Lightcast

Data Engineer

• Support the delivery of customer-facing data shares and listings across platforms
• Build an understanding of customer use cases and how Lightcast data is consumed across external data platforms
• Translate requirements into epics, user stories, and acceptance criteria
• Support backlog prioritization and ensure engineering teams are unblocked and delivering against roadmap commitments
• Maintain and publish datasets across Snowflake Secure Shares/Marketplace, Databricks Delta Sharing, BigQuery Analytics Hub, and S3 delivery
• Ensure data listings and entitlements are accurate and delivered within SLAs
• Support the definition and maintenance of data contracts, including schemas, versioning, and deprecation processes
• Monitor data quality (freshness, null values, duplicates) and flag issues
• Contribute to product launches through documentation, changelogs, and internal enablement

Associate Product Manager – Data Platform

Data Analyst

• Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
• Partner with linguistics and engineering teams to develop and refine language-specific parsers.
• Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to German (and/or German to English as needed).
• Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
• Document findings clearly and follow established processes to ensure consistency and quality.

Data Analyst, German

• Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
• Partner with linguistics and engineering teams to develop and refine language-specific parsers.
• Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Romanian (and/or Romanian to English as needed).
• Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
• Document findings clearly and follow established processes to ensure consistency and quality.

Data Analyst, Romanian

Data Scientist

• Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets.
• Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics.
• Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends.
• Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow.
• Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences.
• Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies.

• Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
• Partner with linguistics and engineering teams to develop and refine language-specific parsers.
• Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Arabic (and/or Arabic to English as needed).
• Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
• Document findings clearly and follow established processes to ensure consistency and quality.

Data Analyst, Arabic Dialects

Account Manager

• Own retention and renewal outcomes for a defined book of business, with direct accountability for renewal rates and churn prevention.
• Lead renewal strategy well in advance of contract end dates, including value articulation, usage analysis, pricing discussions, and renewal recommendations.
• Manage and negotiate renewals across annual and multi-year contracts, partnering with Sales and Legal as needed to close agreements.
• Identify and mitigate renewal risk early through proactive account planning and stakeholder engagement.
• Build trusted advisor relationships with key client stakeholders, including executive and institutional decision-makers.
• Lead structured account planning, including QBRs, success plans, and forward-looking roadmaps tied to renewal outcomes.
• Anticipate client needs and guide institutions in leveraging data and analytics to achieve strategic goals.
• Ensure successful onboarding, adoption, and time-to-value to support long-term retention.
• Monitor account health and usage trends, intervening when engagement or outcomes fall below expectations.
• Partner cross-functionally to resolve issues that could impact renewal or long-term account health.
• Identify and advance expansion, cross-sell, and upsell opportunities aligned to client needs and institutional priorities.
• Support expansion conversations while maintaining ownership of the overall client relationship.

Account Manager, Customer Success – Retention & Renewals

• Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
• Partner with linguistics and engineering teams to develop and refine language-specific parsers.
• Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Mandarin h (and/or Mandarin to English as needed).
• Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows.
• Document findings clearly and follow established processes to ensure consistency and quality.