Data Analyst - Procurement

Too Good To Go

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. 40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste.  We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste. WE’RE GROWING FAST: OUR COMMUNITY OF 133 MILLION REGISTERED USERS AND 261,000 ACTIVE PARTNERS ACROSS 21 COUNTRIES, HAVE TOGETHER ALREADY PREVENTED 517+ MILLION MEALS FROM GOING TO WASTE - AVOIDING OVER 1.397.000 TONNES OF CO2E! At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together. 40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste.  We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste. WE’RE GROWING FAST: OUR COMMUNITY OF 133 MILLION REGISTERED USERS AND 261,000 ACTIVE PARTNERS ACROSS 21 COUNTRIES, HAVE TOGETHER ALREADY PREVENTED 517+ MILLION MEALS FROM GOING TO WASTE - AVOIDING OVER 1.397.000 TONNES OF CO2E! YOUR ROLE Our organization already features a dedicated, highly skilled Infor M3 Technical Administrator who manages core backend infrastructure, integration layers (MEC/ION), custom extensions, database health, and system security. This infrastructure support allows the new Functional Finance Consultant to focus fully on application utilization, operational value, and cross-departmental alignment. The primary purpose of this role is to translate complex business and accounting requirements into concrete functional configurations within Infor M3. You will operate as an internal advisor, helping our financial team make informed, strategic process decisions while ensuring the tech department has clear direction for systems alignment. KEY RESPONSIBILITIES 1. FINANCIAL PROCESS ALIGNMENT & DECISION SUPPORT * Act as the primary interface and functional translator between the corporate Finance team and the Product and Tech departments. * Collaborate closely with the Product Owner, Project Manager, and external consultants to analyze existing financial processes and identify system optimization opportunities in M3. * Provide functional expertise to guide key decision-making processes regarding how new business models, geographical rollouts, or operational changes impact financial reporting and system parameters. 2. FUNCTIONAL CONFIGURATION & APPLICATION MANAGEMENT * Execute hands-on functional configurations within the Infor M3 Finance module (e.g., configuring accounting rules, parameter matrices, financial layouts, and user-specific views) based on aligned business processes. * Manage the functional setup and continuous refinement of financial ledgers, accounts payable, accounts receivable, asset management, and cost accounting matrices. * Define functional specifications for reporting and analytics, collaborating with internal technical resources and external consultancy partners to deploy robust financial dashboards and compliance reporting. 3. CROSS-MODULE INTEGRATION & END-TO-END WORKFLOW OPTIMIZATION * Maintain a comprehensive, high-level understanding of how adjacent modules (such as Purchasing/Procurement, Warehousing, and Supply Chain) flow into the Finance module. * Ensure that operational processes across the wider supply chain accurately trigger proper financial entries and post smoothly to the general ledger without system discrepancies. * Identify, evaluate, and troubleshoot bottlenecks or points of failure where operational workflows do not properly align with downstream financial reporting requirements. 4. POWER USER SUPPORT & CHANGE MANAGEMENT * Deliver advanced functional support and advice to finance power users, assisting with complex reconciliation issues, error resolution, or month-end and year-end closing challenges. * Author detailed functional documentation, process maps, and standard operating training guides to prepare the finance team for system upgrades or process shifts. QUALIFICATIONS & EXPERIENCE PROFESSIONAL BACKGROUND * Significant experience working as a Functional Consultant, Business Systems Analyst, or an advanced Power User focused heavily on enterprise ERP optimizations. * Demonstrated history of working closely with corporate accounting, corporate controllers, FP&A, or general finance teams to translate financial requirements into enterprise-scale solutions. * Proven track record of collaborating effectively with third-party vendors and external consultants to drive successful ERP initiatives. FUNCTIONAL & ERP EXPERTISE * Infor M3 Focus: Strong functional proficiency in the Infor M3 environment, specifically within the Finance core modules. * Configuration Capability: Clear, hands-on ability to perform functional system changes, configure business logic, alter parameters, and adjust financial matrices within M3 without needing backend code development. * Financial Literacy: Strong understanding of corporate finance and core accounting workflows (e.g., General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cost Accounting, and multi-entity consolidation). * Cross-Module Awareness: General working knowledge of adjacent modules (Procurement, Order Management, Inventory, and Warehousing) and how their data models flow downstream into financial reporting. SOFT SKILLS & COLLABORATIVE COMPETENCIES * The "Bridge" Mindset: Strong interpersonal and translation skills; ability to easily communicate technical concepts to finance experts and complex financial principles to engineering staff. * Team Integration: Highly collaborative nature with a comfortable presence working inside an agile tech environment alongside Product Owners, Project Managers, Engineers, and external implementation partners. Problem Solving: Excellent analytical skills with a focus on holistic business process designs and functional data integrity. Our Values * We Win Together * We Raise the Bar * We Keep It Simple * We Build A Legacy * We Care What We Have To Offer * A rare opportunity to work in a social impact company (and certified B Corporation!) where you get to wake up every day knowing you’re achieving positive change. * The experience of being part of an international company with 1300+ enthusiastic and highly talented teammates across 21 countries – always ready to share knowledge and support! * Strong personal as well as professional development in an intense and high-growth scale-up environment. * An open company culture where you have the independence and room to unleash your creativity. * A strong team culture where successes are celebrated together. How To Apply We take recruitment very seriously, so please carefully read everything we have written above. Please also check our website and international media in order to get a good overview of Too Good To Go. Submit your CV and/or Cover letter in English. Job Ref: #LI-CT1 A Movement for Everyone We want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us belong. We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us know.

The Dot Collective

ABOUT THE DOT COLLECTIVE We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact.  We work with all modern tech stacks and typically run agile scrum on all our projects. ABOUT YOU Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities:  * Gathering and documenting business and project requirements  * Managing stakeholders of differing levels  * Analysing and profiling large and complex datasets  * Managing a team backlog using tools like Jira or Azure DevOps  * Agile ways of working  * Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems  * Creating conceptual, logical and physical data models   * Creating mapping specifications for data migrations  * Coordinating User Acceptance Testing (UAT) with business stakeholders  * Excellent SQL skills  * Knowledge of python (pandas)  * Experience with Cloud platforms  * Creating data dashboards using Tableau, PowerBI or Qlik and story telling  We expect you to work closely with business to understand their current data problems, pain points and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team.  OUR PROMISE TO YOU We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of experience and expertise to deliver the best outcomes for our clients — and teams you’ll enjoy working with. We are committed to prioritising the wellbeing of our employees. To fulfill this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture. We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burn-out. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.

Winton

ABOUT WINTON Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. ----------------------------------------------------------------------------------------------------------------------------------   Winton leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems. As a Data Analyst within our Quantitative Platform team, you will own the quality, consistency, and discoverability of datasets as they move from onboarding into production. You will uphold our data standards and catalogue, so datasets are easy to find, trust, and use. Your work spans vendor-sourced financial data, time series across instruments and asset classes, and complex, multi-table products where correct mapping and definitions matter as much as raw data accuracy. Your responsibilities will include: * Defining and executing rigorous acceptance criteria for new and evolving data products. From sample evaluation through to production, including coverage analysis, staleness and gap detection, and reconciliation against trusted references where available. * Acting as a subject-matter expert on our data products, helping Strategy Managers with vendor formats, data anomalies, corporate actions semantics, identifiers, and documentation gaps; escalate and track issues with vendors and internal stakeholders until resolved.  * Building and maintaining an automated catalogue of datasets (descriptions, owners, refresh cadence, SLAs, source systems, schemas, known limitations). Keeping the catalogue aligned with reality when pipelines change so consumers rely on current metadata. * Systematically probe new and existing datasets to ensure they meet our high data quality standards. Stress-test point-in-time, versioning and revision semantics; chase down corrections, duplicates, staleness, and discontinuities with source vendors. * Contributing to data quality frameworks, onboarding checklists, and documentation (data dictionaries, lineage notes, known limitations) so quality expectations are repeatable and auditable. * Partnering with Data Engineers on handoff contracts (schemas, SLA expectations, alerting thresholds), with Quant Researchers on analytic sanity checks, and with operations on repeatable triage when anomalies appear in production datasets. What we are looking for: * 3+ years’ experience working with financial data vendors and their products. * Strong grasp of cross-asset class time series data and what common or nuanced issues can arise when onboarding new datasets. * Comfort with complex, multi-entity datasets (join keys, slow-changing dimensions, snapshots vs history) and a methodical approach to debugging inconsistencies. * Hands-on analytical experience using Python, and the ability to summarize findings clearly for both technical and non-technical audiences. * Meticulous attention to detail and a bias toward evidence-based conclusions. * Excellent communication and collaboration skills, and the ability to work in a team in a fast-moving, data-centric environment. What would be advantageous: * Direct experience with reference and hierarchical data (security masters, classification trees, entity relationships) and cross-vendor alignment. * Familiarity with market, fundamental, or alternative datasets used in systematic or quantitative investment workflows. * Exposure to data quality tooling or statistical monitoring (distributions, drift, anomaly detection) applied to production or near-production feeds.  * Experience building ETL/ELT pipelines using Python. * Practical experience using LLMs to accelerate complex data investigations.   ---------------------------------------------------------------------------------------------------------------------------------- EQUAL OPPORTUNITY WORKPLACE We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.