• Own, maintain, and optimize the company's core internal platforms including the Applicant Tracking System, ERP, and intranet/knowledge base. • Serve as the internal point of contact and subject matter expert for each platform, including managing user access, configurations, and vendor relationships. • Identify integration opportunities and workflow improvements across tools to reduce manual work and improve data flow. • Evaluate and onboard new tools as the company's operational needs evolve. • Establish and maintain data verification and quality control processes across internal systems. • Conduct regular audits of records, project data, contract information, and recruiting pipelines to ensure accuracy. • Develop and enforce data entry standards and SOPs to minimize errors at the source. • Partner with Finance, HR, and Program Management to resolve data discrepancies quickly. • Build and maintain a structured, navigable collaboration workspace that serves as the company's single source of truth. • Design and manage templates for recurring company processes including onboarding, project kickoffs, SOPs, and meeting notes. • Ensure company information in the Intranet is current, accurate, and consistently organized. • Train and support staff on effective usage. • Build and maintain operational dashboards that surface key metrics across recruiting, staffing, project performance, and financials. • Generate recurring and ad hoc reports for leadership • Translate raw operational data into clear, actionable insights. • Support the CEO and department heads with data-driven analysis for strategic decisions.

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate (EED) delivers science and technology solutions for the nation’s biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation’s power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Electricity Infrastructure and Buildings Division (EI&BD), part of EED, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. Within this division, the Power System Modeling Group (PSMG) develops advanced simulation, analysis, and optimization tools to understand and enhance grid performance across all levels, from the bulk energy system to the distribution grid. Responsibilities PNNL seeks a creative and inter-disciplinary power system engineer to develop model enhancements for conventional power system models (primarily production cost models and expansion planning models) to represent changing system constraints and dependencies imposed by the rapid growth of our Nation’s energy system. The selected candidate is expected to participate in the development, deployment, and application of open-source power system models that integrate tools for capacity expansion, resource adequacy, production cost modeling, and powerflow to answer complex questions across multiple modeling regimes. The successful candidate will use integrated, multi-scale models to explore and quantify the benefits of novel management and optimization strategies that coordinate electric power decision considering evolving policies and new load paradigms. The candidate will use these tools to investigate how policies and incentives will impact our nation’s electrical infrastructure and recommend strategies to mitigate future challenges. Key Responsibilities: The successful candidate would be expected to be a senior subject matter expert to projects within their field of specialization. The position will lead teams of junior scientists and engineers and will be responsible for delivering technical tasks with the level of quality, timeliness, and cost, to meet required project and client expectations. The desired engineer will: - Provide subject matter expertise within multi-disciplinary teams with a focus on power system optimization, resource adequacy, reliable capacity expansion, and the related policies that must be enacted. - Provide electric system simulations with a good working knowledge of grid topology and transmission planning, operational costs and optimization, system constraints, and financial analysis. - Lead model enhancements activities and participate in the design of simulation experiments, evaluation of technology performance, or development of scientific and engineered solutions to assess or solve a variety of technical problems. - Broadly apply theory to the development and implementation of new tools including applications, algorithms, models, and visualization. - Publish research results, targeting peer reviewed journals and other written reports. - Build strong teams for project execution that transfer knowledge through the organization. - Mentor junior staff and other engineers and collaborate with senior level staff from within PNNL. - Travel to execute projects, build relationships, and grow leadership in the field. - Manage individual tasks or projects; including directing other staff, ensuring milestones are met, and communicating with senior management. - Ensure safe operating practices are followed. - Effectively communicate engineering challenges and solutions to a wide range of audiences. - Effectively communicate with senior engineers to ensure high-quality delivery of research projects on budget and on time. - Ability to deal with ambiguity. On-site in Richland, WA is strongly preferred; remote work may be considered. Qualifications Minimum Qualifications: - BS/BA and 5+ years of relevant production cost and expansion planning model work experience -OR- - MS/MA and 3+ years of relevant production cost and expansion planning model work experience -OR- - PhD with 1+ year of relevant production cost and expansion planning model experience Preferred Qualifications: - Experience in using and/or contributing to the development of large-scale power system optimization models, using either commercial or open-source tools. - Understanding of power grid operations, transmission and resource planning, and long-term investment. - Knowledge of utility industry economics and business processes. - Broadly apply principles, standards work, theories and concepts of systems engineering to the development and implementation of new tools including applications, algorithms, models, and visualization techniques. - Experience in grid applications, software development, or active participation in related national and international forums for power system modeling. - Experience in stochastic optimization and dynamic programming. - Fluency in one or more programming or scripting languages (e.g., GAMS, Julia, perl, Python, etc.). - Experience working in an inter-disciplinary team. - Demonstrated success of articulating research through publications, particularly in top-tier journals. About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $122,100.00/Yr. Maximum Salary USD $193,000.00/Yr.

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate (EED) delivers science and technology solutions for the nation’s biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation’s power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Electricity Infrastructure and Buildings Division (EI&BD), part of EED, is accelerating the transition to an efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive innovation, transform markets, and shape energy policy. Within this division, the Power System Modeling Group (PSMG) develops advanced simulation, analysis, and optimization tools to understand and enhance grid performance across all levels, from the bulk energy system to the distribution grid. Responsibilities PNNL seeks a creative and inter-disciplinary power system engineer to develop model enhancements for conventional power system models (primarily production cost models and expansion planning models) to represent changing system constraints and dependencies imposed by the rapid growth of our Nation’s energy system. The selected candidate is expected to participate in science-based, mission-focused research to develop complex solutions integrating a wide range of power system tools to enhance the security of our nation’s energy system. The successful candidate will use integrated, multi-scale models spanning capacity expansion, production cost modeling, and powerflow to explore and quantify the impacts of real-world events on energy system performance. The candidate will use these tools to develop and investigate mitigating techniques to affordably improve the reliability and resilience of critical energy infrastructure. Key Responsibilities: The successful candidate would be expected to be a senior subject matter expert to projects within their field of specialization. The position will lead teams of junior scientists and engineers and will be responsible for delivering technical tasks with the level of quality, timeliness, and cost, to meet required project and client expectations. The desired engineer will: - Provide subject matter expertise within multi-disciplinary teams with a focus on power system optimization, resource adequacy, reliable capacity expansion, and the related policies that must be enacted. - Provide electric system simulations with a good working knowledge of grid topology and transmission planning, operational costs and optimization, system constraints, and financial analysis. - Lead model enhancements activities and participate in the design of simulation experiments, evaluation of technology performance, or development of scientific and engineered solutions to assess or solve a variety of technical problems. - Broadly apply theory to the development and implementation of new tools including applications, algorithms, models, and visualization. - Publish research results, targeting peer reviewed journals and other written reports. - Build strong teams for project execution that transfer knowledge through the organization. - Mentor junior staff and other engineers and collaborate with senior level staff from within PNNL. - Travel to execute projects, build relationships, and grow leadership in the field. - Manage individual tasks or projects; including directing other staff, ensuring milestones are met, and communicating with senior management. - Ensure safe operating practices are followed. - Effectively communicate engineering challenges and solutions to a wide range of audiences. - Effectively communicate with senior engineers to ensure high-quality delivery of research projects on budget and on time. - Ability to deal with ambiguity. On-site in Richland, WA is strongly preferred; remote work may be considered. Qualifications Minimum Qualifications: - BS/BA and 5+ years of relevant production cost and expansion planning model work experience -OR- - MS/MA and 3+ years of relevant production cost and expansion planning model work experience -OR- - PhD with 1+ year of relevant production cost and expansion planning model experience Preferred Qualifications: - Experience in using and/or contributing to the development of large-scale power system optimization models, using either commercial or open-source tools. - Understanding of power grid operations, transmission and resource planning, and long-term investment. - Knowledge of utility industry economics and business processes. - Broadly apply principles, standards work, theories and concepts of systems engineering to the development and implementation of new tools including applications, algorithms, models, and visualization techniques. - Experience in grid applications, software development, or active participation in related national and international forums for power system modeling. - Experience in stochastic optimization and dynamic programming. - Fluency in one or more programming or scripting languages (e.g., GAMS, Julia, perl, Python, etc.). - Experience working in an inter-disciplinary team. - Demonstrated success of articulating research through publications, particularly in top-tier journals. Additional Information This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct. Requirements: - U.S. Citizenship - Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B. - Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. Testing Designated Position This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program. About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $122,100.00/Yr. Maximum Salary USD $193,000.00/Yr.

Company Description Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description Cint is seeking a Senior BI Data Architect (Infrastructure & Optimization) to lead the technical evolution of our data platform for a period of 6-8 Months Fixed-Term Contract. This is a hands-on architecture role at the intersection of data engineering and business intelligence — one where your decisions will directly shape how the business operates and makes decisions at scale. You will own the design and implementation of our Databricks Lakehouse, drive the migration of complex legacy SQL into clean, governed pipelines, and build the semantic layer that powers self-service analytics in Omni. If you are energized by performance optimization, dimensional modeling, and infrastructure that lasts — this role was built for you. Responsibilities - Design and implement the Unity Catalog structure — Catalogs, Schemas, and Volumes — to create a governed, secure, and well-documented data environment that serves as a Single Source of Truth across the organization. - Lead the migration of complex business logic from legacy systems into a unified Databricks Lakehouse, refactoring tightly coupled SQL into modular, maintainable, and performant code. - Architect our internal transformation framework using open-source tooling (Delta Live Tables or custom Python/SQL Spark pipelines), building scalable pipelines without reliance on managed SaaS platforms. - Serve as the resident query performance expert — analyze Spark execution plans and Spark UI to diagnose bottlenecks, reduce data skew, and optimize join strategies on large-scale datasets. - Govern our Databricks compute footprint through strategic application of Z-Ordering, Liquid Clustering, partition design, and Serverless SQL Warehouse configurations to maximize performance per dollar. - Build and maintain CI/CD pipelines (GitHub Actions or equivalent) to automate testing, validation, and deployment of data models. - Architect the semantic layer in Omni — designing data models built for self-service reporting with sub-second dashboard latency. - Occasionally take on the BI Developer role, building executive-level dashboards that surface clear, actionable narratives from complex datasets. - Partner with cross-functional stakeholders across Finance, Sales, Product, Marketing, and Trust & Safety to translate business questions into scalable data solutions. - Translate performance and cost metrics into clear recommendations for senior leadership, balancing engineering rigor with business impact. Qualifications Qualifications Required - 8+ years in Data Engineering or Data Architecture, with deep, hands-on experience in the Databricks ecosystem (Unity Catalog, Delta Lake, SQL Warehouses). - Expert-level SQL and distributed computing skills — you can diagnose exactly why a query is slow and implement the fix across Spark execution plans, joins, and data skew scenarios. - Demonstrated experience in query optimization and data platform migration, including refactoring legacy SQL and migrating from systems such as Snowflake, Redshift, or SQL Server into a Lakehouse architecture. - Proven experience building data transformation workflows using Delta Live Tables or custom Python/SQL Spark pipelines. - Strong command of dimensional modeling (Star and Snowflake schemas) and how to apply these patterns within a Lakehouse environment. - Hands-on Unity Catalog experience, including permissions management, data lineage, and catalog governance. - Fluency with Delta Lake internals — OPTIMIZE, Z-Order, Liquid Clustering, VACUUM, and file management strategies. - Hands-on experience with Omni or a comparable modern BI semantic layer (Looker, Metabase, Superset) — you can build and govern a semantic model, not just consume one. - Experience with CI/CD pipelines and version control workflows (Git / GitHub Actions or similar). Essential Qualities - You think in systems, not just queries — you design for reuse, performance, and longevity. - You are comfortable navigating ambiguity and can move from whiteboard to working pipeline without waiting for perfect specifications. - You can distill complex technical trade-offs into language that lands with non-technical senior stakeholders. - You are self-directed and ownership-driven — you treat the data platform as your own product. - You can balance the competing needs of different departments while maintaining a unified data standard. Nice to Have - Experience with dbt Core (OSS) or a similar SQL-based transformation framework; familiarity with transformation layer best practices is a strong asset. - Familiarity with Databricks Genie Spaces or AI/BI features for natural language querying. - Experience supporting embedded analytics or multi-tenant reporting environments. - Background in the digital insights, market research, or programmatic technology space. Additional Information #LI-Remote #LI-JM1 Our Values Collaboration is our superpower - We uncover rich perspectives across the world - Success happens together - We deliver across borders. Innovation is in our blood - We’re pioneers in our industry - Our curiosity is insatiable - We bring the best ideas to life. We do what we say - We’re accountable for our work and actions - Excellence comes as standard - We’re open, honest and kind, always. We are caring - We learn from each other’s experiences - Stop and listen; every opinion matters - We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com) Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.