MediaRadar, Inc.

Data Analyst

• Data Retrieval: Pull enriched competitive advertising datasets (spend, placement, and creative data) from MediaRadar's internal tools for assigned accounts and projects.
• Share-of-Spend Analysis: Analyze share-of-spend activity across a brand and its competitors to identify which advertisers are gaining or losing ground.
• Creative Surfacing: Run scripts and use internal tools to surface top-contributing creative assets tied to spend activity, rather than locating them manually.
• Early Hypothesis Development: Extract metadata and themes from creative and spend data to build an early, data-backed hypothesis (e.g., “advertisers are leaning into rewards messaging this quarter”) that senior analysts can validate and build into a client-ready story.
• Quality Assurance: Check data for anomalies or inconsistencies before handing off analysis to the client-facing analyst team.
• Multi-Account Support: Provide analytical support across several accounts and projects rather than a single dedicated client, gaining broad exposure to different verticals and use cases.
• Frontline Analyst Team Support: Serve as the supporting analyst behind our client-facing team, handling the groundwork so senior analysts can focus on client strategy and delivery.
• AI-Forward Tooling: Use AI tools, including Claude, as part of your daily workflow to speed up data pulls, first-pass analysis, and reporting — while learning when to rely on it and when to apply your own judgment.
• Skill Building: Learn MediaRadar's data taxonomy, internal tools, and analytical methodology with the goal of progressing toward a client-facing analyst role.
• Team Collaboration: Work closely with the analyst and project management team to understand project goals and deliver work on time.

Data Analyst, Advertising Insights – Strategy

Business Analyst

• Partner with clients, Commercial teams, and Custom Project Managers to understand business goals and key use cases, delivering tailored analytics solutions that support strategic objectives.
• Conduct in-depth analyses of competitive advertising activity across current and emerging media channels to uncover market trends, share shifts, and creative strategy changes, leveraging MediaRadar paid media data and key public sources.
• Customize, normalize, and transform complex datasets to align with clients’ market perspectives, producing clear narratives and actionable insights.
• Design, implement, and oversee advanced, client-tailored reporting and analytics solutions—such as line-of-business landscape analyses, share-of-spend reports, and other customized insights, including ad hoc requests—to inform strategic planning and support data-driven decision-making.
• Ensure data integrity by validating accuracy, investigating anomalies, and troubleshooting discrepancies.
• Serve as the primary point of contact for client stakeholders within research and competitive intelligence teams.
• Collaborate with clients to identify business priorities, create tailored analytics solutions, and prepare statements of work for each engagement.
• Lead presentations and consultation sessions to deliver insights.
• Partner with account and product teams to communicate client feedback and influence roadmap priorities.
• Partner with clients to coordinate priorities, ensure timely delivery of work, and maintain accurate records of hours spent on each project.

Senior Analyst, Advertising Insights – Strategy

General

• Accurately enter and maintain sales orders in NetSuite, ensuring full alignment with data from Salesforce and the terms outlined in signed contracts.
• Review and validate order details—including pricing, contract terms, product configurations, and billing schedules—before and after entry.
• Partner closely with the Revenue Operations (RevOps) team to support smooth order execution and data integrity across systems.
• Identify and communicate breakdowns in the order process, proactively looping in Sales and RevOps to resolve discrepancies.
• Conduct regular reconciliations between Salesforce and NetSuite to ensure system data is consistent and up to date.
• Support invoicing and fulfillment activities, flagging issues that could impact billing accuracy or customer satisfaction.
• Assist with process documentation and contribute to continuous improvement efforts under the guidance of the Senior Order Management Analyst.
• Respond to internal queries related to order status, contract details, and system data in a timely and professional manner.

Order Management Specialist

Accounts Payable

• Process and manage purchase orders (POs) accurately and in a timely manner, ensuring alignment with vendor agreements and internal approvals
• Code and enter vendor invoices into the accounting system, verifying accuracy against POs and supporting documentation
• Support vendor payment runs, ensuring disbursements are made on schedule and accounts remain current
• Maintain and update records in Ramp, including employee cards, spend controls, and transaction categorisation
• Review and process employee expense reports, ensuring compliance with company policy
• Reconcile vendor statements and follow up on discrepancies, outstanding items, or disputed invoices
• Collaborate closely with the US-based AP Specialist, the broader Finance team, and internal departments to resolve invoice discrepancies and ensure proper approvals
• Assist with month-end close activities, including AP accruals and reconciliations
• Maintain accurate and well-organised records of all AP transactions
• Participate in system updates and process improvement initiatives related to AP

Accounts Payable Specialist

Client Partner

• As the Vice President, Client Partnership – Brands & Agencies, you will serve as a senior commercial leader responsible for one of MediaRadar's most strategically important client segments. Leading a team of approximately 15 Client Partners and senior individual contributors, you will own the full client relationship lifecycle across our brand and agency accounts—driving retention, deepening product adoption, and identifying new opportunities for revenue expansion. You will set the strategic direction for how we engage with brands and agencies at scale, serving as both a player and coach who brings deep industry knowledge, executive presence, and a relentless focus on client value. As a key member of MediaRadar's commercial leadership team, you will shape cross-functional strategy, contribute to company culture, and ensure that client-centricity is embedded in everything we do.

Vice President, Client Partnership – Brands & Agencies

QA Automation Engineer

• Partner with Data Operations and Governance to identify high-value opportunities for AI and automation across data delivery and data quality workflows.
• Build small, self-contained, plug-and-play solutions — prompts, low-code workflows, scripts, and lightweight agents — that deliver incremental efficiency without standing up large models or heavy systems.
• Translate governance rules, definitions, and taxonomies into prompt and automation logic that produces accurate, consistent output.
• Prototype rapidly, measure operational impact, and iterate solutions based on real results and validator feedback.
• Deploy solutions into production data operations and support adoption, monitoring, and handoff.
• Recognize when a need exceeds what a contained solution can deliver, and serve as the conduit to larger-scale deployment by helping define clear, actionable requirements for engineering and platform teams.
• Maintain prompt libraries, automation assets, and documentation with clear versioning.
• Track solution performance against scale, efficiency, accuracy, and consistency targets and report on the gains realized.
• Stay current on AI and automation techniques and responsible-AI practices, and share them across teams.

Automation Prompt Engineer

QA Engineer

• Translate authored data rules and quality thresholds into automated, executable quality checks.
• Build and maintain data quality monitoring, alerting, and dashboards across governed datasets.
• Integrate quality checks into data pipelines, classification workflows, and governance tooling.
• Automate detection of rule conflicts, duplicates, and reference data anomalies at scale.
• Develop tooling that supports auditors, analysts, and stewards in their day-to-day work.
• Instrument human-in-the-loop workflows to capture validation outcomes and quality signals.
• Maintain reliable, performant data quality infrastructure and supporting data flows.
• Partner with Governance to make rules executable and to close gaps between definition and enforcement.

Data Quality Engineer

Auditor

• Design and execute risk-based audit and sampling programs across classification, reference data, and governed datasets.
• Test outputs against authored rules, definitions, and quality thresholds, documenting pass/fail evidence.
• Quantify quality across dimensions (accuracy, completeness, consistency, timeliness) and track trends over time.
• Validate the effectiveness of human-in-the-loop review, identifying where validation is or is not catching errors.
• Investigate root causes of quality issues and recommend rule, process, or training improvements.
• Produce clear audit findings, scorecards, and assurance reporting for governance and leadership.
• Maintain audit trails and evidence sufficient to support internal and external scrutiny.
• Partner with Governance to refine rules and thresholds based on observed failure patterns.

Data Quality Auditor

• Author, maintain, and version taxonomies, business term definitions, and classification hierarchies in the governance platform.
• Translate approved governance decisions into structured, testable data rules and apply rule IDs consistently across taxonomies.
• Run routine rule-library analysis to detect duplicates, conflicts, and coverage gaps, and prepare findings for governance review.
• Maintain metadata, documentation, and change history so definitions and rules remain traceable and auditable.
• Support intake and triage of new rule and definition requests from Data Operations and business stakeholders.
• Prepare reference data and golden-record candidates for governance certification, flagging anomalies and exceptions.
• Produce clear documentation and quick-reference guides that help stewards and analysts apply standards independently.
• Assist in preparing governance reporting, dashboards, and stakeholder updates.

Data Governance Analyst

Operations

• Own a creative type and a priority industry at a global level, maintaining connections with Operations Analysts for local processes and partnering with Product and Commercial to understand strategy.
• Participate in strategic cross-functional meetings representing Content & Data from a global perspective, providing process input and updates.
• Use data to make recommendations for improvements in global Operations for creative and/or industry processing, completion, and quality execution.
• Build requirements and make recommendations to Leadership and Product for creative flow enhancements to drive efficiency and quality.
• Own advanced troubleshooting of client-driven issues and provide in-depth root cause analysis, including system and/or process updates as needed.
• Recommend standards for quality and SLAs for assigned creative and industry globally, in consultation with Operations Analysts, Quality Analysts, Product, Commercial, Operations Leadership, and Governance.
• Own and audit advanced client-specific requests and project work to ensure no omissions or errors exist.
• Participate in day-to-day quality exercises as needed.
• Own global Operations strategic projects for process.
• Track the impact of system and process changes post-launch and drive continuous improvement factoring in efficiency and budget implications.
• Maintain master knowledge of Operations systems, creative types, and the product catalog.
• Create and update complex product records within a centralized Product Catalog while following strict governance standards.
• Analyze data to make business recommendations and report on data volume, coverage, status, and other key performance metrics.

Senior Operations Analyst

• Own a creative type and a priority industry at a global level, maintaining connections with Operations Analysts for local processes and partnering with Product and Commercial to understand strategy.
• Participate in strategic cross-functional meetings representing Content & Data from a global perspective, providing process input and updates.
• Use data to make recommendations for improvements in global Operations for creative and/or industry processing, completion, and quality execution.
• Build requirements and make recommendations to Leadership and Product for creative flow enhancements to drive efficiency and quality.
• Own advanced troubleshooting of client-driven issues and provide in-depth root cause analysis, including system and/or process updates as needed.
• Recommend standards for quality and SLAs for assigned creative and industry globally, in consultation with Operations Analysts, Quality Analysts, Product, Commercial, Operations Leadership, and Governance.
• Own and audit advanced client-specific requests and project work to ensure no omissions or errors exist.
• Participate in day-to-day quality exercises as needed.
• Own global Operations strategic projects for process.
• Own project management for the effective rollout of global Operations system and/or process changes.
• Track the impact of system and process changes post-launch and drive continuous improvement factoring in efficiency and budget implications.
• Maintain master knowledge of Operations systems, creative types, and the product catalog.
• Create and update complex product records within a centralized Product Catalog while following strict governance standards.
• Serve as a point of contact for establishing ground truth and master knowledge of the product catalog.
• Analyze data to make business recommendations and report on data volume, coverage, status, and other key performance metrics.

General Counsel

• Draft, review, and negotiate a wide range of contracts including SaaS agreements, master service agreements, partnership contracts, vendor agreements, and other commercial contracts.
• Help maintain and improve contract templates, including improving commercial contracting playbooks and workflows.
• Draft and review privacy-related documents such as data processing agreements, privacy policies, terms of use and risk assessments.
• Assist in integrating AI tools into legal workflows (e.g., contract review automation).
• Assist in managing the contract lifecycle process including by optimizing the use of contract management tools.
• Manage ad hoc legal projects and support broader legal team initiatives.

Corporate Counsel

• Own the day-to-day performance of a team of Data Associates across classification, attribution, and product-catalog workflows.
• Coach associates from task-executors into data-driven critical thinkers.
• Act as the first line of defense for quality, throughput, and SLAs.
• Operate within the operating plan set by your Manager, run it relentlessly on the floor.
• Surface insights and improvement ideas that make the plan better.
• Monitor and manage team performance against KPIs, including throughput, accuracy, and quality benchmarks.
• Serve as the first point of escalation for workflow or process-related issues.
• Conduct regular quality reviews and provide actionable feedback.
• Identify workflow inefficiencies and partner with managers, automation teams, and governance specialists to improve processes.
• Coordinate team scheduling, task assignment, and workload balancing to meet daily and weekly targets.
• Train new hires and ensure associates are up to date on classification guidelines, tools, and processes.
• Report team status, coverage, productivity, and quality metrics to management.
• Foster a culture of accountability, collaboration, and continuous improvement.
• Proactively identify and address problems before they escalate, while recognizing opportunities for efficiency, automation, and quality improvements.
• Maintain 98%+ accuracy in ad classification, attribution, and catalog updates.

Associate Manager, Data Operations

Manager

• Design and deliver instructor-led training and continuous learning programs for new hires and tenured employees.
• Innovate beyond the classroom by building a scalable, automated, and asynchronous learning ecosystem that drives rapid speed-to-proficiency.
• Manage a team of Data analysts who conduct quality audits and provide new hire training and process refreshers, evaluate interactions against defined standards and documenting findings with structured, actionable feedback.
• Serve as the ultimate owner of data quality and ensure all team output strictly complies with established governance standards, documentation, and reporting requirements.
• Ensure that reference data rules are meticulously followed and managed through the team.
• Work cross-functionally with Governance, UAT, and Training teams to understand and implement changing standards.
• Lead the analysis of audit data to identify performance gaps, root causes, and systemic issues — translating insights into targeted interventions such as refresher training, job aids, coaching guides, or process clarifications.
• Lead continuous improvement projects and drive standardization of best practices across Content and Data verticals.
• Champion the adoption of proven processes and methodologies to ensure consistent operational performance, reduce variability, and scale successful innovations across the organization.
• Support the exploration of AI-assisted auditing tools to scale quality coverage across multiple platforms or multiple media types.
• Actively participate in the User Acceptance Testing (UAT) of assigned workflows, providing critical feedback for system and process enhancements.
• Participate directly in the HITL AI feedback loop to drive ongoing engine improvements.
• Develop and produce comprehensive metrics and reports that lead to performance improvement and operational transparency.
• Lead Kaizen events and conduct auditing activities to ensure proper process implementation, adherence to standard work, and sustainability of improvements.
• Communicate process health and Key Performance Indicators (KPIs) to senior management through structured weekly and monthly executive reviews.
• Build strong relationships with stakeholders across organizations to understand and evaluate business priorities, define shared opportunities and requirements, and establish effective information-sharing mechanisms.
• Work alongside stakeholders to define and execute innovative solutions that enhance customer experience while influencing outcomes both with and without direct authority.

Manager, Quality & Training

Analyst

• Perform daily quality audits against the relevant SOP across classification, attribution, mapping, and related workflows, meeting defined productivity and quality targets.
• Identify anomalies — SOP defects, process gaps, and recurring error patterns and distinguish a genuine miss from an acceptable judgement call.
• Comprehend and apply SOPs with minimal supervision, and flag where an SOP itself is unclear, outdated, or silent on an edge case.
• Track process SLAs and turnaround commitments, ensuring audit and review queues are closed on time and any slippage is escalated early with context.
• Investigate and help resolve client-raised troubleshooting requests, triaging the issue, identifying whether it stems from a data, process, or model gap, and driving it to closure with the relevant team.
• Go beyond what broke to why it broke and identify preliminary root causes and explain your rationale clearly.
• Propose practical solutions on quality and productivity, and partner with managers to drive them to closure on agreed milestones.
• Bring a continuous-improvement mindset (RCA, basic Lean/Six Sigma thinking welcome) to reduce recurring defects over time.
• Recommend process and system improvements from SOP and workflow changes to tooling and automation enhancements — that remove recurring defects at the source rather than re-catching them.
• Participate in and help run calibration sessions so that audit scoring stays consistent across analysts, processes, and shifts.
• Support evaluator readiness and certification so that two analysts auditing the same work reach the same verdict.
• Work with your data governance counterparts to turn recurring defect trends into targeted refreshers and SOP updates, so coaching translates into measurable improvement.
• Deliver clear, specific, and respectful feedback to associates, and close the loop on every audit observation.
• Prepare key trend insights and share regular, clear quality reports with managers and stakeholders.
• Audit AI-assisted and HiTL outputs as our Classification Engine footprint grows by evaluating where the model is reliable and where human review must stay.
• Contribute structured feedback that helps improve ML model accuracy.