HR DATA ANALYST

médecins sans frontières suisse Do your qualifications and experience not exactly match all requirements of the job? At MSF OCG, we are committed to an inclusive culture that supports and amplifies the diverse voices of our staff members. We strive to create workplaces where teams of people with diverse backgrounds, characteristics, perspectives, ideas and experiences work together to advance MSF's social mission and create better outcomes for our patients and the communities we work with. We understand that some people may hesitate to apply for employment if they don't meet all listed job requirements. Research shows that this is especially true for women. If you believe your profile is a good match for this position, we invite you to apply even if you don't fulfil every listed qualification. We encourage applications from individuals of all genders, ages, sexual orientations, ethnicities, background, religions, beliefs, ability status, and all other diversity characteristics. MSF does not tolerate sexual exploitation and abuse, any kind of discrimination or harassment, including sexual harassment. All selected candidates will undergo reference checks. Would you like to join a multicultural and cross-functional team to solve exciting data challenges, and make a real impact with MSF teams on the field? If the answer is yes, apply now to meet Deborah, Mohammed, Patrice, Francois and cie and learn more about this great opportunity! Context & Mission Médecins Sans Frontières is an independent, international medical and humanitarian organization that provides care to people in need, people affected by natural or man-made disasters, and victims of armed conflict, without discrimination and without regard to race, religion, creed or political affiliation (MSF Charter). The MSF movement is built around 5 operational centers supported by 24 sections and offices worldwide. MSF Operational Center Geneva (MSF OCG) is one of these centers. MSF OCG employs approximately 450 HQ staff located primarily in Geneva with teams in Zurich, Dakar and Amman and another 6,000 internationally mobile staff located in 30 countries worldwide working across 110 of our humanitarian projects. MSF, including OCG, has grown significantly over the last 10 years and until now the HR department has managed that expansion with ad-hoc tools and methods. To better support the ongoing demands and better serve our global workforce, OCG has launched a transformative HR initiative with one critical pillar being the introduction of an HR Information System (HRIS). Joining a dynamic team of HR professionals, the IT Data Analyst will analyse the as-is and define the to-be data structure and flow required to support the data migration activities and implementation of HRIS integration. They will produce deliverables based on guideline and methodology provided by Data by the Data architect. The incumbent will collaborate with IT Business Analysts, Functional Referrents, HR SMEs, Data Migration specialists and Integration team to produce relevant artefacts and deliver a robust data migration process and the integration between HRIS component and peripheral systems. The HR Data Analyst will report to the Data Lead and IT Project Manager. At MSF you will be part of a diverse and inclusive team dedicated to making a meaningful impact in the world. You will have the opportunity to work on exciting projects, collaborate with passionate colleagues, and contribute to positive change on a global scale . Responsibilities As the HR Data Analyst, your role is pivotal in optimizing our human resources data infrastructure to support the delivery of end-to-end HRIS solutions encompassing the deployment of a new HR solution (Workday) loaded with HR data (current and historical), inbound and outbound integrations. You will: Collaborate with cross-functional teams to understand and document data requirements and priorities Contribution to the production of data quality standards in our HRIS, ensuring accurate reporting and compliance Define the integration flow of data across the relevant systems to ensure data consistency and accuracy Cultivate collaborative relationships with IT business analysts, application managers and functional referrents to align data with business processes Identify data requirements and workflows for an effective HRIS implementation Design our HR data flows, data mapping and conversion rules for the data migration Extract source data, develop conversion scripts, reconciliation scripts and continuously improve them through-out the end-to-end delivery lifecycle Analyse data quality for in the context of data migration and system integration, recognise patterns and make recommendations to the team Work closely with the Data Protection Officer to ensure compliance with regulations Control the quality of the data team's deliverables (e.g. peer review) and test the data outputs generated by data migration scripts and system integrations tools Support and participate to the program's testing activities Submit deliverables for review and feedback by the Data Architect. Incorporate feedback Your Profile Experience Proven track record in data modelling and analysis, ideally with HR and in an international environment Experience in data migration, integration and reporting Experience in development of data migration scripts (extraction, conversion, reconciliation, cleansing) Has contributed to an end-to-end vision for the data integrity across various applications across a given landscape (ideally HR data integrated with Active Directory, payroll, and other consumers of HR data) Experience with HRIS platforms HR analytics tools Datawarehousing ETL Processes Data modelling and development tools Languages English and French are the working languages of MSF Switzerland. Fluency in both English and French is required for this position (oral and written). Skills/ Technical competencies Excellent proficiency in data analysis, data modeling, and using these skills to influence process definition. Proficiency with data management tools, with the ability to implement them effectively in a low data maturity context. Ability to work within cross-functional teams on strategic projects, bringing a data-focused perspective: data catalog, data cleansing, data migration. Strong communication skills and active collaboration to design the desired data flow and structure. Ability to collaborate with IT, HR, legal, and compliance teams to ensure data security. Previous experience as a data analyst is required, with experience in HR projects being a plus Familiar with requirements and knownledge management tools such as Jira, Microsoft Sharepoint, Visio Personal Abilities/Qualities Analytical and organized Pragmatic Positive, good communicator Collaborative and a team player Great documentation skills Ability to link functional requirements with data Terms of Employment Vacancy for 2 positions Full-time position 100% (40h/week) Fixed-term contract, 18 months Working place: Geneva, Switzerland Ideal start date: January 6th, 2025 Gross annual salary (for 100%): from CHF 93'504.- to CHF 107'280.- (salary commensurate with equivalent experience and internal salary grid) Paid vacation: 25 days per year, prorate temporis, plus any Swiss public holidays falling within the contract period. Pension plan: pension contribution covered 3/4 by MSF, 1/4 by staff member. Relocation package if moving from a different country to Switzerland. How to apply Candidates submit their application following the requirements: CV 2 p. max. – letter of motivation 1p. max. – in French or English. Deadline for application is November 3rd, 2024. We reserve the right to close the position early if we consider the number and quality of applications received to be sufficient. APPLY HERE The applications will be treated confidentially. Only short-listed candidates will be contacted. Only applications submitted on our recruitment platforms will be considered. Please note that we do not wish to use the services of recruitment or placement agencies. Branche: Community/Sozialer Dienst/Non-Profit Funktion: Anderes Stellenprozent: 80-100% / 100% Anstellungsart: Staff (Permanent and Fixed Term)