[Remote] Senior Data Analyst (AdTech | Python | Media Data Operations)

Note: The job is a remote job and is open to candidates in USA. Guideline.ai is a company focused on redefining the future of advertising through data transparency and advanced tools. They are seeking a Senior Data Analyst to clean, standardize, and enrich large advertising datasets while applying statistical and machine learning techniques to forecast trends and classify unstructured data. Responsibilities • Build Python (Pandas/Regex) workflows to extract structure from free-form Prisma text fields containing placements, publishers, formats, devices, tactics, etc • Develop rule-based and pattern-based logic to recognize abbreviation variations, naming inconsistencies, and agency-specific formatting habits • Create normalization scripts that standardize publisher names, platform types, channels, and other key taxonomies • Maintain “classification dictionaries” and pattern libraries that improve accuracy over time • Profile incoming agency data to identify common quality issues and propose concrete remediation • Design QA checks to detect missing fields, malformed entries, inconsistent dimensional labels, and mismatched spend totals • Partner closely with Data Engineering to embed your logic into scheduled pipelines • Own recurring operational workflows that support data ingestion, aggregation, and quality monitoring • Build and maintain predictive models to support media spend forecasting, pricing analysis, and text classification for data tagging and enrichment • Apply statistical modeling or regression techniques to impute missing values or infer incomplete spend or performance metrics • Derive new fields—such as format groupings, platform classifications, creative types, and targeting attributes—using pattern recognition and model-based inference across text fields • Produce structured dimensions from unstructured data to improve downstream reporting • Document the logic and assumptions behind model-driven derivations to ensure transparency and reproducibility • Investigate anomalies, unexpected trends, and data gaps by tracing issues back to source fields • Build dashboards that help internal teams observe data quality, volume, deviations, and model-driven insights • Provide ad-hoc deep dives into digital spend patterns, forecast accuracy, and classification performance for product, ops, and leadership Skills • 5+ years of experience as a Data Analyst or Data Operations Analyst • Expert-level Python (Pandas, Regex) and SQL • Experience extracting meaning from unstructured or text-heavy data • Working knowledge of forecasting, regression, and basic statistical modeling (e.g., ARIMA, Prophet, linear regression, or similar methods) • Familiarity with text classification / NLP workflows (e.g., scikit-learn, spaCy, Hugging Face) • Awareness of AI-assisted development tools and basic understanding of generative AI / LLM concepts and their applications in data enrichment and automation • Strong understanding of data hygiene, classification logic, and dimensional modeling • Comfortable working in data warehouses (Snowflake, Redshift, etc.) • Ability to create repeatable, documented transformation logic Benefits • Medical, Dental, Vision, Health Savings Account, Flexible Spending Account • STD, Life, LTD and AD&D • 401(k) with a company match program • Unlimited Paid Time Off (PTO) • Paid Parental Leave • Commuter Benefits • Employee Recognition Program • Referral Bonus Program Company Overview • At Guideline, we're defining the future of how the world buys and sells media. It was founded in 2020, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship • Guideline has a track record of offering H1B sponsorships, with 8 in 2025, 3 in 2024, 11 in 2023, 13 in 2022, 10 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job