About Us

Straive is a global leader in data analytics and AI operationalization, helping enterprises embed advanced AI and data capabilities into core business workflows to deliver measurable business outcomes and ROI. With a workforce of ~20,000 professionals serving 350+ clients across 30+ markets, Straive combines technical scale with deep domain expertise. A key differentiator is its network of over 6,000 subject matter experts who specialize in managing and enriching complex, unstructured data enabling organizations to build AI systems grounded in accuracy, context, and business relevance.

The company continues to earn recognition from leading industry analysts and was recently named a Leader in AIM’s 2026 Generative AI and Data Engineering PeMa Quadrants. Backed by EQT a purpose-driven global investment organization which was ranked among the world’s leading private equity firms by PEI in 2025 Straive is positioned as a high-value alternative to traditional IT services providers, combining domain-led intelligence with AI execution at scale.

We are looking for a detail-oriented and analytical Intake Analyst to manage the critical onboarding and initial data/content processing phase for incoming client assets. In this role, you will evaluate incoming digital assets, validate data schemas and business rules, assess intake quality, and streamline intake workflows between client teams and operational units.

Key Responsibilities

- Data & Content Triage: Receive, catalog, and evaluate incoming client data feeds, documents, and unstructured assets for completeness and adherence to required specs.




- Requirement Validation: Review intake requirements, schemas, and metadata standards to ensure files meet preprocessing criteria before moving to production or automated AI pipelines.
- Process & Workflow Optimization: Identify bottlenecks in the intake pipeline and collaborate with engineering and operational teams to refine data ingestion protocols.
- Issue Escalation & Tracking: Document intake anomalies, missing files, or format discrepancies, working directly with client contacts or internal account managers to resolve issues quickly.
- Quality Assurance (QA): Perform routine sampling and audits on ingested data to maintain high accuracy and data integrity across workflow stages.
- Documentation: Maintain up-to-date Intake Standard Operating Procedures (SOPs), data mapping dictionaries, and process flowcharts.

Key Tech Stack & Skills

Required:

- Education: Bachelor’s degree in Business Information Systems, Data Analytics, Computer Science, Communications, or a related field.
- Experience: 0–4 years of experience in data intake analysis, business analysis, content operations, or data quality management (experience in BPO, ITES, or publishing/content services preferred)

Technical Proficiency:





- Advanced proficiency in Microsoft Excel / Google Sheets (VLOOKUP, Pivot Tables, data validation functions).
- Familiarity with data formats (XML, JSON, CSV, PDF structure, metadata schemas).
- Basic knowledge of SQL for database querying is a solid plus.
- Analytical Skills: Demonstrated ability to spot patterns, anomalies, and errors in large volumes of structured and unstructured data.
- Communication: Strong written and verbal English communication skills for collaborating across global cross-functional teams and managing client queries.

Recognition & Achievements

● We have been recognized as a Star Performer in Data & AI Services Specialists - Everest’s North America PEAK Matrix 2025, and as a Leader in AIM’s Pema Quadrant of Agentic AI Service Providers - 2025.

● In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.

For more information, please visit our Website https://www.straive.com/

"Straive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status."

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