business intelligence engineer

VDL Groep

<div>Ben jij een ervaren Business Intelligence professional die energie krijgt van het vertalen van data naar waardevolle inzichten? Wil je een sleutelrol spelen in de verdere digitalisering van een hightech productieomgeving en bijdragen aan de implementatie van een nieuw ERP-landschap? Dan is de functie van (Senior) Business Intelligence Engineer bij VDL ETG Almelo iets voor jou.<p>
De functie</p><p></p><p>
VDL ETG vervangt de komende jaren het huidige ERP-systeem BaaN IV door Infor LN. Onze werkmaatschappijen in Nederland, maar ook in Zwitserland, Singapore, China en Vietnam, stappen gefaseerd over op dit nieuwe platform. Binnen de afdeling Supply Chain Management / Digitalisering speel jij als Senior Business Intelligence Engineer een belangrijke rol in zowel de implementatie als het toekomstige beheer van de BI-omgeving.</p><p>
Je bent verantwoordelijk voor het ontsluiten, structureren en visualiseren van data uit verschillende bedrijfsprocessen. Daarnaast help je de organisatie verder te digitaliseren door processen te automatiseren met Power Automate en AI-oplossingen zoals Copilot.</p><p>
Je komt terecht in een klein en betrokken team van Business Intelligence Engineers en applicatiebeheerders. Daarbij werk je nauw samen met collega's van VDL IT, het Business Improvement Support Team en diverse lokale stakeholders. Je werkzaamheden bestaan onder andere uit:</p><ul><li>
Verzamelen, integreren en ontsluiten van data uit verschillende systemen zoals ERP, MES en Jungheinrich WMS
</li><li>Inrichten, beheren en optimaliseren van datamodellen en datastromen
</li><li>Ontwikkelen en onderhouden van database views en SQL-oplossingen
</li><li>Waarborgen van datakwaliteit, betrouwbaarheid en consistentie
</li><li>Analyseren van data om trends, inzichten en verbetermogelijkheden te identificeren
</li><li>Ontwikkelen, onderhouden en optimaliseren van dashboards en rapportages in Power BI
</li><li>Vertalen van businessvraagstukken naar slimme data-oplossingen
</li><li>Automatiseren van bedrijfsprocessen met behulp van Power Automate</li></ul><p></p><p>
Jouw kracht</p><p></p><ul><li>
I live in the Netherlands and I can speak Dutch at a professional level (level C1)</li></ul><p></p><p>
De kracht van VDL</p><p></p><p>
Bij VDL ETG Almelo werk je in een internationale industri&euml;le familieomgeving waar continu&iuml;teit en samenwerking voorop staan. Je kunt rekenen op een professionele maar informele werksfeer met open communicatie en uitstekende arbeidsvoorwaarden:</p><p></p><ul><li>
Een salaris passend bij jouw werkervaring en de uitdaging van deze functie
</li><li>27 vakantiedagen en 13 ADV dagen</li><li>
Een uitstekende pensioenregeling</li><li>
Een jaarlijks VDL-feest met alle collega&rsquo;s van VDL Groep</li><li>
Diverse collectiviteitsregelingen en personeelsaanbiedingen</li><li>
Deelname aan sportactiviteiten</li></ul><p></p><p>
Klaar om jezelf uit te dagen?</p><p>
#LI-LH1</p><div><p>
Wil jij producten maken die op het randje van het maakbare zijn? En werken met de allernieuwste technieken? Bij VDL ETG Almelo ontwikkelen en produceren we complexe en innovatieve modules en systemen waarvan anderen denken dat het onmogelijk is. Wij werken o.a. aan de verdere ontwikkeling van computerchips, het bestrijden van ziekten en het onderzoeken van het heelal.</p><p>
Hou je van complexe technische uitdagingen? En ben je pragmatisch en ambitieus? Dan maken we graag kennis met je!</p></div><h3 class="jobSectionHeader"><b>
Wij bieden</b></h3><ul><li>
Doorgroeimogelijkheden</li><li>
Open en informele werksfeer</li><li>
Afwisseling en uitdaging</li></ul><h3 class="jobSectionHeader"><b>
Jij bent</b></h3><ul><li>
Communicatief vaardig</li><li>
Een aanpakker</li><li>
Resultaatgericht</li></ul><h3 class="jobSectionHeader"><b>
Waarom VDL?</b></h3><ul><li>
Internationaal familiebedrijf</li><li>
Jouw inbreng telt</li><li>
Ontwikkeling &eacute;n productie</li></ul></div>

Business Intelligence Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Come be a part of a rapidly expanding $50 billion-dollar global business on its trajectory to $100B. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech, retail, and generative AI in the B2B space &mdash; developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination, and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.<br>
<br>
The Amazon Business Flywheel Inputs (ABFI) Analytics team is looking for a Senior Business Intelligence Engineer to build the measurement, reporting, and analytics foundations that power data-driven decisions and emerging generative AI experiences. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. Our team owns the measurement and analytics strategy for key AB problems including price optimization, selection expansion, operational excellence, and AI-powered customer experiences. Amazon Business is one of Amazon's fastest-growing business sectors. We need builders who can think big, dive deep, and translate complex data into actionable business insights. Come work with us if you are customer-obsessed, analytical, and excited about making history.<br>
<br>
As a Sr. Business Intelligence Engineer, you will partner closely with Product Managers, Software Developers, Applied Scientists, and business leaders to define success metrics, build scalable reporting solutions, and drive strategic decision making. You will develop robust data models and visualization products that enable stakeholders to monitor business performance, identify opportunities, and understand the impact of product and operational investments. The ideal candidate possesses strong business judgment, advanced SQL and analytical skills, expertise in data visualization and storytelling, experience conducting deep-dive investigations, and a passion for transforming complex datasets into clear and actionable insights. Experience leveraging generative AI tools to accelerate analysis, insight generation, and stakeholder self-service is highly valued.<br>
<br>
In this role, you will serve as an analytics thought leader, establishing measurement frameworks and KPI definitions that guide product and business decisions. You will partner with engineering and product teams to ensure high-quality telemetry is captured for existing and future product launches, enabling robust performance measurement and experimentation. You will design scalable reporting architectures, executive-facing dashboards, and self-service analytics solutions that integrate across Amazon Business Pricing, Selection, Managed Spend, and AI initiatives. You will drive root-cause analyses on ambiguous business problems, uncover strategic opportunities through deep analytical investigations, and influence the organization's approach to measurement, attribution, and data-driven decision making. You will also help shape the analytics foundations that power both traditional business intelligence and next-generation AI agent experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Designing, implementing, and maintaining scalable reporting solutions, dashboards, and analytics frameworks that provide visibility into key business and product performance metrics.</li></ul><br>
<ul><li>Partnering with Scientists, Product Managers, Software Engineers, and business stakeholders to define KPIs, establish measurement methodologies, and develop trusted source-of-truth datasets for decision-making.</li></ul><br>
<ul><li>Building and maintaining robust reporting pipelines, automated data validation processes, and monitoring mechanisms to ensure accuracy, consistency, and timeliness of business insights.</li></ul><br>
<ul><li>Developing scalable data models, semantic layers, and self-service analytics solutions that enable stakeholders to explore data independently and integrate insights across multiple business domains &mdash; including datasets that support AI-powered analytics and agent experiences.</li></ul><br>
<ul><li>Driving deep-dive analyses, root-cause investigations, and opportunity sizing exercises to uncover actionable insights and influence strategic business decisions.</li></ul><br>
<ul><li>Designing executive-facing visualizations, business reviews, and performance reporting mechanisms that communicate complex findings through clear data storytelling.</li></ul><br>
<ul><li>Establishing best practices for metric governance, experimentation measurement, attribution, and analytics engineering to improve trust and consistency across reporting ecosystems.</li></ul><br>
<ul><li>Force-multiplying analytical excellence across the organization by mentoring stakeholders on data-driven decision making, promoting self-service analytics, and fostering a culture of curiosity, innovation, and insight generation.</li></ul><br>
About the team<br>
Today, AB serves millions of business customers worldwide &mdash; from Fortune 500 enterprises and hospital systems to local governments and small businesses &mdash; and is on a trajectory to become a $100B business.<br>
<br>
The Amazon Business Flywheel Inputs (ABFI) Data &amp; Analytics team is the engine behind the data-driven decisions that power AB's growth flywheel. We own the metrics, insights, and data platforms that drive three of AB's most critical levers: Pricing Competitiveness, Selection Expansion, and Availability Optimization &mdash; across multiple marketplaces worldwide.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>7+ years of experience designing and developing scalable data models, semantic layers, and source-of-truth datasets that support self-service analytics, executive reporting, and business decision-making.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.</li><li>Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Sr. Business Intelligence Engineer

Symbotic

<div><p><b>Who we are</b></p><p>
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system &ndash; reinventing warehouse automation for increased efficiency, speed and flexibility.</p><p></p><div><p><b>
Who we are</b></p></div><p>
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system reinventing warehouse automation for increased efficiency, speed, and flexibility.</p><p></p><div><p><b>
What we need</b></p></div><p>
We are looking for an Advanced Business Intelligence Engineer to join our Business Intelligence &amp; Analytics team within our Software Engineering organization. Your job will be to design and build the data models, reports, and dashboards that turn complex operational data into actionable insights for our business and our customers.</p><p>
This is a hands-on role centered on modern BI development with tools like Qlik, Tableau, and Power BI on top of large-scale data warehouses. You will partner closely with business stakeholders to deliver analytics solutions while helping migrate our existing data lake to a new cloud platform.</p><p></p><div><p><b>
What we do</b></p></div><p>
The Business Intelligence &amp; Analytics team is part of the Software Engineering organization, which builds the intelligent software platforms that power Symbotic's advanced automation systems. The team builds and maintains the data warehouse and analytics environment that delivers operational metrics, warehouse reporting, and self-service insights across large-scale deployments &mdash; while modernizing that platform by migrating our data lake to the cloud.</p><p>
Our culture emphasizes thoughtful engineering, maintainable systems, technical rigor, and close collaboration with the business partners we serve.</p><p></p><div><p><b>
What you'll do</b></p></div><ul><li><p>
Design and build data models based on analytics and reporting requirements, data sources, and mapping specifications.</p></li><li><p>
Develop programs and code using advanced analytics tools such as Qlik, Tableau, and Power BI to visualize data and deliver insights from complex transformation and mapping specs.</p></li><li><p>
Provide technical thought leadership on BI tools and analytical concepts across analytics, reporting, and dashboard projects.</p></li><li><p>
Partner with business stakeholders to deliver system projects, including planning, resource management, and deliverables.</p></li><li><p>
Troubleshoot and resolve data and reporting issues using advanced problem-solving techniques.</p></li><li><p>
Provide level-of-effort estimates for new project work, enhancements, and fixes.</p></li><li><p>
Support the migration of our existing data lake to a new cloud platform.</p></li></ul><p></p><div><p><b>
What you'll need</b></p></div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.</p></li><li><p>
Minimum of 2 years of business intelligence and analytics experience, including interactive dashboards, QlikView, Tableau, NoSQL, and big data.</p></li><li><p>
Strong knowledge of data warehousing fundamentals, with hands-on experience designing large databases and data warehouses (logical and physical design) in a team environment.</p></li><li><p>
Proven experience across the full BI solution lifecycle analysis, design, development, testing, and implementation using data warehouse/data mart design, ETL, and client/server applications.</p></li><li><p>
Experience writing technical and functional design documents (TDD, FSD), test plans, gap analyses, and source-to-target mappings across Agile and Waterfall methodologies.</p></li><li><p>
Strong pattern recognition and predictive modeling skills.</p></li></ul><div><p>
Preferred qualifications</p></div><ul><li><p>
Knowledge of Python, Scala, and open-source data tools.</p></li><li><p>
Proficiency with version control tools such as Git, GitLab, and GitHub.</p></li><li><p>
Experience with wholesale and/or retail industry systems &mdash; procurement, merchandising, financial, warehouse, and retail.</p></li></ul><p></p><div><p><b>
Our environment</b></p></div><ul><li><p>
Remote. Up to 10% travel may be required to client and customer locations; a valid driver&rsquo;s license is required.</p></li></ul><p></p><p>
#LI-PA2</p><p>
#LI-Remote</p><p><b>
About Symbotic</b></p><p>
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world&rsquo;s largest retail, wholesale, and food &amp; beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.</p><p></p><p><br>
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work &ndash; for you and the world. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer.</p><p>
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.</p><p></p>
The base range for this position in the posted location is $101,000.00 - $138,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.</div>

Senior Business Intelligence Engineer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a highly analytical Business Intelligence Engineer to join Amazon&rsquo;s Global Accounting Business Intelligence and Analytics team.
<br>
<br>
The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in.
<br>
<br>
The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.
<br>
<br>
Key job responsibilities<br>
<ul><li>Collaboration and partnership with Accounting and software development teams driving enterprise level projects</li><li>Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders</li><li>Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines</li><li>Supporting the global accounting organization with various ad-hoc reporting, analyses, and data processing needs</li><li>Integrating AI capabilities into business intelligence operations, identifying opportunities to leverage AI for enhanced insights, optimization, and operational efficiency</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with SQL</li><li>Experience in the data/BI space</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul><br>
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.<br>
<br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, Accounting

ASICS

<p></p><div><div><p>At ASICS, we&rsquo;re more than just a brand; we're a movement. A movement of movement, propelled by the belief that motion strengthens the body and uplifts the mind. Our name itself, an acronym for &quot;Anima Sana in Corpore Sano&quot; (a Sound Mind in a Sound Body), encapsulates this commitment. Since taking our first step in Japan in 1949, our journey has been about more than just reaching the finish lines or clocking the fastest times. It's about the joy of moving and it's open to all.</p>
<p>If you're inspired to move yourself and the world toward a brighter, more inclusive future, we're looking for you.</p>
<p>Here at ASICS, we welcome diversity in our people, their backgrounds and life experiences. So, you could be the right person for this role regardless of your age, nationality, religious beliefs, or gender identification.</p>
<p><b>Your role in our shared journey</b></p>
<p>Located at our EMEA headquarters in Hoofddorp, near Amsterdam, you'll contribute to our mission by driving the development and optimisation of back-end Business Intelligence solutions that deliver actionable insights across the organisation. As a Senior BI Engineer, you'll lead critical initiatives in data governance, integration, and cross-functional collaboration whilst establishing best practices that enhance data literacy and BI adoption throughout EMEA.</p>
<p>Your role will be instrumental in weaving the fabric of our movement, bringing unique perspectives and driving innovation with every step.</p>
<p><b>Your key responsibilities will be:</b></p>
<ul><li>Define and prioritise technical requirements that align with the overall business strategy whilst translating complex business needs into effective technical solutions.</li>
<li>Lead data integration initiatives and orchestrate sophisticated data pipelines to ensure seamless data flow across the organisation.</li>
<li>Design advanced data models and database schemas whilst implementing comprehensive data transformation, cleansing, validation and enrichment processes.</li>
<li>Optimise database platforms to enhance performance, scalability and cost-effectiveness across all Business Intelligence operations.</li>
<li>Establish robust documentation and version control systems whilst ensuring full compliance with data privacy regulations and managing access controls.</li>
<li>Provide expert support and training to peers and stakeholders through effective troubleshooting and incident management approaches.</li>
<li>Drive Business Intelligence adoption and enhance data literacy across the EMEA organisation through continuous improvement initiatives and targeted development programmes.</li><br>
</ul><p><br>
<b>You have the following skills:
</b></p><ul><li>Extensive SQL and relational database expertise.</li>
<li>Strong hands-on experience with Snowflake and DBT; experience with complementary ETL solutions such as Azure Data Factory is preferred.&quot;</li>
<li>Bachelor's degree in Computer Science, IT, or a related field.</li>
<li>Experience establishing CI/CD standards for data engineering projects.</li>
<li>Demonstrated success leading significant ETL and database projects.</li>
</ul><p><b>Life at ASICS</b></p>
<p>When you join ASICS, you become part of something special. Here, your voice matters, your growth and wellbeing are important. We believe in fostering an environment where every step forward is celebrated, where diversity fuels our journey, and inclusion strengthens individuals. And together and as individuals we can inspire more people to move for body and for mind.</p>
<p><b>Our commitment to your wellbeing</b></p>
<p>We're dedicated to ensuring that every team member experiences the joy and benefits of movement. To support your wellbeing, we offer:</p>
<ul><li>Access to <b>office</b> <b>gym and sports membership discount</b>.</li>
<li><b>Exclusive 50% discount</b> on ASICS and ONITSUKA TIGER gear.</li>
<li><b>Unlimited access to the Calm app </b>for better sleep and mental fitness.</li>
<li>Complimentary premium <b>subscription to our Runkeeper Go&trade; app</b>.</li>
<li>A <b>comprehensive wellness programme</b> consisting of exercise and educational sessions.</li>
<li>Professional support and meditation classes are available through<b> OpenUp Access</b>.</li>
<li><b>Working abroad </b>for four weeks every year.</li>
<li><b>Hybrid working model</b>. Combine the flexibility of working from home with the dynamic energy of an office environment.</li>
</ul><p><b>How to Apply</b></p>
<p>Are you feeling inspired? We'd love to hear from you. Submit your application online and step into a role where you can truly make a difference. Let's move together, step by step, toward an uplifted world.</p></div></div><p></p>

WilmerHale

<div><div><p>WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.</p>
<p><b>
About the Role</b></p>
<p>
Responsible for the design, implementation, and maintenance of Microsoft Fabric artifacts including Lake House, Warehouse, Semantical Models, Pipelines, Notebooks, Reports, etc. Serve as an advisor to PowerBI report developers, providing guidance on dimensional modeling and tabular design best practices.</p>
<p><b>
What You Will Be Doing</b></p>
<ul>
<li>Responsible for ensuring alignment between the data analytics platforms (Data warehouse) environment and business requirements</li>
<li>Extends existing and creates new MS Fabric data solutions using the full breath of components available withing that platform. Using DAX scripting languages, tables, relationships, and roles in Semantic Models and the full depth of Lake House and Warehouse components currently hosted inside MS Fabric</li>
<li>Collaborate with a team of BI Engineers to identify and implement a path forward in leveraging AI assisted BI development in MS Frabric</li>
<li>Creates and delivers end-user training and documentation and provides second-line support to power users who develop reports on behalf of their departmental colleagues</li>
<li>Lead application deployments, upgrades, and patch planning</li>
<li>Participate and contribute to daily scrum meetings</li>
<li>Maintains awareness of technology developments and makes recommendations to the Manager, Data Analytics Services</li>
<li>Participate in software licensing and support agreement discussions</li>
<li>Assists with resolution of escalated incidents and participates in problem management activities. Assumes ownership of level 3 support and troubleshooting of assigned data solutions</li>
<li>Assists in evaluating the business relevance and requirements of projects under consideration</li>
<li>Maintain existing data solutions, design and build from the ground up new data solutions including data warehousing dimensional models</li>
<li>Mentor junior developers</li>
<li>Assumes additional responsibilities as assigned</li>
<li>Demonstrates a strong commitment to professionalism, delivering high-quality service, and maintaining a positive, solution-oriented (&ldquo;can-do&rdquo;) approach. Effectively supports internal departments, external clients, and vendors through clear, courteous communication via electronic correspondence, telephone, and in-person interactions.</li>
</ul></div><div>Required Skills
</div>
<div><p><b>What You Will Bring to This Position</b></p>
<ul>
<li>Hands-on experience with <b>Microsoft Fabric</b> (Lakehouse, Warehouse, Data Factory, Real-Time Intelligence)</li>
<li>Intermediate knowledge in developing Azure Data Factory pipelines to copy data from and to various sources and targets such as MSSQL, SharePoint and Excel is desirable .Experience in design, build, and management of scalable ETL/ELT data pipelinesExperience with <b>SQL</b> (T-SQL preferred) and basic <b>Python or PySpark</b> for notebook-based transformations</li>
<li>Experience with Devops version control and CI/CD for BI assets</li>
<li>Ability to configure and manage CI/CD (Continuous Integration/Continuous Delivery) in Microsoft Dev Ops, supporting Azure Data Factory and Microsoft SQL Stack (SSIS, SSAS, SSRS) is preferred</li>
<li>Working knowledge in performing data processing using Azure Data Factory, Azure Keyvault, Azure Logic Apps, Azure Storage Accounts is desirable</li>
<li>Excellent analytical skills, including the ability to perform advanced research that involves interpretation and analysis of data from a variety of sources</li>
<li>Translation of business questions and requirements into reports, views, and SQL queries</li>
<li>Expert knowledge of data warehouse architecture, data design patterns and data transformation best practices in environments of medium to large volume of data</li>
<li>Advanced hands-on experience with T-SQL, data warehouse concepts including dimensional modeling</li>
<li>Proficiency in <b>Power BI </b>&mdash; report development, semantic modeling, and deployment pipelines</li>
<li>Strong problem-solving and tenacity in creating solutions for complex and performant data challenges while handling hundreds of millions of records</li>
<li>Intermediate to advance knowledge of DAX Scripting Language</li>
<li>Knowledge in at least one scripting language for predictive analytics and data visualization. (R or Python) is a plus</li>
<li>Hands on expertise with implementation of MS Fabric Semantic Model orMS Analyses Services Cube using the Tabular model in a medium to large enterprise is required</li>
<li>Manages and maintains Power BI/Fabric gateways, including installation, configuration, user access, and troubleshooting data source connectivity issues</li>
<li>Demonstrates intellectual curiosity, and a self-directed approach to problem-solving. Takes initiative researching, experimenting, and troubleshooting before escalating blockers</li>
<li>Good knowledge of server hardware, server storage and other infrastructure, client/server applications, and server utilities</li>
<li>Expert knowledge of SQL Server 2016/2019/2022 and strong T-SQL skills is required</li>
<li>Strong discipline in following SQL coding styles which improves code readability and supportability</li>
<li>Experience supporting a 24x7 production environment</li>
<li>Ability to work effectively with both users and technical staff in team-oriented environments</li>
<li>Excellent oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel</li>
<li>Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures</li>
<li>Working knowledge of Information Technology Infrastructure Library (ITIL), Microsoft Operations Framework, ISO 9000 or similar process discipline is preferred</li>
<li>Remains open to technological change as generative AI becomes more integrated into the firm&rsquo;s practice, actively develop comfort with new tools, and adapt how work is performed to support efficiency and innovation</li>
</ul></div><div>Required Experience
</div><div><ul><li>3-6 years&rsquo; experience in data analysis and data warehousing, with significant specialization in one or more areas of the above-mentioned areas of technology required</li>
<li>1+ year of direct hands-on experience with at least two Microsoft Fabric item types: Lakehouse, Warehouse, Pipelines, or Semantic Models required</li>
<li>2 years of DAX scripting experience required</li>
<li>Experience with legal financial data models is a plus</li>
</ul>
<p><b>Education</b></p>
<ul>
<li>Bachelor&rsquo;s degree in computer science or related field; or equivalent work experience</li>
</ul>
<p><b>Why Join Us?</b></p>
<ul>
<li>A values‑driven firm that fosters collaboration and respect</li>
<li>The hiring range for this position is $150,000 - $185,300 annually, with final compensation based on experience, qualifications and internal equity.
</li><li>This position is eligible for a Hybrid Schedule</li>
<li>Medical, dental, and vision insurance
</li><li>401(k) with company match and profit-sharing options</li>
<li>Paid time off and holidays</li>
<li>For additional information about our benefits, please click here</li>
</ul>
<p><b>Our Commitment</b></p>
<p>
Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
</p><p>For more information about Equal Employment Opportunity, please click here.</p>
<p>
#L1-KB1</p>
<p>
#L1-Hybrid</p>
<p>
This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.</p>
</div>
<div>Job Location
</div><div>Boston, Massachusetts, United States
</div><div>Position Type
</div><div>Full-Time/Regular
</div><div>Salary
</div><div>150,000.00 - 185,300.00 USD</div></div>

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you excited to drive high-visibility, strategic Analytics solutions to help streamline Amazon's capacity planning? NACP - Analytics &amp; Science is seeking an experienced Senior BIE, to lead the business analytics, science &amp; automation in partnership with Data Scientists, Supply Chain leaders and Engineers. Our mission is to simplify analytics with innovative Data/Science products.<br>
<br>
This role is for a motivated individual with strong analytical, technical background to join us as Senior BIE. You will be responsible for designing and supporting best-in-class business analytics solutions and help leadership make impactful business decisions. You will own the design, development of analytics &amp; science solutions to support key Capacity Planning initiatives. You will continue to raise the bar for creating scalable, efficient , automated processes for large-scale data analysis.<br>
<br>
Key job responsibilities<br>
<ul><li>Partner extensively with Capacity Planning leaders and Supply Chain Planners proactively identify analytical needs, translate them to BIE/Science solution designs</li><li>Design, develop, test solutions to ensure data management processes, visualization outputs are accurately representing the business insights</li><li>Develop best practice to reduce coding effort by reuse where applicable; replace complex data handling steps with innovative design and simpler tools/utilities</li><li>Work backwards from business KPIs used in operational decisions to design predictive science-based automation solutions</li><li>Use AWS S3, Redshift, Athena, Quicksight, Tableau, LLM to produce reliable solutions. Enable seamless integration between BIE solutions and Strategic Planning, Excel models</li><li>Mentor BIEs on the team. Partner with Data Scientists, Data Engineers and Product Managers to identify innovation opportunities and scale solutions</li></ul><br>
A day in the life<br>
They collaborate directly with customers (Sr. Manager, Principal Supply Chain Managers and Principal PMTs) to translate business issues to technical opportunity statements/requirements along with design concepts.<br>
They collaborate cross functionally inspiring peers and stakeholders to adopt highest quality solutions and simplify processes.<br>
<br>
About the team<br>
NACP (North America Capacity Planning) oversees capacity planning for Amazon warehouses and IXDs. We plan and design Amazon warehouses and influence multiple retrofit projects to improve supply chain productivity. NACP is the cornerstone for optimizing ASIN placements in Amazon FCs, which improves Cost to Serve and Delivery Speed metrics for Amazon. The NACP team plays a critical role in establishing the foundation for Amazon warehouse network for maintenance and expansion over a 1-5 year horizon.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in statistics, data science, or an equivalent quantitative field</li><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually</div><p></p>

Senior Business Intelligence Engineer, NACP Analytics

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