• Gather, analyse and document business requirements for dashboards and analytical use cases • Translate business needs into data models, transformation logic and dashboard designs • Design and implement data transformations across Data Lake layers (RAW → TRUSTED → REFINED) • Develop and maintain data pipelines using PySpark and Python • Ensure data quality, consistency and compliance with data governance standards • Build, test and deploy datasets, analyses and dashboards in AWS QuickSight • Collaborate with Data Stewards, IT teams and business stakeholders • Support UAT, user training and adoption of self-service analytics

• Join a small Business Intelligence team working within Operational Support • Interrogate data in Google Big Query and develop data pipelines for analysis and reporting • Build a portfolio of reports and dashboards using Looker Studio • Ensure business alignment, active adoption and trust in numbers • Curate trusted data models to enable self service analytics • Manage the access and distribution of reports • Adopt best practice data management techniques • Be accountable for servicing information to our operations managers and team leaders

Role Description The Senior Data Analyst will work closely with Data, Technology, and Operational teams to analyze complex healthcare datasets, develop analytical models, and generate actionable insights that inform internal products, client solutions, and strategic decisions. This role plays a key part in shaping how clinical and administrative data are ingested, curated, and leveraged across the organization. The Senior Data Analyst collaborates with engineering, product, and subject matter experts to develop scalable analytics, ensure data quality, and support data-driven decision-making. The ideal candidate combines strong analytical and statistical skills with a deep understanding of healthcare data, regulatory context, and business impact. - Analyze and interpret large-scale healthcare datasets (e.g., claims, EHR, FHIR, registries) to identify trends, outliers, and key performance indicators that inform clinical, operational, and strategic initiatives. - Lead complex analytical efforts to evaluate healthcare performance, utilization patterns, and program outcomes across diverse datasets. - Collaborate with data engineers, product managers, and domain subject matter experts to define data requirements, metrics, and quality controls that support reliable analytics and reporting. - Build and maintain curated datasets, data models, and dashboards for internal and external stakeholders using SQL, Python, or business intelligence tools. - Design and execute advanced analyses for clinical, operational, and policy use cases, including cohort definitions, utilization patterns, quality measurement, and risk stratification. - Develop and document business rules for data standardization, mapping, and transformation to support consistent and scalable analytics. - Support data validation, testing, and quality assurance for data pipelines and analytics-ready datasets, identifying anomalies and supporting root cause analysis. - Translate analytic findings into clear, compelling narratives and data visualizations in Qlik/ AWS Quicksight that support decision-making by technical and non-technical stakeholders. - Monitor key data health and performance metrics and support anomaly detection and ongoing data quality improvements. - Support data strategy and architecture decisions through domain-informed analysis, metric modeling, and collaboration with engineering and product teams. - Mentor junior analysts or cross-functional team members on best practices in data analysis, documentation, and data quality. Qualifications - Bachelor’s degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science, or a related field; Master’s degree preferred. - 7+ years of experience working with healthcare data, including EHR, claims, registries, or public health datasets. - Strong proficiency in SQL and at least one analytics-oriented programming language such as Python or R. - Experience building analytical datasets, dashboards, or reporting frameworks using tools such as Excel, Tableau, Power BI, or QuickSight. - Experience with Databricks, Snowflake, or other modern cloud/notebook-based data platforms. - Familiarity with healthcare data standards such as FHIR, HL7, ICD, CPT, and LOINC, and experience working with healthcare quality or performance measures. - Demonstrated ability to synthesize complex data and present findings to both technical and non-technical audiences. - Strong data validation, data governance, and documentation practices. - Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical teams. - Strong problem-solving skills, attention to detail, and a commitment to continuous learning and improvement. - Experience working in a healthcare or regulated environment. - Experience working in Agile development environments and collaborating within cross-functional product or engineering teams. Requirements - Understanding of data governance and security frameworks relevant to healthcare such as NIST or HITRUST. - Prior experience working with government agencies such as CMS, VA, or DoD, or with payer or provider organizations. - Knowledge of healthcare delivery systems, policy frameworks, and value-based care programs. - Experience designing or supporting dashboards or reports for operational, clinical, or executive audiences. - Master’s degree or professional certifications in Data Analytics, Health Informatics, or a related field. Work Environment/Physical Demands The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - This is an office/remote position. - While performing the duties of this job, the employee regularly works in a climate-controlled environment. - Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. - Occasionally required to stand, walk, use hands and fingers, kneel or crouch.

Job Description Junior Compliance Data Analyst / Static Data Administrator CSC Luxembourg Full Time (40h/week), Hybrid Role Purpose The Junior Compliance Data Analyst / Static Data Administrator supports the Compliance function by ensuring the accuracy, consistency and integrity of key operational and regulatory data across Business, Finance, shared services and Compliance systems. The role focuses on static data management, reconciliation of datasets, preparation of compliance reporting, and first-level data analysis to support AML/CFT, onboarding, monitoring and governance processes. This position is designed for a junior profile with strong attention to detail and a genuine interest in data quality, controls and regulatory environments. Key Responsibilities Data Quality & Static Data Management - Maintain and reconcile static client and investor data across multiple internal systems (Business, Finance, Compliance). - Identify inconsistencies, gaps or anomalies in datasets and proactively investigate root causes. - Perform regular cross-checks between onboarding data, financial records and compliance databases. - Ensure accuracy of key reference data used for regulatory reporting. Compliance Data Analysis & Reporting - Prepare and validate datasets for Compliance reporting (AML/CFT metrics, onboarding KPIs, training completion, CMP inputs, etc.). - Support Compliance with ad-hoc data requests from internal stakeholders and regulators. - Produce structured Excel reports and dashboards. - Assist in trend analysis and identification of operational risks linked to data quality. Operational Support - Act as a bridge between Compliance, Finance and Business teams to align data sources. - Support internal working groups aimed at improving data governance and reporting consistency. - Document data flows and reconciliation logic. - Contribute to continuous improvement of controls around data accuracy. Required Skills & Profile Technical - Strong Excel skills (VLOOKUP/XLOOKUP, pivot tables, basic formulas). - Comfortable working with large datasets. - Basic understanding of data reconciliation concepts. - Interest in data analysis and governance. Personal - High attention to detail. - Structured and methodical mindset. - Curious and proactive. - Comfortable asking questions and challenging inconsistencies. - Able to work under volume pressure without compromising quality. Education / Experience - Bachelor's degree in Finance, Business, Data, Economics or related field. - 0-2 years experience (junior profile welcome). - First exposure to Compliance, AML/KYC, Operations or Finance is a plus. Nice to Have - Basic AML/KYC understanding. - Experience with static data. - Exposure to regulatory environments. - Power BI / basic SQL (optional). Why This Role Matters This role is critical in ensuring that Compliance decisions are based on accurate and reliable data. You will directly contribute to regulatory readiness, AML/CFT effectiveness, and operational resilience. About Us At CSC®, we're always looking ahead, finding ways to improve and anticipate the future needs of our customers. Curiosity fuels our innovation and productivity drives our results. This proactive mindset has helped us adapt and create solutions that have enabled businesses to run smoother and smarter for more than 120 years. CSC is committed to attracting, developing, and retaining talented people whose personal values align with ours. We empower our employees to bring the right solutions to market to meet customer demand. That is why we are the premier provider of global solutions for more than 180,000 businesses. - CSC is a great place to work with smart and dedicated people. - We have been voted a Top Workplace every year since 2006. - We offer challenging work and career opportunities. Most positions are filled with internal moves and employee referrals. - Employees are eligible for success sharing, bonus, or commission plans based on role and individual performance. - CSC offers a competitive and comprehensive benefits package as part of your Total Rewards that includes annual leave, tuition reimbursement, employee referral bonuses, and more. When applying for this role, please note that additional background checks may be carried out and an original of your criminal record (n*3) may be requested as evidence of integrity justified with regard to the specific needs of the position to be filled. About the Team At CSC®, we're always looking ahead, finding ways to innovate, challenge the status quo, and anticipate the needs of our clients. We exceed expectations by adapting client ambitions and goals as our own. This Fierce Client Spirit has helped us adapt and create solutions that have enabled businesses to run smoother and smarter for more than 125 years. It's also the reason we're the trusted partner of many of the world's most successful organizations. CSC is committed to attracting, developing, and retaining talented people whose values align with ours. We empower our colleagues to bring the right solutions to market to meet client demand. That's why we are the leading provider of business administration and compliance solutions. - CSC is a great place to work with smart and dedicated people. - We have won several employer recognition awards, including Top Workplace USA, Great Places to Work India, and Built In's Best Places to Work. - We offer fulfilling work and career opportunities. Most positions are filled with internal moves and employee referrals. - Employees are eligible for Success Sharing, bonuses, or commission plans based on role and individual performance. - CSC offers a competitive and comprehensive benefits package that includes annual leave, tuition reimbursement, referral bonuses, and more. - As business needs allow, CSC offers hybrid or remote work schedules in alignment with local regulations. Specific details for this position will be discussed during the interview process.