Manager, Enterprise Analytics

About UsGreat Minds is a dynamic, mission-driven organization established by educators in 2007. As a for-profit Public Benefit Corporation, we are dedicated to ensuring that all students have access to engaging and rigorous content, and that teachers are equipped with tools that are user-friendly, effective, and tailored to the demands of modern classrooms.W…

OppFi is an innovative tech-driven digital finance platform that collaborates with banks to deliver essential financial products and services to everyday Americans. Our transparent and responsible platform promotes financial inclusion and exceptional customer experience, assisting consumers who face challenges with traditional options in achieving better financial health.We pride ourselves on fostering a team of compassionate, inventive, and inclusive professionals who thrive on diverse talents, expertise, and perspectives. Our employees tackle each challenge with an unmatched vision for what could be, rather than settling for the status quo. Guided by our business principles, we cultivate an open and collaborative culture that emphasizes continuous improvement, where the best ideas always prevail. We invite individuals eager to impact the financial landscape by enhancing credit access, expanding financial inclusion, promoting financial wellness, and delivering outstanding customer service.Fun fact: OppFi is one of the top-rated consumer financial platforms online, boasting a 4.5/5.0-star rating on Trustpilot. We were recognized as a Crain’s Fast 50™ company for 2025 and named one of Built In's 2025 Best Places to Work in Chicago.About the Role:As the Senior Manager of Operations Data Analytics, you will spearhead the creation of premier analytics solutions across OppFi’s Operations teams. You will lead a team of analysts to provide data-driven insights that shape operational strategies, guide decision-making, and track implementation. Collaborating with various departments across the organization, including Marketing, Product, Tech, Finance, and Compliance, you will work closely with fellow analytics leaders to promote operational excellence throughout the company.Your Responsibilities:Manage analytics projects from inception to completion, collaborating with operations experts and cross-functional teams to support and execute the operations strategy.Oversee the development of models that facilitate coordination and optimization across operations functions, customer engagement channels, and customer segments, including:OriginationsFraudServicingComplaintsCollections & RecoveriesPhone, Chat, and Email EngagementAI SolutionsCreate tools and training that empower the Operations Strategy team to adopt a data-driven mindset in their day-to-day business decisions.Lead initiatives to identify opportunities for leveraging advanced analytics or AI to enhance operational efficiency.

Join Canonical as an Engineering ManagerAt Canonical, we are seeking a dynamic Engineering Manager who excels in technical leadership and team development. In this pivotal role, you will guide a talented group of engineers while actively engaging in code development and ensuring your team’s productivity and focus. Your mission will be to foster an environment where engineers thrive, produce exceptional results, and find fulfillment in both personal and professional growth.As a key influencer in our engineering culture, you will facilitate technical delivery and regularly engage with your team to assess strategy and execution. Collaboration is essential; you'll work closely with fellow Engineering Managers, product managers, and architects to create an ambitious yet achievable engineering roadmap.We expect you to be well-versed in the programming languages and technologies that your team employs, particularly popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.Your role encompasses code reviews, architectural leadership, and a steadfast commitment to best practices in engineering. You will ensure quality, performance optimization, and a culture of clear communication and fair management, all while maintaining a high-performing team.Location: This is a fully remote position available to candidates worldwide.

Join Our Team as a Freelance Manager, Data & Analytics!SSCG Media Group (SSCGMedia.com) stands as one of the largest and most accomplished full-service, 100% pharma-focused strategic media planning and buying groups in the world, proudly affiliated with Omnicom.We are a dynamic and collaborative team dedicated to fostering a culture of curiosity, creativity, and continuous learning. Our core values—Substance, Style, Conviction, and Grace (SSCG)—guide our work and our relationships, and we are eager to see these values reflected in our candidates. We provide ample opportunities for our talent to grow, face challenges, and discover their passion.If you embody Substance, Style, Conviction, and Grace and possess the qualifications listed below, we want to hear from you!

Role overview Sweedpos is seeking an Analytics Engineer to strengthen its data analytics efforts. This fully remote position centers on creating and maintaining analytics solutions that guide important decisions throughout the company. What you will do Build and maintain analytics tools and workflows to support business insights Collaborate with teams from various departments to understand data needs and provide clear, actionable insights Use data modeling techniques to structure and organize information for analysis Requirements Strong analytical skills and keen attention to detail Hands-on experience with data modeling methods Knowledge of analytics platforms and related technologies Ability to work effectively with colleagues from different functions Location This role is open to candidates internationally and is fully remote.

YOUR ROLEWe are seeking an enthusiastic Game & User Acquisition (UA) Analytics Specialist to join our team as we unveil an innovative client-focused analytics service. This initiative aims to provide game studios with complimentary diagnostics and actionable strategies. Key deliverables include 1–2 revenue-oriented A/B tests, live operations support, user acquisition insights, and valuable benchmarks based on similar titles. Your expertise will enable us to conduct comprehensive funnel audits, facilitate product adoption, and articulate compelling narratives for executives, empowering teams to implement effective changes. Additionally, you will play a crucial role in connecting specialists on both sides to eliminate bottlenecks and enhance workflow efficiency.ABOUT USXsolla is a leading global commerce platform designed to empower game developers by providing a suite of robust tools and services to tackle the unique challenges of the gaming industry. From independent creators to major AAA studios, our partners leverage Xsolla’s expertise to secure funding, optimize distribution, enhance marketing, and maximize monetization strategies. Driven by a passion for the future of gaming, we are dedicated to forging opportunities and continuously expanding resources for creators. Headquartered in Los Angeles, California, Xsolla proudly serves as the merchant of record and has partnered with over 1,500 game developers worldwide, helping them reach broader audiences and grow their businesses. With diverse paths to profitability and success, we equip developers with everything they need to thrive in the gaming landscape.For more information, please visit xsolla.com.

Platacard seeks an Analytics Engineer to support the Risk Domain team. This position centers on transforming raw data into actionable insights that contribute to financial security within the company’s products. Role overview The Analytics Engineer will work with data from various sources, shaping it into clear reports and analyses. The focus is on identifying patterns and trends that inform risk management decisions. Key responsibilities Convert complex data sets into clear, practical insights Support efforts to improve financial security across Platacard’s products Collaborate with the Risk Domain team to deliver accurate analyses Location This is a worldwide role. Candidates from any location are welcome to apply.

About LightdashLightdash is an innovative open-source Business Intelligence (BI) tool that seamlessly transforms your dbt project into a comprehensive full-stack BI platform.Our mission is to create the ultimate BI tool tailored for analytics engineers, allowing them to manage everything as code directly from their text editor and command line. Once the data team establishes the metrics, Lightdash empowers the entire organization to access data autonomously.We are dedicated to assisting data teams in building data-driven enterprises, enabling them to make swift, informed decisions.How We Work at LightdashWe Build in Public, by Default. Our open-source product thrives on shared context, fostering contributions to Lightdash. We believe that optimal decisions arise when everyone has access to the same information. Our goal is to ensure that the Lightdash experience matches the excitement of what we offer.We Challenge Problems, Not People. Our approach focuses on asking “why is this broken?” rather than “who caused this issue?”We’re Highly Collaborative. While we appreciate individual work, we value teamwork immensely. We tackle challenges together and actively listen to feedback from our community and users, investing in the tools and processes that facilitate collaboration, even in a fully remote setting.We Bias Towards Impact. We prefer to develop solutions to 80% completion and gather user feedback rather than completing them to 100% only to discover they miss the mark. Our focus is on solving genuine user problems and addressing high-impact challenges, even if they extend beyond conventional boundaries.About the RoleAt Lightdash, our users' success is our top priority. Our swift and technical analytics support is one of our standout strengths, encompassing everything from dashboard creation to SQL writing and best practices in analytics engineering. If you are passionate about empowering teams with data, we invite you to join us as an Analytics Engineering Advocate.Your role will extend beyond product features to encompass all interactions our users have with the community and our team. You will serve as the voice for our community, addressing user inquiries related to Lightdash and promoting best practices in BI and analytics engineering.

This opportunity is available to talented individuals residing in LATAM, Africa, and Eastern Europe. Please be aware that, as this position supports clients based in the U.S., candidates must be able to work during U.S. business hours, aligned with the client’s time zone.At Scale Army Careers, we are continually seeking skilled professionals to join our dynamic network focused on Growth Marketing, Paid Media, and Marketing Analytics. This posting serves as a talent pipeline rather than a specific job opening. By joining our network, you will be considered for various roles across our client projects as they arise. If you possess experience in growth marketing, paid media management, or analytics, we want to keep you in mind for future opportunities.Whether your expertise lies in driving digital growth, optimizing paid media strategies, or analyzing marketing data to enhance campaign performance, we are dedicated to fostering long-term professional relationships that yield benefits for both you and our clients. We seek motivated self-starters who are passionate about innovation, data-driven outcomes, and contributing to business success.Explore additional job openings on our job board!Key Responsibilities:Growth Marketing: Craft and execute strategies to enhance customer acquisition, engagement, and retention through diverse digital channels for client campaigns.Paid Media: Oversee and refine paid media campaigns across platforms such as Google Ads, Facebook, Instagram, and LinkedIn to deliver measurable results for clients.Analytics Marketing: Examine and interpret marketing performance data, providing actionable insights to improve client campaigns effectively.Collaboration: Partner with internal teams to ensure cohesive alignment on client objectives, marketing strategies, and performance metrics.Performance Tracking: Continuously monitor, test, and optimize client campaigns to maximize efficiency and ROI.Why Apply?If you're interested in becoming part of a talent pool for future roles in Growth, Paid Media, or Analytics, we encourage you to apply! Even if we don't have an immediate position available, we would love to stay connected for when new opportunities arise. Additionally, check out our other open roles on our job board!

Are you an analytical chemistry expert passionate about influencing the future of artificial intelligence? As large-scale language models transition from advanced chatbots to pivotal tools for scientific discovery, your expertise is critical. By providing high-quality training data, you will help shape tomorrow's AI to democratize world-class education, stay at the forefront of cutting-edge research, and optimize laboratory workflows for scientists across the globe.We are actively seeking analytical chemistry specialists who have a deep understanding of spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development. You will engage with advanced language models on complex topics including mass spectrometry, optimization of HPLC and GC techniques, NMR interpretation, method validation, trace analysis, titrimetric methods, and QA/QC protocol design—documenting each failure mode to enhance model reasoning.Your daily tasks will involve discussing laboratory scenarios and theoretical questions related to analytical chemistry with the model, verifying factual accuracy and logical coherence, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics.A PhD in analytical chemistry or a closely related field is preferred. Demonstrated experience through peer-reviewed publications, lab-based method development, regulatory testing, or instrumentation-intensive research will indicate a strong fit. Exceptional metacognitive communication skills—“showing your work”—are essential to this role.Are you ready to transform your analytical chemistry expertise into the knowledge foundation for the next generation of AI? Apply now and be part of the team that will educate the world through advanced AI.

Join Our Team as a Junior/Mid-Level Analytics Engineer!At Platacard, we are at the forefront of data-driven solutions, and we are seeking a motivated Junior to Mid-Level Analytics Engineer to enhance our data warehouse (DWH) capabilities. This is a fantastic opportunity for individuals passionate about translating complex data into actionable insights in a fully remote environment.You will collaborate with cross-functional teams to develop data pipelines and analytics frameworks that drive business decisions. Your contributions will help shape our data strategy and support our mission to deliver top-notch services to our clients.

Join Canonical as a Python and Kubernetes Software Engineer, where you will develop cutting-edge open source solutions for data analytics, MLOps, and AI/ML workflows. Collaborate with a global team to create impactful solutions on public and private clouds, utilizing top tools like Kubeflow, MLFlow, and Apache Airflow. Contribute to projects that empower individuals and organizations with the benefits of open source technology.

About HausHaus is the leading incrementality platform that brands worldwide rely on to optimize their advertising expenditures. By leveraging advanced causal inference-based econometric models for experimentation, we empower brands to assess the business impact of their marketing, pricing, and promotional strategies with unmatched accuracy. In the US alone, over $360 billion is spent annually on paid advertising, and the adage, “half the money I spend on advertising is wasted; the trouble is I don't know which half,” remains pertinent. Haus enables marketers to identify the ineffective half and reallocate resources to foster growth.Our founding team comprises former product managers, economists, and engineers from industry giants like Google, Netflix, Meta, and Amazon. We democratize high-quality decision science, incrementality testing, and causal marketing mix modeling for businesses of all sizes, automating the complexities of experiment design, data processing, and insights generation. Haus collaborates with renowned brands such as FanDuel, Sonos, and Dr. Squatch, achieving ROI enhancements of up to 30x.Backed by prestigious venture capital firms, including Insight Partners, Baseline Ventures, and Haystack, we are proud to be recognized by LinkedIn as a 2025 Top Startup!About this roleAs a Group Product Manager for GeoLift, Haus’s flagship product, you will lead the strategic direction of our offering which empowers clients to comprehend the causal effects of advertising on business outcomes through region-specific experimentation. You will mentor a team of product managers to achieve measurable outcomes.Key Responsibilities:Collaborate with engineering, data science, sales, design, marketing, and customer success teams to establish a comprehensive product roadmap.Conduct customer discovery sessions to identify crucial features that enhance user experience and drive retention.Evaluate methodological enhancements for maximum impact.Design user-friendly product experiences for both technical and non-technical users.Integrate AI capabilities into our product to deliver tangible value.Define the optimal team structure to meet our strategic objectives.

About HausHaus is the leading incrementality platform trusted by brands worldwide to optimize billions in advertising expenditures. Our cutting-edge causal inference-based econometric models enable us to conduct experiments that measure the business impact of marketing, pricing, and promotions with unparalleled accuracy. With over $360 billion spent annually on paid advertising in the U.S. alone, the age-old adage, “half the money I spend on advertising is wasted; the trouble is I don't know which half,” still resonates. Haus empowers marketers to pinpoint the ineffective half and reallocate funds to maximize growth potential.Founded by a team of former product managers, economists, and engineers from industry giants like Google, Netflix, Meta, and Amazon, we democratize access to high-quality decision science, incrementality testing, and causal marketing mix modeling for businesses of all sizes. Our automation simplifies experiment design, data processing, and insights generation. Haus collaborates with leading brands such as FanDuel, Sonos, and Dr. Squatch, achieving ROI enhancements as high as 30x.We are well-capitalized and supported by esteemed venture capital firms, including Insight Partners, Baseline Ventures, Haystack, and others. We are proud to be recognized by LinkedIn as a 2025 Top Startup!Your RoleAs an Account Manager at Haus, you will manage a portfolio of clients and be directly accountable for enhancing retention, gross renewal rates, and expansion initiatives within your accounts. Collaborating closely with our Measurement Strategy team within the Sales organization, you will spearhead renewals, identify expansion opportunities, and lead upsell initiatives into causal MMM (cMMM) and forthcoming Haus products.You will cultivate trustworthy, long-term relationships with growth, analytics, and executive stakeholders; link Haus's measurement outcomes to tangible business value; and coordinate internal experts to ensure clients continue to see increasing impact over time. This role carries both a renewal and expansion quota and is pivotal to Haus’s growth and customer success.Key ResponsibilitiesManage an end-to-end portfolio of accounts, acting as the primary commercial contact responsible for retention, gross renewal rates, and expansion.Oversee the complete renewal lifecycle — from initial health assessments and risk evaluations to stakeholder alignment and renewal negotiations.

At Arcadia, we are committed to creating happier and healthier lives for everyone. We envision a transformative healthcare landscape driven by data. Our innovative platform integrates complex and diverse data into a cohesive foundation for health, enabling organizations to enhance care delivery, increase revenue, and reduce costs.Join our dedicated team of passionate individuals striving to make healthcare more sustainable. We are eager to welcome like-minded people to help us achieve our vision.To learn more, visit arcadia.io.Why This Role Matters at ArcadiaAs a Customer Success Manager (CSM) at Arcadia, you will play a pivotal role in ensuring the success of our non-enterprise clients. You will be responsible for fostering customer satisfaction through the adoption of Arcadia's capabilities, maintaining high data quality, providing effective support, and facilitating seamless upgrades. Your deep understanding of Arcadia's functionality and value-based care will empower you to lead product training, troubleshoot issues, and align our tools with evolving business goals.You will be adept at linking strategic business objectives with Arcadia’s offerings, thriving in detailed problem-solving scenarios. As the primary point of contact for customers, you will manage a portfolio of accounts, prioritize project execution to support client objectives, and enhance the utilization of Arcadia's tools, ensuring ongoing success.In this role, you will collaborate closely with leaders across various divisions, including implementation management, production support experts, engineering, product managers, and service desk teams.What Success Looks Like

About HausHaus is the leading incrementality platform that brands trust to optimize billions in global advertising expenditures. By leveraging advanced causal inference-based econometric models to conduct experiments, we empower brands to assess the business impact of their marketing, pricing, and promotional strategies with unparalleled scientific accuracy. In the U.S. alone, over $360 billion is spent annually on paid advertising, and the age-old adage that "half the money I spend on advertising is wasted; the trouble is I don't know which half" remains relevant. Haus enables marketers to pinpoint the ineffective half and reallocate resources to fuel growth. With a founding team comprising former product managers, economists, and engineers from industry giants like Google, Netflix, Meta, and Amazon, we democratize high-quality decision science, incrementality testing, and causal marketing mix modeling for businesses of all sizes—automating the complexities of experiment design, data processing, and insights generation. Haus collaborates with prominent brands such as FanDuel, Sonos, and Dr. Squatch, delivering ROI improvements as high as 30x.Proudly backed by top-tier venture capital firms like Insight Partners, Baseline Ventures, and Haystack, Haus has been recognized as a 2025 Top Startup by LinkedIn!Your Role:As a Measurement Strategy Manager at Haus, you will collaborate closely with a select portfolio of customers to establish and execute their measurement strategies. You will gain a profound understanding of your customers' business objectives, design testing strategies that align with these goals, and guide them to leverage insights derived from Haus. You will act as an advocate for incrementality measurement, assisting customers in making pivotal business decisions based on Haus reports. Being part of a small and agile team, you will also be expected to contribute to the overall success of the organization, enhancing team capabilities and raising the bar in various aspects.Key Responsibilities:Collaborate with customers to co-create experimentation roadmaps, taking into account their media strategies and operational objectives to maximize the effectiveness of testing opportunities and promote a culture of continuous experimentation.Guide customers throughout the entire experimentation lifecycle—from design and implementation to interpretation and actionable insights.

Job Title: Senior AI Engineer - Rapid Prototyping & AnalyticsAt Prompt, we are a purpose-driven startup on the forefront of transforming healthcare through innovative AI solutions, particularly in the realms of speech and language processing. We are seeking a seasoned Senior AI Engineer to spearhead our ambitious AI initiatives, contributing to our mission of enhancing patient care and rehabilitation therapy.Prompt specializes in providing state-of-the-art, automated B2B enterprise software designed for rehabilitation therapy businesses, their teams, and the patients they serve. Our platform has quickly become the preferred choice in the industry, and we are experiencing rapid growth by delivering exceptional software solutions.As we continue to scale, AI is becoming integral not only to our product development but also to our internal operations. We are looking for a Senior AI Engineer who is comfortable operating across various domains within the company, adept at designing, evaluating, and overseeing comprehensive AI systems. The ideal candidate will be skilled in selecting, implementing, and refining outcome metrics. This role will support both product-focused AI efforts and the development of internal AI tools that enhance efficiency, decision-making, and quality across Engineering, Design, Sales, Marketing, Support, Finance, and Operations.This position offers a high degree of ownership, emphasizing the need to iteratively build systems, collaborate closely with stakeholders, and ensure our AI tools provide tangible value.

At Metabase, we empower everyone to harness the power of data insights, whether you're a nimble startup or a large enterprise with thousands of users. It's no wonder that our community loves us.We bridge the gap between the simplicity of consumer products and the complexities of enterprise business intelligence. Our open-source platform provides a robust framework for organizations to effectively measure, analyze, and share their data, serving tens of thousands of companies worldwide.We are seeking a skilled Analytics Engineer to join our dynamic team. In this pivotal role within our operations team, you will leverage diverse data sources related to our customer base, onboarding processes, and community insights to gain a deeper understanding of user needs and drive enhancements for our customers.Your Key Responsibilities:- Continuously refine our data infrastructure, develop models, and promote self-service analytics across the organization.- Structure our datasets and perform intricate transformations using SQL and Python.- Conduct in-depth data analysis to address critical business questions.- Mentor your teammates on data literacy and analytics best practices.- Collaborate closely with business users, designers, product managers, and engineering teams.- Engage in a variety of tasks encompassing data ingestion, modeling, analysis, and storytelling.What We Are Looking For:- Exceptional skills in data modeling and integration.- Proficient coding abilities in SQL (capable of writing complex queries with 100+ lines) or Python (experience with 1k+ lines of object-oriented programming scripts).- Ability to visually represent business processes through models and charts.- Minimum of 5 years of experience in roles such as Analytics Engineer, Data Analyst, Data Scientist, or Data Engineer.- A Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Economics, or a related technical field is preferred.- Familiarity with B2B SaaS, dbt, Postgres/Redshift, Fivetran, dlt, dimensional modeling, data engineering, data science (machine learning), and AI/LLM is a plus.- Candidates should be located in UTC-3 to UTC-8 time zones.

Become a Pioneer in the Sleep Fitness RevolutionAt Eight Sleep, our mission is to unlock human potential through the power of optimal sleep. As the world’s first sleep fitness company, we are innovating the concept of being well-rested and developing cutting-edge hardware, software, and AI technology to achieve this goal. Our products enhance peak mental, physical, and emotional performance by turning every night’s rest into a personalized, data-driven recovery experience. Trusted by elite performers, professional athletes, and health-conscious individuals across more than 30 countries, we’ve been recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and have earned two spots on TIME's “Best Inventions of the Year.” Operating as a high-performance team, we are fast, focused, and driven by impact. We prioritize iteration, refinement, and meticulous attention to detail to ensure our members sleep better and wake up stronger.Every position at Eight Sleep provides the opportunity to craft groundbreaking technology, collaborate with exceptional talent, and contribute to a future where sleep is an active tool for enhancing life quality. If you seek to break free from the ordinary and are passionate about pushing the boundaries of what is possible, this is your opportunity. Join us in leading the movement that is redefining how the world sleeps and maximizing our potential upon waking.Uncompromising StandardsWe operate with intensity because our mission demands it. At Eight Sleep, we embody the mindset of the world's top performers: focused, relentless, and always striving to excel in our craft. Think of Kobe Bryant’s mamba mentality, applied to innovative ideas, next-gen technology, and impeccable execution. This is not a conventional 9-to-5 role. Our team is deeply committed, often exceeding 60 hours a week—not because we are required to, but because we are invested in our mission. We are here to build rapidly, push limits, and deliver results without compromise. If you thrive under pressure and are eager to engage in the most meaningful work of your career, you’ll find your place with us. If you prefer an easier path—this is not the role for you.The OpportunityWe are looking for a Lead Data Scientist to join our Data & Analytics team within the Growth organization. This is not your standard analyst position; you will be the primary growth data scientist at Eight Sleep, taking ownership of sophisticated forecasting challenges that directly influence our supply chain, marketing expenditure, and overall business growth. The ideal candidate will possess extensive experience in time series forecasting, experimental design, and the ability to transform ambiguous business challenges into data-driven strategies.

Work from anywhere, impact everywhere Diversity is at the heart of Xapo Bank. Our fully distributed team of over 130 Xapiens operates remotely from more than 30 countries worldwide. Our mission: To promote economic freedom and wealth protection for individuals, regardless of their location or political climate.We strive to find the best talent globally, work diligently, think expansively, and inspire one another to learn and grow. We are dedicated to transforming traditional practices. Although we are headquartered in Gibraltar, this is a full-time, 100% remote position. Work from anywhere!Position OverviewWe are in search of a skilled Data Analyst to join our team. This position is pivotal in facilitating analytics to enhance financial decision-making, developing data products for the Finance and Treasury departments, and providing support to various areas within the data analytics team. The ideal candidate will possess a blend of profound technical skills and strong business insight, playing a crucial role in our financial operations and overarching data strategy.This role demands flexibility and comfort with rapidly changing priorities, with responsibilities spanning from comprehensive data analysis to handling ad-hoc requests and regular financial or regulatory reporting.Key ResponsibilitiesTransform data into strategic insights by analyzing transactional data and financial performance to foster Xapo’s growth.Summarize findings and clearly communicate them through visualizations and storytelling.Develop and manage comprehensive data pipelines.Create and maintain Looker dashboards for self-service analytics for stakeholders.Serve as a strategic partner to the Finance and Treasury teams, as well as other departments, translating business inquiries into technical data requirements.Assist stakeholders in interpreting and utilizing data in their daily operations, providing actionable recommendations based on analysis.Support the Finance and Treasury teams in identifying and achieving financial efficiencies.