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PMG

Low-code BPM platform for enterprise automation

Analytics Principal

Data ScienceConfirmed live in the last 24 hours
Full-timeDallas, TX, USAHybrid

About the Job

Requirements

  • At least 8 years of analytics experience, including significant experience in marketing or media analytics, with a bachelor's degree or equivalent work experience.
  • Deep experience with marketing, media, and advertising datasets and translating complex data into strategic business insights.
  • Advanced expertise in SQL and DBT for complex data manipulation, optimization, troubleshooting, data pipelines, and deriving proactive insights from large-scale datasets.
  • Strong knowledge of ad tech and digital marketing ecosystems, including how data and measurement inform decision-making across channels.
  • Advanced proficiency with Tableau, Power BI, or Looker, including developing scalable dashboards, self-service reporting, and executive-level data narratives.
  • Strong working knowledge of Python or R for advanced analysis, workflow automation, statistical analysis, and modeling.
  • Ability to lead complex analytics and measurement initiatives, translating ambiguous business questions into structured analytical approaches and actionable recommendations.
  • Stakeholder management and consulting skills to influence technical and non-technical audiences across multiple organizational levels.
  • Experience partnering across Product, Media, Engineering, Data Science, Analytics, and Strategy to influence KPIs, business planning, measurement strategy, and campaign optimization.
  • Ability to improve data quality, consistency, accessibility, and analytical processes across teams, clients, and technology platforms.
  • Ability to mentor and provide technical and strategic guidance while maintaining accountability for high-quality analytical work.
  • Curiosity and adaptability as a continual learner, staying current with analytics, measurement, and media innovation while prioritizing client success.
  • People-focused leadership that fosters collaboration, innovation, and professional growth by leading by example and nurturing relationships.

Responsibilities

  • Lead complex analytics engagements from intake through client delivery, ensuring high-quality, timely outputs that translate data into actionable business recommendations.
  • Design, develop, and oversee scalable analytics solutions spanning data sourcing, SQL, data visualization, reporting, and advanced measurement.
  • Develop comprehensive media reporting frameworks that connect marketing performance to customer actions and business KPIs, enabling technical and non-technical stakeholders to make informed decisions.
  • Partner with Media, Client Strategy, Data Science, Engineering, and other cross-functional teams to design, implement, and validate measurement strategies aligned with client objectives.
  • Serve as a strategic analytics partner to clients and internal stakeholders, translating complex business questions into clear analytical approaches, insights, and recommendations.
  • Apply advanced marketing measurement methodologies, including media mix modeling, lift testing, incrementality testing, and other experimental approaches, to evaluate marketing effectiveness and inform investment decisions.
  • Use SQL and large-scale marketing datasets to identify trends, diagnose performance drivers, and uncover proactive opportunities for optimization and growth.
  • Guide the development of scalable dashboards, reporting solutions, and self-service analytics tools that improve data accessibility, consistency, and usability.
  • Own ongoing stakeholder prioritization and analytics roadmaps by client or pod.
  • Lead the design and implementation of media mix modeling, attribution, or advanced modeling efforts.
  • Translate client objectives and business questions into analytic frameworks and drive roadmap alignment.
  • Establish and refine analytics best practices, measurement frameworks, taxonomy, and processes that improve consistency and quality across clients and teams.
  • Proactively identify and resolve complex data quality, measurement, and reporting challenges while partnering with technical teams to develop sustainable solutions.
  • Mentor and provide technical guidance to analytics team members across data visualization, data engineering, measurement, and analytical problem-solving, fostering growth and accountability for high-quality work.
  • Influence KPIs, business planning, campaign optimization, and measurement priorities by connecting analytical findings to broader client and business objectives.
  • Lead test-and-learn initiatives, evaluate results, and translate findings into recommendations that support continuous improvement across media strategies.
  • Stay current with evolving marketing measurement methodologies, analytics technologies, AI capabilities, and industry best practices, contributing to PMG's thought leadership and continued innovation.

Desired Qualifications

  • A master's degree in Analytics, Data Science, or a related discipline.

About the Company

PMG

Low-code BPM platform for enterprise automation

PMG.net provides a low-code platform called the PMG Platform that helps large companies automate and coordinate their business processes. The platform lets users build and deploy custom applications, automate manual tasks, and connect different software systems without heavy coding. It mainly serves enterprise clients in areas like HR, IT, and finance, and uses a SaaS model where customers pay recurring fees for access, support, and updates. PMG.net differentiates itself by focusing on BPM and workflow orchestration through a low-code medium, enabling rapid digital transformation and integration across disparate systems. The company’s goal is to help enterprises streamline complex workflows, reduce manual work, and improve operational efficiency through easy-to-use, scalable software.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Atlanta, GA
Founded
1996

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