Director, Analytics Engineering
Spotter · Culver City, California, United States
Posted 28 days ago · $160K-$180K
or apply directly on Spotter's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days Spotter's roles stay open a median of 36 days
- Reposted
- No
- Salary listed
- Yes 100% of Spotter's roles list one
- Ghost-job risk at Spotter
- moderate 1 stale, 0 reposted of 3 open
- Hiring momentum
- 3 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Spotter's own greenhouse board since 2026-08-03. Full hiring picture for Spotter.
About this role
As the Director of Analytics Engineering at Spotter, you will lead the development of analytics engineering solutions that support data-driven decision-making across the organization. Your role involves collaborating with various teams to understand their analytical needs, improving ETL processes, and ensuring data quality. You will also mentor analytics engineers and create dashboards and reports to provide actionable insights.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Spotter as an employer.
What you need
- Bachelor’s degree in a relevant field such as Engineering, Computer Science, Analytics, Applied Math, Statistics, or Business Analytics; advanced degrees are highly preferred
- 7+ years of experience in analytics engineering, data engineering, or a related field
- Expertise in designing and maintaining scalable data pipelines and advanced ETL processes, with proficiency in relevant tools and technologies including Python, SQL, DBT, and at least one popular data warehousing platform (e.g. Redshift, BigQuery, Databricks, Snowflake, etc)
- Strong technical background in data instrumentation, data QA, and maintaining data accuracy across complex environments
- Proven track record of developing and implementing automated reporting solutions and visualization tools, leveraging platforms such as TIBCO Spotfire and Power BI
- Demonstrated ability to collaborate effectively with cross-functional teams and stakeholders at all levels, translating business needs into technical solutions
Nice to have
- Knowledge of the YouTube or Content Creator industry
What you get
- Medical insurance covered up to 100%
- Dental & vision insurance
- 401(k) matching
- Stock options
- Discretionary PTO
- Complimentary gym access
Worth weighing
- No specific mention of the tech stack beyond ETL tools and data warehousing platforms
- Salary range provided is $160K-$180K, which may vary based on various factors
- Role involves navigating ambiguity and fast-paced environments, which may require adaptability
Summarised from Spotter's posting. Read the full original.
Listed by Spotter on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.