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Senior Data Analyst
Senior Data AnalystAditi Consulting • San Francisco, CA, United States
Senior Data Analyst

Senior Data Analyst

Aditi Consulting • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
  • Temporary
Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Aditi Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75.00 / hr - $80.00 / hr

Payrate : $75.00 - $80.00 / hr.

Summary :

We’re looking for a strategic and hands-on Manager of Web & Agentforce Analytics to join our Data Enablement team, which powers data infrastructure, analytics, and insights across Marketing. This role will support and accelerate our efforts in web and agentic analytics—turning complex behavioral data into clear, actionable insights that inform marketing strategies and product decisions.

The ideal candidate is equally comfortable diving deep into data, managing multi-stream projects, and presenting to stakeholders and leadership. You’ll help shape how we analyze user behavior across digital and AI-powered interfaces, drive the reporting strategy for marketing performance, and ensure projects are executed with clarity and precision.

Key Responsibilities :

  • Analytics & Insights :
  • Perform deep-dive analyses into web and agentic user behavior to identify trends, opportunities, and areas for optimization.
  • Translate complex data into clear, compelling stories for cross-functional teams and executives.
  • Partner with engineering and data teams to ensure high data quality, accurate tracking, and consistent metrics.
  • Reporting & Visualization :
  • Build and maintain reporting frameworks, dashboards, and KPIs that serve marketing, growth, and executive audiences.
  • Lead automation of recurring reports and contribute to scalable reporting solutions.
  • Ensure data quality and consistency in pipelines feeding our marketing data warehouse.
  • Project & Stakeholder Management
  • Coordinate and track projects across data ingestion, analytics, and reporting workstreams.
  • Serve as the point of contact for stakeholder needs, helping prioritize requests and align work with business objectives.
  • Drive cross-functional communication and alignment through regular updates, documentation, and presentations.
  • Partner with stakeholders across Marketing, Product, Engineering, and GTM to define priorities and roadmap.
  • Scrum Collaboration :
  • Own the definition of user stories and acceptance criteria informed by the product roadmap
  • Provide review and testing for work completed by the engineering team
  • Work closely with scrum lead to ensure engineering team is well-informed of new work and enabled to succeed
  • Leadership & Influence
  • Act as a thought partner within the team and with key partners across Marketing, Product and Engineering; interface with executive leadership on a regular and ad hoc basis
  • Serve as a subject‑matter expert on web and agentic analytics, enabling data literacy and adoption across teams.

Qualifications :

  • 7-10+ years of experience in analytics, data strategy, or related roles, ideally in marketing or product analytics.
  • Strong SQL skills and experience working with large-scale data warehouses (e.g., Snowflake, BigQuery).
  • Familiarity with web analytics tools (e.g., GA4, Adobe Analytics) and event-based tracking frameworks.
  • Experience with data visualization tools (Tableau preferred).
  • Proven ability to manage complex projects and prioritize across multiple stakeholders, ideally within Agile frameworks and tools.
  • Excellent communication and storytelling skills — able to turn data into strategy and insight into action.
  • Bonus : Experience working with AI / agentic interfaces or conversational data analytics.
  • Pay Transparency : The typical base pay for this role across the U.S. is : $75.00 - $80.00 / hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

    For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ( https : / / www.aditiconsulting.com / privacypolicy ).

    Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter.

    #AditiConsulting

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