101 to 125 of 6,018 Analytical Skills Jobs

role is ideal for someone who enjoys blending commercial thinking with technical analytics - not just reporting numbers, but understanding the why behind them. What You'll Be Doing Lead analytical work across pricing, rebates, and margin performance , helping identify where value is gained or lost. Deliver actionable insights across sales, marketing, finance, and supply chain . Partner with ecommerce … environment. Translate large datasets into clear, commercial recommendations for senior stakeholders. Contribute to key strategic initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as … an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge of pricing, rebates, and margin analysis . Excellent SQL skills and analytical problem-solving capability. Commercially aware - able to tell stories with data and influence decisions. Confident communicator who can engage across multiple business areas. Naturally curious, proactive, and adaptable in a fast-changing More ❯

orientated and have excellent written and verbal communication skills. You are detail-oriented, you plan, implement, evaluate the work, and strive to improve with every iteration. You have strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. KEY RESPONSIBILITIES: Develop, train, and evaluate machine learning models for program complexity categorization and resource … methods for determining program complexity drivers. Conduct meta-analysis studies to estimate actual work effort based on program complexity. Collaborate with cross-functional teams to ensure project success. Strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and More ❯

and business understanding across the company. Candidate Requirements Proven experience in distribution, wholesale, or inventory-heavy environments. Strong understanding of inventory costing, product costing, and margin analysis. Advanced technical skills in SQL, Power BI, and Excel. Hands-on experience with data warehouse platforms, ideally Microsoft Fabric. Python experience is advantageous. Excellent communication skills and experience working closely with … business stakeholders. Proactive, curious, and able to lead analytical projects independently. If this sounds like the right opportunity for you, please reach out and submit your application. More ❯

the business What We’re Looking For: Education & Experience Degree from a top-tier university (Russell Group, Ivy League, or equivalent) At minimum, internship experience in a business, commercial, analytical, or consulting environment Up to 1 year of professional experience is a plus but not essential Relevant fields might include: Business, Economics, Engineering, Sciences, Mathematics Technical Skills Strong … Excel skills (pivot tables, complex formulas, handling large datasets) Confident with PowerPoint , able to build clear, executive-level decks Solid understanding of business financials (P&L, balance sheet, cash flow relationships) Awareness of multivariate regression/statistics (e.g. R2, confidence intervals, significance) Comfortable working with datasets of thousands of records Desirable but not essential: Python or another programming language … Experience with statistical tools (e.g. SPSS, Stata) Prior consulting experience Additional European languages Mindset & Soft Skills Naturally curious and analytical – you enjoy getting into the detail, but you’re always asking, “So what?” Strong extended/big-picture thinking – able to connect analysis to broader strategic implications Excellent written and verbal communication skills Confident explaining complex ideas More ❯

the business What We’re Looking For: Education & Experience Degree from a top-tier university (Russell Group, Ivy League, or equivalent) At minimum, internship experience in a business, commercial, analytical, or consulting environment Up to 1 year of professional experience is a plus but not essential Relevant fields might include: Business, Economics, Engineering, Sciences, Mathematics Technical Skills Strong … Excel skills (pivot tables, complex formulas, handling large datasets) Confident with PowerPoint , able to build clear, executive-level decks Solid understanding of business financials (P&L, balance sheet, cash flow relationships) Awareness of multivariate regression/statistics (e.g. R2, confidence intervals, significance) Comfortable working with datasets of thousands of records Desirable but not essential: Python or another programming language … Experience with statistical tools (e.g. SPSS, Stata) Prior consulting experience Additional European languages Mindset & Soft Skills Naturally curious and analytical – you enjoy getting into the detail, but you’re always asking, “So what?” Strong extended/big-picture thinking – able to connect analysis to broader strategic implications Excellent written and verbal communication skills Confident explaining complex ideas More ❯

will have a deep understanding of ETL processes, data warehousing, and performance tuning, along with experience working in complex data ecosystems. This role requires strong technical expertise, problem-solving skills, and the ability to collaborate with cross-functional teams to ensure the accuracy, integrity, and performance of data pipelines. Key ResponsibilitiesDesign, develop, and maintain robust ETL processes to support … pipelines.Develop and maintain technical documentation for ETL design, mappings, and workflows.Participate in data migration and modernization initiatives, including cloud data integration.Ensure compliance with data security, privacy, and audit standards.Required Skills & QualificationsBachelors degree in Computer Science, Information Systems, or related field (Masters preferred1015 years of experience in ETL development and data warehousing.Strong proficiency in one or more ETL tools such … as Informatica PowerCenter, Talend, SSIS, DataStage, or Azure Data Factory.Advanced SQL and PL/SQL skills with strong database experience (Oracle, SQL Server, Snowflake, or similarHands-on experience with data modeling, data integration, and data quality frameworks.Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data architectures (e.g., data lakes, data meshStrong understanding of data warehousing concepts (Star More ❯

How banks manage risk, controls testing, regulatory expectations, and internal audit standards Problem solving at scale: Working with real production datasets, spotting anomalies, and prioritising high‐impact issues Stakeholder skills: Writing clear findings, presenting to auditors and business leads, influencing actions Delivery habits: Agile ways of working, documentation, evidence standards, and meeting deadlines Where it can take you (example … certifications later Mentoring and feedback loops from VP‐level leaders; evidence you can showcase on your CV and in interviews Why it accelerates your career: Rare combo of technical skills + regulatory/audit context Tangible impact: your insights drive audit focus and management actions Transferable toolkit valued across financial services and beyond Apprenticeship Standard Data analyst (level … Week Monday to Friday 9am to 5pm Expected Duration 1 Year 6 Months Positions Available 1 Closing Date Thursday, 20th November 2025 Start Date Tuesday, 20th January 2026 Desired Skills Communication skills IT skills Attention to detail Organisation skills Customer care skills Problem solving skills Presentation skills Administrative skills Number skills More ❯

Analyst who will play a key role in supporting pricing, data analysis, and continuous improvement across FM and logistics projects. This is an excellent opportunity for someone with good analytical skills and an interest in commercial data. Key Responsibilities Collect, clean, and validate data from tender documents, drawings, and asset lists. Build cost models and pricing templates for … bids and projects. Timely and accurate support to pricing workstreams. Well-structured models and reports that are easy to follow. A growing understanding of how data drives commercial decisions. Skills/experience needed as the Data Analyst are: Strong Excel skills (Power Query or Pivot Tables an advantage). Interest in tools like Power BI, SQL, or Python. More ❯

CDTroubleshoot complex production issues and optimize system performance.Provide technical leadership and mentoring to junior and mid-level developers.Document technical designs, processes, and best practices for maintainability and scalability. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related field.1015 years of professional experience in software development, with a strong focus on Microsoft .NET technologies.Expert-level proficiency … in C#, .NET Framework, .NET Core, ASP.NET MVC, and Web API.Hands-on experience with front-end technologies such as Angular, React, or Blazor.Strong database skills with SQL Server (T-SQL, stored procedures, query optimizationExperience designing and integrating microservices and cloud-native applications.Familiarity with Azure cloud services, including App Services, Functions, Storage, and DevOps Pipelines.Strong understanding of object-oriented design … principles, SOLID principles, and design patterns.Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions) and version control systems (GitExcellent analytical, debugging, and problem-solving abilities.Strong communication and leadership skills. Preferred Skills Experience with containerization technologies such as Docker and Kubernetes.Knowledge of Entity Framework Core, LINQ, and dependency injection frameworks.Familiarity with NoSQL databases (MongoDB, Cosmos DBExposure to More ❯

reward, and development. Collaborate with HR, Finance, and IT to align data and reporting. Ensure compliance with data governance standards. Support continuous improvement of HR systems and reporting tools. Skills & Experience: Proven experience in HR data, analytics, or systems roles. Advanced Power BI and Excel skills; SQL experience desirable. Strong analytical and problem-solving abilities. Knowledge of More ❯

analysis Staying up-to-date with the latest industry trends and best practices in data analysis To be considered for this position, you should possess the following qualifications and skills: Proven experience as a Data Analyst or similar role, preferably within a fast-paced environment in Travel/Tourism/Hospitality. Strong proficiency in SQL, Excel, and data visualisation … tools such as Tableau or Power BI Experience with programming languages such as Python or R is a plus Excellent analytical and problem-solving skills with a keen eye for detail Strong communication and interpersonal skills, with the ability to translate complex data insights into clear and actionable recommendations Ability to work independently as well as collaborate More ❯

analysis Staying up-to-date with the latest industry trends and best practices in data analysis To be considered for this position, you should possess the following qualifications and skills: Proven experience as a Data Analyst or similar role, preferably within a fast-paced environment in Travel/Tourism/Hospitality. Strong proficiency in SQL, Excel, and data visualisation … tools such as Tableau or Power BI Experience with programming languages such as Python or R is a plus Excellent analytical and problem-solving skills with a keen eye for detail Strong communication and interpersonal skills, with the ability to translate complex data insights into clear and actionable recommendations Ability to work independently as well as collaborate More ❯

trends, patterns, and opportunities for optimization. Develop and maintain strategically insightful and visual dashboards, ensuring that key stakeholders have access to actionable data to support decision-making processes. Provide analytical support to set marketing goals, own different types of marketing metrics/KPI and review reports with marketing stakeholders to ensure these reports meet the teams' evolving data needs. … business challenges Significant experience working in a data analyst role, with CRM tools like Sales Force and data objects like leads, opportunities, lead scores and customer-centric metrics. Strong analytical and problem-solving skills, with the ability to convert data into actionable insights. Proficiency in data visualization tools such as Power BI , or similar. Experience with Snowflake and … other cloud-based data warehousing technologies is highly desirable. Familiarity with Python is a plus. Working knowledge of Lead Scoring criteria, build and implementation is a plus Great communication skills, capable of conveying complex technical concepts to non-technical stakeholders. A passion for academic publishing and a keen interest in the latest trends in the publishing industry is advantageous. More ❯

Responsibilities Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and … solutions. Mentor and support data engineers, ensuring adherence to engineering best practices. Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced … CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior engineers. Excellent documentation and knowledge-sharing practices. Analytical and adaptable in resolving complex data challenges. Effective communicator, able More ❯

Responsibilities Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and … solutions. Mentor and support data engineers, ensuring adherence to engineering best practices. Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced … CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior engineers. Excellent documentation and knowledge-sharing practices. Analytical and adaptable in resolving complex data challenges. Effective communicator, able More ❯

Technology and Transformation practice of 7500 people. Cyber security is a business problem, not just a technical problem, and we need people with a diverse array of backgrounds and skills sets to help our clients solve it. Join us and you will help our clients solve the latest cyber security challenges, in a business with very significant growth ambitions … individuals who thrive on the challenge of solving the toughest cyber security challenges faced by organisations today. Typically this will be people with a blend of technical and soft skills that allows them to both analyse the challenges in cyber security but also to communicate to a range of stakeholders from end users and technical specialists through to senior … develop new content based upon observed security activity. Responsible for leading migration and implementation strategies and plans. Develop positive working relationships with Deloitte and client teams. Connect to your skills and professional experience A successful individual will demonstrate the following behaviours, capabilities, and experience: Experience working within Agile, DevOps or Kanban delivery models. Experience in Solution design and development. More ❯

Maintain and update documentation such as Standard Operating Procedures (SOPs), user guides, and training materials. Ensure operational readiness of the delivered solution, following internal methodologies and quality standards. Required Skills and Experience 3-5 years' experience as a Business Analyst, ideally within cybersecurity, IAM, or a regulated IT environment. Strong understanding of Identity and Access Management concepts, including access … provisioning/deprovisioning, RBAC, JML processes, ServiceNow integration, and security standards (e.g. SAML, OAuth). Hands-on experience onboarding applications into IAM platforms and implementing process improvements. Strong analytical and problem-solving skills with the ability to interpret data and drive informed decisions. Excellent communication and stakeholder management skills - comfortable engaging with both technical teams and senior More ❯

support growth, efficiency, and performance. They are now looking for a Trainee Data Analyst to join their finance analytics team. This position is ideal for someone who is naturally analytical and wants to build a long-term career in financial data. The Role You will begin by learning the fundamentals of financial data analysis, from collecting and cleaning data … should have a strong interest in data and a willingness to learn. You will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial performance. Clear communication skills and More ❯

standards. Act as the subject matter expert for HR systems, leading on configuration, integration, and optimisation to support digital transformation and agile HR practices. Apply a wide range of analytical tools and techniques to deliver actionable strategic business insights, including scenario modelling and pay and benefit modelling. Develop and implement measurement frameworks, including KPIs, and ensure the accuracy, quality … and security of HR data. Manage, clean, abstract, and aggregate data, supporting data governance and quality assurance policies. Collaborate with HR, Finance, Technology, and business leaders to translate analytical requirements into actionable strategic and operational insights, and communicate findings clearly to technical and non-technical audiences. Provide leadership, support, and guidance to junior analysts, fostering a culture of continuous … improvement and professional development. You will need to demonstrate the following skills and experience: Essential Proven experience in data analysis, modelling, and interpretation within HR or a similar environment, using tools such as Excel and Power BI. In-depth knowledge of HR data systems (ideally HiBob), including configuration, integration, and security administration. Demonstrated ability to lead analytics projects and More ❯

To see more Chinese jobs please follow us on WeChat: teamchinapf AND pfteamchina Ref: 22912 Job Title - Mandarin speaking Assistant Vice President Business Intelligence Analyst The Skills You'll Need: Fluent in Mandarin, Experienced in data analysis, BI, or a related area. Your New Salary: Depending on experience Hybrid, the role will require an initial period of full time … understand data requirements and contribute to meaningful reporting solutions Support with the streamline of reporting processes and contribute to the automation of data workflows Provide support for ad hoc analytical requests and contribute to projects as needed The Skills You'll Need to Succeed: Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent … Python or R is an advantage Familiarity with data visualization best practices Team player willing to collaborate in a fast-paced and diverse environment Excellent English and Mandarin communication skills, with the ability to present findings in a clear and concise manner Please view all our Team China jobs at people-first-recruitment Please follow us on Linkedin: people More ❯

special initiatives as needed. Ensuring compliance with regulatory and governance standards, including consumer duty, financial crime, and prudent management requirements. What you can bring Strong SQL experience, with additional skills in Power BI (essential) and ideally some exposure to R, Python, DAX or similar languages. Experience working in cloud-based data environments , ideally Azure. A background in insurance or … financial services would be highly beneficial. Excellent communication and stakeholder skills — able to translate complex data into clear, actionable insights. A sharp eye for detail, strong analytical ability, and a passion for problem-solving. A proactive, results-driven approach — able to work independently and prioritise effectively in a fast-paced environment. Degree in Computer Science, Maths, Actuarial Science More ❯

special initiatives as needed. Ensuring compliance with regulatory and governance standards, including consumer duty, financial crime, and prudent management requirements. What you can bring Strong SQL experience, with additional skills in Power BI (essential) and ideally some exposure to R, Python, DAX or similar languages. Experience working in cloud-based data environments , ideally Azure. A background in insurance or … financial services would be highly beneficial. Excellent communication and stakeholder skills — able to translate complex data into clear, actionable insights. A sharp eye for detail, strong analytical ability, and a passion for problem-solving. A proactive, results-driven approach — able to work independently and prioritise effectively in a fast-paced environment. Degree in Computer Science, Maths, Actuarial Science More ❯

data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work … in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative mindset, with the ability to work in a dynamic, fast-paced environment. What's on Offer: Salary £80,000 - £90,000 DOE Hybrid working model with an office in central London. Opportunities for professional growth and development. The chance to work on impactful projects within More ❯

Spark pools. Experience developing analytics solutions using Python, PySpark, and SparkSQL onAzure Cloud. Proficiency with Power BI for dashboard design and development. Experience with structured system development methodologies. Excellent analytical, organizational, and communication skills. Preferred Qualifications 4+ years of experience withIBM Curam product (highly desirable 2+ years of strong SQL development experience. Familiarity with Business Intelligence tools such as … Business Objects or BIRT. Prior Data Warehouse experience preferred. Soft Skills Ability to work independently and manage multiple priorities in a fast-paced environment. Strong problem-solving skills with a sense of ownership and urgency. Excellent collaboration skills with both technical and non-technical stakeholders. Ability to mentor peers and contribute to continuous improvement initiatives. More ❯

data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work … in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative mindset, with the ability to work in a dynamic, fast-paced environment. What's on Offer: Salary £80,000 - £90,000 DOE Hybrid working model with an office in central London. Opportunities for professional growth and development. The chance to work on impactful projects within More ❯