Role Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is remote, meaning it will be performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. This role is part of LinkedIn’s broader effort to build and scale an in-house owned media agency, including the creation of tools that will significantly increase production speed and operational efficiency. As such, the position is structured as a 12-month contractor role. This role will be based in Mexico City, Mexico. The Owned In-House Agency Team supports the LinkedIn Owned Media team, which leads channel strategy, prioritization, and performance across Email and LinkedIn Ads. This team partners closely with Owned Media to bring campaigns to life at scale, ensuring high-quality execution and operational excellence across a complex portfolio. This includes driving execution of campaign builds, QA, and reporting insights based on the Owned Media team's strategy and priorities. This team also plays a key role in enabling efficiency and consistency through the use and enablement of technology, automation, and tooling -- delivering impact through execution, scalability, and continuous improvement within a high-performing marketing organization. This role is responsible for driving performance visibility, insights, and optimization across Owned channels. Working closely with internal stakeholders and partners, this role plays a critical part in identifying trends, improving channel health, and informing strategic decisions to maximize marketing effectiveness. The manager will regularly share performance insights with key stakeholders through dashboards and reports, ensuring data-driven decisions across the organization. Additionally, this role will track, monitor and manage any data issues as they relate to the Owned tools and platforms. You will also define technical requirements that support automated reporting and analytics initiatives. Responsibilities - Build and maintain performance dashboards and reporting views to track key metrics - Ensure accuracy and consistency of data across reporting tools, spreadsheets, and presentations - Proactively monitor and analyze performance trends, identifying both positive and concerning signals - Regularly share performance updates and insights on campaigns and horizontal initiatives with internal stakeholders, including Owned Media FTEs and BU Marketers - Provide clear, data-driven recommendations to improve performance and inform strategy - Manage multiple workstreams and work with Owned Leads on prioritization - Identify and recommend testing opportunities to drive incremental improvements - Take proactive action based on performance signals to optimize outcomes - Co-design mitigation strategies and optimization approaches with cross-functional teams to address underperformance Qualifications - BA/BS degree or equivalent work experience - 6+ years of experience in analytics, BI, data modeling, or enterprise reporting - 2+ years of management experience; prior experience managing offshore teams is a plus - Business fluency in English Preferred Qualifications - Advanced proficiency with SQL and BI tools such as Looker Studio, Tableau and Power BI - Strong SQL capabilities and experience working with data lakes, warehouses, and cloud data structures - Advance understanding of AI/ML concepts and their application in data analysis Skills - Data-Driven Insights - Dashboarding & Visualization - Data Accuracy & Governance - Performance Optimization - Stakeholder Influence Additional Information Global Data Privacy Notice for Job Candidates: Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal . Workplace Type: Remote Career Track & Grade: IC4/9 Department: Marketing & Communications

• Own the acquisition analytics pipeline end-to-end, building a comprehensive understanding of our growth engine • Deeply analyze funnel performance across channel, campaign, creative, audience, and geography to surface actionable optimization opportunities • Track and narrate core business drivers: CAC/CPA, conversion rates, retention, LTV, and ROI/ROAS • Architect sophisticated measurement frameworks that give a clear, reliable view of marketing performance • Develop and maintain robust Multi-Touch Attribution (MTA) models to properly credit every touchpoint in the customer journey • Build and deploy Marketing Mix Modeling (MMM) to understand the macro-level impact of our diversified spend • Drive rigorous incrementality measurement to ensure we're generating true business uplift — not just activity • Design and execute geo-tests and other experimental methodologies to validate growth hypotheses • Define success metrics and establish rigorous control groups to protect experimental integrity • Size tests for statistical significance and translate complex results into clear direction • Act as a strategic advisor to the growth team: confident scale / no-scale recommendations grounded in data • Transform complex analysis into sharp, actionable recommendations focused on measurable business impact • Present findings in business-centric language with compelling visualizations for audiences from growth teams to C-level • Proactively champion improvements in tracking infrastructure, data quality, and automated reporting • Partner closely with stakeholders across the organization to align data strategy with business goals

• Lead complex analytical initiatives, including ambiguous problem spaces. • Partner with stakeholders to define KPIs, metrics, and analytical frameworks. • Perform deep-dive analyses using SQL and advanced analytical techniques. • Build executive-facing dashboards and analytical outputs. • Ensure analytical integrity by understanding upstream data models and transformations. • Collaborate with Analytics Engineering to refine data models, metrics, and semantic layers. • Review and provide feedback on analyses from junior analysts. • Drive best practices in analytical rigor, documentation, and storytelling. • Identify opportunities to improve data quality, metric definitions, and analytical workflows. • Contribute to analytics engineering workflows (e.g., reviewing dbt models, suggesting improvements). • Communicate insights through clear visualizations and narratives.

Role Description We are seeking a Research Data Scientist to join an incredible team of researchers in the Division of Maternal Fetal Medicine within the Department of Obstetrics and Gynecology at the University of Colorado Anschutz. Our physicians provide full prenatal care, maternal and fetal disease consultation, prenatal diagnosis, and genetic counseling for patients across Colorado and Wyoming. We are proud to support the Children’s Hospital of Colorado's Colorado Fetal Care Center (CFCC) which specializes in fetal diagnosis and in utero intervention. What sets us apart is our dedication to the development of highly successful Maternal-Fetal Medicine fellows and our commitment to advancing research in the field of Maternal-Fetal Medicine. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. - Design, develop, and maintain high-quality EMR/EHR-based datasets to support retrospective cohort studies and real-world evidence generation - Serve as the database manager for the PARITY database, the Colorado Fetal Care Center, and the Perinatal Research Advisory & Facilitation Committee - Ensure data integrity, traceability, and alignment with study objectives through rigorous validation and documentation - Develop and manage longitudinal datasets to evaluate clinical outcomes, treatment patterns, and health disparities - Serve as a key resource for data strategy and methodological guidance across projects - Contribute to continuous improvement of research data workflows and infrastructure - Mentor junior researchers, medical students, residents, and fellows on study design, cohort development, and analytical methods - Data Scientists are expected to 'own' a project and make meaningful progress, leading to 2+ journal/conference publications per year. Qualifications - Master’s or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field - 5 years of experience in clinical data management, epidemiology, or healthcare data science - Strong experience working with EMR/EHR data systems (e.g., Epic Clarity, Caboodle) - Expertise in retrospective cohort study design and longitudinal data analysis - Proficiency in SQL, SAS, and/or similar analytical tools - Strong understanding of Good Clinical Practice (GCP), IRB processes, and regulatory compliance - Demonstrated experience contributing to peer-reviewed research or academic publications - Applicants must be legally authorized to work in the United States without requiring sponsorship. Requirements - PhD or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field - Advanced skills in statistical programming software (SAS, R, SPSS) - Experience in OB/GYN, perinatal, or population health research - Experience with REDCap or similar clinical research data capture tools - First- or co-author publications in clinical or epidemiological research - Experience working in an academic medical center or research institution - Experience supporting grant-funded research or contributing to grant applications Benefits - Medical: Multiple plan options - Dental: Multiple plan options - Additional Insurance: Disability, Life, Vision - Retirement 401(a) Plan: Employer contributes 10% of your gross pay - Paid Time Off: Accruals over the year (based on percentage of time) - Vacation Days: 22/year (maximum accrual 352 hours) - Sick Days: 15/year (unlimited maximum accrual) - Holiday Days: 11/year - Tuition Benefit: Employees have access to this benefit on all CU campuses - ECO Pass: Reduced rate RTD Bus and light rail service