Note: The job is a remote job and is open to candidates in USA. Symitri is a privacy-first performance marketing technology company that helps advertisers achieve stronger outcomes using protected first-party data. The Senior Data Insights Analyst will analyze advertising and audience data, develop campaign optimization strategies, create client-facing insights, and collaborate with commercial, product, engineering, and machine learning teams.
Responsibilities
- Analyze large-scale portal, API and log-level advertising data to measure campaign performance, identify trends, and provide actionable optimization recommendations
- Develop optimization strategies to meet client business metrics (CPA, ROAS, LTV, aVOC, eCPM…)
- Translate complex data findings into clear, concise, and compelling client-facing reports, presentations, and strategic narratives
- Conduct lift analyses, segment-level attribution, and targeting strategy refinement
- Serve as the embedded data science expert across client teams to analyze media performance, model performance, and recommend and/or prototype improvements
- Collaborate with Sales, Account Management, and Sales Engineering teams to support client relationships with data-driven insights and performance reviews
- Configure pipelines, stratified sampling logic, or feature transformations tailored to client-specific challenges
- Design and execute testing (A/B, multi-cell)
- Work with ML engineers on Training tools that yield complex inference models and pave paths for LLMs
- Provide feedback to the Product and Engineering teams based on data analysis to help shape the evolution of Symitri’s platform and AI-driven algorithms
Skills
- • 5 years of experience in a data analysis role at an ad tech company, media agency, or programmatic advertiser, preferably within advertising, martech, or SaaS environments
- • Proficiency in SQL for querying complex datasets and experience with a BI/data visualization tool (e.g., Metabase, Power BI)
- • Strong understanding of the programmatic advertising ecosystem, including openRTB, DSP dashboards, SSPs (IDX/Magnite), and key performance metrics
- • Demonstrated ability to translate data analysis into a clear story for both technical and non-technical audiences
- • A meticulous, analytical mindset with a passion for finding the “why” behind the data
- • Excellent communication and presentation skills
- • Familiarity with identity graphs, cross-device resolution, or hashed ID pipelines (RampID, ID5, UID2, etc.)
- • Strong grasp of causal inference, media measurement, and experimentation (e.g., geo holdouts, diff-in-diff, matched markets)
- • Experience building data pipelines and models in Python (bonus for familiarity with Spark, Airflow, or MLflow)
- • Direct experience analyzing log-level data from ad servers or programmatic platforms
- • Entrepreneurial mindset with the confidence to own ambiguous, high-impact initiatives from start to finish
- • Client-facing experience in a technical or analytical capacity
Benefits
- Bonus
- Early Stage equity
- Remote flexibility
- Excellent health, dental, vision, and wellness perks
- A team that values candor, craft, and accountability
Company Overview