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Day 2
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Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Own complex marketing analytics initiatives end-to-end
Design and enhance dashboards, reporting frameworks and forecasting models
Lead cross-channel performance analysis and attribution to improve ROI
Track progress against monthly, quarterly and annual marketing goals
Define and maintain KPI definitions and measurement standards
own complex analytical initiatives end-to-end
Design, develop, and continuously enhance reporting frameworks, dashboards, and analytical models
Lead cross-channel performance analysis and attribution initiatives
Identify progress or gaps to monthly, quarterly goals and annual goals
Establish and maintain KPI definitions, measurement standards, and documentation
Responsibilities Collaborate with marketing stakeholders to business objectives, define measurement strategies, and translate requirements into scalable analytics solutions Identify progress or gaps to monthly, quarterly goals and annual goals, proactively identifying risks, opportunities, and key drivers impacting performance Design, develop, and continuously enhance reporting frameworks, dashboards, and analytical models to support growth planning, forecasting, funnel optimization, and pipeline management Lead cross-channel performance analysis and attribution initiatives to evaluate marketing effectiveness, optimize investment decisions, and improve ROI Generate actionable insights and recommendations that improve customer engagement, buying experiences, conversion rates, and channel efficiency Translate complex analyses into compelling executive-ready narratives through effective data visualization, reporting, and storytelling Establish and maintain KPI definitions, measurement standards, and documentation to ensure consistency and trust in reporting Partner with Marketing Intelligence, Strategy, Technology, and Automation teams to improve data quality, segmentation, reporting capabilities, and measurement methodologies Influence business decisions through regular engagement with regional and global marketing leaders, including participation in business reviews and planning processes Gather stakeholder feedback, identify gaps or opportunities, and recommend solutions that improve operational effectiveness and business outcomes Support alignment and enablement across global and regional marketing teams to drive consistency in reporting and analytics practices Requirements Bachelor's degree and 7+ years of experience in marketing analytics, business intelligence, marketing operations, or a related field Ability to think in the abstract and understand the intricacies of a complex system and proficiently demonstrate the ability to work with multiple and large datasets Advanced proficiency in SQL, Excel, Tableau, SAP Analytics Cloud, or similar business intelligence and analytics platforms Experience developing predictive, forecasting, optimization, or propensity models to support marketing and business growth objectives Strong understanding of marketing performance measurement, demand generation, pipeline management, attribution methodologies, and funnel analytics Deep familiarity with CRM and marketing data structures, including leads, contacts, accounts, opportunities, and campaign data Experience leveraging AI-enabled analytics capabilities to enhance reporting, insight generation, and decision-making while ensuring responsible and effective use Exceptional communication and storytelling skills, with the ability to simplify complex concepts for both technical and non-technical audiences.
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
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Day 2
Early. Similar jobs usually come down between day 5 and day 41.
From 10,536 similar postings that came down. Coming down is not always a hire.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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