Cint logo
Cint

Accelerating insights. https://www.cint.com/

Sr. BI & Data Architect [Fixed - Term Contract]

Data EntryData EntryFull TimeRemoteSeniorTeam 1,001-5,000Since 2004H1B No SponsorCompany SiteLinkedIn

Location

Czechia

Posted

73 days ago

Salary

0

Seniority

Senior

No structured requirement data.

Job Description

Sr. BI & Data Architect [Fixed - Term Contract]

Cint

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 Six 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.

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Cint logo

Sr. BI & Data Architect [Fixed - Term Contract]

Cint

Accelerating insights. https://www.cint.com/

Data Entry73 days ago
Full TimeRemoteTeam 1,001-5,000Since 2004H1B No Sponsor

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 Six 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.

Spain
The Cigna Group logo

Program Management Senior Advisor - Finance Data Office - Remote

The Cigna Group

At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers, and patients. Join us in driving growth and improving lives.

Data Entry73 days ago
Full TimeRemoteTeam 10,001+Since 1982H1B No Sponsor

This role is a remote opportunity only for those on the East Coast or in EDT. Role Summary The Program Management Senior Advisor is a leader responsible for driving complex, enterprise-wide Finance transformation programs while also serving as the operational and strategic partner to Finance Data & AI leadership. This role integrates program leadership, governance, organizational alignment, executive support, and change management to accelerate Finance’s evolution into a data-driven, AI-enabled organization. Impact of the Role By uniting strategic program leadership, governance rigor, change management expertise, and executive partnership, this role ensures the Finance Data & AI organization executes its most critical priorities with clarity, speed, and long-term impact, enabling Finance to operate as a modern, intelligent, and fully data‑driven function. Key Responsibilities 1. Program Leadership & Transformation Delivery - Lead large-scale, multi-year programs across Finance Data & AI, integrating data modernization, AI-enabled capabilities, and Finance process transformation. - Build and manage end‑to‑end program structures, roadmaps, milestones, risk frameworks, and success metrics. - Ensure programs deliver measurable outcomes aligned with Finance’s strategic goals, regulatory needs, and modernization agenda. - Facilitate strategic planning, aligning resources, roadmaps, and decision-making across the program. 2. Governance, Controls & Execution Excellence - Uphold disciplined governance routines, including portfolio health checks, risk/dependency tracking, and integrated reporting. - Ensure all workstreams adhere to standards for quality, timing, scope, budget, and compliance. - Align with Finance PMO, Finance Data Office, Technology, and Enterprise Transformation partners to drive consistency in delivery practices. 3. Strategic Leadership, Operating Rhythm & Executive Support - Serve as a trusted advisor to Finance Data & AI leadership, helping set strategic priorities, facilitate decision‑making, and resolve cross‑functional issues. - Own and manage the operating cadence for the organization (leadership meetings, business planning sessions QBRs, portfolio reviews, strategy sessions). - Craft senior leadership communications, presentations, dashboards, and strategic narratives that distill complex program and data/AI topics into actionable insights. - Monitor organizational priorities, anticipate emerging issues, and ensure leadership has visibility into risks, decisions, and resource needs. 4. Change Management & Organizational Readiness - Partner with the FDIO Change Management lead on the development and execution of change management strategies supporting Finance’s transformation efforts, including readiness assessments, impact analyses, and adoption roadmaps. - Drive clear, targeted communications to articulate the purpose, impact, and benefits of process, data, and AI changes across Finance. - Partner with transformation, training, and data/AI teams to ensure successful adoption of new tools, processes, and operating models. - Establish feedback loops, adoption KPIs, and reporting to measure change effectiveness and inform adjustments. 5. Executive Level Communication, Cross-Functional Collaboration & Team Leadership - Promote a culture of transparency, accountability, and continuous improvement. - Ensure strong alignment across Finance, Technology, Data Office, HR Finance, and other enterprise partners to support integrated execution. - Lead a team of program managers across the U.S. and global delivery centers. 6. 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If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

United States
Job Closed
Prosper logo

Sr. Director, Data Science

Prosper

Building the most inclusive and thriving economy in the Southeast

Data Entry73 days ago
Full TimeRemoteTeam 1-10Since 2021H1B Sponsor

Your role in our mission Prosper’s lending strategies have been powered by ML models since 2015 and continued to advance into new areas with proven performance and scalability. As the Sr Director of Data Science, you will build machine learning models for our Personal Loan and Credit Card business and closely work with credit strategy teams and third-party solution providers. In this role you will work with a fast-paced and talented team that values innovation and teamwork. We value the right talent, so you can work remotely in the U.S. How you’ll make an impact - Lead a team to build cutting-edge machine learning models for our personal loan and credit card acquisition credit strategies (Underwriting/Line Assignment/Pricing) , as well as card credit management programs, such as credit line management, transaction fraud, payment fraud etc. - Apply your knowledge in data, modeling, and in-depth business expertise to design and develop critical ML/AI models to drive the growth of the business - Collaborate with cross-functional teams to manage the entire modeling cycle including model design, development, evaluation, validation, and performance tracking - Evaluate third party solutions with strong business acumen to deliver results with high ROI - Demonstrate exceptional business communication skills to translate complex modeling work into tangible business results - Lead by example to show passion and enthusiasm towards new challenges and never cease to challenge the status quo Skills that will help you thrive - 12+ years of experience in credit card modeling or consumer lending business - 7+ years of people leadership experience - M.S. or PhD required, preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field - A strong machine learning education background and experienced in applying the skills to solve business problems - Ability to formulate business problems and guide the team to deliver the results expected in an agile and fast-paced environment - Demonstrated track record of organizational skills to provide viable options to balance the time-to-market expectations and the organizational cost of the changes - Outstanding communication skills – ability to effectively communicate complex concepts in plain English, and comfortable with technical details to communicate with cross-functional stakeholders - Comfortable to use Google Cloud data environment and broad stack of technologies such as Python, Spark, SQL and Tableau - Familiar with regulatory guidelines in lending business What We Offer - The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives - The opportunity to work in a fast-paced environment with experienced industry leaders - Flexible time off, comprehensive health coverage, competitive salary, paid parental leave - Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts - A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts $240,000 - $330,000 a year The salary for this position is $240,000 - $330,000 annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors. #LI-AW1 #IND1 #LI-Remote About Our Technology Team We are growing our Technology team to support our various financial products. The ideal candidate is passionate about learning the Fintech domain and delivering cutting-edge, high-quality solutions to solve business problems. We utilize a progressive, test-driven, Agile development methodology that places a high premium on communication, teamwork, sound design and clean implementation. About Us Founded in 2005, Prosper introduced U.S. consumers to an innovative new approach to personal finance called peer-to-peer lending. Twenty years later, Prosper has helped over 2 million customers achieve financial well-being through a comprehensive suite of products. Prosper’s flagship personal loan marketplace continues to offer a unique value for borrowers and investors alike. Home equity loans and lines of credit through Prosper provide homeowners a range of options and choices for tapping into the equity they’ve worked hard to build. The Prosper® Card supports people seeking access to credit and flexibility in managing their finances. Regardless of the product, Prosper is dedicated to meeting people where they are in their financial journey, in order to advance their financial well-being. We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all! Our Values Diversity expands opportunities Collaboration creates better solutions Curiosity fuels our innovation Integrity defines all our relationships Excellence leads to longevity Simplicity guides our user experience Accountability at all levels drives results www.prosper.com Our Story & Team // Our Blog Applicants have rights under Federal Employment Laws. Family & Medical Leave Act (FMLA) Equal Employment Opportunity (EEO) Employee Polygraph Protection Act (EPPA) California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA. At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being. Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.

United States
$240K - $330K / year
Full TimeRemoteTeam 10,001

To be eligible for this position, you must reside in the same country where the job is located. IQVIA Digital powers exceptional brand experiences, delivering innovative solutions based on a customer-first, insights-driven, and integrated omnichannel vision. We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose healthcare technology, and the expertise to enable an effective and adaptable marketing model that drives better quality of care and patient outcomes. IQVIA is the leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry. Learn more at www.iqviadigital.com IQVIA Digital, an IQVIA business, is the leader in HCP (Healthcare Professional) data solutions fueling digital advertising campaigns across the wide array of platforms in the industry. We provide flexible and unique data solutions for programmatic display, paid social, email and Advanced TV campaigns. We deliver solutions to and partner with Advertising Agencies, Pharmaceutical, BioPharma and Medical Device manufacturers. IQVIA has the largest firstparty HCP database allowing for audience identification, delivery, and measurement of omnichannel digital campaigns that can leverage a database of over10 million Physicians, Nurse Practitioners, Allied Health, and Hospital Professionals. Position Overview The Data Quality & Analytics Manager ensures that all file deliveries meet order requirements, performs quality checks on file contents, and reports any delivery issues or data discrepancies. This role supports internal and external clients by upholding the highest standards of data quality and compliance throughout the delivery process. Essential Functions Review and verify that all delivered files meet specified order requirements and client expectations. Perform detailed quality control checks on file contents, ensuring accuracy, completeness, and compliance with data governance standards. Document and report any issues, discrepancies, or failures in file delivery to relevant stakeholders promptly. Collaborate with internal teams (Delivery, Data Management, Product, and Governance) and external vendors to resolve QC issues efficiently. Maintain accurate records of QC checks, issue logs, and resolutions for audit and continuous improvement purposes. Prepare and present QC reports and summaries for internal and client review. Identify recurring issues or process gaps and propose solutions to enhance data quality and delivery reliability. Support onboarding of new data sources by validating test/sample files and ensuring they meet QC standards before release. Meet service level agreements (SLAs) for QC response times and issue resolution. Technical QC Tools & Methods Data Validation Tools: SQL-based validation scripts for data integrity checks Python or R for automated QC workflows Excel with advanced formulas and macros for quick audits File Transfer & Monitoring: FTP/SFTP tools for secure file delivery verification Automated checksum/hash verification (MD5, SHA) Reporting & Issue Tracking: Power BI or Tableau for QC dashboards Adobe Workfront for issue logging and resolution tracking Compliance: Automated schema validation against predefined standards Required Skills Strong attention to detail and ability to systematically review large data files for errors or inconsistencies. Experience with data file formats (CSV, Excel, TXT) and data management tools; familiarity with FTPs preferred. Ability to communicate QC findings clearly in both written reports and verbal updates. Proactive problem-solving skills and willingness to escalate issues when necessary. Strong organizational and time management skills; able to manage multiple QC tasks simultaneously. Proficiency in Microsoft Office (especially Excel and Outlook), programming languages (like SQL, Python) and reporting tools (PowerBI). Previous experience in data quality control, data management, or a related field is preferred. Qualifications Bachelor’s Degree required; advanced degree in a relevant field is a plus. 3+ years of experience in data quality control, data delivery, or data management. Experience working with healthcare, life sciences, or HCP data is a plus. Demonstrated ability to work collaboratively across teams and with external partners. Knowledge of data privacy, governance, and compliance standards. #iqviadigital IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $74,100.00 - $185,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

United States
$74.1K - $185K / year
Job Closed