Title: Technical Manager, Data Architecture & Analytics Location: Remote - USA ID QRR-4298 Job Description: Model of Work: Hybrid if located in Houston, TX or Remote with Travel if the work location is US – Remote Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic environment? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation. Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies. Overview The Technical Manager, Data Architecture & Analytics will lead the architecture, operations, and enhancement of Quorum’s enterprise data and analytics platforms, spanning Databricks, Azure Data Factory, Power BI, and Tableau. This role is responsible for aligning business processes with data-driven insights, ensuring the enterprise data warehouse delivers measurable business value. The Technical Manager will oversee data pipelines, semantic models, and dashboards while driving and developing AI-based and predictive analytics to support smarter business decisions across Finance, Sales, and Operations. This role plays a critical part in advancing Quorum’s digital transformation by enabling data-driven decisions and delivering unified insights that empower operational excellence across global teams. This position is ideal for a technically hands-on leader-technician who can connect architecture, analytics, and business process improvement to deliver actionable intelligence. Responsibilities Data Architecture & Engineering - Own and maintain the technical architecture of Quorum’s Enterprise Data Warehouse (Databricks, Azure Data Factory, SQL). - Design and implement scalable data models that represent business processes and operational metrics. - Manage data ingestion pipelines from systems such as Salesforce, NetSuite, Workday, and other enterprise platforms. - Ensure reliability, scalability, and cost optimization of data pipelines and infrastructure. - Define standards for data quality, refresh cadence, and model performance. Analytics & Business Process Enablement - Translate business workflows into analytical models and visualizations that drive insight and accountability. - Manage and optimize Power BI and Tableau workspaces, ensuring accurate, timely, and consistent reporting delivery. - Collaborate with business teams to build dashboards that monitor performance, revenue, renewals, and churn metrics. - Align analytics design with operational processes to ensure business users can make real-time, data-informed decisions. - Deliver and maintain core dashboards such as Master FP&A, SARR, and Executive Bookings Reporting. Team Leadership - Lead and mentor a distributed team of data engineers and BI developers. - Oversee sprint planning, task prioritization, and quality control for deliverables. - Promote continuous learning around advanced analytics, data automation, and visualization techniques. - Strategic thinker who can understand the business, translate complex data into actionable business insight. - Ability to understand the business and design Cross-Functional Collaboration - Partner with Enterprise Architecture, Security, and Business teams to align standards, compliance, and data integrity. - Work closely with stakeholders across Finance, Sales, and Operations to understand needs and translate them into technical solutions. - Act as the technical bridge between raw data and business value realization. - And other duties as assigned. Requirements - Bachelor's degree in Computer Science, Information Systems, or related field. - 5+ years of combined experience in data architecture, data engineering, or BI, with at least 2+ years leading teams. - Proven experience with Azure Data Factory, Databricks, Power BI, Tableau and SQL. - Strong understanding of data modeling, semantic models, and dimensional design. - Hands-on experience with AI/ML frameworks for predictive analytics. - Excellent problem-solving, documentation, and communication skills with the ability to bridge technical and business discussions. - Experience in agile delivery environments and version-controlled development (e.g., Git, ADO). Additional Details - Salary commensurate with experience ($110,900 - $147,800 US Dollars) with bi-weekly pay via direct deposit. Posted salary ranges are made in good faith. Quorum Software reserves the right to adjust ranges depending on the qualifications, experience, training, work history, and geographic location of the selected candidate. - Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver’s License Verification and passport/ID validation. - Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable. About Quorum Software Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com. Quorum Diversity Statement:At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique. Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Recruitment Scam Alert: Quorum Software does not charge fees, request payments, conduct interviews via messaging apps, or request the installation of software at any stage of the recruitment process. All legitimate recruitment activities are conducted exclusively through our official careers website (www.quorumsoftware.com/careers) and email addresses ending in @quorumsoftware.com. Any communication that does not originate from these official channels should be considered unauthorized and may be reported to careers@quorumsoftware.com

Role Description This role is being offered on a 12 Month Fixed Term Contract. Are you experienced in working with SQL, Databricks, and cloud-based data platforms to deliver high-quality data solutions? Do you enjoy solving complex data challenges, improving processes, and working collaboratively within agile delivery teams? Can you support and optimise data pipelines, deployments, and reporting services while helping drive continuous improvement and automation? If so, we’d love to hear from you! As a Data Development & Support Analyst at LI, you will support and enhance our data platform and reporting services, ensuring data pipelines run efficiently and data is accurately delivered into our Azure Data Lake, Data Warehouse, and Power BI reporting environments. Working within an agile team, you will support CI/CD release processes, manage deployments into pre-production and production environments, and help deliver continuous improvements across the platform. You will also manage data extracts for internal and external stakeholders, identify opportunities to improve data ingestion processes, and drive automation, monitoring, performance, and service reliability improvements. The role will involve working within Azure DevOps to manage Epics, Features, User Stories, and Tasks, helping to support effective planning and delivery across the team. Responsibilities - Supporting and maintaining efficient and effective data collection and reporting processes - Carrying out vigorous testing and quality assurance to ensure any improvements to existing systems or new systems produce accurate information to a high quality - Using Azure DevOps to build and deploy code to different environments - Managing ad hoc data requests to support stakeholder needs - Actively investigating ways of utilising the Azure stack and Databricks platforms to present data in clear, concise, and innovative ways - Working closely with Business Analysts and Data Engineers to develop innovative data solutions - Using the Service Now ITSM tool to manage tickets, service requests, incidents and problems to a timely conclusion - Complying with Data Protection Act and security and confidentiality rules - Keeping abreast of appropriate industry and technological developments and applying to LI’s technical capability - You may be required to undertake other duties assigned by your line manager as appropriate Qualifications - Strong experience in querying and manipulating databases using SQL - Good working knowledge of Databricks and Python - Experience of data ingestion processes and data warehousing principles - A solid understanding of cloud computing technologies and environments - Strong analytical and problem-solving skills with excellent attention to detail - Excellent communication and collaboration skills, with the ability to work effectively across teams and stakeholders - The ability to work independently while also contributing positively within a team environment - Adaptability and flexibility in responding to changing business needs and priorities - Experience working within Agile delivery environments and SCRUM teams - Experience using Azure DevOps to manage tasks, workloads, and delivery activities - Familiarity with the Azure Cloud Platform and associated services Benefits - A fully remote and flexible working set up - 25 days annual leave, increasing by 1 day each year of service up to maximum of 30 days (plus Bank Holidays) - 1 Privilege Day - 4 x annual salary Life Assurance - Market leading pension scheme through Legal & General - Enhanced Family Friendly Policies - Excellent learning, training, and career development opportunities - 24/7 access to our Employee Assistance Programme - A diverse and inclusive culture where everyone is respected and valued

Role Description We are hiring a Data Analyst to play a key role within the AI product team, ensuring data-driven accuracy in decision-making while evaluating, improving, and scaling AI-powered solutions in production. This is a highly strategic, fast-paced role focused on measuring the real impact of AI agents and LLM-based systems, turning ambiguous problems and incomplete data into accurate decisions. Qualifications - 3+ years of hands-on experience as a Data Analyst working with product or platform data - Strong proficiency in Python for analytical work and ability to independently investigate data on the level of datapoints, build structural analyses, and present results - Confident SQL skills with experience working on complex queries - Experience building production-grade dashboards in BI tools, preferably in Tableau - Clear understanding of how LLM-based systems operate, including their limitations, failure modes, and trade-offs - Strong problem-solving and ownership mindset: you take responsibility for analytical outcomes, not just task execution - Ability to work in fast-changing, ambiguous environments and quickly learn new AI-related technologies - Proven experience linking product quality metrics to business impact and decision-making - Fluent Russian; English level B2 or higher - Ability to work CET-overlapping hours Requirements - Experience evaluating or analyzing AI / ML / LLM products - Experience with dialog systems or conversational agents - Understanding of model quality metrics and evaluation approaches Responsibilities - Analyze the performance and impact of AI initiatives already running in production - Develop and maintain dashboards that provide transparency into AI agent performance - Investigate issues, inconsistencies, and performance drops across automated user journeys - Design and implement evaluation approaches to measure system quality and user experience - Identify opportunities where automation improves outcomes, as well as areas where it introduces friction - Track adoption and effectiveness of automation across the product and support its further evolution - Partner closely with Product, Engineering, and QA teams to support data-informed decisions Benefits - Health insurance after probation period - Sports & wellness compensation - Fully remote, long-term B2B collaboration - 19 working days of vacation per year - 3 additional wellness days per year - Paid sick leave for the first 5 working days - Gifts to employees for important events - Personalized English lessons via Preply

Role Description Für unseren Kunden suchen wir einen erfahrenen Data Analyst zur Unterstützung im Bereich Data Migration. In dieser Funktion arbeiten Sie in einem Software-Engineering-Team an der Weiterentwicklung von Data-Migration-Services, um neue Kunden an bestehende Steuerlösungen anzubinden. - Analysieren komplexer Datenstrukturen und Datenbestände mittels SQL-Abfragen - Identifizieren von Abhängigkeiten und Spezifizieren von Mapping-Logiken für Datentransformationen gemeinsam mit Produkt-Teams und Kunden - Definieren von Testszenarien zur Sicherstellung der Datenintegrität und Datenqualität über den gesamten Migrationsprozess hinweg - Analyse von Fehlerbildern und Erarbeitung von Lösungsansätzen im Team - Erstellung von KPI-Dashboards und Auswertungen für interne und externe Stakeholder Qualifications - Abgeschlossenes Studium in (Wirtschafts-)Informatik oder Betriebswirtschaft mit IT-Bezug (Uni/FH/HF) - Mehrjährige praktische Erfahrung in der Datenanalyse mit SQL - Sehr gutes analytisches Denkvermögen und Verständnis für komplexe Zusammenhänge - Erfahrung in der Spezifikation von Datenmigrationen und Datentransformationen - Erfahrung in der Definition und Durchführung von Testszenarien zur Datenqualitätssicherung - Erfahrung in der Erstellung von KPI-Dashboards und Reports - Starke Kommunikationsfähigkeiten und adressatengerechte Vermittlung von Inhalten - Sicheres Auftreten sowie lösungsorientierte und pragmatische Arbeitsweise - Sehr gute Deutschkenntnisse (mindestens C1) und gute Englischkenntnisse Company Description IQ PLUS ist das spezialisierte Unternehmen für höchst qualifizierte IT-Fachleute auf Zeit. Und das seit über 30 Jahren und in jedem IT-Bereich.