Manager Business Analytics And Reporting Jobs

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About Mixpanel Engineering Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Product innovation drives our business, and product engineering teams own that responsibility. The Product Engineering org is responsible for building our core product that delivers insights to customers. These teams are defining the next phase of our AI-led product experiences and are uniquely positioned to build the next generation of AI-first products. We build the tools product managers rely on to understand users, protect revenue, and scale companies. As we move toward IPO, our work evolves from showing what happened to explaining why. This shift unlocks deeper insight, better decisions, and the next generation of analytics. About the Role The Director of Engineering, reporting directly to the CTO, will be responsible for all of Product Engineering. You'll own the core analysis experience that product managers and engineers rely on daily, the growth infrastructure that brings new builders into the product and keeps them there, and the platform capabilities that let teams test and ship with confidence. Success is measured by revenue and retention. What You'll Do Lead multiple engineering teams across different product areas. This role is for someone who develops people seriously and holds a high bar for execution. Build an AI first product analytics for the next generation of software Hire well, coach deeply, and build a culture where engineers feel ownership and pride in what t

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The role requires a highly collaborative, customer centric approach with various stakeholder groups including the wider People Team, leaders and employees. The scope includes Poland with some opportunity to support across the Europe region. Our team works in a dynamic, fast paced environment which underpins our relationship-based culture. As such, you’ll need a flexible and adaptable communication style, ability to engage with all levels across the organisation and strong self-awareness to build strong relationships across the business. You will be accountable for customer support & administration across the employee lifecycle. This role is exposed to multiple functional disciplines including compensation, benefits, HR policies, HRIS, reporting, employee relations and analytics. Key responsibilities: Act as the 1st point of contact for all People Team enquiries that come through our case management system or over the phone, providing superior customer service to the People Team Business Partners, new hires and line managers in line with global Service Level Agreements; Escalation of complex queries & collaboration with relevant Business Partner to bring to closure Primary point of contact for all People Team event driven processes e.g.; merit and bonus cycles, performance management and talent assessment. Provide 1st level employee relations and policy advice e.g. absence management. Review and update policies and

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are now looking for a Senior Accountant – General Ledger to join our Finance team in Warsaw, Poland. In this role, you will play a key part in ensuring accurate financial reporting, strong balance sheet governance, and compliance across multiple legal entities, while partnering with stakeholders locally and globally. What You’ll Do As a Senior Accountant – General Ledger, you will be responsible for end‑to‑end accounting activities with a strong focus on general ledger ownership and financial integrity.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are looking for an Accounts Payable Accountant based in our Warsaw office, to support Accounts Payable operations and compliance across multiple countries and business units. Reporting to local leadership, this role works closely with international and cross‑functional teams to ensure accurate processing, policy compliance, and strong financial controls.

About the Team 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. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will… Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because… 3+ years of professional experience 3+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Kotlin/Scala 3+ years of experience in ETL orchestration and workflow management tools like Airflow Expert in database fundamentals, SQL, data reliability practices and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools Comfortable working in

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Drive regional sales and business growth for L&EIG products, Conferences, Training Programs, Knowledge Solutions, and Data & Analytics offerings, with complete ownership of revenue targets and new client acquisition. Lead corporate sales and strategic partnerships, generating revenue through B2B sponsorships, advertising opportunities, and partnerships for conferences, summits, conclaves, roundtables, and other IP-led events. Engage and influence senior stakeholders across Corporates, PSUs, Government Bodies, and Large Enterprises by presenting knowledge-based and data-driven solutions to CXO and Director-level decision makers. Develop and execute sales strategies through market mapping, competitor analysis, pipeline management, account planning, and accurate sales forecasting to consistently exceed business objectives. Manage and mentor a regional sales team, providing coaching, performance guidance, and leadership while fostering a culture of accountability, trust, transparency, and high performance. Collaborate with cross-functional teams to ensure seamless project delivery, superior customer satisfaction, process compliance, accurate reporting, optimal resource utilization, and effective business reviews with senior management. Key Requirements: MBA or equivalent postgraduate qualification with 10+ years of experience in Corporate Sal

About the Role: We are looking for an experienced Risk Management professional to lead and strengthen our Market Risk and Margin Trading Facility (MTF) risk functions. The role will be responsible for developing robust risk frameworks, monitoring trading and client exposures, ensuring regulatory compliance, and safeguarding the organization against market-related risks while enabling sustainable business growth. Key Responsibilities: Market Risk Management - - Develop, implement, and continuously enhance market risk management frameworks across Equity, Derivatives, and Margin Trading Funding (MTF) businesses. - Monitor and assess market risk exposures arising from cash equities, futures, options, and leveraged products. - Establish and review risk limits, exposure thresholds, concentration limits, and margin policies. - Track key risk indicators (KRIs) and ensure timely escalation of potential risk events. MTF & Exposure Risk Management: - Manage client-level and portfolio-level risks associated with Margin Trading Funding (MTF). - Define collateral eligibility, haircut frameworks, and funding exposure limits. - Monitor leveraged positions and ensure adequate margin coverage across client portfolios. - Evaluate concentration risks and implement preventive controls to minimize losses. Risk Analytics & Monitoring: - Conduct stress testing, scenario analysis, and sensitivity assessments under varying market conditions. - Develop risk models and analytical tools to evaluate portfolio resilience during periods of volatility. - Analyze trading patterns, market trends, and exposure data to identify emerging risks. - Drive automation and real-time risk monitoring capabilities across trading systems. Regulatory Compliance & Governance: - Ensure compliance with SEBI, NSE, BSE, Clearing Corporation, and other applicable regulatory requirements. - Oversee risk-related regulatory reporting, including exposure monitoring, margin compliance, and CTCL reporting. - Coordinate w

Managing Principal Consultant - Credit Risk and Market Risk–driven regulatory and transformation initiatives Role Overview We are seeking a senior Finance & Treasury Transformation professional to join our Finance, Risk, Regulation & Reporting (FRRF) practice. This role focuses on leading Credit Risk and Market Risk–driven regulatory and transformation initiatives for global financial services clients. The position involves advising C‑suite stakeholders (CFO, CRO, Treasurer) and delivering complex, multi-year transformation programs across finance, treasury, and risk functions. Key Responsibilities Lead and deliver large-scale Finance, Treasury, Credit Risk, and Market Risk transformation programs Own regulatory change initiatives including Basel (Credit & Market Risk), ICAAP, ILAAP, IFRS 9, PRA/EBA Design target operating models , balance sheet, capital, and liquidity optimization strategies Oversee regulatory and management reporting (ICAAP, ILAAP, RRP) Drive process efficiency, automation, analytics, and technology-enabled transformation Establish robust governance, control frameworks, and regulatory assurance Act as a trusted advisor to senior stakeholders across Finance, Risk, Compliance, and Audit Translate business and risk requirements into functional and technology solutions Proactively manage risks, dependencies, and delivery outcomes Skills & Experience Deep expertise in Credit Risk, Market Risk, Finance, and Treasury within financial services Strong hands-on experience with Basel, ICAAP/ILAAP, IFRS/IFRS 9, regulatory remediation Proven delivery of finance/risk transformation programs (consulting or in-house) Strong understanding of P&L, balance sheet, capital, liquidity, and cost allocation Experience with finance and risk technologies (ERP, accounting engines, sub-ledgers, reporting platforms) Excellent stakeholder management and change leadership skills Leadership & MP Expectations Act as a Subject Matter Expert across Fin

About the Team 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 pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

About the Team 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 pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS pl

About the Team The Finance & Strategy team accelerates the growth of our business by implementing new opportunities and solutions. We partner with teams across the company to improve the profitability, scalability, and defensibility of our business model. We're looking for people who can model the future, and collaborate to help carry projects from conception through execution. About the Role We are looking for an Associate to join our US Marketplace Finance & Strategy team and help manage the financial performance of our business. You will own the rhythm of P&L reporting, planning, and investment management. You’ll translate performance and strategic decisions into clear, leadership-ready narratives that help us make efficient, data-driven decisions. The role requires judgment, adaptability, and strong partnership with cross-functional teams in a fast-paced, constantly changing environment. You're excited about this opportunity because you will… Track and analyze key financial performance drivers, uncover trends, and be a trusted source of truth for reporting, forecasting, and planning Turn complex financial and operational inputs into clear, leadership-ready narratives with actionable recommendations Partner with teams across the company to identify gaps to our goals and propose solutions to close them Help leadership decide where to invest by evaluating requests and making sure approved investments are reflected accurately in our plans Support long-range planning and company forecasting, including analytical approaches to balance growth and profitability over time Improve, automate, and scale our reporting and planning processes in a fast-paced, constantly changing environment As a Finance & Strategy Associate, you will collaborate day to day with partners in strategy & operations, product, analytics, and finance, and drive financial insights that inform our operational decisions and strategies. This role reports to a Director in our Fin

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. Why this role Every one of Multiverse's 800+ employees needs data to do their job well, and in the AI era - our ability to leverage data is more important than ever! As Director of Data Products, you will own the platform, the products, the tools, the processes and the self-serve layer, so that the answer arrives before the request does. You will be a force-multiplier for the quality, velocity and impact of Multiverse's decision making, and a driving force behind how data and AI are leveraged across the entire business. You will ensure that how we interact with data and deliver data products fully realises the potential of AI. You will sit in the Data & Insight leadership team, reporting to our VP of Data & Insight, with a seat in company-wide planning and governance forums. You will manage 8 analytics engineers and developers within a wider team of ~20, collaborating with senior stakeholders across the org to coordinate a complex set of competing needs. What you'll

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners. In this role, you will collaborate closely with Operations, Science, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst Intern to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Operations, Engineering, Data Science & Analytics, Product, Finance and other cross-functional stakeholders to manage and update key business logic Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners Monitor and diagnose KPI performance and present findings to senior leadership Experience: Currently pursuing a Bachelors or Masters degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field;

About the Team 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 pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Softare Engineer II to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS

About the Team 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 pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec