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Analytics Manager

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: KQED
Remote/Work from Home position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 95500 - 119400 USD Yearly USD 95500.00 119400.00 YEAR
Job Description & How to Apply Below

Analytics Manager at KQED

Schedule/Location
:
Hybrid – San Francisco

Pay
: $95,500–$119,400 annually

Overview

KQED is seeking an Analytics Manager to lead our data engineering and reporting practices. The role involves building an analytics practice, translating audience data into insights, and collaborating with stakeholders across departments. The position is an individual contributor with potential for people management, reporting to the Director of Audience Intelligence.

Hybrid: three days a week in the San Francisco headquarters, with remote work options. Full‑time, mid‑senior level.

We value diversity and inclusion, encouraging applicants from marginalized communities to apply.

Essential Functions
  • Design, build, and manage data consolidation processes and systems, including ELT pipelines and orchestration workflows.
  • Maintain the data warehouse.
  • Partner with department heads and stakeholders to define and report on key organizational metrics.
  • Create and socialize reports/dashboards to communicate trends in key metrics.
  • Analyze data to identify important patterns and drivers of change, and develop insights that can translate into business strategy.
  • Prepare and present reports to other teams and the organization as a whole.
  • Maintain existing manual reporting processes until they can be automated.
  • Respond to ad‑hoc data and analysis requests from other departments.
  • Other duties as assigned.
Candidate Qualifications
  • Demonstrable experience managing moderately complex ELT and data orchestration work.
  • Strong SQL skills and familiarity with columnar databases.
  • Proficiency in Python for building applications beyond notebooks.
  • Experience building executive‑level dashboards.
  • Interest or experience with data science (linear models, classification, clustering, time‑series analysis, or personalization/recommendation engines).
  • Excellent LLM prompting skills.
  • Exceptional interpersonal and communication skills, with the ability to explain complex concepts to senior and non‑analytical audiences.
Physical Demands
  • Ability to lift a minimum of fifteen (15) pounds.
  • Ability to exert maximum muscle force to lift, push, pull or carry.
  • Ability to use abdominal and lower back muscles over time without fatigue.
  • Ability to stand and/or sit for extended periods.
  • Ability to bend, stoop, stretch, twist, sit, and reach.
  • Fine motor skills.
  • Good visual and auditory acuity.

The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Employees may be required to perform other related duties as necessary to meet the organization’s ongoing needs.

We strongly encourage members of Black, Indigenous, and people of color, people with disabilities, and LGBTQIA+ communities to apply.

Code of Ethics: https://(Use the "Apply for this Job" box below).-ethics

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