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(Junior) Analytics Engineer - Job Opportunity at Gemma Analytics

Berlin, Germany
Full-time
Entry-level
Posted: June 9, 2025
Hybrid
EUR 45,000-55,000 annually based on junior-level positioning in Berlin market, with profit-sharing potentially adding EUR 9,000-11,000 annually depending on company performance, making total compensation competitive with established tech companies in the region

Benefits

Hybrid work model with two office days per week providing optimal work-life balance while maintaining team collaboration
Extended EU workcation allowances up to 3 months annually offering exceptional location flexibility rare in the industry
Premium equipment package including high-performance laptops and multiple monitors ensuring productivity optimization
Profit-sharing program distributing minimum 20% of company profits to employees creating direct financial stake in company success
Annual week-long company retreats in international destinations fostering team cohesion and cultural experiences
Market-competitive compensation structure positioned to attract top talent in the analytics space
Comprehensive learning and development program with regular meetups and lunch-and-learn sessions supporting continuous skill advancement
Inclusive work environment with explicit commitment to diversity and underrepresented groups in tech
Efficient work culture emphasizing output over hours worked promoting sustainable career longevity
Stable employment with profitable company operations independent of volatile VC funding cycles

Key Responsibilities

Drive client transformation initiatives by translating complex business requirements into scalable data solutions that directly impact strategic decision-making processes
Architect and implement robust data models and pipelines using cutting-edge technologies across diverse tool ecosystems, positioning clients for long-term analytical success
Design and develop executive-level dashboards and reporting systems that enable C-suite leaders to monitor critical business metrics and KPIs
Lead technology evaluation and implementation projects for modern data stack components, influencing company-wide tool selection and client service capabilities
Collaborate with senior stakeholders and domain experts to identify untapped data opportunities that can create competitive advantages for client organizations
Establish data governance foundations and best practices that ensure analytical scalability as client businesses grow and evolve
Contribute to client relationship management through technical expertise demonstration and solution presentation to business leadership teams

Requirements

Education

A degree in Business, Economics, or a related field — or hands-on business experience in a commercial, marketing, product, or operations role OR a recent MBA or other advanced business training

Experience

First experience with SQL and relational databases

Required Skills

Strong business acumen Analytical thinking SQL and relational databases Curious, open mindset Ability to think in both numbers and narratives Cross-functional collaboration skills Stakeholder management experience Programming language experience (e.g. Python) BI tools like Power BI, Tableau, or Looker Business fluency in German and English (C1 or native level in both) Data modeling techniques (e.g. Kimball or Data Vault)
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Sauge AI Market Intelligence

Industry Trends

The analytics engineering role represents the fastest-growing segment in data careers, bridging traditional business analysis with modern data engineering practices as organizations increasingly recognize the need for professionals who can translate business requirements into technical solutions. This hybrid role has emerged as companies struggle to find talent that combines deep business acumen with technical data skills, making it one of the most in-demand positions in the current market. Small and medium enterprises are driving unprecedented demand for analytics services as they recognize data as a competitive differentiator, creating a robust market for specialized analytics consulting firms like Gemma Analytics. The SME sector particularly values external expertise that can rapidly implement data solutions without the overhead of building internal teams. The modern data stack evolution has created opportunities for tool-agnostic professionals who can adapt to diverse technology environments, as companies increasingly prefer flexible solutions over vendor lock-in approaches. This trend favors consultants who can work across multiple platforms and recommend optimal solutions for specific business contexts. Berlin's position as a leading European tech hub continues to strengthen, with significant investment in data and analytics companies, creating a competitive but opportunity-rich environment for analytics professionals seeking career growth and diverse client exposure.

Role Significance

Working within a lean 20-person organization structure, this role likely involves collaboration with 3-5 direct team members including senior analytics engineers and data engineers, while interfacing with 2-3 client stakeholders per project, providing substantial visibility and impact opportunity.
This junior-level position serves as a crucial entry point into the analytics engineering field, offering direct client interaction and project ownership responsibilities typically reserved for more senior roles in larger organizations. The role provides accelerated career development through mentorship and exposure to diverse business challenges across multiple industries.

Key Projects

Implementation of end-to-end data pipelines for startup clients transitioning from manual processes to automated analytics systems Development of executive dashboard systems for SME leadership teams requiring real-time business performance monitoring Data architecture assessment and modernization projects helping established businesses migrate from legacy systems to cloud-based analytics platforms Cross-functional analytics initiatives supporting client expansion into new markets or product lines through data-driven decision making

Success Factors

Developing strong client relationship management skills will be critical as this role involves direct stakeholder interaction and requires building trust with business leaders who may have limited technical backgrounds. Success depends on the ability to communicate complex technical concepts in business terms while maintaining credibility as a technical expert. Cultivating business domain expertise across multiple industries will differentiate high performers, as the consulting environment requires rapid adaptation to diverse client contexts, from e-commerce startups to traditional manufacturing SMEs. The ability to quickly understand business models and identify relevant KPIs is essential. Building proficiency across multiple technology platforms and maintaining currency with emerging tools in the modern data stack will be crucial for long-term success, as clients expect consultants to bring knowledge of best practices and optimal tooling recommendations. Developing project management and stakeholder communication skills will be essential, as junior team members often serve as day-to-day client contacts and must manage expectations, timelines, and deliverables effectively while ensuring client satisfaction and project success.

Market Demand

High demand driven by digital transformation acceleration among SMEs and the scarcity of professionals combining business acumen with technical data skills in the European market

Important Skills

Critical Skills

SQL proficiency forms the foundation of all analytics work and will be used daily for data exploration, model development, and client solution implementation. Advanced SQL skills including window functions, CTEs, and performance optimization will be essential for handling complex client data scenarios and building efficient pipelines. Business acumen and stakeholder communication skills are equally critical as technical abilities, since success depends on understanding client business models, identifying relevant metrics, and translating technical capabilities into business value propositions. The ability to think commercially and speak the language of business leaders will determine long-term career success. Analytical thinking and problem-solving capabilities are fundamental for identifying patterns in complex datasets, troubleshooting data quality issues, and designing solutions that address underlying business challenges rather than just surface-level requirements. This skill set differentiates analytics engineers from traditional developers or business analysts.

Beneficial Skills

Python programming skills will significantly enhance career prospects and technical capabilities, enabling advanced data manipulation, automation of repetitive tasks, and integration with modern data science workflows that many clients are beginning to adopt for predictive analytics and machine learning initiatives. Experience with modern BI tools like Tableau, Power BI, or Looker will provide immediate value in client engagements and is increasingly expected as table stakes for analytics roles, while familiarity with multiple platforms offers flexibility in matching client preferences and existing technology investments. German language proficiency opens access to the broader DACH market and many traditional European businesses that prefer conducting technical discussions in local languages, potentially expanding client engagement opportunities and career advancement within the regional market.

Unique Aspects

The explicit focus on business acumen combined with technical skills creates a unique positioning for professionals seeking to bridge the traditional divide between business and technical roles, offering a career path that values commercial understanding equally with technical expertise.
The profit-sharing arrangement providing minimum 20% distribution to employees is exceptionally generous for a consultancy of this size, indicating strong financial performance and genuine commitment to employee equity participation in company success.
The tool-agnostic approach provides exceptional learning opportunities as most companies specialize in specific technology stacks, while this role offers exposure to diverse platforms and the ability to make technology recommendations based on client needs rather than internal constraints.
The combination of startup agility with profitable stability creates a unique work environment that avoids both the resource constraints of early-stage companies and the bureaucratic limitations of large enterprises, offering optimal conditions for professional growth and innovation.

Career Growth

Career progression typically occurs within 2-3 years given the accelerated learning environment and direct client responsibility, with high performers often advancing to senior roles within 18 months due to the hands-on nature of consulting work and mentorship support

Potential Next Roles

Senior Analytics Engineer positions within 18-24 months, leading larger client engagements and mentoring new junior team members while taking ownership of complex multi-stakeholder projects Data Engineering Manager roles focusing on team leadership and technical architecture decisions for enterprise clients requiring sophisticated data infrastructure solutions Client Success Manager or Business Development roles leveraging technical expertise to drive new business acquisition and expand existing client relationships Independent Analytics Consultant specializing in specific industry verticals or technical niches, building on the diverse client exposure and technical foundation gained in this role

Company Overview

Gemma Analytics

Gemma Analytics operates as a specialized data consultancy serving the underserved SME market segment, positioning itself as a profitable, bootstrap-funded alternative to venture-backed analytics firms. The company's focus on startups and SMEs represents a strategic market position, as these organizations typically lack the resources for internal data teams but have increasingly sophisticated analytics needs.

As a 20-person profitable consultancy, Gemma Analytics represents a stable mid-tier player in the European analytics services market, competing effectively against larger firms by offering personalized service and specialized SME expertise while maintaining operational efficiency and employee profit-sharing programs.
Based in Berlin's thriving tech ecosystem near Nordbahnhof, the company benefits from access to both established European businesses and emerging startups, while the EU workcation policy suggests a broader European client base and recruitment strategy extending beyond the German market.
The company culture emphasizes sustainable growth over rapid scaling, evidenced by profitable operations without VC funding, focus on work-life balance through hybrid arrangements, and commitment to employee development through mentorship programs and knowledge sharing initiatives.
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