Data And Ai Reporting Analyst Intern Jobs

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms. This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India. You Will: Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. Contribute to the design standards and architectural principle standards, designs and processes. Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV). Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines. Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight. Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster. Create and implement data testing plans, en

Omada Health is on a mission to bend the curve of chronic disease. Job overview: We are dedicated to leveraging data to drive strategic decision-making and operational efficiency. Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights. We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products. Key Responsibilities: Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform. Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing. Training: You'll train and collaborate with teammates effectively in data engineering best practices Technical Influence/Leadership: Recommends p

Who we are Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. What you will be doing: Key responsibilities Your role will be encompass: Build and lead our Consulting Department in country (P&L responsibility). The leadership structure for this Department is a partnership, similar to those found in Management Consulting firms. Bring the best of our expertise from the other Departments to your clients on Data Science, Activation (e.g., media buying, CRM, …) and Creativity. Impact-driven with real sales abilities, you will have to embark our clients top executives (CMOs, CDO, sometime directly the CEOs) into a transformation of their marketing department and make sure Artefact/NetBooster is their preferred partner in this endeavour. Among your responsibilities as Partner, you will : Develop the country Consulting Department Pilot the consulting department P&L (forecast, revenue and margin, cash, reporting to country and global management) in link with the Finance department in country Define the HR needed and

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,

Opportunity Overview: We are seeking a Sr Business Intelligence Engineer to join our Intelligence team. In this role, you will drive the development and optimization of our analytical infrastructure, enabling efficient, scalable, and consistent reporting and analytics across the organization. You will play a critical role in shaping the foundation of our BI ecosystem—working at the intersection of engineering, data modeling, and stakeholder enablement. This is an ideal opportunity for an experienced BI engineer who can execute cross-functional projects, design performant data models, and contribute to the execution of a unified data strategy across platforms. You will also provide guidance and mentorship to junior team members and contribute to the evolution of Cohere’s modern data stack and governance practices. What you’ll do: Lead the execution and refinement of our business intelligence and analytics architecture, ensuring consistency, performance, and scalability across dashboards and self-service tools. Design and implement robust semantic and dimensional data models supporting operational, clinical, and strategic analytics use cases. Collaborate closely with data platform, analytics, and product teams to define shared data definitions, build source-of-truth datasets, and align transformations with stakeholder needs. Improve data pipeline efficiency and maintainability by establishing and enforcing best practices in dbt modeling, testing, and documentation. Support release management, quality testing, version control, and promotion of analytics assets across environments. Enable data providers and analysts to deliver high-impact dashboards and KPI frameworks using Tableau, with an emphasis on performance, usability, and governance. Serve as the primary Tableau Cloud SME for the organization, including user management, security, performance tuning, and environment configuration. Lead integration of Tableau dashboards into front-end web applications using the Ta

The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday, with the option to work from home on Wednesdays and, depending on the work and the teams you partner with, on Fridays. If you're interviewing for this role, your recruiter will share more about the in-office expectations. What you'll achieve: Own the Gold layer for a given business domain (e.g. PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, a

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About this role The future of Operations at Adyen is built on data-driven autonomy. As AI increasingly automates the mechanics of data retrieval and trend summarization, the real value shifts to the human layer: framing the right problems, validating rigorously, and turning insight into action. You'll lead an analytics and insights function of around 10 people: a Team Lead overseeing 1 Data Engineer and 4–5 technical analysts on Foundational Data Integrity, plus roughly 4 Business Analysts focused on Business Insights, reporting directly into you. You'll support an Operations organization of over 1,000 people, working closely with the Global Operations Leadership team to turn this function from a reporting service into the strategic engine behind how Ops leadership makes decisions. What you'll do Lead and evolve the team: Set a clear vision for how the team supports business performance, planning, and decision-making, and build a high-performing group that balances responsiveness with strategic focus. Partner with senior leaders: Act as a trusted thought partner to Operations leadership on business performance, risks, opportunities, and trade-offs. Support business performance reviews with concise narratives, root-cause analysis, and clear recommendations. Own performance insight and business storytelling: Ensure the team delivers h

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are seeking a proficient Revenue Manager (8–10) years of revenue accounting and operations experience in the software/SaaS industry) to join our India team. Reporting to the Director of Revenue, this role is a critical pillar in facilitating our month-end and quarter-end revenue close operations, maintaining contract compliance under ASC 606, and optimizing our revenue architecture. The ideal candidate brings extensive operational close experience, robust ASC 606 expertise for contract reviews, and hands-on experience with revenue automation tools like Zuora RevPro. In this role, you will lead the month-end close, manage deferred revenue and RPO reporting, direct UAT for New Product Introductions (NPI), and partner with IT and Transformation teams to optimize upstream processes What You Will Be Doing Manage and execute the E2E operational close in RevPro and NetSuite, ensuring a predictable, precise, and timely month-end and quarter-end close cycle.Contract Review & Deal Governance: Review non-standard customer contracts under ASC 606 guidelines to conclude proper revenue recognition treatment, performance obligations (POBs), and proper system setup. Manage and report on Deferred Revenue, Remaining Performance Obligation(RPO), Current RPO (cRPO), and Unbilled Accounts Receivable (UAR). Conduct MoM, QoQ, and YoY flux analys

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 Lead the Customer Satisfaction (CSAT) Center of Excellence within the Monetization organization to transform how Everpure measures and optimizes customer success. In this role, you will establish strategic governance frameworks across CapEx and subscription workflows, driving the end-to-end operational rigor needed to secure actionable customer insights. Collaborating closely with Business Intelligence, Legal, Finance, Customer Experience and Customer Success, you will serve as the core decision-maker for resolution strategies that directly impact global retention and monetization growth. WHAT YOU'LL DO Drive the CSAT Transformation Initiative: Own the design, milestones, and execution of the CSAT governance framework across CapEx and subscription workflows to ensure process integrity and mitigate operational risk. Deliver Executive Visibility: Architect and oversee the delivery of weekly leadership reporting and real-time dashboards in Tableau and ServiceNow, translating complex customer data into actionable trend recommendations for senior stakeholders. Lead and Scale Team Capabilities: Directly manage and coach a dedicated team of CSAT COE Analysts, defining clear roles, performance priorities, and professional growth pathways aligned with company objectives. Orchestrate Cross-Functional Resolutions: Foster strategic alignments with Legal, Finance, and Business Intelligence to enforce documentation standards, c

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 Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics organization is seeking a visionary Principal Software Engineer, Data Architecture to define and advance our global enterprise data architecture strategy. Reporting to the Vice President of Data Engineering, this role will lead the design and evolution of strategic platforms that simplify how external data is securely exchanged with Mastercard and enable product teams, consultants, and analysts to more easily discover, access, and leverage enterprise data. The successful candidate will establish the architectural vision for platforms that transform complex, fragmented data processes into scalable, self-service experiences that accelerate innovation and unlock greater value from Mastercard's data assets. This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Mastercard's data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence. Role: • Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership. • Act as a trusted advisor to executive stakeholders, translating business strategy into scalabl

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Data Platform Engineer you'll join the Squad Matrix team based in Copenhagen, reporting to Jesper, working to build Lunar's self-service analytical data platform, Hubble. What will you do? Build product-grade Flink streaming ingestion pipelines, working with cutting-edge streamhouse technologies (Paimon, Iceberg, Fluss, StarRocks) to move data in real time. Own end-to-end projects that add new capabilities or fix issues across our data stack, from ingestion through to the warehouse. Ensure consistent, reliable daily operations of our data warehouse — the foundation other teams build on every day. Provision cloud infrastructure with Terraform and run services in Kubernetes, keeping the platform deployable and dependable. Support stakeholders across the business with data requests, and use agentic workflows to scale your impact. What are we looking for in you? Experience in data engineering, with a track record of owning platform-level systems, not just pipelines. Experience with stream data processing using Flink, Spark, or similar. Experience with cloud infrastructure (AWS, GCP, or similar), and comfort making architectural trade-offs. Programming experience in one or more of Golang, Scala, or Python, plus solid SQL. Ability to work closely with non-engineering stakeholders, translating platform capabilities into something analysts can actually use. Benefits and perks 4 days in the office. We're a team that builds together, thinks together, and moves toget

ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. Growth Marketing sits inside Product and owns how people discover Mural and decide to start. Paid is a core acquisition engine for the business, working across both our self-serve and sales-assisted motions. You will own it end to end and work closely with partners across Product, Marketing, and Sales to turn demand into teams that rely on Mural. YOUR MISSION You will own Mural's paid marketing end to end: the channels, the budget, and the results. Paid plays a role across the full funnel and supports the different ways Mural grows, from building early awareness to reaching people when they are ready to act. You will bring these efforts together into one connected program, lean on experimentation and measurement to learn what works, and help turn marketing investment into durable growth. WHAT YOU'LL DO Own strategy, budget, execution, and reporting for paid across search, paid social, and video and display, running it as one connected program across the full funnel. You will own Mural’s paid marketing end to end, with a focus on generating efficient growth across self-serve acquisition and sales-assisted demand. Success will be measured by the quality and volume of activated users, qualified pipeline, and revenue generated from paid investment. Build and run a continuous experimentation program across audiences, creative, landing pages, and offers. Lead agency and vendor partners to execute and scale the program. Partner with our Data team on attribution and measurement to connect paid spend to real outcomes. Partner across Marketing and Web on messaging and the post-click experience. Set performance targets and expand the program into new regions and languages, including EMEA and APAC. Support account-based and demand generation programs in close partnership with the Sales and RevOps teams. Use AI in your daily workflow to move faster across keyword, creative, analysi

About the Team OpenAI is building AI products for serious professional work. We’re going deep on finance with a committed team focused on unlocking the potential of AI in this vertical: working closely with industry experts and users to build bespoke solutions that help finance professionals do real work. OpenAI’s Financial Services team works closely with customers to understand where AI can improve the economics and quality of financial work: faster diligence, broader research coverage, sharper client materials, more accurate models, and better investment analysis. Our work spans workflows across investment banking, equity research, private equity, asset management, wealth management, insurance, and other parts of finance. We bring together OpenAI’s models, financial data, and enterprise knowledge to build products that fit how financial professionals work. About the Role We’re looking for a Product Manager to help define and build OpenAI’s financial services products. Reporting to the GM of Financial Services, you will own product strategy, roadmap, and execution for key experiences, taking them from customer discovery and early prototypes through launch, adoption, and iteration. This is a hands-on role. You will spend time with bankers, investors, analysts, and other finance professionals; build and test early product experiences; and work closely with Engineering, Design, Research, and customer-facing teams to ship. You should have strong judgment about both the product experience and the work it produces. You will also form a vision for how AI can change the financial services space and can translate that into product execution. In this role, you will: Own product strategy and priorities. Work with the GM to identify the most valuable customer problems and translate them into a clear roadmap. Make decisions about what to build, what to defer, and where partners or shared OpenAI capabilities can best meet the need. Go deep on financial workflows. Sit with custo