AI Data & Insights Officer

Jobtailor; Deutschland; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data analytics professional to develop datasets, models, and insights that drive AI agents and business decisions. You will cleanse and structure data from Salesforce, marketing and operations, establish governance standards, and identify opportunities within large datasets to improve decision making.

The role requires strong SQL, Power BI, and data modelling skills, plus experience with CRM data and KPI design.

Qualifikationen

• 5+ years of experience in data analysis, business intelligence, or analytics engineering.
• Experience with data preparation, cleansing, modelling and quality assurance.
• Proficiency in SQL and data visualization tools (Power BI or equivalent).
• CRM/operational data experience; Salesforce knowledge is a plus.
• Ability to design KPI dashboards and communicate actionable insights.

Aufgaben

• Develop and maintain datasets, models and insights supporting AI agents and business decision-making.
• Consolidate, cleanse and structure information from Salesforce, event platforms, marketing systems and operational tools.
• Define data-quality, metadata and governance standards for Agent Factory information.
• Identify trends, risks and opportunities within company datasets.
• Support secure data flows between systems and agent solutions.

Kenntnisse

Data analysis

SQL proficiency

Power BI

Data modeling

Data cleansing

KPI design

Ausbildung

Bachelor's degree in Analytics/CS/IS

Tools

Salesforce

Power BI

Microsoft Fabric

Azure AI Services

OpenClaw

Hermes

Jobbeschreibung

• Develop and maintain datasets, models and insights supporting AI agents and business decision-making


• Consolidate, cleanse and structure information from Salesforce, event platforms, marketing systems and operational tools


• Define data-quality, metadata and governance standards for Agent Factory information


• Identify trends, risks and commercial or operational opportunities within company datasets


• Support secure, reliable data flows between approved systems and agent solutions


• Create and maintain knowledge bases and retrieval structures


• Support design, testing and optimisation of RAG capabilities


• Prepare evaluation datasets and test cases for assessing agent outputs


• Translate business data into reusable agent skills, tools and intelligence services


• Monitor data-related failure patterns and recommend improvements


• Design dashboards, scorecards and reporting for business performance visibility


• Define and track agent adoption, accuracy, time saved, operational impact and commercial value


• Evaluate effectiveness and return on investment of AI agents and automations


• Develop actionable insight for leadership and business teams


• Establish repeatable methods for monitoring and communicating Agent Factory value


• Develop insight supporting customer retention, buyer and supplier engagement, sales effectiveness, event performance and workflow improvement


• Explore predictive and segmentation approaches


• Turn analytical findings into recommendations, prioritised opportunities and next actions


• Help teams move from descriptive reporting toward decision intelligence and next-best-action capabilities


• Work with departments across WWE to understand data, reporting and insight requirements


• Translate business questions into analytical work and practical data products


• Present complex findings to technical and non-technical audiences


• Promote responsible, evidence-led use of data and AI


• Document analytical methods, data definitions and reusable assets


• Occasionally work outside standard hours to support events or meet key deadlines


• Report to the Head of AI Implementation

Requirements

• Professional experience in data analysis, business intelligence, analytics engineering or a closely related role


• Strong experience of data preparation, cleansing, modelling and quality assurance


• Experience using SQL and visualisation tools such as Power BI, Microsoft Fabric or equivalent platforms


• Experience working with CRM, customer, commercial or operational data; Salesforce experience is particularly relevant


• Ability to combine information from multiple systems and work effectively with APIs or structured data integrations


• Strong understanding of KPI design, dashboarding and the communication of actionable insight


• Ability to translate complex evidence into clear business recommendations


• Excellent problem-solving, critical-thinking and attention-to-detail skills


• Strong communication and stakeholder-management skills


• Sound understanding of data privacy, access control and responsible use of business information


• Curiosity about AI, automation and the practical application of emerging technology


• Practical experience with RAG architectures, semantic search, vector databases or AI knowledge-management systems


• Strong understanding of large language models, machine-learning concepts and agent evaluation methods


• Proficiency in Microsoft Copilot Studio, Azure AI services or related Microsoft technologies


• Familiarity with OpenClaw, Hermes or similar agent platforms


• Track record of measuring AI, automation or digital-product performance


• Knowledge of predictive analytics, propensity modelling, segmentation or recommendation systems


• Understanding of marketing attribution, customer journey analytics or revenue analysis


• Ability to design trusted data products or reusable analytical services for consumption by other systems


• Background supporting AI transformation, digital transformation or cross-functional change programmes


• Background in the events and/or travel industry

Core Competencies

Demonstrates expertise in data analysis, business intelligence, and analytics engineering, with a strong focus on data preparation, cleansing, and modeling. Proficient in translating complex data into actionable insights and recommendations while ensuring data quality and governance.

Highest-signal resume keywords

• Data Analysis


• SQL Proficiency


• Power BI Experience


• Data Quality Assurance


• KPI Design

Hard Skills

• Data Preparation


• Data Cleansing


• Data Modeling


• Quality Assurance


• Predictive Analytics


• Segmentation


• Recommendation Systems


• Machine Learning Concepts


• RAG Architectures


• APIs Integration

Soft Skills

• Problem-Solving


• Critical Thinking


• Attention to Detail


• Communication Skills


• Stakeholder Management

Industry Keywords

• Business Intelligence


• Data Governance


• AI Transformation


• Digital Transformation


• Events Industry

Tools & Technologies

• Salesforce


• Power BI


• Microsoft Fabric


• Microsoft Copilot Studio


• Azure AI Services


• OpenClaw


• Hermes