oversee line management strategies for credit cards and other revolving products, and build the early-warning defenses that allow us to stay resilient under stress and profitable in any market cycle. If you have an analytic and data driven mindset, eye for detail and can-do attitude then you are right for this position. Responsibilities : CECL Reporting : Oversee the monthly CECL calculations and reporting process, collaborating closely with accounting and strategic finance teams to ensure the robustness of methodology and accuracy of loss reserve calculations. Loss Forecasting: Refine existing loss forecasting models / methodologies which feed into monthly CECL calculations, to improve the overall accuracy and stability of forecasts. Develop loss projection and expected loss estimation methodologies for revolving products (e.g. credit card). Portfolio Risk Strategy : Define, implement, and continuously improve the portfolio risk management strategy (including collections), ensuring alignment with company appetite. Risk Reportin

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously an

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about turning data into actionable business insights. The ideal candidate combines strong technical expertise with critical thinking and exceptional communication skills. This role requires someone who can work independently, uncover meaningful patterns in complex datasets, and communicate findings in a way that drives informed business decisions. *The Data Analyst will be a hybrid role, 50% onsite in the Fort Worth, TX office and 50% remote. The candidate for this role must be within commutable distance to the office location. Primary Responsibilities: Extract, clean, transform, and validate data from multiple sources, including relational databases. Write efficient SQL queries to retrieve, manipulate, and analyze large datasets. Develop Python-based data analysis workflows for data exploration, modeling, and reporting. Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis. Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations. Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes. Build and evaluate machine learning models, including: Regression Classification Clustering Decision Trees Supervised Learning Unsupervised Learning Investigate data anomalies and independently determine the root causes behind unexpected results. Identify the most relevant data elements, metrics, and business questions without requiring extensive direction. Translate complex analytical findings into clear, compelling presentations and recommen

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support. What you’ll do In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll design, build, and own the scalable data infrastructure that powers analytics and reporting across the company. Day to day, you'll translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and work with leaders to prioritize the highest-impact data investments. You'll go beyond building dashboards—you'll architect the data layer that makes self-service analytics possible and deliver actionable business recommendations through rigorous analysis and data storytelling. Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance Leverage AI tools (code assistants, L

About the Team OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem. The Scaling Analytics team serves as the data backbone for this effort, enabling leaders and operators to make informed decisions across infrastructure deployment, hardware operations, supply chain, capacity planning, and site execution. As OpenAI’s Industrial Compute expands across an increasing number of global data center campuses, the complexity of managing infrastructure capacity, hardware health, supply flows, and operational performance continues to grow. Scaling Analytics develops the data models, pipelines, metrics, and reporting systems that transform fragmented operational data into actionable insights, helping OpenAI operate infrastructure at unprecedented scale. About the Role We are seeking a Data Engineer to help build and scale the analytical foundations that power OpenAI's infrastructure organization. This individual will partner closely with Hardware Operations, Capacity Planning, Supply Chain, Infrastructure Delivery, Finance, and Engineering teams to create reliable data products that support critical operational and strategic decisions. Today, much of the team's expertise is concentrated within several highly specialized domains including hardware health, GPU attribution, and supply analytics. As Stargate grows and new sites come online, the demand for analytics support continues to expand across both existing and emerging problem spaces. This role will increase the team's ability to move quickly, reduce operational bottlenecks, and provide additional depth across critical infrastructure analytics functions. The ideal candidate combines strong data engineering fundamentals with an ability to navigate ambiguous operational environments, translating complex infrastructure problems into scalable data solutions that improve visibility, decision-making, and execution. Key Responsibilities Design, build, and maint

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist What is the opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. What will you do? • Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards. • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. • Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions. • Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network. • Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions. • T

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are hiring an Accountant Analyst to support core general accounting and reporting activities within our Finance Shared Services environment. This role plays a key part in ensuring accurate financial records, strong controls, and timely month‑end close, while supporting continuous improvement and collaboration across Finance teams. What you'll be doing: Perform general ledger accounting activities, including journal entries, accruals, prepayments, and balance sheet reconciliations. Support month‑end, quarter‑end, and year‑end close activities in line with defined timelines. Ensure accurate and timely posting of accounting entries in the ERP system. Prepare and review balance sheet account reconciliations, identifying and resolving discrepancies. Ensure compliance with internal controls, SOX requirements, and audit standards. Maintain appropriate documentation and audit trails for internal and external audits. Support financial reporting and variance analysis, identifying unusual transactions or trends. Liaise with other Finance functions (PTP, OTC, Treasury, Tax) to resolve

About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands. To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash. About the Role DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment. You must be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position. You’re excited about this opportunity because you will… You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability You strive for continuous improvement of data architecture and development process You think of quick wins

Senior Data Analyst – Power BI About the Role We are looking for a Senior Data Analyst with strong hands-on expertise in Power BI, data visualization, and business intelligence to work on a broad range of analytics problems across various industries. The candidate should be able to translate business requirements into actionable insights, develop interactive dashboards, and effectively communicate findings and recommendations to clients. Key Responsibilities Engage with clients to understand their business context, objectives, and analytical requirements. Understand business processes and map end-to-end workflows using visual formats. Translate business problems into analytical frameworks and develop effective BI solutions using Power BI. Design, develop, and maintain interactive dashboards and reports to support business decision-making. Collaborate with Data Scientists, Data Engineers, and business stakeholders to integrate analytics into business processes. Define KPIs, metrics, and reporting requirements based on business objectives. Assess data quality, usability, and sufficiency to achieve desired business outcomes. Perform data analysis, identify trends and patterns, and generate actionable insights. Present analytical findings and recommendations through effective data visualization and storyboarding. Ensure the accuracy, consistency, and quality of dashboards and reports. Desired Skills & Competencies Strong hands-on experience with Power BI, including: Power BI Desktop and Power BI Service. Dashboard development, publishing, and workspace management. Data modelling, relationships, and schema design. DAX measures, calculated columns, and complex calculations. Power Query for data transformation and cleansing. Row-Level Security (RLS) implementation. Data refresh configuration and report performance optimization. Proficiency in MS SQL for data extraction, transformation, validation, and analysis. Experience in translating business requirements int

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 2000 employees operate in 26 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. What you will be doing As a Senior Engineer in our India office, you will support and develop client data platforms, with a focus on metadata management and data governance using enterprise tools such as Informatica Intelligent Data Management Cloud (IDMC). Your role would include: Platform maintenance: Run and support IDMC day to day, including Secure Agent management, connectivity, access control (asset groups, roles, SSO/SCIM provisioning), and environment promotion. Metadata engineering: Configure and troubleshoot metadata scans across cloud data warehouses, databases, CRM platforms, APIs and reporting tools, and resolve scan and profiling failures at scale. Data quality and governance: Build and maintain data quality rules, scorecards, business glossaries and data classifications, and keep them consistent across sources. Lineage: Map end-to-end data flow across the enterprise, so that data pipelines are visible and trusted. Automation: Use IDMC REST APIs, Python and bulk import/export to automate glossary loads, catalog clean-up, and governance workflows. Qualifications & Experience Informatica Experience: Hands-on experience with Informatica IDMC in production (CDGC, Metadata Command Center or Data Quality), including platform administration, metadata

The Data Architect plays a critical role in designing and building foundational data platforms that enable customers to move, organize, and analyze their business data at scale. In this position, you will partner with client team members to architect, implement, and deploy data warehouse solutions across multiple cloud platforms and customer organizations. This position requires deep expertise in medallion layer design, ELT implementation, semantic layer architecture and BI tool integration. You should be able to lead architecture discussions, guide technical execution, and mentor junior engineers. As a senior technical contributor, you will take ownership of complex data warehouse solutions, conduct technical discovery with customers, and ensure scalable, maintainable data architectures. You will act as a trusted technical advisor to both internal teams and customer stakeholders while driving best practices in data design, pipeline development, semantic layer modelling, and BI implementation. Responsibilities Design medallion layer data warehouse schemas (bronze, silver, gold) on Databricks, Redshift, Snowflake and/or BigQuery. Select and implement ELT tools to move data from source systems into the warehouse. You'll evaluate options, configure pipelines, and troubleshoot performance issues. Build and optimize semantic layers on top of the warehouse so analysts and business users can query data without writing SQL. Connect data warehouses to BI platforms (Tableau, Looker, Power BI, or similar) to enable self-service analytics and reporting. Translate business requirements into scalable technical integration architectures and implementation strategies. Facilitate discovery sessions and technical workshops with clients to understand system landscapes, integration requirements, and data flows. Own complex integration solutions from design through deployment, ensuring high performance, scalability, and maintainability. Advise on data governance, quality checks, and cos