Data Analytics Manager

We're hiring a (remote) Data Analytics Manager for a Consumer Intelligence Platform Used by Leading Global Brands

Our AI-powered consumer intelligence platform transforms billions of data points (Google searches, social conversations, product reviews, and videos) into strategic insights for global brands such as Coca Cola, Unilever, and Bayer. We deliver in days what traditional research takes months to produce.

The Role

The Data Analytics Manager will own three interconnected responsibilities: leading the Data Analyst team, managing data vendor relationships and quality, and driving new client deliveries from intake to go-live.

You’ll sit at the intersection of data operations, vendor strategy, and client delivery. You’ll be the person who ensures our data foundations are solid (vendor quality, coverage, and reliability), our team is executing effectively, and every new client build hits production on time with dashboards that meet our quality standard. This is a hands-on leadership role in a fast-growing AI company. You’ll build standards, not just follow them.

What You’ll Do

Lead the Data Analyst Team

• Direct line management: set expectations, run daily stand-ups, track commitments, manage performance, and develop your team.

• Govern data quality at every stage of the delivery process. You define “done,” verify “done,” and do not allow “mostly done” to progress.

• Manage team capacity across all active builds and flag resourcing constraints before they become delivery failures.

• Own the MDM coding dependency: requirements briefed clearly, outputs validated, feedback loops closed.

Own Data Vendor Relationships & Quality

• Own and optimize relationships with third-party data vendors who supply social, review, and search data across global markets and languages.

• Track vendor performance: data completeness, timeliness, quality, and SLA compliance. Know when a vendor is underperforming before it impacts a client delivery.

• Proactively identify and assess new data sources that expand coverage – new platforms, new markets, new languages, better quality, or lower cost.

• Provide structured evaluations (coverage, quality, integration feasibility, cost) that the product team can act on.

Drive New Client Delivery

• Own the end-to-end new client delivery pipeline: from intake triage through scoping, feasibility, build, QA, UAT, and Production go-live.

• Triage every new delivery request within 24 hours: confirm completeness, assign an owner, and initiate scoping.

• Ensure no build begins without a complete brief: scope, data sources, acceptance criteria, and market requirements.

• Own client UAT coordination: structured invitation, defined feedback window, and actioned outcomes.

• Deliver a clean handoff to the Project Manager at go-live: complete brief, category list, and known dependencies.

Report and Improve

• Report delivery risk promptly and factually – no soft-reporting to avoid difficult conversations.

• Run a weekly lock-step review with the Project Manager to align on delivery status across new and recurring workstreams.

• Continuously improve delivery standards: identify structural process improvements, not just temporary fixes.

How You’ll Be Measured

• Intake triage SLA: every new request triaged within 24 hours, no exceptions.

• On-time go-live: new clients launch by agreed date, or escalation raised before the deadline.

• Data quality first-pass rate: QA pass rate improves quarter over quarter.

• Vendor performance: vendor SLAs tracked, quality issues documented and resolved proactively.Vendor data issues are detected early, triaged fast, and don’t reach production dashboards

• Clean go-live handoff: PM receives complete brief before the delivery epic closes.

• Team health: analyst capacity managed proactively, team development objectives progressing. Analyst team is productive, predictable, and delivering consistent validation outputs

• Reduced recurrence of quality incidents through better gates + vendor accountability

What We’re Looking For

• 5–10 years in data analytics, data operations, or business intelligence with a strong understanding of data pipelines, QA, and dashboard publishing.

• 3+ years of direct line management of data analysts or similar roles – performance management, not just task delegation.

• 2+ years managing external data vendor relationships: SLA tracking, quality audits, source evaluation, and partner optimization.

• Proven ownership of a structured delivery pipeline (intake to go-live) with multi-stakeholder sign-offs and client UAT.

• Strong data quality governance instincts: you define acceptance criteria, enforce them, and improve first-pass rates systematically.

• Jira experience at a project management level – building workflows and tracking pipelines, not just updating tickets.

Preferred Qualifications

• Experience with social media, review, or search data at scale – especially across multiple languages and non-Latin scripts.

• Familiarity with Azure Databricks, Delta Lake, NLP models, or dashboard publishing.

• MDM experience: coding, validation, and dependency management.

• Background in CPG, FMCG, or consumer insights industries.

• Startup or scale-up experience where you built delivery processes from scratch.

The Opportunity

• Own the data foundation that powers AI-driven insights for Fortune 500 consumer brands.

• Lead a team, shape vendor strategy, and drive client delivery – this role has breadth most data analytics roles lack.

• Fully remote with the autonomy to build standards at a fast-growing company.

• Work with cutting-edge AI/ML, NLP, and GenAI pipelines on global multilingual datasets.

• Direct impact on product quality and client satisfaction – your decisions are visible in every dashboard we ship.