Quipu
Financial Services
DataAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst at Quipu. Skills: data analysis, reporting, data visualization, Python, SQL, AI concepts, LLM-based systems. Collecting, preparing, analyzing, and visualising data related to software engineering, AI innovation, operational processes, and digital products. Supporting innovation activities through analytical insights, data preparation, evaluation frameworks, reporting, and experimental analysis across AI-driven initiatives, software delivery metrics, and internal knowledge platforms”
What You'll Achieve.
Improvement of data quality, reporting consistency, AI evaluation practices, and analytical visibility across innovation and software engineering activities
Industry & Context.
analytical and problem-solving skills
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related field, Equivalent practical analytical experience, Basic to intermediate experience with data analysis, reporting, or analytical projects, Experience with Python, SQL, or other analytical tooling, Experience with data visualization and reporting tools such as Power BI, Tableau, or similar, Familiarity with analytical workflows involving structured and unstructured data
Nice to Have
Basic understanding of machine learning, AI concepts, or LLM-based systems is considered an advantage, Familiarity with cloud platforms, modern data tooling, or software engineering environments is considered beneficial
What You'll Do.
and visualising data related to software engineering
operational processes
Supporting innovation activities through analytical insights
evaluation frameworks
and experimental analysis across AI-driven initiatives
software delivery metrics
and internal knowledge platforms
and structuring data from multiple sources including software development platforms
and analytical datasets
and visualizations supporting engineering
and operational decision-making
and operational indicators related to software delivery
and process efficiency
Supporting generation of analytical insights and recommendations based on collected data
Preparing ad-hoc analytical reports and presentations for internal stakeholders
Supporting AI and innovation initiatives through preparation and evaluation of datasets used for experimentation and prototyping activities
Assisting in preparation and validation of Retrieval-Augmented Generation (RAG) knowledge bases
document processing pipelines
and semantic search datasets
Supporting evaluation activities for AI-driven systems by preparing test datasets
analyszng response quality
and identifying improvement areas
Contributing to experimentation activities involving LLMs
and other analytical models
Supporting proof-of-concept activities by preparing analytical outputs
Preparing and transforming structured and unstructured data for analytical and experimental usage
and quality of analytical datasets
Assisting in defining data structures
and reporting standards
and quality issues in source data and communicating improvement recommendations
How You'll Work.
Team & Collaboration
Works closely with software engineers, architects, innovation stakeholders, and product-related functions; Support engineering analytics, reporting, experimentation, and data preparation activities with Software Engineers & Technical Leads; Alignment on innovation priorities, reporting needs, and analytical initiatives with Head of Software Engineering & Innovation Department; Support reporting, operational analysis, and proof-of-concept activities where required with Product & Business Stakeholders; Contribute analytical support for experimentation, AI initiatives, and evaluation activities with Architecture & Innovation Stakeholders
Communication Scope
Good communication skills with both technical and non-technical stakeholders
Process & Methodology
Ability to manage multiple analytical activities simultaneously
Full Job Description
**We are looking for Data Analyst to join our team.** Quipu is the dedicated IT company of the ProCredit group and provides comprehensive end-to-end solutions for all ProCredit institutions, as well as for other banks and financial institutions This includes everything from electronic payment services to software systems, hybrid cloud hosting, and a host of other operations. A 100% subsidiary of ProCredit Holding, Quipu was established in March 2004 and is headquartered in Frankfurt am Main, Germany. Quipu plays a central role within the ProCredit group, providing a comprehensive range of support services that enable the banks to become competitive and efficient. **General description of the position** The Data Analyst is responsible for supporting data-driven initiatives within the Software Engineering & Innovation Department by collecting, preparing, analyzing, and visualising data related to software engineering, AI innovation, operational processes, and digital products. The role supports innovation activities through analytical insights, data preparation, evaluation frameworks, reporting, and experimental analysis across AI-driven initiatives, software delivery metrics, and internal knowledge platforms. The Data Analyst works closely with software engineers, architects, innovation stakeholders, and product-related functions to support proof-of-concepts, experimentation, engineering intelligence, and operational decision-making. The role contributes to the improvement of data quality, reporting consistency, AI evaluation practices, and analytical visibility across innovation and software engineering activities. **Main duties and responsibilities** • Collect, process, clean, and structure data from multiple sources including software development platforms, knowledge bases, operational systems, APIs, and analytical datasets. • Build reports, dashboards, and visualizations supporting engineering, innovation, and operational decision-making. • Analyze trends, patter
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