Ritual

Data Analyst

• Take ownership of daily data quality processes, including structured data checks and quality control routines across Vortexa’s proprietary datasets.
• Investigate data issues, whether raised through internal channels, client support queries, or your own observations.
• Diagnose root causes and apply fixes to resolve them.
• Map and reconcile data between Vortexa’s internal datasets and external data sources or third-party providers.
• Handle internal and external support requests, helping clients and colleagues validate data and understand discrepancies.
• Collaborate with the R&D team to surface patterns of systematic data errors and contribute to longer-term data improvements.
• Write and maintain Python scripts to support data investigations and automate routine tasks, along with a willingness to leverage AI tools to enhance your work.
• Proactively identify opportunities to improve or systematise manual processes, (with AI or scripting), and contribute ideas to the broader data analysis team.

Associate Data Analyst – Energy and Freight Markets

Performance Marketing

• Full-funnel demand generation strategy covering awareness, consideration, conversion, and expansion — with a pipeline contribution number to match
• Net new and account expansion motions, including ABM strategy across Tier 1 and Tier 2 accounts, intent-driven cross-sell plays, and alignment with Sales and Customer Success on expansion pipeline
• Inbound motion design and optimisation: the conversion architecture that turns demand into pipeline — landing pages, CTAs, form strategy, demo request flow, and the feedback loop between inbound signal quality and channel investment decisions
• Content strategy aligned to buyer problems and funnel stage — not product announcements — with nurture tracks that are solutions-first and persona-specific
• Paid and performance channel strategy — including paid search, paid social, and SEO — as an integral part of the demand motion, justified by pipeline contribution rather than traffic or impressions
• Organic and SEO growth: keyword strategy, content-to-search alignment, and AI search visibility (GEO/AIO) — ensuring Vortexa’s content is crawlable, rankable, and present in LLM-driven discovery
• The marketing technology stack — assessing, evolving, and owning the tool architecture needed to run a modern demand operation, with a bias toward AI-driven workflows, automation, and API-based activation over manual execution
• This role sits inside Marketing but operates as part of a broader GTM system. The two most critical working relationships outside the marketing team are:
• Marketing Operations Lead
• Shared accountability for campaign tracking, attribution logic, marketing automation governance, and the reporting infrastructure that connects marketing activity to revenue. You bring the demand signal; they build the systems that make it measurable and repeatable.
• RevOps
• Alignment on funnel definitions, lead routing, CRM data quality, and cross-GTM reporting consistency. Alignment and enforcement of SDR SLAs and oversight on performance. Demand generation metrics are only credible if Sales, Marketing, and RevOps are measuring the same motion from the same data.

Head of Demand Generation – AI

Solutions Engineer

• Partner with Sales, Customer Success, and Product to scope presales requirements and define client-aligned technical solutions.
• Lead early-stage technical qualification alongside Sales — assessing prospect API-readiness, understanding existing data infrastructure, identifying internal champions, and defining what a successful proof of concept looks like before a trial begins.
• Deliver credible technical presentations of Vortexa's SDK/API capabilities to prospects and clients.
• Manage trial and POC engagements with defined success criteria and milestones — owning the technical outcome from setup through to conversion decision, not just providing reactive support.
• Own competitive technical positioning in client and prospect conversations — confidently addressing integration and data quality objections, and articulating Vortexa’s API advantages relative to alternatives in the market.
• Create bespoke technical solutions and workflows leveraging Vortexa's external interfaces for energy and freight market intelligence use cases.
• Provide ongoing support for newly onboarded API accounts, guiding integrations into client databases, applications, and BI environments.
• Collaborate with CSMs and Sales to proactively identify new integration opportunities and support deeper product adoption.
• Act as a client-facing conduit for product feedback, surfacing enhancement opportunities to the Product and R&D teams.
• Monitor API usage health across the active client base — tracking adoption patterns, flagging accounts showing low engagement or unusual drop-off, and initiating proactive outreach before issues become churn signals.
• Identify and develop technical champions within client organizations — building relationships with the individuals who own or influence the integration internally, ensuring Vortexa has an advocate when commercial conversations arise.
• Actively surface expansion signals to Sales — connecting client usage patterns (e.g., new data types being queried, increased call volume) to commercial opportunities and flagging them with the relevant account owner.
• Develop and maintain integration patterns, code examples, and technical documentation in Vortexa's Solutions GitHub repository (Python files, Jupyter notebooks).
• Contribute to content development — including tutorials, blog posts, and roadshow materials — that showcases the capabilities of Vortexa's SDK/API.
• Work collaboratively with the broader SA team using methods such as pair programming to develop efficient, reusable data scripts.
• Support Sales enablement — coaching AEs on when and how to engage the SA, how to handle basic technical questions independently, and how to position API vs. GUI delivery in discovery conversations.
• Support R&D teams in testing new features and improving SDK/API documentation.

Associate Data Analyst – Energy and Freight Markets

Head of Demand Generation – AI

Solutions Architect