Senior Consultant – IT Research, Business Analytics & Dashboarding EA-1368

NAXCON GmbH, headquartered in Weil am Rhein with additional offices, including Stuttgart, is one of Germany's leading engineering and IT service providers.

Our experts possess extensive expertise in software and hardware development, modern electronics, and cutting-edge technologies such as Artificial Intelligence (AI).

In addition to delivering high-quality engineering solutions for our customers, we are passionate about driving our own innovation projects as well as research and development activities. Renowned companies from a wide range of industries place their trust in our expertise, reflecting the outstanding knowledge, professionalism, and commitment of our engineers.

Position: Senior Consultant – IT Research, Business Analytics & Dashboarding

Location: Berlin, Bonn, Munich, Meckenheim (You can choose one of these locations to work from)

Field: Defence

Type: Full-time/80% remote

Project Environment

The role is part of a research, business analytics and dashboarding function responsible for conducting high-quality IT, technology, market and business research. Information from internal and external sources is systematically identified, analysed, evaluated and prepared for management and specialist departments.

The function also supports enterprise search and AI-enabled knowledge and information systems by providing reliable, structured information and contributing to the development of data-, knowledge- and AI-based solutions.

Research forms the core of the position. The Senior Consultant independently examines complex IT, technology, market and business questions and converts the findings into robust executive briefings, analyses and decision-making materials.

The specialist focus lies in:

• Business analytics
• Data analytics
• Business intelligence
• Statistics
• Dashboarding
• Data visualisation
• Management decision support

Qualitative research findings and quantitative data are combined to create reusable analytical and decision-support products. Depending on project priorities, the focus may shift between research, analytics, dashboarding and data visualisation.

Responsibilities

• Independently conduct complex IT, technology, market and business research.
• Systematically identify, evaluate and combine qualitative and quantitative information.
• Assess the reliability, relevance and limitations of internal and external information sources.
• Structure research and business questions and select appropriate analytical methods.
• Conduct market, usage, trend, benchmarking, KPI, performance and economic analyses.
• Develop and apply scoring, evaluation, maturity and scenario models.
• Define relevant indicators, metrics and analytical logic for management decision support.
• Analyse structured and unstructured data to identify trends, patterns and decision-relevant insights.
• Combine qualitative research findings with quantitative analysis.
• Translate analytical results into evidence-based recommendations.
• Design and develop management dashboards, decision cockpits and comparable analytical products.
• Develop KPI systems and performance-monitoring structures.
• Apply data visualisation and data-storytelling techniques to communicate complex findings.
• Present developments, options, risks and decision requirements clearly and appropriately.
• Produce executive briefings, management reports, decision papers and analytical summaries.
• Design, plan and lead one or more consulting, research or analytics projects.
• Define project objectives, methods, work packages, schedules and deliverables.
• Coordinate interdisciplinary stakeholders from research, technology, business, analytics and management.
• Prepare and deliver presentations for management committees, specialist departments and project teams.
• Ensure that analytical results are understandable, traceable and suitable for executive decision-making.
• Develop reusable data, information, knowledge and analytical products.
• Continuously improve research, analytics, dashboarding and reporting methods.

Required Qualifications

• Master's degree, diploma or doctorate in a field relevant to the position.
• German language skills at CEFR C1 level.
• English language skills at CEFR B2 level.
• Demonstrable knowledge of systematic research and analytical methods.
• Experience identifying, evaluating and combining qualitative and quantitative information.
• Experience preparing complex research findings for management and specialist audiences.

Required Research and Analytics Expertise

The candidate must demonstrate practical knowledge of:

• IT and technology research
• Market and business research
• Source identification and evaluation
• Qualitative research
• Quantitative analysis
• Business analytics
• Data analytics
• Statistical analysis
• Management reporting
• Data-driven decision support

The candidate must have knowledge in at least three of the following areas:

• KPI analysis
• Performance analytics
• Market analysis
• Usage analysis
• Benchmarking
• Trend analysis
• Economic analysis
• Scenario analysis

Business Intelligence and Dashboarding Skills

The candidate must have practical experience designing or developing:

• Management dashboards
• Decision cockpits
• KPI dashboards
• Performance-monitoring solutions
• Data-driven analytical and decision-support products

Experience with at least one established business-intelligence or dashboarding platform is required, such as:

• Microsoft Power BI
• Tableau
• Qlik
• A comparable BI or visualisation platform

The role also requires strong knowledge of:

• Dashboard design
• KPI definition
• Data modelling
• Visual analytics
• Data storytelling
• Audience-specific visualisation
• Management-oriented presentation of analytical findings

Evaluation and Decision-Model Expertise

The candidate must demonstrate knowledge in at least two of the following areas:

• KPI systems
• Evaluation models
• Scoring models
• Maturity models
• Scenario analyses
• Comparable structured assessment methods

The candidate should be able to convert complex business and technology questions into transparent analytical models and decision criteria.

Required Professional Experience

The candidate should have:

• At least five years of professional experience at the interface of research, analytics, business questions and data-driven decision support.
• At least four years of experience independently conducting complex IT, technology, market or business research.
• At least three years of experience conducting data-based analyses, particularly KPI, performance, market, usage, benchmarking, trend or economic analyses.
• At least three years of experience designing, developing or enhancing management dashboards, decision cockpits or comparable analytical products.
• At least two years of experience developing or applying KPI systems, scoring models, evaluation models, maturity models or scenario analyses.
• At least three years of experience preparing and presenting executive briefings, management reports, decision papers or comparable analytical deliverables.

The required experience should represent continuous and substantive responsibility rather than isolated or occasional participation.

Typical Deliverables

• IT and technology research reports
• Market and business analyses
• Executive briefings
• Management presentations
• Decision papers
• KPI and performance analyses
• Market and usage analyses
• Benchmarking studies
• Trend analyses
• Economic evaluations
• Scenario analyses
• Scoring and maturity models
• Management dashboards
• Decision cockpits
• KPI visualisations
• Data-storytelling products
• Reusable analytical frameworks

Personal Competencies

• Strong analytical and structured thinking.
• Ability to structure complex research, business and data questions.
• Ability to combine qualitative findings and quantitative data into clear conclusions.
• Excellent communication and presentation skills.
• Ability to prepare complex findings precisely for different audiences.
• Strong interdisciplinary collaboration skills.
• Ability to work effectively across research, analytics, business, technology and management functions.
• High degree of independence and results orientation.
• Ability to prioritise and complete complex assignments autonomously.
• Strong ability to condense extensive information into decision-relevant messages and metrics.
• Strong visual communication and data-storytelling skills.
• Consulting mindset and confidence in coordinating with diverse stakeholders.
• High attention to quality, consistency and traceability.

Working Conditions

• Approximately 80% of the work may be performed remotely.
• Business travel of up to 20% of working time may be required.
• Travel may be undertaken by private car, rental vehicle, train or public transport in accordance with the applicable travel policy.
• Candidate profiles must include nationality information.
• Applicable security-related nationality and country restrictions must be observed.
• Eligibility for deployment in a security-sensitive environment must be confirmed before assignment.

Application and Evidence Requirements

Applications should include a detailed CV and relevant project references.

Each project reference should contain:

• Industry
• Project title
• Brief project description
• Duration of the assignment
• Detailed description of the candidate's responsibilities
• Research and analytical methods used
• Qualitative and quantitative data sources
• KPI, benchmarking or evaluation methods applied
• BI and dashboarding tools used
• Management deliverables produced
• Stakeholders to whom the findings were presented

Any time-limited certificates submitted as evidence must remain valid at the time of application. Equivalent evidence may be accepted where comparability to the required qualification can be demonstrated.

What we offer:

• International Working Environment: Join a diverse and multicultural team where people from different backgrounds and cultures collaborate to achieve outstanding results.
• German Language Development: Whether you are a beginner or an advanced speaker, we provide a supportive environment to help you improve your German language skills.
• Dedicated Point of Contact: You will have a personal contact within the company who will support and guide you throughout your employment.
• Professional Growth: Our engineers have the opportunity to work on exciting projects across different industries, continuously expanding their expertise and developing new skills.
• Regular Team Events: We organize regular company events to strengthen team spirit, encourage collaboration, and create a positive working atmosphere.
• Competitive Compensation: We value our employees and offer an attractive compensation package that reflects your qualifications, experience, and performance.

Note:

• Travel expenses for on-site interviews are covered by the candidates themselves