Job Description

Data Associate

Location: Puducherry

Job Type: Full-time

Job Summary:

As a Data Associate, you will be afoundational pillar in Straive’s data ecosystem, directly impacting the qualityand depth of our operational intelligence. Your primary mission will be tometiculously classify, attribute, and maintain advertising content acrossdiverse media – including digital, mobile, broadcast (TV/radio), and print.This involves not only the precise review of ads but also the diligent creationand upkeep of product records within the product catalog, and the granulartagging of creative elements that enrich our datasets for client consumption.

This role offers an exceptional entrypoint for detail-oriented individuals passionate about building a robust careerin data operations, with valuable exposure to analytics, automation, and datagovernance pathways.

Key Responsibilities:

●      Content Classification: Utilize the client’s proprietaryplatforms to meticulously review and categorize advertising content across aspectrum of media (digital, mobile, TV, radio, print), ensuring precise assignmentof product, advertiser, brand, and campaign details.

●      Catalog Management: Establish and maintain comprehensiveproduct records within the client Product Catalog, adhering strictly toestablished governance standards, documentation, and reference guidelines.

●      Creative Attribution: Enrich advertising data by attributingkey creative elements – including audio cues, textual content, visualcomponents, promotional offers, pricing structures, seasonal themes, and targetdemographics – using our specialized platforms.

●      Process Improvement: Actively contribute to continuousoperational improvement by identifying inefficiencies, proposing innovativesolutions, streamlining workflows, and elevating overall speed, accuracy, anddata quality.

●      Data Integrity: Proactively identify and report gaps in mediadetails, taking decisive action to ensure data completeness and integrity.

●       Collaborative Communication:Foster clear and effective communication with team members, leadership, andcross-functional operational teams.

Required Skills:

●    ExceptionalAttention to Detail: You must be able to spot subtle product

differences and inconsistencies.

●    StrongAnalytical and Research Skills: The ability to quickly understand an

advertisement and efficiently search a largedatabase/taxonomy to find specific

information is essential.

●    LogicalThinker: You need to be able to navigate a structured taxonomy and

make accurate judgments based on product attributes.

●    DigitalLiteracy: You should be comfortable navigating various social media

platforms and websites.

●    Self-Motivated:You need to be able to work independently and manage your

time effectively to meet quality and productivitytargets.

●    ExcellentCommunication: Clear and concise communication skills are

necessary for providing feedback.

Qualifications & Requirements:

●      Bachelor's degree or equivalent practical experience in anydiscipline (technical background not required).

●      Ideal for recent graduates or individuals with early-careerexperience in data processing, operations, media, product cataloguing, or arelated field.

●      Exceptional organizational skills, a collaborative teamplayer, and a proven ability to meet tight deadlines.

●      Demonstrated high degree of accuracy, proactive approach, andmeticulous attention to detail.

●      Strong analytical aptitude and a natural inclination fordata-driven processes and operational workflows.

●      Outstanding written and verbal communication skills in English.

●      Proficiency in basic MS Office applications.

●       Flexibility to adapt torotational working days (including holidays) and varying working hours,dictated by the dynamic nature of media content.

Measures of Success:

●      Data Accuracy: Consistently achieve and maintain aclassification, attribution, and catalog update accuracy rate of 98% or higher.

●      Processing Efficiency: Meet or exceed defined teamproductivity benchmarks for daily ad processing volume (classification andattribution mix).

●      Data Completeness: Ensure over 95% of processed ads includeall mandatory product, creative, and metadata details.

●      Quality Assurance: Maintain a rework/error rate below 2% ofprocessed volume through meticulous attention to detail and strict adherence tostandards.

●       Continuous Improvement:Proactively contribute to impactful process or tool enhancements annually,driving improvements in speed, quality, or automation adoption.