data analyst

senior data engineer

business analyst

data engineer

data scientist

senior data analyst

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
 </li>
 <li>
 Designing of queries, compiling of data, and generation of reports in SQL
 </li>
 <li>
 Charting and graphing of data for reporting purposes
 </li>
 <li>
 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
 </li>
 <li>
 Develop automation solution for analysis (python)
 </li>
 <li>
 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
 </li>
 <li>
 Supporting leadership team how to interpret data trends as needed
 </li>
 <li>
 In depth research of defect trends
 </li>
 <li>
 Present analysis in easily digestible standard reports
 </li>
 <li>
 Support to ICQA &amp; Learning Team Projects
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Experience communicating clearly and effectively with different functional groups including senior business leaders, finance, HR and developers
 </li>
 <li>
 Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations
 </li>
 <li>
 Experience translating customer needs into business requirements
 </li>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3176702
</div>

Data Analyst, AMET Central Data Analytics team

NielsenIQ

<div>
 
 As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics, and demography. These professionals drive innovation, new product ideation, develop complex analysis, and deliver data insights to measure what consumers buy.
 
 
 
 
 This role sits within a
 
 high‑expectation, high‑visibility environment
 
 , where
 
 strong statistical rigor, senior Data Science ownership, and confident client interaction
 
 are critical to success.
 
 
 
 
 
 
 Job Description
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 
 Own Data Science end‑to‑end
 
 for a specific market or industry across
 
 new and established products
 
 , including analytical design, methodology decisions, and solution validation
 </li>
 <li>
 Act as a
 
 senior Data Science business partner
 
 to Managing Directors, Commercial, Product, and Technology leaders, supporting
 
 country‑level revenue, EBITDA, and strategic objectives
 
 </li>
 <li>
 
 Engage directly with external clients in high‑pressure situations
 
 , translating complex and often ambiguous business problems into
 
 robust analytical strategies
 
 , and confidently defending statistical approaches and outcomes
 </li>
 <li>
 Support Client and Commercial teams with
 
 advanced Data Science and methodological guidance
 
 (this role goes beyond basic statistical support)
 </li>
 <li>
 Play a
 
 leading role in the application of data and analytics strategies
 
 , ensuring solutions are analytically sound, scalable, and business‑relevant
 </li>
 <li>
 
 Innovate and design out‑of‑the‑box solutions
 
 by leveraging large, complex datasets and state‑of‑the‑art statistical and Data Science methodologies
 </li>
 <li>
 Collaborate closely with in‑house Data Science teams,
 
 raising analytical standards
 
 , guiding problem‑solving approaches, and aligning on priorities
 </li>
 <li>
 Enable Data Science technology solutions on the ground and ensure outputs
 
 meet both client expectations and internal quality standards
 
 </li>
 <li>
 Work closely with Product Enhancement, Product, and Technology teams to
 
 bring analytical solutions to market
 
 , from concept through deployment
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Degree in
 
 Mathematics, Statistics, Data Science
 
 , or a related quantitative field involving
 
 deep statistical analysis of large datasets
 
 </li>
 <li>
 
 5+ years of hands‑on experience
 
 in market research, consumer analytics, or a relevant Data Science field (strong preference for candidates operating beyond junior or execution‑only roles)
 </li>
 <li>
 Demonstrated ability to
 
 independently own complex analytical problems
 
 , including methodology selection, statistical reasoning, and interpretation
 </li>
 <li>
 Solid understanding of the
 
 CPG/FMCG industry
 
 and
 
 retail market dynamics
 
 , and how analytics drives measurable client impact
 </li>
 <li>
 Proven experience working in
 
 client‑facing, high‑pressure environments
 
 , handling challenging questions, escalations, and tight timelines
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Passionate about innovation and Data Science technology, with
 
 strong statistical depth
 
 rather than surface‑level knowledge
 </li>
 <li>
 Experienced in
 
 proactive stakeholder and client engagement
 
 , confidently linking advanced analytics to business outcomes
 </li>
 <li>
 Innovative mindset with the ability to
 
 design solutions
 
 , not just execute predefined analyses
 </li>
 <li>
 Strong ability to
 
 explain complex statistical concepts clearly to non‑experts
 
 , including senior clients
 </li>
 <li>
 Excellent problem‑solving, deductive reasoning, and analytical thinking skills
 </li>
 <li>
 Strong collaboration and communication skills across Data Science, Commercial, Product, and Technology teams
 </li>
 <li>
 Ability to
 
 prioritize, make decisions, and manage multiple assignments
 
 in a fast‑paced, high‑pressure environment
 </li>
 <li>
 Demonstrated leadership maturity, ownership mindset, and accountability
 </li>
 <li>
 Strong business acumen, consultative skills, and empathy for client needs
 </li>
 <li>
 Excellent written and spoken
 
 English
 
 </li>
 <li>
 Eager to continuously learn and adapt to evolving methodologies, technologies, and tools
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 Our Benefits
 
 
 
 
 <ul>
 <li>
 Flexible working environment
 </li>
 <li>
 Volunteer time off
 </li>
 <li>
 LinkedIn Learning
 </li>
 <li>
 Employee-Assistance-Program (EAP)
 </li>
 </ul>
 
 NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.
 
 
 
 
 
 
 About NIQ
 
 
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 
 
 For more information, visit NIQ.com
 
 
 
 
 Want to keep up with our latest updates?
 
 
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
 
 
 
</div>

Senior Data Scientist  (Statistics)

Senior Data Science Business Partner  (Statistics)

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 
 
 
 
 
 We are looking for a
 
 Senior Data Scientist
 
 who combines strong hands-on expertise with the ability to lead and scale analytics solutions in a complex, multi-market environment. In this role, you will take ownership of delivering advanced analytics solutions, generating actionable insights and driving tangible business impact, with a strong focus in the route-to-market and commercial effectiveness areas. You will work closely with business stakeholders, translating ambiguous problems into scalable data products deployed across 29 markets. Beyond individual contribution, you will play a key role in shaping our data science practices and, over time, lead and mentor a small team of data scientists, ensuring high standards in both technical delivery and business impact. This is a high-impact role suited for someone who can independently drive complex problems end-to-end and balance deep technical execution with evolving leadership responsibilities.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collaborate extensively with business stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Own the end-to-end delivery of advanced analytics and machine learning solutions, from problem framing to production deployment and continuous improvement, working within Agile/SAFe ways of working.
 </li>
 <li>
 Develop and implement machine learning and statistical models to extract insights, predict trends, and provide actionable recommendations.
 </li>
 <li>
 Analyze large and complex datasets to identify opportunities to enhance existing solutions and develop new ones.
 </li>
 <li>
 Lead the development of proof-of-concept solutions and ensure their scalability across multiple markets.
 </li>
 <li>
 Work closely with cross-functional teams, including data engineers and business experts, to ensure robust, scalable, and production-ready solutions.
 </li>
 <li>
 Proactively identify opportunities to improve existing solutions and propose new data-driven initiatives that deliver measurable business value.
 </li>
 <li>
 Contribute to building and scaling a high-performing data science team, acting as a technical reference point, driving best practices, and supporting the development of other data scientists.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 5+ years of hands-on experience in data science or advanced analytics roles, with a strong track record of delivering production-grade solutions
 </li>
 <li>
 Strong proficiency in Python and PySpark, with the ability robust, well-structured, and efficient code that balances readability and performance
 </li>
 <li>
 Solid understanding of machine learning, statistical modeling, and experimentation, with the ability to apply the right approach to real-world business problems
 </li>
 <li>
 Experience working with large-scale datasets and distributed data processing, as well as cloud-based data platforms (preferably Azure &amp; Databricks)
 </li>
 <li>
 Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
 </li>
 <li>
 Demonstrated ability to build scalable solutions that go beyond one-off analyses or prototypes
 </li>
 <li>
 Strong problem-solving skills, with the ability to identify opportunities to enhance existing solutions and propose new data-driven strategies
 </li>
 <li>
 Ability to manage multiple projects simultaneously, prioritize effectively, and collaborate effectively with other team members and external vendors
 </li>
 <li>
 Ability to balance hands-on technical work with leadership responsibilities, with experience in leading and guiding other data scientists
 </li>
 <li>
 Excellent collaboration, communication and presentation skills, with the ability effectively interact and influence stakeholders, translating technical concepts into analytical approaches and business impact
 </li>
 <li>
 Experience in CPG, retail, or commercial analytics (e.g. route-to-market, assortment) is a strong advantage
 </li>
 <li>
 BSc or MSc, in Computer Science, Data Science, Statistics, Engineering or a related quantitative field
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Senior Data Scientist

iQor

<div>
 
 
 Summary:
 
 
 
 The Business Intelligence Analyst I plays a foundational role in supporting data-driven decision-making across the organization. This entry-level position is responsible for collecting, analyzing, and visualizing data to uncover trends, monitor performance, and support strategic initiatives. Working closely with senior analysts and business stakeholders, the Analyst contributes to the development of reports, dashboards, and insights that enhance operational efficiency and business outcomes.
 
 
 
 
 
 
 Critical Job Expectations:
 
 
 
 As a member of the Business Intelligence (BI) Team, the Business Intelligence Analyst I is expected to deliver accurate and timely data that informs business decisions. This includes assisting in the development of dashboards, validating data sources, and supporting ad hoc analysis requests. The Analyst must demonstrate accountability by meeting deadlines and maintaining data integrity, while also showing innovation by identifying opportunities to improve reporting processes. Integrity is essential in handling sensitive information and ensuring ethical standards are upheld. The role requires effective communication, collaboration with cross-functional teams, and a commitment to continuous learning and professional growth.
 
 
 
 
 
 
 Duties and Responsibilities:
 
 
 
 Functional
 
 <ul>
 <li>
 Designs and maintains recurring and ad-hoc reports using tools such as Power BI or Excel aligning it with telco business goals and metrics.
 </li>
 <li>
 Extracts, transforms and loads data from defined sources using standard queries and reporting tools while ensuring the accuracy of data to reflect timely and current business information.
 </li>
 <li>
 Collaborates with internal and external stakeholders to identify business intelligence, reporting, and data analysis needs, while fulfilling ad-hoc data requests and proactively developing solutions to reduce recurring inquiries.
 </li>
 <li>
 Reviews and validates report outputs to ensure accuracy, consistency, and completeness; delivers reports in line with defined timelines.
 </li>
 <li>
 Maintains and optimizes data pipelines to support scalable and efficient reporting processes and provides data summaries and visualizations to support stakeholder discussions.
 </li>
 <li>
 Develops and maintains documentation for report logic, data sources, and business definitions.
 </li>
 <li>
 Participates in project milestones focused on data-related tasks such as data mapping and dataset creation.
 </li>
 <li>
 Demonstrates proficiency in Microsoft Excel knowledge and demonstrates basic familiarity with Power BI, SQL, and other analytical tools, sufficient for performing fundamental data extraction and manipulation tasks.
 </li>
 <li>
 Maintains and supports database management platforms, including SharePoint lists, Excel, and SQL Server.
 </li>
 <li>
 Identifies issues in existing reports or reporting processes and recommends basic improvements to enhance accuracy or usability.
 </li>
 <li>
 Conducts regular audits of identity and access data to ensure accuracy and integrity and enforces compliance with internal data standards and governance policies.
 </li>
 <li>
 Prepares basic PowerPoint presentations to support stakeholder needs, applying standard formatting and incorporating charts or visuals to communicate data findings.
 </li>
 </ul>
 
 
 
 
 Organizational
 
 <ul>
 <li>
 Collaborate effectively with Strategic Data &amp; Information Technology teams to support on-going projects and enhance the functionality of database systems.
 </li>
 <li>
 Obtain and analyze both quantitative and qualitative data from business processes to inform, determine, and promote data-driven decisions.
 </li>
 <li>
 Performs other duties and responsibilities as required to support team and organizational objectives.
 </li>
 </ul>
 
 
 
 
 Knowledge, Skills and Abilities:
 
 <ul>
 <li>
 Basic understanding of telecommunications business metrics (e.g., NPS, FCR, AHT/CRT and other network KPIs).
 </li>
 <li>
 Familiarity with data structures, reporting workflows, and BI lifecycle.
 </li>
 <li>
 Awareness of data governance principles, including privacy, compliance, and access control.
 </li>
 <li>
 Knowledge of standard reporting tools and platforms (e.g., Power BI, Excel, SQL).
 </li>
 <li>
 Ability to create and maintain reports and dashboards using Power BI and Excel.
 </li>
 <li>
 Skills in extracting, cleaning, and transforming data from various sources.
 </li>
 <li>
 Capability to interpret data trends, variances, and provide descriptive summaries.
 </li>
 <li>
 Able to work effectively with large data repositories and/or relational databases.
 </li>
 <li>
 Ability to quickly adapt to changes in both technology and business environments.
 </li>
 <li>
 Clear and concise presentation of data findings to non-technical stakeholders.
 </li>
 <li>
 Ability to maintain report logic and source documentation for traceability.
 </li>
 <li>
 Work collaboratively with cross-functional teams and respond effectively to stakeholder requests.
 </li>
 <li>
 Highly self-motivated and directed with keen attention to detail.
 </li>
 </ul>
 
 
 
 
 Special Requiements:
 
 <ul>
 <li>
 Exceptional time management skills to ensure all critical, regular, and ad-hoc reports and data sources are communicated accurately and on time.
 </li>
 <li>
 Strong interpersonal and communication skills, and the ability to work effectively with a wide range of individuals and groups in a diverse community.
 </li>
 </ul>
</div>

Business Analyst

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build a centralized data lake on GCP Data services by integrating diverse data sources throughout the enterprise
 </li>
 <li>
 Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components
 </li>
 <li>
 Design and implement data validation and quality checks to ensure data's accuracy, completeness, and consistency as it flows through the pipelines
 </li>
 <li>
 Work with the Data Science and Machine Learning teams to engage in advanced analytics
 </li>
 <li>
 Collaborate with cross-functional teams, including data analysts, business users, operational and marketing teams, to extract insights and value from data
 </li>
 <li>
 Collaborate with the product team to design, implement, and maintain the data models for analytical use cases
 </li>
 <li>
 Design, develop, and upkeep data dashboards for various teams using Looker Studio
 </li>
 <li>
 Engage in technology explorations, research and development, POC&rsquo;s and conduct deep investigations and troubleshooting
 </li>
 <li>
 Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance
 </li>
 <li>
 Troubleshoot data issues and conduct root cause analysis when reporting data is in question
 
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 PySpark  Batch and Streaming
 </li>
 <li>
 GCP  Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and
 </li>
 <li>
 Cloud Storage
 </li>
 <li>
 NoSQL (preferably MongoDB
 </li>
 <li>
 Programming languages: Scala/Python
 </li>
 <li>
 Great Expectation, or similar DQ framework
 </li>
 <li>
 Familiarity with workflow management tools like: Airflow, Prefect or Luigi
 </li>
 <li>
 Understanding of Data Governance, Data Warehousing and Data Modelling
 </li>
 <li>
 Good SQL knowledge
 
 
 
 </li>
 </ul>
 
 Business
 
 
 
 <ul>
 <li>
 Able to communicate effectively, distill technical knowledge into digestible
 </li>
 <li>
 messages in a succinct / visual way
 </li>
 <li>
 Proactively identify and contribute with team development initiatives, and
 </li>
 <li>
 supporting junior members
 
 
 
 </li>
 </ul>
 
 Good To Have Skills
 
 
 
 <ul>
 <li>
 Infrastructure-as-Code, preferably Terraform
 </li>
 <li>
 Docker and Kubernetes
 </li>
 <li>
 Looker
 </li>
 <li>
 AI / ML engineering knowledge
 </li>
 <li>
 Lineage, or relevant tools e.g. Atlan
 </li>
 <li>
 DBT
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior Data Engineer

<div>
 
 Description
 
 
 
 
 The Role
 
 
 
 
 Census Management
 
 
 
 <ul>
 <li>
 Administer member additions, deletions, and modifications for clients&rsquo; medical and life insurance policies, ensuring compliance and data integrity.
 </li>
 <li>
 Coordinate card issuance and updates with insurers, maintaining accurate records and audit trails.
 </li>
 <li>
 Conduct thorough reviews of census files to ensure completeness and regulatory compliance.
 </li>
 <li>
 Serve as a primary point of contact for client enquiries related to membership and policy changes, delivering prompt and professional responses.
 
 
 </li>
 </ul>
 
 Invoicing &amp; Billing
 
 
 
 <ul>
 <li>
 Monitor and follow up with insurers to secure timely receipt of invoices.
 </li>
 <li>
 Liaise with clients to facilitate prompt premium payments and maintain uninterrupted coverage.
 </li>
 <li>
 Log and update client policy records within internal systems, ensuring transparency and audit-readiness.
 </li>
 <li>
 Address client queries regarding billing and policy administration.
 
 
 </li>
 </ul>
 
 Reporting &amp; Analytics
 
 
 
 <ul>
 <li>
 Audit client invoices and supporting breakdowns for accuracy and alignment with contractual terms.
 </li>
 <li>
 Collaborate with the GDC team to deliver accurate and timely claims utilisation reports.
 </li>
 <li>
 Apply predictive and preventive analytics to enhance data accuracy, enhance client decision-making, and proactively identify risks and improvement opportunities.
 </li>
 <li>
 Analyse, monitor, and report on team performance metrics and KPIs to drive operational excellence and SLA compliance.
 </li>
 <li>
 Conduct client satisfaction surveys, measure client satisfaction levels, and analyse feedback to identify areas for service improvement or expansion within the Service Delivery Team.
 
 
 </li>
 </ul>
 
 Excellence
 
 
 
 <ul>
 <li>
 Champion continuous improvement initiatives and process re-engineering to optimise service delivery, reduce manual tasks, and drive efficiency.
 </li>
 <li>
 Participate in cross-functional training and upskilling programmes to enhance team capability and adaptability.
 </li>
 <li>
 Contribute to the development and implementation of automation and AI-driven solutions, supporting digital adoption and operational resilience.
 </li>
 <li>
 Support the standardisation, centralisation, and automation of core service delivery processes to enable scalability and consistent quality.
 
 
 </li>
 </ul>
 Foster a culture of accountability, collaboration, and client focus, linking client satisfaction insights to team performance.
 
 
 
 Qualifications
 
 
 
 
 The Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree and 3+ years&rsquo; experience in insurance operations or client service.
 </li>
 <li>
 Experience with Power BI, Excel, SQL and Python for advanced data analysis, reporting KPIs, and conducting satisfaction surveys.
 </li>
 <li>
 Experience with process improvement, automation, or AI solutions (RPA platforms) is a plus.
 </li>
 <li>
 Good stakeholder management and communication skills
 </li>
 <li>
 Ability to work effectively within cross- functional Team
 
 
 </li>
 </ul>
 
 The Application Process
 
 
 
 <ul>
 <li>
 Stage 1: Online application and recruiter review
 </li>
 <li>
 Stage 2: Live video interview with hiring manager and team
 </li>
 <li>
 Stage 3: Offer and onboarding.
 
 
 </li>
 </ul>
 We&rsquo;re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@willistowerswatson.com.
</div>

Senior associate_ H&B Data analysis and Reporting

Explore 626+ Senior data analyst in Cairo this May. Find roles across top companies and apply now to boost your career.

626 senior data analyst jobs In Cairo

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Senior associate_ H&B Data analysis and Reporting