Business Intelligence Jobs

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 seeking a highly analytical and business-oriented Data Analyst to join our Global Centre of Excellence (COE) in Mumbai. This role will play a critical part in enabling data-driven decision-making across Global Procurement and Real Estate & Workplace Solutions (REWS). The analyst will act as a data partner for both functions - owning dashboards, analytics, reporting frameworks, and data quality - while supporting global transformation initiatives, cost optimisation, portfolio performance, and digital enablement. This is a hands-on role requiring strong analytical capability, stakeholder engagement, and the ability to translate complex datasets into clear, actionable insights for senior leadership. What you'll be doing: Data Strategy & Governance (Procurement & REWS) Support the execution of the global data and reporting strategy across Procurement and REWS. Ensure data accuracy, integrity, and consistency across multiple data sources (ERP, S2C tools, real estate systems, finance data). Define and maintain data validation processes for spend, contracts,

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The BI Analyst will be an integral part of our award-winning team, focused on leveraging business intelligence tools, including Tableau, to drive data-driven decision-making, provide global end-user support, and ensure continuous improvement for our analytics and reporting platforms. This role involves managing internal user tickets, performing system administration, creating high-impact reports and dashboards, and providing technical guidance and oversight to other team members. Key Responsibilities: End-User Support and Issue Resolution Provide timely, global end-user support, documenting, troubleshooting, and resolving requests, incidents, and problems via email and ticketing systems. Critically analyze, triage, and resolve complex issues. Utilize and build decision trees to evaluate and appropriately escalate issues to internal technology teams. Collaborate with Appian’s technology team to resolve application issues and provide guidance on system utilization. System Administration, BI Development, and Team Oversight Provide day-to-day regional oversight, guidance, and mentorship to junior members of the Sales. Perform essential system configuration, maintenance of user roles and profiles for core analytics platforms (e.g., Salesforce). Design, build, and maintain high-impact reports, dashboards, and data visualizations using both Salesforce and Tableau to meet advanced business intelligence needs. Documentation and Platform Improvement Create and maintain thorough documentation of processes, policies, and application configurations. Update the knowled

The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Source: Adani Group | Job ID: 44281

The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Source: Adani Group | Job ID: 44282

Senior Data Analyst – Tableau Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. The ideal candidate should have strong hands-on expertise in Tableau , along with a good understanding of Power BI and DAX , and practical experience in migrating Tableau dashboards and reports to Power BI . Key Responsibilities Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries. Engage with clients and business stakeholders to understand business context, objectives, and challenges. Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams. Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports. Develop, publish, and maintain interactive dashboards and visualizations using Tableau and Power BI. Perform Tableau-to-Power BI migration, including assessment of existing Tableau dashboards, reports, data sources, calculations, and business logic. Translate Tableau functionality such as calculated fields, LOD expressions, filters, parameters, and data models into equivalent Power BI implementations. Develop and optimize Power BI reports, data models, measures, and DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. Perform QC checks and validation of reports and dashboards before client delivery

Job Title Regional Marketing Intern CEE Mother & Child Care (all genders) Job Description Your role: General support of Region Business Unit Leader (RBUL). Analytical support: working with Excel data-pulling and performance update, assembling monthly or ad hoc. Tactical brand management support: communication with global and local Marketing managers, providing inputs on assortment management, collaboration with regional & global partners within Marketing, Demand Planning, Pricing Officers, Business Intelligence etc. Regional coordination of new product launches: product lifecycle process administration in coordination with global team; sales forecast coordination with Demand Planners & local teams & global team; management of CEE pricelist, CEE portfolio optimization. Ownership of regional dashboards: product rating & reviews dashboards during product lifecycle. Leads assigned project(s) on regional or local level with focus on quality and timely delivery. You're the right fit if: You are a student of Bachelor’s or Master’s Degree, being able to work at least 30h/ week. You are fluent in English & Polish with excellent verbal and written communication skills. You possess a good knowledge of MS Office (especially Excel). First professional experience in a similar role would be a great asset. <span style=

Req: FEQ427R624 Location: Tokyo, Japan Language Requirements: Fluent Japanese required; Business-level English preferred As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning. The impact you will have: Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production Provide tutorials and training to improve community adoption (including hackathons and conference presentations) Contribute to the Databricks Communit

Job & Department Summary Showpad’s Revenue Operations team owns the systems, data, and operating processes that allow the go-to-market organization to sell, service, and grow revenue. The team spans five disciplines — GTM Systems, Deal Desk, Business Intelligence, Sales Operations, and GTM Strategy — across North America, EMEA, and India. The GTM Project Manager exists to make that team deliver predictably. Today, Revenue Operations runs a large and highly interdependent portfolio, and the senior specialists who should be solving commercial and technical problems are instead managing their own project logistics: chasing stakeholders, scheduling follow-ups, keeping tickets current, and reporting status. This role takes that work off them and does it better. The role is based in Pune and reports to the Director, GTM Strategy. It supports the entire Revenue Operations team rather than any single function, and it is deliberately positioned as a delivery role, not an administrative one. The person in this seat is expected to hold senior stakeholders to commitments, surface risk before a date slips rather than after, and own a subset of projects end to end. How the role splits Approximately 25% of the role is ownership of the Revenue Operations backlog in Jira: data accuracy, delivery governance, reporting, cadence, and direct management of selected projects. The remaining 75% is embedded delivery support across Deal Desk, Business Intelligence, GTM Systems, Sales Operations, and GTM Strategy — driving the cross-functional projects those functions depend on, and unblocking the dependencies between them. Why this role matters Revenue Operations sits upstream of the company’s ability to quote, book, forecast, renew, and report. When a Revenue Operations project slips, a sales team loses visibility, a renewal notification does not send, or an executive forecast is built on incomplete data. This role is the difference between a capable team and a team that reliably lands

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking an EMEA Sales Finance Manager to support our EMEA Sales organization. This highly visible and commercially focused role will partner closely with EMEA Sales and Finance leadership to provide value-added financial analysis, business intelligence, and strategic insights that support business performance and go-to-market decision-making. You will analyze pipeline, bookings, deals, customer buying patterns, expenses, and other leading performance indicators , translating complex financial and operational data into clear, forward-looking narratives and forecasts. You will also partner with our Shared Services team to strengthen financial models, analytics, and reporting while driving planning, expense management, process standardization, and automation as the business scales. WHAT YOU'LL DO Commercial Finance & Business Partnership : Partner closely with EMEA Sales leadership and the Deal Desk, providing financial and commercial analysis that supports deal decisions, go-to-market strategy, resource allocation, and business growth. Reporting & Business Analytics : Analyze business trends, customer buying patterns, pipeline, deals, and market performance to deliver actionable insights that inform go-to-market strategy and measure execution effectiveness. Financial Modeling & Planning : Partner with the Shared Services team to build and maintain critical business and financial models covering he

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Manager, Enterprise Analytics & Reporting leads a multidisciplinary team of analytics and reporting developers, business intelligence professionals, and data engineers responsible for developing, maintaining, and governing enterprise analytics, reporting, and data solutions across Tableau, Epic Clarity, Databricks, and other approved platforms. This role combines people leadership, technical expertise, and business partnership. The Manager works with commercial, clinical, operational, and technology stakeholders to translate business needs into scalable dashboards, reports, data products, and analytical solutions. The role is also responsible for establishing reporting standards, improving the usability and consistency of the reporting environment, managing demand and priorities, and ensuring the organization can confidently use data to support decision-making. The Manager intentionally grows the engineering capabilities of the team over time, helping reporting and business intelligence developers build the skills and practices needed to deliver increasingly scalable, reusable, automated, and engineering-oriented data and analytics solutions. This role requires consistent onsite presence in Madison, WI up to four days a week. Essential Duties Include, but are not limited to, the following: Lead, coach, and develop a multidisciplinary team of analytics and reporting developers, business intelligence professionals, and data engineers suppo

About the Team: The Workforce Demand Forecasting team is part of Global Support and Integrity Operations. We help DoorDash deliver reliable, efficient, and high quality support by translating business activity into demand forecasts and actionable planning insights. Our work informs customer experience, workforce investment, operational readiness, and cost. We partner with Workforce Management, Operations, Finance, Business Intelligence, Data Science, Product, and Engineering to improve forecast accuracy, strengthen planning decisions, and build scalable operating mechanisms. The team supports a broad set of global support workstreams. Our goal is to provide leaders with the forecasts, insights, and decision frameworks needed to balance service, customer experience, and cost. About the Role: We are seeking an Associate Manager to lead a defined set of Forecasting workstreams and strengthen the team’s operating model. This role goes beyond forecast production. You will own workstream performance from end to end, including forecast quality, prioritization, business readiness, stakeholder alignment, and continuous improvement. You will translate complex data into clear recommendations, make informed tradeoffs, and help leaders understand key risks, opportunities, and decisions. You will also guide and develop analysts through coaching, technical support, and clear performance expectations. The ideal candidate combines analytical depth, strategic judgment, operational discipline, and strong cross functional influence. Success in this role requires advanced SQL skills, strong business acumen, and demonstrated experience improving forecasting, planning, or operational processes at scale. You’re excited about this opportunity because you will own: Forecasting Performance and Business Readiness Lead demand forecasting across designated business lines and workstreams, with accountability for forecast accuracy, assumptions, risks, and recommended actions across planning horizo

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. Designation: Strategic Account Executive Location: Mumbai / Ahmedabad Business: CBIG - DRS Function: Sales Key Responsibilities: Manage the complete sales lifecycle for Dun & Bradstreet’s business intelligence solutions, including Hoovers Database, from prospecting and lead generation through to deal closure and revenue achievement. Identify, engage, and build relationships with key decision-makers such as CEOs, CFOs, CHROs, Managing Directors, CXOs, Business Heads, and other senior executives through market research, LinkedIn, company websites, and prospecting databases. Execute high-volume outbound sales activities, leveraging consultative selling techniques to generate qualified leads, schedule meetings, and maintain a strong opportunity pipeline. Deliver compelling product demonstrations and value-based presentations, effectively communicating solution capabilities, business benefits, and return on investment (ROI) to prospective clients. Consistently achieve daily activity targets of 60-70 outbound calls and 6-7 qualified meetings while driving monthly and quarterly revenue goals. Oversee end-to-end sales processes, including lead qualification, needs assessment, stakeholder engagement, proposal discussions, negotiations, and successful deal closures. Develop and nurture long-term relationships with corporate and SME clients, ensuring high levels of customer engagement and stakeholder m

Role: Senior Cloud Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About GHX: GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities. Website: https://www.ghx.com/ LinkedIn: https://www.linkedin.com/company/ghx/ About Role: The Senior Cloud Engineer leads the design, implementation, and operations of the organization’s cloud infrastructure. This role is responsible for complex projects, high-level architectural planning, and making strategic technology decisions that support scalability, performance, security, and cost optimization. Acting as a technical leader, the Senior Cloud Engineer provides mentorship to junior and mid-level engineers while driving innovation, resiliency, and compliance in cloud environments. Key Responsibilities: Design and Implementation Lead the design and implementation of cloud-native architectures and hybrid cloud solutions. Oversee cloud engineering projects, ensuring solutions are secure, resilient, and cost-effective. Contribute to high-level architectural planning and strategic decision-making around technology adoption. Review and approve design proposals, Infrastructure as Code (IaC) tem

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices

Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. Team Leadership: Lead, mentor, and grow