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Entirely AG

Composable marketing SaaS ecosystem for personalization

Technical Consultant - Customer Support Analytics

Customer SupportConfirmed live in the last 24 hours
Full-timeGermanyNo salary listed

About the Job

Requirements

  • Strong practical SQL skills, including joins, aggregations, filtering, common table expressions, and investigating unexpected query results.
  • Experience investigating data or metric discrepancies in a production, SaaS, analytics, or customer-support environment.
  • Experience with data-visualisation or business-intelligence tools and a sound understanding of common visualisation concepts.
  • Basic working knowledge of JSON or similar structured-data formats.
  • Strong analytical and structured troubleshooting skills.
  • Ability to investigate ambiguous problems independently and follow them through to an actionable conclusion.
  • Ability to understand customer requirements and translate them into metric definitions or technical solutions.
  • Clear written and verbal communication, particularly when explaining technical subjects to non-technical colleagues or customers.
  • Comfort collaborating with customer-facing teams and technical specialists.
  • Good judgement about when to resolve an issue independently and when to escalate it.

Responsibilities

  • Provide technical and analytics support for customer inquiries escalated by Customer Support or other customer-facing teams where appropriate.
  • Respond to technical questions within customer conversations, including investigating the customer's account, configuration, metrics, and underlying data where necessary.
  • Troubleshoot metric-related issues, unexpected results, data inconsistencies, and suspected product bugs.
  • Use SQL and other available diagnostic tools to identify root causes and determine appropriate solutions.
  • Create and implement custom metrics based on customer requirements.
  • Translate customer requirements into technically sound metric definitions and configurations.
  • Develop expertise in data available from supported social networks, including platform-specific metric definitions, limitations, and differences.
  • Monitor relevant changes to social-network APIs, available metrics, and data definitions that may affect customer reporting.
  • Identify recurring customer metric requirements and contribute to improving or standardising reusable metrics and configurations where appropriate.
  • Explain technical findings and proposed solutions clearly to Customer Support colleagues and, where required, directly to customers.
  • Distinguish between configuration issues, data-quality problems, incorrect metric definitions, expected product behaviour, and potential software defects.
  • Reproduce and document suspected bugs before escalating them to Analytics or Development teams.
  • Collaborate with Analytics, Product, and Development colleagues to resolve issues that cannot be addressed within Customer Support.
  • Identify recurring customer issues, metric gaps, and support patterns and feed these back to Product and Analytics to improve the product, documentation, and support processes.
  • Document investigations, solutions, and recurring issue patterns so that similar cases can be resolved more efficiently in the future.
  • Contribute to other analytics-related operational tasks as required.

Desired Qualifications

  • Previous experience in technical support, product support, analytics support, solutions consulting, or a similar customer-facing technical role.
  • Experience configuring custom metrics or calculations within an analytics product.
  • Familiarity with common data-quality and metric-definition problems.
  • Experience working with ticketing or customer-conversation platforms such as Intercom.
  • Knowledge of social-media analytics and common key performance indicators, such as reach, impressions, engagement, audience growth, clicks, and video views.
  • Experience working in a fast-moving SaaS or software-product environment.

About the Company

Entirely AG

Composable marketing SaaS ecosystem for personalization

Entirely is a SaaS-based marketing technology ecosystem that unites multiple MarTech tools into an open, composable platform. It connects data, content, and engagement across tools to enable personalized and scalable marketing. The product works by linking different Martech applications so teams can orchestrate and collaborate across existing and new technologies; it uses data orchestration and AI to create hyper-personalized content and trigger events for targeted campaigns. This approach differentiates Entirely from competitors by offering a European, open alternative to closed, siloed platforms, consolidating capabilities from its founding partners (censhare, ELAINE, Facelift, Marmind) and backed by DuMont, under one roof. The goal is to help marketers move from managing a toolkit to mastering outcomes, delivering personalized experiences at scale while simplifying integraton and collaboration across a global customer base.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2020

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