Statista

Consultant

• Deliver compelling pitches and live demos of Statista Connect to prospects and customers, from analysts to C-level.
• Independently build and iterate on demo agents, prompts, and workflows tailored to each customer's use case — and use them to create genuine excitement and "I need this" moments in every meeting.
• Guide customers from initial setup to advanced use cases with tailored prompts, agents, onboarding flows, documentation, and tutorials — carrying the excitement from the pitch through to daily usage.
• Use product usage data, API analytics, and customer health scores to spot adoption blockers and expansion opportunities, and act on them with proactive guidance, lifecycle outreach, and new pitch angles.
• Ensure smooth API integrations, resolve blockers quickly, document best practices, and collaborate with engineering on technical challenges.
• Identify upsell and expansion opportunities and support sales teams with demos and technical storytelling in renewal and growth conversations.
• Share insights from pitches, demos, and usage data with product and engineering to sharpen the pitch, refine demo agents, and shape the roadmap.

API Consultant

Student

• Support the creation and updating of analytical insights in the form of content products such as statistical reports and related articles
• Conduct research on industry trends, data sources, and relevant background information for a variety of markets
• Assist in preparing updates by reviewing existing market overview articles and statistical reports and gathering supporting sources
• Analyze groups of existing statistical reports to identify patterns, indicators, and content structures
• Collaborate with cross-functional teams to support development of analytical insights and research activities

Working Student, Analytical Insights – Industry & Mobility

Analytics Engineer

• Design, implement, and maintain backend services in Python that power our data access and distribution layer
• Build and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes
• Design and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry
• Build access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API
• Act as the coordination interface between the Data and Tech divisions, aligning priorities, schemas, and timelines across upstream and downstream teams

Data & Analytics Engineer

Manager

• Serve as the central point of contact for all strategically relevant initiatives and topics
• Facilitate collaboration between cross-functional teams to ensure project success
• Define strategic objectives for the upcoming year and break them down into specific areas
• Conduct and prepare robust market and competitor analyses to identify new growth opportunities
• Connect the dots between ongoing initiatives, C-level priorities, and market developments, ensuring alignment and timely information flow
• Prepare decision papers for management based on complex information, using qualitative and quantitative methods
• Plan and run workshops with senior management and key stakeholders

Junior Corporate Development Manager

Data Analyst

• Own and continuously improve a portfolio of market models for a dedicated industry to help produce proprietary data, developing deep domain and quantitative-methods expertise over time
• Analyze structured and unstructured data from a wide variety of internal and external sources to estimate and forecast market developments
• Build, maintain, and enhance statistical models to measure market size, growth, and key performance indicators
• Develop reproducible Python-based analytical workflows that ensure robust and explainable model outputs
• Use and support the development of AI tools to accelerate research, modeling, documentation, and quality assurance
• Contribute reusable modeling components, automation capabilities, and best practices to help build the next generation of our AI-enabled production platform
• Collaborate closely with Data Engineering to continuously improve our production system and deliver proprietary data faster, more consistently, and at greater scale

Junior Analyst – Modeled Data

Full-stack Engineer

• Own the design, development, and maintenance of backend services in Kotlin, PHP, and Python to support user data flows.
• Design and optimize scalable event-driven architectures and pipelines connecting internal systems with Customer Data Platforms (CDPs) and downstream marketing channels.
• Develop reliable, high-performance processes for collecting, transforming, and activating user data, ensuring accuracy and timeliness for campaigns and analytics.
• Lead technical design decisions, mentor engineers, and promote engineering best practices across the team.
• Collaborate closely with marketing, data, product, and platform teams to align technical solutions with business objectives.
• Ensure scalability, reliability, security, and observability through monitoring, logging, testing, and proactive improvements.
• Champion engineering excellence across the software development lifecycle, including architecture, testing, CI/CD, deployment, and maintenance.
• Be open to working across different technologies, including frontend development and monolithic applications, depending on business needs.
• Use AI tools in day-to-day software development to improve productivity and code quality.

Senior Software Engineer – GTM

• Support in maintaining and further developing Statista’s ranking and rating databases, ensuring consistency, accuracy, and scalability
• Collaborate on data pilots and benchmarking projects — from design and metric development to scoring and results analysis, interacting directly with our clients as part of an interdisciplinary Statista project team
• Integrate, clean, and standardize external datasets from hospitals, ministries, and partners for unified use in Statista’s healthcare products
• Develop and document data models and scoring frameworks in alignment with the Healthcare Analysis and IT teams
• Support the development of Statista’s Unified Health Database and future Healthcare Data Platform
• Perform internal analyses and reporting to improve data quality and performance metrics of existing healthcare products
• Ensure data validation and reproducibility, including peer review and internal QA checks.
• Actively contribute ideas for new data-driven healthcare products and improvement of existing workflows

Consultant – Healthcare Data

Analyst

• Own and manage top-line revenue planning in close collaboration with Controlling, including annual budgeting, quarterly forecasts (RFC), and global revenue targets
• Translate revenue plans into concrete sales targets and ensure alignment across regions and stakeholders
• Prepare and consolidate monthly performance analyses, providing clear insights and recommendations for senior leadership (CLT)
• Create high-quality presentations and decision materials for C-level stakeholders, including performance updates and business reviews
• Support the preparation and coordination of global Quarterly Business Reviews (QBRs) in collaboration with Sales leadership
• Monitor revenue performance, identify deviations from plan, and proactively highlight risks and opportunities
• Collaborate closely with Sales, Revenue Operations, Finance, and other stakeholders to ensure consistency of planning and reporting
• Support and further develop forecasting logic, planning assumptions, and financial models
• Contribute to improving data quality and reporting structures in collaboration with Data and BI teams
• Calculate and validate bonus payouts based on target achievement for Sales, ensuring accuracy, transparency, and alignment with incentive schemes

Senior Revenue Analyst

Data Engineer

• Build and optimize AI-driven workflows for data visualization and export
• Develop systems that analyze datasets and recommend the most suitable visualization types
• Design and evaluate LLM-based features, including prompt strategies and quality metrics
• Work on data classification, structuring, and enrichment to improve usability
• Turn experiments into production-ready services (Java-based backend)
• Define and track quality and success metrics (e.g., output accuracy, user value)

AI Engineer, Data Visualization – AI Workflows

Engineering Manager

• Own the engineering strategy and delivery for Statista’s Acquisition & Registration domain
• Lead, coach, and develop a cross-functional engineering team of frontend, backend, and QA engineers
• Partner closely with Product Management to deliver the product roadmap
• Shape and evolve the technical architecture across acquisition and registration services
• Drive the adoption of AI-native engineering practices
• Stay hands-on with technology by contributing to coding, architecture, and technical decision-making

Engineering Manager – Go-to-Market

Data Scientist

• Define and continuously evolve the strategic value proposition of Statista's insights offering, ensuring its relevance and differentiation in an AI-dominated world
• Drive automation across the insights production workflow to significantly increase output while optimizing team capacity and resource allocation
• Design and implement scalable, AI-first processes that enable your teams to produce insights more efficiently without compromising on quality
• Establish and manage systematic quality assurance frameworks that ensure the accuracy, consistency, and editorial standard of all published insights
• Own topic setting and editorial direction, aligning closely with data production and general production steering to ensure a coherent strategy across the organization
• Collaborate with the Data Engineering team to build and continuously improve the tools, pipelines, and scalable infrastructure needed to support automated insights production
• Leverage analytics and customer usage data to evaluate the impact of published insights, inform topic prioritization, and thus drive measurable value for Statista's users
• Lead, develop, and empower six Team Leads, fostering a culture of ownership, continuous improvement, and cross-functional collaboration

Head of Data Insights Operations

Procurement

• Design and implement Statista's global procurement strategy with a focus on achieving cost savings in software and maintaining high agility
• Implement automation for evaluating and servicing software needs
• Further develop the procurement organization, including procurement processes, tools and policies, in close coordination with adjacent internal departments such as Finance
• Closely coordinate with business units to manage software and license acquisitions
• Plan and manage software costs in close cooperation with Controlling and software owners within the business units
• Select, evaluate and manage suitable service providers, and conduct price and contract negotiations
• Lead and develop the team

Head of Procurement

• Design, build, and optimize scalable data models using modern data stack tools (e.g., dbt, Snowflake)
• Transform raw data into clean, reliable, and well-documented datasets for analytics, reporting, and operational use
• Collaborate closely with data engineers, analysts, tracking teams, and business stakeholders to define data requirements and ensure alignment
• Implement and maintain data quality checks, testing, and monitoring to ensure accuracy and reliability
• Develop and manage semantic layers to standardize and govern key business metrics
• Improve data accessibility and usability across teams by promoting best practices and clear data structures
• Document data models, definitions, and workflows to enhance transparency and data literacy
• Contribute to data governance, harmonization, and automation initiatives, including enabling AI-driven analytics use cases

Account Manager

• Own the end-to-end sales cycle for logo and study licenses in Italy and across Europe, from prospecting and discovery through proposal creation, negotiation, contracting, and renewal/upsell
• Drive national and international licensing projects across rankings, awards, and multi-market initiatives, translating client needs into compelling commercial packages
• Identify and develop new business opportunities in existing and emerging European markets through multichannel outreach and creative go-to-market approaches
• Build trusted relationships with C-level and senior decision-makers across Marketing, Communications, Employer Branding, HR, and Corporate Affairs
• Collaborate with leading media partners (e.g., Il Sole 24 Ore, Corriere della Sera, Forbes, Financial Times) to co-develop activation concepts, align on partner requirements, and ensure excellent delivery for joint campaigns
• Coordinate cross-functionally in a lean hierarchy: collaborate closely with sales ops, marketing, legal, and project teams to ensure smooth handovers, high-quality proposals, and reliable project execution

Senior Key Account Manager – Italy

Sales Operations Manager

• Own global enablement topics end to end: define the program hypothesis, build content, run it through activation gates, and continuously evolve it based on data and field feedback
• Design structured programs with clear learning objectives, audience segmentation, activation plans, and success metrics that go well beyond one-off trainings
• Partner across the matrix with other Global Enablement Managers, Sales Operations, L&D, Product Marketing, and Profit Center leadership to align priorities and drive adoption
• Adapt and roll out programs locally for GSAA in German, including tailored materials and live sessions
• Coach hands-on with German-speaking teams through call reviews, deal coaching, and skill practice with reps and front-line managers
• Measure and report impact on ramp time, win rate, deal velocity, content usage, and revenue influence to keep programs accountable to business outcomes