Lead Data Analyst

Jobgether; Oregon; Hybrid; USD 142,000 - 195,000; Full time

Benefits offered by this job

Equity in compensation package

Medical, dental, vision coverage

Remote-first, full remote in approvedU

Job summary

Jobgether is seeking a Lead Data Analyst to tackle complex analytics across supply-side operations. You will merge technical depth with business judgment to shape product roadmaps and operations, mentor analysts, and establish best practices in a remote-first setting.

You will partner with Engineering, Product, Data Science, Finance, and Commercial teams to translate data into strategic decisions, drive measurable outcomes, and lead high-impact initiatives from ideation through implementation.

Qualifications

• Bachelor’s degree or equivalent in analytics, CS, engineering, math, statistics, economics, or related field.
• 8+ years of experience in data analytics or consulting, preferably in high-tech/ad tech.
• Advanced SQL with ability to write and optimize complex queries.
• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift, Trino).
• Strong understanding of statistical inference, A/B testing, and causal reasoning.
• Proficiency with Looker, Tableau, or similar BI tools.
• Ability to structure ambiguous problems into rigorous analyses and recommendations.
• Strong business sense and ability to connect insights to revenue and outcomes.

Responsibilities

• Lead analysis of complex, ambiguous questions and influence roadmaps and operations.
• Develop, write, and optimize SQL queries on large datasets and build reproducible workflows.
• Investigate root causes and troubleshoot product performance and KPI issues.
• Create dashboards and reporting pipelines using SQL and BI platforms (Looker/Tableau).
• Translate technical changes into clear business impact for leadership.
• Lead end-to-end transformational projects from ideation to rollout.
• Mentor analysts on technical excellence and communication.
• Collaborate across Engineering, Product, Data Science, and Finance to drive results.

Skills

Advanced SQL

BI tools experience

Data analysis

Communication

Stakeholder management

Mentoring

Cross-functional collaboration

Problem solving

Education

Bachelor’s degree in Analytics/CS/Engineering/Math/Statistics/Economics

Tools

BigQuery

Snowflake

Redshift

Trino

Looker

Tableau

Job description

As a Lead Data Analyst, you will serve as the senior individual contributor tackling the most complex and ambiguous analytical challenges across the organization’s supply-side operations. You will combine advanced technical expertise with strong business judgment to turn large-scale data into strategic insights that shape product roadmaps and operational decisions. Working closely with Engineering, Product, Data Science, Finance, and Commercial teams, you will connect technical developments to measurable business outcomes. You will also establish analytical best practices, lead high-impact initiatives from conception through implementation, and mentor other analysts. This is a highly collaborative, remote-first opportunity for an experienced analytics professional who enjoys solving challenging problems and influencing decisions at every level of the business.

Accountabilities

• Lead analysis and generate actionable insights on complex, ambiguous business and technical questions, influencing strategic roadmaps and operational decisions.
• Develop, write, and optimize sophisticated SQL queries across large-scale datasets containing billions of rows, while building reproducible analytical workflows.
• Conduct root-cause investigations and troubleshoot issues involving product performance, technical systems, and business KPIs.
• Build and automate dashboards, ad hoc analytical tools, and internal reporting pipelines using SQL and business intelligence platforms such as Looker and Tableau.
• Translate technical developments—including machine learning model changes, SDK upgrades, and auction mechanics—into clear business impact assessments for Commercial teams and senior leadership.
• Lead transformational projects end-to‑end, from initial ideation and scoping to technical execution and operational rollout.
• Mentor analysts on technical excellence, business context, structured problem‑solving, and effective communication.
• Collaborate with Engineering, Product, Data Science, and Finance teams to advance cross‑functional initiatives and drive measurable results.

Requirements

• Bachelor’s degree in Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related discipline.
• At least 8 years of experience in data analytics, consulting, or business analytics, ideally within high-tech or advertising technology environments.
• Advanced SQL expertise, including the ability to write and optimize complex queries against massive datasets.
• Experience working with cloud data warehouse technologies such as BigQuery, Snowflake, Redshift, or Trino.
• Strong understanding of statistical inference, A/B testing methodology, and causal reasoning, including confidence intervals, statistical power, and common sources of experimental noise.
• Proficiency with Looker, Tableau, or comparable business intelligence and data visualization tools.
• Proven ability to structure ambiguous business challenges into rigorous analyses and translate findings into practical recommendations.
• Strong commercial acumen, with the ability to connect technical insights to revenue, margins, and partner outcomes.
• Excellent written and verbal communication skills, including the ability to adapt complex technical concepts for audiences ranging from engineering teams to C‑level executives.
• Strong presentation and stakeholder management capabilities, with the confidence to develop compelling narratives, defend recommendations, and respond effectively to challenging questions.
• Demonstrated leadership through mentoring, cross‑functional project management, and the ability to drive organizational change using data‑driven insights.

Benefits

• Competitive annual base salary, determined by location and experience: San Francisco Bay Area, Los Angeles/Orange County, New York City, and Seattle: $165,000–$195,000.
• Olympia, Austin, San Diego, Santa Barbara, and Boston: $152,000–$179,000.
• Other cities and towns within approved states: $142,000–$167,000.
• Equity as part of the overall compensation package.
• Medical, dental, and vision coverage, with benefits tailored to the employee’s country of residence.
• Additional well‑being benefits and perks, which may include wellness stipends and other location‑dependent offerings.
• Full‑time remote work available in approved U.S. states: California, Colorado, Idaho, Illinois, Florida, Georgia, Massachusetts, Michigan, Minnesota, Missouri, New Jersey, Nevada, New York, Oregon, Pennsylvania, Texas, Utah, and Washington.
• A remote‑first working environment, with opportunities to connect through in‑person project meetings, regional gatherings, and company‑wide events.
• Quarterly in‑person team gatherings are expected to support collaboration, communication, and team building.
• A fast‑paced, collaborative environment offering opportunities to take ownership, develop professionally, and contribute to the evolution of the mobile app ecosystem.