42 Data Visualisation Jobs

At PwC, our team members specializing in data and analytics are dedicated to utilizing data effectively to derive insights and support strategic decision-making for our clients. By employing cutting-edge analytics techniques, we assist clients in optimizing their operations and achieving their long-term objectives. As a data analyst at PwC, your primary focus will involve extracting valuable insights from extensive datasets and facilitating data-informed decision-making processes. Your role will entail utilizing skills in data manipulation, visualization, and statistical modeling to assist clients in resolving intricate business challenges. Embodying a sense of curiosity and reliability, you are an integral part of a dynamic team. In our fast-paced setting, adaptability is crucial as you collaborate with a diverse range of clients and team members, each presenting unique challenges and opportunities for growth. Every interaction serves as a chance for personal and professional development. Taking ownership of your tasks, you are expected to consistently deliver high-quality work that not only adds value to our clients but also contributes to our collective success. As you progress within the organization, you have the opportunity to establish your reputation and create pathways to further growth and advancement. Key Skills: - Maintain a learning mindset and proactively drive your own development. - Value and respect diverse perspectives, needs, and emotions of others. - Foster habits that sustain peak performance and nurture your potential. - Engage in active listening, ask clarifying questions, and articulate thoughts effectively. - Seek, reflect upon, act upon, and provide constructive feedback. - Employ information from various sources to analyze data and identify trends. - Demonstrate a commitment to understanding business operations and enhancing commercial acumen. - Adhere to professional and technical standards, such as specific PwC tax and audit guidelines, and uphold the Firm's ethical code and independence requirements. Minimum Years Experience Required: [Please insert relevant information here] Additional Application Instructions: [Please insert any additional instructions here],

The Markets Pricing team is a key player in driving commercial strategies for the Digital & Securities Markets business. As a member of this team, you will be involved in various stages of the product lifecycle, from ideation to launch, and ongoing management. Your role will focus on developing analytics to enhance these strategies and contribute to the division's commercial performance. Working closely with senior business leaders and product development teams, you will be responsible for designing and implementing competitive commercial policies. You will report to the Senior Manager, Markets Pricing and play a pivotal role in creating and maintaining a strong analytical framework dedicated to enhancing commercial performance and pricing strategy. Your responsibilities will include creating and refining pricing structures to align with business objectives, analyzing and ensuring the competitiveness of existing pricing models, providing insights on client behavior, monitoring the impact of pricing initiatives on clients and market quality, evaluating competitors" pricing strategies, and promoting alignment in pricing structures across Capital Markets. You will collaborate effectively with the business to deliver high-quality analysis and proactively identify and present commercial opportunities. Required Skills: - Strong communication, collaboration, and analytical skills - Intermediate proficiency in data visualization tools such as PowerBI or Tableau - Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn) - Intermediate proficiency in SQL Desired Skills: - 2-3 years of professional experience preferred - Understanding of financial markets is advantageous - Knowledge of developing forecasting models is a plus - Previous experience in Data Science and Advanced Analytics is beneficial Education: - Bachelors Degree in Computer Science or equivalent experience Joining LSEG means being part of a global financial markets infrastructure and data provider with a mission to drive financial stability, empower economies, and foster sustainable growth. Our values of Integrity, Partnership, Excellence, and Change guide our decisions and actions, creating a collaborative and creative culture where new ideas are encouraged. You will be part of a diverse workforce that values individuality and is committed to sustainability. Together, we are working towards accelerating the transition to net zero, growing the green economy, and creating inclusive economic opportunities. LSEG offers a variety of benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. If you are a Recruitment Agency Partner, it is essential to ensure that candidates applying to LSEG are aware of our privacy notice.,

As a Credit Risk Analyst, you will play a crucial role in collaborating with the analytical team to support customer credit strategies, achieve commercial goals, and enhance the overall customer experience. Your responsibilities will include working alongside cross-functional teams to develop and implement retention-focused campaigns, utilizing data insights to optimize campaign performance. Additionally, you will be conducting segmentation analysis to identify high-value customer groups and tailor strategies to boost engagement effectively. Furthermore, your role will involve ensuring that all strategies are in compliance with regulations and internal policies to minimize risks associated with credit, complaints, and financial outcomes. You will be responsible for monitoring campaign performance, preparing reports to evaluate the impact on customer behavior, retention rates, and financial performance. It will be essential for you to stay updated on industry trends and customer behavior to propose innovative solutions that enhance processes and optimize customer initiatives. To excel in this role, you should ideally have experience working across credit cards, possess strong coding skills in Python or SQL, and have a background in building Management Information (MI). Additionally, experience in developing credit risk strategies, good presentation skills, proficiency in data visualization, a degree in a STEM subject, and excellent written and verbal communication skills will be beneficial for your success in this position.,

The Markets Pricing team is a key player in supporting the Digital & Securities Markets business by developing and executing commercial strategies throughout the product lifecycle. This includes activities such as ideation, development, launch, and ongoing management. Additionally, the team is responsible for creating analytical tools to enhance and refine these strategies. As a Senior Associate reporting to the Senior Manager, Markets Pricing, you will play a vital role in establishing and maintaining a strong analytical framework focused on commercial performance and pricing strategy. Your responsibilities will include designing and evolving pricing structures to align with business objectives, evaluating the competitiveness of existing pricing models, analyzing clients" behavior, assessing the impact of pricing initiatives on clients and market quality, studying competitors" pricing strategies, and promoting consistency in pricing structures across Capital Markets. You will collaborate effectively with the business to deliver high-quality analysis to stakeholders and proactively identify and present commercial opportunities. Key Skills and Experience: - Strong communication, collaboration, and analytical skills - Intermediate proficiency in data visualization tools such as PowerBI or Tableau - Intermediate proficiency in Python libraries like NumPy, Pandas, Prophet, and scikit-learn - Intermediate proficiency in SQL Desired Skills: - 2-3 years of professional experience preferred - Understanding of financial markets - Knowledge of developing forecasting models - Prior experience in Data Science and Advanced Analytics Education: Bachelor's Degree in Computer Science or equivalent experience London Stock Exchange Group (LSEG) is a prominent global financial markets infrastructure and data provider with a mission to drive financial stability, empower economies, and facilitate sustainable growth. Our culture is founded on the values of Integrity, Partnership, Excellence, and Change, guiding our decisions and actions every day. We are a diverse organization of 25,000 individuals across 65 countries, committed to fostering a collaborative and innovative environment where new ideas are encouraged, and sustainability is a top priority. Join us in reshaping the financial ecosystem to support sustainable economic growth and accelerate the transition to net zero, promoting inclusive economic opportunities. LSEG offers a range of benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. As a data subject, please review our privacy notice for information on how your personal data is handled and your rights regarding this data. For Recruitment Agency Partners, it is crucial to ensure that candidates applying to LSEG are informed about our privacy notice.,

We are looking for a motivated, analytically strong Data Analyst to strengthen our Data Analytics team within the Wehkamp Retail Group (WRG). In this role, you will work on smart, data-driven solutions for our brands Wehkamp and kleertjes.com. You enjoy translating complex data into actionable insights. This will contribute significantly to data-driven decisions and strategies across departments and brands, from marketing and pricing to supply chain and more. As a data analyst at WRG, your responsibilities include: - Translating data into insights that colleagues can truly act on; - Analyzing e-commerce data to identify trends, patterns, and improvement opportunities; - Cleaning, validating, and analyzing large datasets with a focus on quality and consistency; - Developing and managing dashboards and reports with KPIs to support daily decision-making within the organization; - Translating complex insights into concrete recommendations and presenting them clearly to diverse stakeholders with varying technical backgrounds; - Building analytical models, such as evaluating promotions or calculating price elasticity, to enhance business performance; - Applying segmentation techniques to better understand customer groups and target commercial opportunities. Requirements: - A master's degree in a relevant field such as econometrics, economics, statistics, mathematics, data science, or a similar quantitative discipline; - Minimum of 3 years of relevant experience, preferably in e-commerce or retail; - Experience with programming languages like Python or R; - Strong analytical skills and a problem-solving mindset; - Experience with data visualization tools such as Tableau; - Excellent communication skills and the ability to translate findings into actionable insights; - Ability to independently plan and execute multiple tasks in a dynamic environment; - EU citizenship and/or residing in the Netherlands. What do we offer in return We support your career growth every day. Your development and personal growth are a mutual commitment: as Wehkamp Retail Group grows, you grow. You grow, Wehkamp Retail Group grows. Additionally, we provide: - Salary based on your experience; - Holiday allowance of 10.5%; - 25 vacation days; - Profit-sharing; - Bike lease and bike plan; - Access to our own gym for sports; - Travel reimbursement and a remote work allowance; - Good pension scheme; - Annual opportunity to progress within your salary scale; - Discount on supplementary health insurance; - Employee discount on almost the entire range of Wehkamp.nl.,

Join us as a Data Analyst and take on a new challenge in a cutting-edge data team. In this role, you will be responsible for managing the analysis of complex bank, franchise, or function data to identify business issues and opportunities. Your high-quality analytical input will be crucial in developing and implementing innovative processes to resolve problems across the bank. This hands-on role will allow you to hone your data analysis expertise and gain valuable experience in a dynamic area of our business. This position is at the vice president level. As a Data Analyst, you will be instrumental in supporting the delivery of high-quality business solutions. Your responsibilities will include data extraction, storage, manipulation, processing, and analysis. You will also develop and execute standard queries to ensure data quality and identify inconsistencies and missing data. Additionally, you will: - Collect, profile, and map appropriate data for new or existing solutions and ongoing data activities - Identify and document data migration paths and processes, standardize data naming, definitions, and modeling - Interpret customer needs and translate them into functional or data requirements and process models - Build and maintain collaborative partnerships with key business stakeholders We are looking for a candidate with experience in using data analysis tools and delivering data analysis in a technology or IT function. The ideal candidate will also possess: - Data visualization skills using tools such as Tableau, Excel, and Power BI - Database query skills in SQL, Athena, Snowflake, and Postgre - Proficiency in gathering data requirements and understanding functional usage - Knowledge of conceptual data models and strong Excel skills If you are a data enthusiast with a passion for analysis and problem-solving, we invite you to join our team as a Data Analyst to make a significant impact on our business.,

You are a detail-oriented and skilled Junior Data Analyst who will be an integral part of our dynamic team. Your primary responsibility will be creating Management Information (MI) Dashboards to drive intelligence and insights throughout the organization. The ideal candidate for this role should have extensive experience in using Power BI and Microsoft Fabric, and excel in a demanding, data-led environment. Additionally, you should possess a strong understanding of Master Data Management & Data Science methodologies and know how to apply them effectively within the organization. Your key accountabilities will include supporting the development of Management Information Dashboards by designing, developing, and maintaining interactive MI Dashboards using Power BI with guidance. You will also assist in data analysis and reporting to identify trends and insights that contribute to business decisions, using basic statistical techniques and tools to generate reports and dashboards. Furthermore, you will provide Business Intelligence Support by leveraging data to aid business intelligence initiatives and data-driven decision-making. This includes implementing BI frameworks and improving data accessibility across teams. Collaboration is essential in this role, as you will work closely with team members and stakeholders to understand data requirements and support the delivery of data solutions. Your participation in training sessions will enhance data literacy within the organization. Data preparation and SQL tasks will be part of your responsibilities, including data cleaning, validation, and basic data engineering using SQL under supervision. You will assist in automating data extraction and transformation processes and maintaining API connections for integrating data sources into dashboards and data systems. Adherence to standards is crucial, so you must follow established procedures to maintain accuracy and consistency in all data-related tasks. This involves supporting data governance and compliance with best practices. Continuous learning and improvement are encouraged, as you should identify areas for personal and process improvement, stay updated on basic data analysis techniques, and BI tools to grow your skills and contribute to innovation. Moreover, you will support Data Quality Management by following and improving data quality assurance processes to maintain accuracy and reliability of data used in reporting and analysis. This includes assisting in routine data quality checks, audits, data cleansing, and validation tasks to ensure reliable datasets for analysis. You will also monitor data quality metrics and report on data quality indicators while communicating data issues to relevant teams for resolution. In addition, you will provide Master Data Management (MDM) Support by ensuring master data accuracy and consistency across the organization. You will assist in implementing and following MDM policies and procedures, monitoring master data quality, supporting data governance initiatives, and collaborating with IT and business teams for master data integration. Preparation of user guides, providing basic training/support on MDM tools, and processes will also be part of your responsibilities. Your focus on learning Data Science Methodologies will involve gaining exposure to machine learning concepts, basic statistical analysis, data visualization, and familiarity with big data tools. You will stay updated on data science trends and assist in applying new techniques as part of continuous learning and team projects. Essential skills and experience for this role include basic to intermediate proficiency in Power BI or similar BI tools, familiarity with SQL and APIs, willingness to learn and develop these skills further, exposure to data warehousing concepts or tools like Azure Data Factory (advantageous but not mandatory). You should have a foundational understanding of data cleaning, transformation, preparation, data modeling, database concepts, data quality concepts, Excel skills including Pivot Tables and Power Query, and the ability to perform basic data analysis and automate simple tasks within Excel.,

As a UI/UX Product Designer for Deciphex, you will have the opportunity to help build the future of AI in Health. If you are a product designer with a passion for making a meaningful impact, this role is tailored for you. Joining our team means being part of a fast, flexible, and purpose-driven organization. You will have the autonomy to unleash your creativity and the support to further develop your skills. Your contributions will directly influence the product, user experience, and critical decision-making processes in the healthcare industry. Your primary responsibilities will include designing intuitive interfaces for Patholytix, our AI platform used in toxicologic pathology and drug discovery. You will craft wireframes, prototypes, storyboards, and UI components to streamline complex scientific workflows. Building responsive and user-friendly designs that cater to various devices and screen sizes will be a key aspect of your role. Additionally, you will be responsible for maintaining and evolving our design system to ensure consistency, quality, and scalability. Conducting usability testing, gathering feedback, and iterating rapidly will be essential tasks to enhance user experience. Your involvement in customer demos and voice-of-customer sessions will provide valuable insights into the practical application of your designs. Promoting a user-first mindset within your team and the organization, sharing knowledge, mentoring colleagues, and advocating for good design practices throughout the product lifecycle are integral parts of this role. To excel in this position, you should possess at least 5 years of UX/UI design experience along with a robust portfolio showcasing your UX thinking and UI design skills. Experience in designing software products, especially complex systems or B2B tools, is highly beneficial. Proficiency in tools like Figma and FigJam is required, and a background in healthtech, AI, data visualization, or platform design is considered a bonus. We value individuals who are results-focused, collaborative, clear communicators, self-driven, uphold high standards, proactive, and adaptable to change. Being able to work effectively in Agile environments and across multicultural teams, as well as having excellent verbal and written English skills, are crucial for success in this role. Deciphex, founded in Dublin in 2017, has a global presence with offices in Dublin, Toronto, Exeter, Oxford, and Chicago. Our flagship platform, Patholytix, is trusted by major pharmaceutical companies and CROs worldwide, revolutionizing research pathology through digital transformation. Join us in our mission to improve patient outcomes by accelerating drug development through collaboration, innovation, and a shared commitment to making a difference.,

At PwC, our team in audit and assurance focuses on providing independent and objective assessments of financial statements, internal controls, and other assurable information to enhance credibility and reliability for stakeholders. We evaluate compliance with regulations, assess governance and risk management processes, and related controls. As part of the data, analytics, and technology solutions team, you will assist clients in developing solutions that build trust, drive improvement, and detect, monitor, and predict risks. Your work will involve utilizing advanced analytics, data wrangling technology, and automation tools to leverage data and establish the right processes for clients to make efficient decisions based on accurate and trustworthy information. You are expected to be driven by curiosity and be a reliable team member in a fast-paced environment. Working with various clients and team members will present different challenges and scope, providing opportunities for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is crucial. Building a personal brand within the firm will open doors to more opportunities for you. As an Associate, your responsibilities include designing and developing ways to automate and reimagine audits, implementing innovative technologies such as Alteryx, SQL, Python, Power BI, and PowerApps. You will develop a strong understanding of the role of data and analytics in modern audits and work on technical assignments to enhance skills in data analytics and visualization. Client engagements, data management, analytics and reporting, advanced analytics, and building relationships with engagement teams and clients are key aspects of your day-to-day responsibilities. Preferred qualifications for this role include a Bachelor's or Master's degree in Computer Science, Data Analytics, or Accounting with a minimum of 1 year of relevant experience. Candidates with Big 4 or equivalent experience are preferred. Essential skills required include market credentials in data & analytics, stakeholder management, project management, analytical and problem-solving capabilities, and a long-term career ambition at PwC. Desirable skills include finance process knowledge, audit experience, use of technology in data & analytics, and experience working in financial reporting, financial accounting, regulatory compliance, or internal audit. Technical skills needed for this role encompass data transformation and modeling, data storage and querying, data visualization, understanding data quality issues, data cleansing, robotics, finance/accounting understanding, and knowledge of current data science software platforms.,

Are you ready to disrupt an industry and change lives As an Associate at GCC's Sampling Allocation Service in AstraZeneca, you will be responsible for developing and implementing analytical programs to optimize sampling distributions for branded products. This role is a blend of managerial and hands-on tasks, involving proactive collaboration with brand team members and overseeing the internal GCC Sampling team to ensure deliverables meet specific requirements. Your role will require working closely with brand teams to comprehend rules, requirements, and sampling strategies, utilizing your expertise across various commercial datasets to ensure accurate implementation. Your contributions will play a vital role in the sample ordering and distribution system, directly influencing the development of life-changing medicines. Location: Bangalore Experience: 3-6 years Notice period: Maximum 2 months (strictly) **Essential Skills/Experience:** - A quantitative Bachelor's degree from an accredited institution in fields like Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science is mandatory. An advanced degree (Masters, MBA, or PhD) is preferred. - Minimum of 2 years of experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis. - At least 3 years of experience in applying advanced methods and statistical procedures on large and disparate datasets, with expertise in areas such as Data Mining, Predictive Modeling algorithms, Optimisation & Simulation. - Proficiency and recent experience (2+ years) in Python, R, SQL, and big data technologies. - Working knowledge of data visualization tools like PowerBI, VBA, or similar platforms. - Proficiency in MS Office products, including PowerApps, Excel, and PowerPoint. - Ability to manipulate and extract insights from extensive longitudinal data sources like Claims, EMR, and other patient-level datasets. - Expertise in managing and analyzing various large, secondary transactional databases. - Background in statistical analysis and modeling, with Machine Learning knowledge as a plus. - Familiarity with IQVIA datasets and sales-related data sets like targeting and alignment, HCP eligibility, and call data. - Experience in data visualization methods and tools for effective communication of insights derived from analyses. - Strong organization and time management skills. **Desirable Skills/Experience:** - Strong leadership and interpersonal skills, with a proven ability to collaborate effectively with business leaders and cross-functional partners. - Excellent communication and influencing abilities, capable of presenting concise and compelling reviews of independently developed analyses along with actionable insights to stakeholders. - Strategic and critical thinking skills, with the capability to engage, build credibility, and maintain relationships with the Commercial Leadership Team. - Exceptional organizational skills and time management, adept at handling multiple projects simultaneously.,

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

The Senior Marketing Analyst role at Monks is a unique opportunity where you will engage in a variety of data analysis activities while collaborating closely with cross-functional teams such as media, finance, and operations. As a key partner with a large tech company, your primary focus will be to assist in running advertising campaigns and offering essential analytics support. We are seeking a dynamic individual who is quick on their feet and adaptable to seize new opportunities. Your responsibilities in this role will include building, enhancing, and optimizing reports to provide insights into project performance, managing the data team backlog, leading various data team projects, conducting detailed analysis of complex data sets, identifying trends and issues, and extracting valuable insights. You will also be expected to support cross-functional teams with analytical guidance, maintain data products, develop visualization tools, dashboards, reports, and spreadsheets, and ensure a comprehensive understanding of data flows, sources, and transformations across multiple platforms. To excel in this position, you should hold a Bachelor's or Master's degree in Data Science, Statistics, Economics, Quantitative Finance, or a related field, along with a minimum of one year of experience in using SQL and proficiency in spreadsheet and data visualization tools. Knowledge of programming languages like Javascript, R, or Python would be advantageous. Strong presentation skills, attention to detail, time management abilities, strategic thinking, problem-solving skills, and effective communication are essential traits we are looking for in the ideal candidate. Monks, a global brand under S4Capital plc, is renowned for its innovative marketing and technology services. By integrating systems and workflows, Monks facilitates content production, scaled experiences, enterprise-grade technology, and data science driven by AI-managed digital talent. Our commitment to diversity and inclusivity fosters a respectful and empowering work environment where fresh voices and unique perspectives are valued. Join us at Monks to be a part of a vibrant and forward-thinking team dedicated to redefining how brands and businesses engage with the world.,

You will be responsible for refining ambiguous questions and generating new hypotheses about the product through a deep understanding of the data, customers, and business. Designing experiments and interpreting the results to draw detailed and impactful conclusions will also be a key aspect of your role. You will define how our teams measure success by developing Key Performance Indicators and other user/business metrics in close partnership with Product and other subject areas such as engineering, operations, and marketing. Collaboration with applied scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of data logging and data pipelines will be essential. Additionally, you will develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives. To be successful in this role, you should have an undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. With at least 6 years of experience as a Product Analyst, Sr. Data Analyst, or in other data analysis-focused functions, you should possess an excellent understanding of statistical principles supported by an academic foundation. Advanced SQL expertise and experience with either Python or R for data analysis are required. You should also have significant experience in setting up and evaluating complex experiments, along with a proven track record of wrangling large datasets, extracting insights, and summarizing learnings. Proficiency in Excel and some dashboarding/data visualization tools like Tableau, Mixpanel, or Looker is preferred. Preferred qualifications include a proven aptitude for Data Storytelling and Root Cause Analysis using data, the ability to learn and adapt to new methodologies for data collection and analysis, and delivering on tight timelines while prioritizing multiple tasks with attention to quality and detail. You should be able to work in a self-guided manner, mentor, coach, and develop junior team members, and possess superb communication and organizational skills.,

As a valued member of our well-established Global MNC, you will play a crucial role in the financial reporting processes by preparing close estimate templates, participating in close review calls, conducting deviation analysis, and generating monthly and quarterly close summaries. Your dedication to accuracy and timeliness will ensure the integrity of our financial reporting. Your key responsibilities will include designing forecasting templates, engaging in forecast calls, and supporting forecast consolidation tasks to streamline business unit forecast reviews. By prioritizing efficient budgeting and forecasting processes, you will proactively challenge stakeholders to achieve enhanced outcomes. Moreover, you will be responsible for cost controlling in various functional areas, coordinating audits, preparing essential reports, and serving as the primary contact for detailed analysis with the segment HQ. Our ideal candidate is a CA with over 8 years of relevant experience, equipped with a profound understanding of accounting principles, financial planning, and budgeting. Your extensive background in finance and controlling, along with exceptional communication and analytical skills, will be instrumental in your success. Demonstrating a proactive approach to adopting new tools and technologies, maintaining a positive attitude, and showcasing proficiency in Microsoft Office (particularly Excel and PowerPoint), as well as expertise in Power BI and Tableau for data visualization and analysis, will set you apart. Join our team and be a part of our esteemed Global MNC, where you will thrive in a supportive and ethical corporate culture. If you are ready to contribute your expertise and collaborate with a dynamic team, we invite you to explore this exciting opportunity. Contact: Nitin Teckchandani Quote job ref: JN-012024-6292898,

You should have the ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrating competency in Probability and Statistics, you should be capable of utilizing ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Your experience should include dealing with outliers, denoising data, and handling the impact of pandemic like situations. Performing Exploratory Data Analysis (EDA) of raw data and feature engineering wherever applicable is crucial. You should possess demonstrable competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions is essential. Being able to train and evaluate ML models using various machine learning and deep learning algorithms is a must. You should also be skilled in retraining and maintaining model accuracy in deployment. Knowledge of cloud platforms such as AWS, Azure, and GCP is required. Exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase) is preferred. An understanding of forecasting experience in products like SAP, Oracle, Power BI, and Qlik is beneficial. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) is expected. Having experience with large datasets and distributed computing (Hive/Hadoop/Spark) is advantageous. Knowledge of transfer learning using state-of-the-art models in different spaces like vision, NLP, and speech is a plus. Integration with external services and Cloud API is also a part of the role. Working with data annotation approaches and tools for text, images, and videos is desirable. You should be able to package and deploy large-scale models on on-premise systems using multiple approaches, including Docker. Taking complete ownership of the assigned project is necessary. Experience of working in Agile environments and being well-versed with JIRA or equivalent project tracking tools is expected.,

You will be serving as a ServiceNow Performance Analyst (Reporting Analyst) at a full-service digital transformation services and consulting firm founded in 2014. Your primary responsibilities will include supporting the Reporting Lead within the Enterprise Service Management (ESM) Practice. In this role, you will be actively involved in creating new reporting dashboards, understanding key requirements from client stakeholders, and assisting in various organizational change program activities. Your main duties will revolve around providing OTB automated reporting to meet client needs, identifying areas for tech solutioning to enhance reports in alignment with client requirements, and developing reporting dashboards to support IT HAM strategic initiatives. Additionally, you will collaborate with client teams to guide requirements and data-driven decisions, offer insightful reporting and analysis against targets and KPIs, and drive cultural change to ensure the adoption of reporting dashboards within the organization. To excel in this role, you should have 3-5 years of data analytics and reporting experience, possess strong data analysis skills with proficiency in data visualization and reporting tools such as Power BI, and demonstrate advanced competency in ServiceNow Performance Analytics. Holding a ServiceNow Admin Certification would be advantageous. Being creative in your approach, prioritizing work effectively based on deadlines and criticality, and having the ability to identify trends, issues, and opportunities for actionable recommendations are essential skills for this position. As part of your responsibilities, you will also be required to complete GDPR training annually to ensure compliance with the organization's policies and standards regarding GDPR. Adherence to these guidelines is crucial to protect the interests of clients and staff, and failure to comply may result in disciplinary action. Your reporting line within the organization will be as follows: - Engagement Lead: Mark Mathieson - Project Manager: Steve Coster - Practice Lead: Roger Bennett - ESM Delivery: Victoria Page If you are looking for a dynamic role where you can leverage your data analytics expertise to drive organizational change and enhance reporting capabilities, this position offers an exciting opportunity to contribute to a fast-paced and innovative environment.,

As a Credit Risk Analyst working on behalf of one of the world's largest credit bureaus, you will be part of a dynamic team dedicated to supporting customer credit strategies and enhancing the overall customer experience. You will collaborate with the analytical team to develop and implement retention-focused campaigns, utilizing data insights to optimize campaign performance. Your role will involve performing segmentation analysis to identify high-value customer groups and tailor strategies accordingly to boost engagement. It will be essential to ensure that all strategies adhere to regulations and internal policies, mitigating risks related to credit, complaints, and financial outcomes. Monitoring campaign performance and preparing reports to evaluate their impact on customer behavior, retention, and financial performance will also be part of your day-to-day responsibilities. In this role, staying updated on industry trends and customer behavior will be crucial in order to propose innovative solutions that enhance processes and optimize customer initiatives. Your skills and experience should ideally include a background in working across credit cards, strong coding abilities in languages such as Python or SQL, experience in building Management Information (MI), and developing credit risk strategy. Additionally, proficiency in data presentation and visualization, a degree in a STEM subject, and excellent written and verbal communication skills are key attributes that will contribute to your success in this role.,

As an OBIA Developer specializing in OBIEE and ODI, you will be responsible for developing customer solutions using Oracle's analytics offerings such as Oracle Analytics Cloud, Data Visualisation, Fusion Analytics for Warehouse, OBIEE, and OBIA. Your primary tasks will include customizing Oracle BI Applications modules like Finance Analytics and Procurement & Spend Analytics at both ETL and Reporting layers. You will be involved in the design and development of ETL interfaces using Oracle Data Integrator within the Oracle BI Applications context. It is essential to have hands-on experience in implementing OAC/OBIEE reporting tools like BI Publisher, Analysis, and Dashboards. Your expertise will be crucial in designing and developing Oracle BI Repository (RPD) solutions. In addition, you will work on configuring OBIEE/OBIA security, including authentication, authorization at object and data levels, as well as tuning for multiple source systems. Your role will also require advanced knowledge of OBIA pre-built content and the ability to customize and extend this content for various modules. A solid understanding of Business Intelligence (BI) tools, Data Warehouse (DW), Data Modeling concepts, and proficiency in SQL/PLSQL are essential for success in this role. If you have 5 to 12 years of relevant experience and are ready to join immediately, we encourage you to apply for this position based in Hyderabad.,

As a member of the Capco team, you will have the opportunity to make a significant impact by leveraging your innovative thinking, delivery excellence, and thought leadership to assist our clients in transforming their businesses. With a global presence in 32 cities and a track record of supporting over 100 clients in the banking, financial, and energy sectors, we are renowned for our deep expertise in transformation execution and delivery. At Capco, we foster a culture that values diversity, inclusivity, and creativity, allowing our employees to be themselves at work. With no forced hierarchy, every individual has the chance to grow alongside the company and take charge of their own career advancement. In this role based in Bangalore or Pune, you will work in a hybrid mode with a shift timing from 12.30 PM to 9.30 PM IST. We are looking for a professional with at least 6 years of experience who can fulfill the following key job responsibilities: - Train AI models (e.g., Google Doc AI) without the need for coding experience - Have exposure to the document checking process - Review logs to identify transactions and root causes that impede Straight-Through Processing (STP) - Translate data into actionable insights such as Enhancement Change Requests for the tech team, Client exception reports for educating clients through Relationship Managers, and procedural changes - Conduct first-level testing for proposed requirements - Create process maps and user stories - Possess exceptional presentation skills, especially in data visualization and PowerPoint - Experience with Tableau and Looker Studio would be advantageous, but candidates familiar with other tools can easily adapt Moreover, your role will involve tasks such as STP Failure Analysis, Cross-Functional Collaboration with Operations and Technology teams, Process Mapping & Efficiency Studies, STP Metrics & Benchmarking, User Acceptance Testing (UAT), Stakeholder Communication, Operational Interlocks, Data Quality & Pre-Validation, and translating raw data into actionable insights for Clients, Tech, and Ops. If you are looking to join a dynamic and inclusive team where you can contribute to impactful projects and drive continuous improvement, Capco is the place for you. Apply now and be part of our journey to drive positive change in the financial and energy services sectors.,

The Data Quality Specialist role in Melbourne requires the following qualifications and experience: - A tertiary qualification in I.T. or related discipline is a must. - Minimum of 5 years experience in a similar data quality management role is required. - Working knowledge and practical experience in SQL and associated tools are necessary. Experience with relational databases and big data technologies is preferred. - Proficiency in methods and tools used for data profiling and data analysis is essential. - Ability to interpret business processes and relate them to application workflow and logical and physical data structures is required. - Understanding of business rules and their enforcement in determining data quality outcomes is crucial. - Knowledge and experience in industry standard data governance and data management guidelines and practices are expected. - Working knowledge of data visualization tools to create dashboards and scorecards is beneficial. - Excellent communication skills, self-motivation, and the ability to work in a team as well as take individual responsibility are important qualities for this role. - Experience in the Health Insurance and Health Services industries is an advantage.,

As a talented designer, you will be responsible for conceptualizing and designing a wide range of digital products, from websites to apps, using high-power User Experience techniques. Your designs should always aim to incorporate a WOW factor, setting them apart from the rest. To excel in this role, you should possess a strong formal education in arts, ensuring that you have a solid foundation in design principles. Your key responsibilities will include Visual Design, encompassing layout, graphics, and animation, to create visually stunning and engaging user interfaces. Additionally, you will be involved in developing InfoGraphics and Data Visualizations, transforming complex data into easily digestible visual formats. Your creativity and attention to detail will be crucial in delivering compelling and effective design solutions. If you are passionate about creating innovative and impactful designs, and have a keen eye for aesthetics and functionality, we invite you to join our team and contribute to shaping the visual identity of our digital products.,

As a Data Scientist at Standard Chartered, you will leverage your domain expertise to identify opportunities where Artificial Intelligence (AI) can enhance operations, reduce costs, boost productivity, and personalize client experiences. We are seeking individuals with a strong foundation in AI, mathematics, engineering, sciences, or related disciplines, who are intellectually curious, analytical, and eager to learn. In collaboration with stakeholders such as the sales team, relationship managers, traders, and leadership, you will analyze business needs to define AI requirements with measurable success criteria. You will be responsible for extracting insights from extensive datasets, improving data collection methods, recommending AI solutions, and developing self-service dashboards for reporting purposes. Key Responsibilities: - Collaborate with various stakeholders to identify areas where AI can optimize business processes. - Define AI business requirements with clear success metrics. - Analyze large datasets to uncover trends and insights. - Improve data collection methods and recommend AI solutions. - Develop self-service dashboards for reporting. - Utilize data visualization tools to translate analytics into actionable insights. - Implement a framework for continuous monitoring of deployed AI models. Skills and Experience: - 2-5 years of experience in AI, Mathematics, Engineering, or related fields. - Proficiency in predictive models, machine learning algorithms, and data visualization tools. - Knowledge of Natural Language Processing (NLP) and Python programming. - Familiarity with financial mathematics, time series analysis, data governance, and AI regulatory compliance. - Experience with AI techniques including quantum machine learning. Competencies: - Action Oriented - Collaborates - Customer Focus - Gives Clarity & Guidance - Manages Ambiguity - Develops Talent - Drives Vision & Purpose - Nimble Learning - Decision Quality - Courage - Instills Trust - Strategic Mindset Join us at Standard Chartered, an international bank committed to driving commerce and prosperity through our unique diversity. We value inclusivity, innovation, and continuous learning, offering a supportive work environment with opportunities for growth and development. If you are passionate about making a positive impact and thrive on challenges, we invite you to explore a rewarding career with us. Visit our careers website to learn more about opportunities at Standard Chartered.,

As a detail-oriented and experienced Senior Editor, you will be responsible for leading, managing, and enhancing our editorial content. Your strong editorial background, exceptional language and communication skills, and the ability to guide writers while maintaining the voice, quality, and standards of our publication/brand are essential for this role. Your key responsibilities will include overseeing the entire editorial process from content planning to publishing, editing and proofreading content for grammar, clarity, accuracy, and tone, collaborating with the team to create engaging and high-quality content, ensuring all content aligns with the brand's voice, style, and editorial guidelines, providing constructive feedback and mentorship to writers and editors, working closely with design, marketing, and digital teams for content integration, staying updated on industry trends, reader preferences, and content best practices, and managing multiple projects with tight deadlines while upholding high quality. To qualify for this position, you should have a Bachelor's or Master's degree in English, Journalism, Communications, or a related field, along with at least 5 years of experience in content creation, editing, or publishing. A strong command of grammar, punctuation, and editorial style, experience in managing editorial teams and workflows, the ability to work independently and collaboratively, and excellent time management and organizational skills are also required. Preferred skills for this role include strong storytelling and structuring capabilities, an eye for design and layout for digital and print formats, experience in educational publishing, children's content, news, lifestyle, or any relevant field, and basic knowledge of analytics to track content performance.,

As a Finance Analyst at WPP SSC India, you will be part of the newly established Intercompany Group Reporting team. You will play a crucial role in analyzing and reconciling intercompany balances across reporting units worldwide. Utilizing your expertise in data analytics and financial reporting, you will be responsible for maintaining data integrity and quality checks for intercompany transactions. Your key responsibilities will include performing regular analysis and reconciliation of intercompany balances, monitoring trends and risk areas, and preparing reports for management. You will collaborate with IT and finance systems support teams to enhance data capture and reporting capabilities, as well as identify opportunities for process improvement and automation. To excel in this role, you should have a Bachelor's degree in Finance, Accounting, Business, Data Science, or a related field, along with at least 5 years of experience in data analysis, financial analysis, or accounting. Experience with data visualization tools such as Power BI, ERP systems like SAP, and strong communication skills in English are highly desirable. Your ability to work independently, manage priorities, and meet deadlines in a fast-paced environment will be key to your success. At WPP, you will have the opportunity to be part of a global finance team, exposure to international accounting standards, and a supportive work environment that fosters professional development and career growth. If you are a proactive, detail-oriented team player with a passion for data analysis and financial reporting, we invite you to join us in creating extraordinary work for our clients and communities.,

As a Data Scientist at WAC, you will play a crucial role in transforming intricate data into actionable insights that drive business strategies and foster innovation. Your primary responsibility will involve collaborating with diverse teams to create and implement data science solutions that align with our business objectives. Your tasks will include data exploration, where you will gather, cleanse, and preprocess data from a variety of sources to ensure its quality and reliability. Leveraging advanced statistical and machine learning techniques, you will conduct in-depth analyses to derive meaningful insights. Additionally, you will be responsible for developing, refining, and optimizing predictive models that tackle specific business challenges and opportunities. Creating visually engaging reports and dashboards to present findings to technical and non-technical stakeholders will be a key aspect of your role. You will also be involved in formulating and testing hypotheses, as well as designing and executing A/B tests to evaluate the impact of changes and enhancements. Your ability to communicate complex technical findings in a clear and understandable manner will be vital in supporting decision-makers. Collaboration will be integral to your work, as you will liaise with teams across the organization to grasp business goals and provide data-driven insights and recommendations. Continuous learning is encouraged, and staying abreast of the latest trends in data science, machine learning, and analytics will enable you to apply cutting-edge techniques and tools effectively. To qualify for this role, you should hold a Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines. With a minimum of 4 years of experience in a Data Scientist or similar position, you must demonstrate proficiency in data analysis tools and languages like Python or R. A strong grasp of machine learning techniques and libraries, coupled with familiarity with data visualization tools such as Tableau or Power BI, is essential. Your problem-solving abilities, critical thinking skills, and aptitude for effective communication, especially in simplifying complex technical concepts for non-technical stakeholders, will be crucial. An understanding of data ethics and the responsible use of data is also expected from potential candidates. Thank you for your interest in joining Webandcrafts. We eagerly anticipate delving deeper into your application to assess your suitability for this role.,