Provide specialised technical support for DTM information management and geographic information systems (GIS) activities, including data processing and validation, management of databases and geospatial datasets, spatial analysis, development of dashboards and information products, and technical support to displacement monitoring, EET, rapid assessments, and reporting.
Responsibilities
Provide specialised support for DTM data processing, validation and reporting, utilising relevant statistical software to facilitate timely processing and production of quality data outputs.
Maintain DTM databases, geodatabases, reference datasets and information management systems, including appropriate documentation, version control and data organization, in accordance with applicable data protection and information management standards.
Produce spatial analyses and GIS products using relevant GIS software, and manage and maintain geospatial datasets, including administrative boundaries, settlement layers, infrastructure datasets and other geographic information required for DTM assessments, operations and reporting.
Provide technical support to field teams on digital data collection platforms, GIS-related tools and information management processes to promote consistency and quality in data collection, management and reporting.
Identify areas for improvement in DTM data collection and information management processes and propose technical solutions to improve data quality, efficiency and contextualisation of DTM field activities.
A senior analytics and insight leader motivated by helping unlock opportunity via an increased understanding the role earned plays in affecting outcomes and how by identifying the most compelling audience insights, you are able to harness this potential.
Responsibilities
Lead the development of measurement strategies and performance frameworks across campaigns, always-on programmes and global client relationships
Design sophisticated measurement models that connect communications activity with meaningful audience, brand and business outcomes
Work hands-on across platforms including Talkwalker, Meltwater, Semrush, Profound, Claude, Power BI and other emerging social listening, search, AI and analytics tools
Build and oversee dashboards and reporting systems that bring together data from multiple sources and markets in a clear, current and genuinely useful way
Conduct analysis directly, while drawing on the wider team for specialist data science, technical builds and more complex analytical work
Lead Trade & Shopper Marketing for South Europe markets, shaping and deploying shopper experience strategies across France, Italy, Spain and Portugal.
Compensation
The expected starting compensation range for this position is 54,500 EUR annually (gross).
Responsibilities
Define the shopper strategy for Electro, specialist retailers, department stores, independent retailers and other relevant premium formats across South Europe.
Build shopper journeys and path-to-purchase approaches that accelerate conversion.
Develop activation programmes tailored to customers, channels and local market needs.
Translate brand and category priorities into simple, visible and actionable shopper plans.
Lead execution across every shopper touchpoint, including visibility, POS, product demonstration, promotions, innovations and key commercial moments.
Requirements
Master’s degree in Business, Marketing or equivalent
Create and provide access to high quality and reliable data solutions, delivering and developing best practice data solutions and pipelines in a DevOps model.
Responsibilities
Actively contribute to the evaluation of complex business information to define the business problem and create and implement best practice solutions
Collaborate closely with Senior Data Engineers and Architects to contribute to the development and construction of data design ideas that deliver data optimisation and meet business requirements
Install (wrangling/ingestion and curation processes), test and maintain data systems using a combination of data sources, analytical techniques and insight generation
Source, probe and analyse data sets acquired from varying sources using a range of programming languages, tools and techniques to enable data to be ingested and curated, in preparation for loading and application of the sourced data
Uncover and investigate data quality issues forensically and methodically within a highly complex data landscape and help identify ways to improve data reliability, efficiency and quality
Supports global Business Development and Marketing (BDM) function by providing actionable client, sector, market and competitor intelligence to inform client engagement and strategic decision-making.
Responsibilities
Produce high-quality client, sector, market, transaction and competitor intelligence to support client engagement and business development initiatives.
Synthesise complex research and data to produce reports, presentations and dashboards that deliver clear commercial insights and actionable recommendations.
Monitor priority clients, sectors and competitors, maintain recurring intelligence products and highlight material developments and emerging opportunities to relevant stakeholders.
Demonstrate detailed knowledge of relevant information sources, databases and data providers, selecting and leveraging the most appropriate resources to meet specific research needs.
Maintain high standards of data quality, analytical rigour and accuracy.
Requirements
Bachelor’s degree in business, economics, quantitative methods or similar
Master’s degree in business, economics, quantitative methods or similar
Nice to have: Financial services experience
Nice to have: International environment experience
Lead financial crime analysis for the LAM region, producing intelligence on money laundering, terrorist financing, fraud, bribery, corruption, sanctions and emerging risks.
Responsibilities
Develop timely intelligence and analysis to identify, understand and enable remediation of financial crime threats
Design, develop and maintain data analysis queries, models and analytical approaches
Build and maintain an analyst production plan translating stakeholder priorities into clear analytical objectives