38 Statistical Concepts Jobs - Page 2

The Data Visualization, Business Analytics role is vital for the organization as it involves transforming intricate data into visual insights for key stakeholders, facilitating informed decision-making and strategic planning. You will collaborate with business leaders to recognize and prioritize data visualization requirements. Your responsibilities will include designing interactive dashboards and reports to illustrate essential business metrics and trends. You will create visually appealing charts, graphs, and presentations that are easily understandable. Furthermore, it is essential to develop and uphold data visualization best practices and standards. As part of the role, you will utilize various data visualization tools and platforms to present insights effectively. Conducting data analysis to identify patterns and trends for visualization purposes will be a key task. Implementing user interface (UI) and user experience (UX) principles to enhance visualization is crucial. Providing training and support to team members on data visualization techniques is also part of the responsibilities. Additionally, you will be responsible for performing ad-hoc analysis and data mining to support business needs. Collaboration with data engineers and data scientists to ensure data accuracy and integrity is essential. It is important to stay updated with industry trends and best practices in data visualization and business analytics. Presenting findings and insights to key stakeholders in a clear and compelling manner will be a regular task. Communication with cross-functional teams to understand data requirements is vital. You will contribute to the continuous improvement of data visualization processes and techniques. The role requires a Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field. Proven experience in data visualization, business intelligence, or related roles is necessary. Proficiency in data visualization tools like Tableau, Power BI, or D3.js is essential. Strong analytical and problem-solving skills are required. Expertise in SQL for data querying and manipulation is a must. An understanding of statistical concepts and data modeling is crucial. Excellent communication and presentation skills are necessary. The ability to work effectively in a fast-paced and dynamic environment is essential. Knowledge of business operations and strategic planning is required. Experience in interpreting and analyzing complex datasets is beneficial. Familiarity with data warehousing and ETL processes is a plus. Managing multiple projects and deadlines simultaneously, being detail-oriented with a focus on data accuracy and quality, working collaboratively in a team setting, and possessing strong business acumen and understanding of key performance indicators are important skills for this role.,

Are you passionate about data-driven HR and skilled at transforming complex analytics into actionable insights We are looking for an HR Analytics Trainer to design and deliver high-impact training programs that empower HR professionals with data literacy, People Analytics, and HR tech skills. As an HR Analytics Trainer, you will develop and deliver engaging training modules on HR analytics, workforce planning, predictive modeling, and HR dashboards. You will teach statistical concepts, HR metrics, and data storytelling to HR teams. Additionally, you will create hands-on exercises using real-world HR datasets and tools, customize training for different skill levels (beginners to advanced) and industries, and stay updated on HR tech trends (AI in HR, People Analytics) to ensure cutting-edge content. The ideal candidate for this role has 2+ years of experience in HR Analytics, People Analytics, or HRIS, with training/coaching experience. You should have strong expertise in HR data tools, the ability to simplify complex analytics concepts for non-technical audiences, and certifications in HR analytics, data science, or L&D are a plus. Excellent communication and facilitation skills are essential for this position. Join us to impact HR professionals globally with scalable learning solutions. We offer a flexible work environment with remote/hybrid options and a competitive salary with performance incentives.,

As a Data Scientist at KPMG in India, you will collaborate with business stakeholders and cross-functional subject matter experts to gain a deep understanding of the business context and key questions. You will be responsible for creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs), and guiding them through production deployment and operationalization. Your role will involve influencing machine learning strategy for digital programs and projects, while making solution recommendations that balance speed to market and analytical soundness. In this position, you will explore design options to assess efficiency and impact, develop approaches to enhance robustness and rigor, and develop analytical and modeling solutions using various tools such as Python, R, and TensorFlow. You will be tasked with formulating model-based solutions by integrating machine learning algorithms with other techniques like simulations, as well as designing, adapting, and visualizing solutions based on evolving requirements. Your responsibilities will also include creating algorithms to extract information from large datasets, deploying algorithms to production to identify actionable insights, and comparing results from different methodologies to recommend optimal techniques. Moreover, you will work on multiple facets of AI including cognitive engineering, conversational bots, and data science, ensuring that solutions demonstrate high levels of performance, security, scalability, and maintainability upon deployment. As a part of your role, you will lead discussions at peer reviews and utilize interpersonal skills to positively influence decision-making processes. You will provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts, making significant contributions to internal discussions on emerging practices. Additionally, you will facilitate the sharing of new ideas, learnings, and best practices across different geographies. To qualify for this position, you must hold a Bachelor of Science or Bachelor of Engineering degree at a minimum, along with 2-4 years of work experience as a Data Scientist. You should possess a blend of business focus, strong analytical and problem-solving skills, and programming knowledge. Proficiency in statistical concepts, ML algorithms, statistical/programming software (e.g., R, Python), data querying languages (e.g., SQL, Hadoop/Hive, Scala), and experience with data management tools like Microsoft Azure or AWS are essential requirements. Moreover, you should have hands-on experience in feature engineering, hyperparameter optimization, and producing high-quality code, tests, and documentation. Familiarity with Agile principles and processes, and the ability to lead, manage, and deliver business results through data scientists or professional services teams are also crucial. Excellent communication skills, self-motivation, proactive problem-solving abilities, and the capability to work both independently and in teams are vital for this role. While a Bachelor's or Master's degree in technology-related fields is preferred, possessing relevant experience in Software Engineering or Data Science is mandatory. Additionally, familiarity with AI frameworks, deep learning, computer vision, and cloud services along with proficiency in Python, SQL, Docker, and versioning tools are highly desirable. The ideal candidate will also have experience with Agent Framework, RAG Framework, AI algorithms, and other relevant technologies as mentioned in the job description.,

Do you have strong analytical skills Are you familiar with statistical concepts and able to transform data into bespoke content Do you want to help expand the data platform within the Data Confidentiality Protection organization at UBS We are looking for a data and reporting analyst to provide data analysis and investigations for various business, risk, and senior management topics. Your responsibilities will include creating and consolidating relevant reporting and analytics, interacting with data source owners, advising on data remediation, drafting meeting minutes and action plans, and tracking the closure of action items. Additionally, you will be required to develop and maintain relationships with stakeholders and control functions, handle queries and escalations from different business divisions, and demonstrate strong investigative and analytical skills while being a team player. In this role, you will be part of a global team that manages and performs controls related to Data Protection under the Data Protection Confidentiality shop within the Group Technology, TISO. The team's main focus is to detect, identify, and protect Client Identifying Data (CID) stored within the bank's software components and applications in compliance with international legal requirements and UBS policies. To be successful in this position, you should ideally have 6+ years of relevant experience in data analysis operations or platform data. Strong analytical skills are a must, and knowledge of databases such as Azure, Oracle, MSSQL, and Sybase would be advantageous. Experience with tools like Alteryx, SQL queries, and MS Office is also beneficial. You should be self-driven, detail-oriented, have a good understanding of the banking industry, and possess excellent communication and collaboration skills. Fluency in English is required to collaborate effectively with multinational teams. UBS is the world's largest and only truly global wealth manager, operating through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in over 50 countries and all major financial centers, we offer opportunities for growth, a supportive team environment, and flexible working options. Our inclusive culture values diversity and teamwork, recognizing that great work is achieved through collaboration. We are committed to disability inclusion and provide reasonable accommodations throughout the recruitment process. If you are interested in joining UBS and being part of a dynamic team that values its people, their diverse skills, experiences, and backgrounds, we encourage you to apply. Our commitment to empowering individuals and fostering an inclusive work environment is at the core of our values. If you require any accommodations or adjustments during the recruitment process, please feel free to contact us.,

Do you have strong analytical skills Are you familiar with statistical concepts and able to transform data into bespoke content Do you want to help us expand our data platform We're looking for a data and reporting analyst in the Data Confidentiality Protection organization to provide data analysis and investigations for the Data Confidentiality Protection business, risk, and senior management topics. Your responsibilities will include creating and consolidating relevant reporting and analytics, interacting with data source owners, advising on the remediation of misplaced data, drafting meeting minutes and action plans, and tracking the closure of action items. Additionally, you will be expected to develop and maintain an effective network of relationships with stakeholders and control functions, handle queries and escalations from various business divisions, demonstrate strong investigative and analytical skills, and exhibit a team player ethic. You will be working in a global team that manages and performs controls related to Data Protection within the Data Protection Confidentiality shop, embedded within the Group Technology, TISO. The primary focus of the team is to detect, identify, and protect Client Identifying Data (CID) stored within the bank's software components and applications in accordance with international legal requirements and various UBS policies. Ideally, you should have 5+ years of relevant experience working in data analysis in operations data or platform data. Strong analytical skills are a must, and knowledge of databases such as Azure, Oracle, MSSQL, and Sybase would be a plus. Experience with Alteryx, SQL queries, and MS Office is an added advantage. You should be self-driven, focused on details, and possess a sound understanding of the banking industry. Strong communication skills, a collaborative personality, and the ability to complete tasks independently are essential. Fluency in English is required to collaborate with multinational teams. UBS is the world's largest and the only truly global wealth manager operating through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in all major financial centers in more than 50 countries, UBS stands out due to its global reach and expertise. If you're interested in joining us, at UBS, we value our people with diverse skills, experiences, and backgrounds, driving our ongoing success. We offer new challenges, a supportive team, growth opportunities, and flexible working options whenever possible. Our inclusive culture brings out the best in our employees at all stages of their career journey. Collaboration is central to our approach because together, we are more than ourselves. UBS is committed to disability inclusion, and if you require reasonable accommodations throughout our recruitment process, feel free to contact us. As an Equal Opportunity Employer, we respect and seek to empower each individual, supporting diverse cultures, perspectives, skills, and experiences within our workforce.,

At Teradata, you will play a crucial role as a Sr. Data Scientist by collaborating with the Region Solution Leads, Services sales teams, Teradata Account Teams, and Product Management Team to support them on pre-sales/solutions activities. Your responsibilities will include conceptualizing Use case solutions, supporting Pre-Sales initiatives, and demonstrating strong technical and interpersonal skills along with a deep understanding of Business use cases, Teradata technology, ClearScape Analytics, Teradata applications, Teradata services portfolio, and partner solutions. You will be expected to support account teams and prospective customers in analyzing and understanding customer requirements through extensive data exploration and analysis phases. Additionally, you will lead discussions and conceptualize solutions, develop collateral for engagement and sales, utilize Analytical tools and Deep Learning frameworks to deliver solutions, participate in brainstorming sessions, build solution showcases, and provide mentoring and guidance to Pre-sales opportunities based on customer requirements. As a qualified candidate, you should hold a minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science, or Statistics, preferably a Masters or Doctorate in the relevant field. You are required to have 10+ years of experience in data-driven fields such as BI, DWH, Analytics, etc., with proficiency in programming languages like R, Python, Java, and SQL. A strong understanding of Statistical concepts, Machine Learning, statistical modeling, Artificial Intelligence, Deep Learning, and business understanding in fields like Telco, Retail, Manufacturing, Healthcare is essential. Your technical skill set should include experience with cloud computing platforms like Azure, AWS, Google, exposure to Teradata platform, and experience as a Technical Lead in presales support and delivery activities. You should possess a willingness to learn, collaborative attitude, strong analytical skills, ability to manage critical situations independently, story-building skills, critical thinking, problem-solving skills, excellent communication skills, and the ability to present complex ideas to technical and non-technical audiences effectively. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are dedicated to Diversity, Equity, and Inclusion. Join us in fostering an equitable environment that celebrates the diversity of our people and enables personal and professional growth.,

As a Business Analyst at PhonePe Limited, you will play a crucial role in the pod strategy by defining critical metrics, monitoring performance trends, and influencing interventions based on performance. You will collaborate closely with the business and product functions to understand the business problem and translate them into the right analytical problem statements. Your responsibilities will include owning the insight generation phase, conducting deep and thorough analysis to provide unbiased answers, and presenting evidence-backed data-driven hypotheses to influence decisions. In this role, you will move beyond being just the "Data person" and contribute with individual thoughts on improving critical metrics for the pod. As an integral part of the team, you are expected to act as the analytics and visualization subject matter expert, ensuring that dashboards are designed and built in a way that facilitates easy consumption of data by the pod. Additionally, you will be responsible for mentoring other analysts in the team, actively participating in the hiring process, and assisting in the onboarding process of new team members. To excel in this position, you should possess a minimum of 4 years of analytics experience in relevant roles, strong problem-solving and analytical skills, and a penchant for business with curiosity to understand how products work. Proficiency in writing complex SQL queries to manipulate and consolidate multiple data sources for dashboarding and analysis is essential. You should have an intuition for data, the ability to handle big data sources, and a strong working knowledge of Excel and visualization tools like PowerBI, Tableau, and QlikView. Knowledge of data-analysis languages such as R, Python, and core statistical concepts is expected. Experience in building ML models is advantageous but not mandatory. Effective communication skills, both verbal and written, are crucial, and candidates who can articulate the story behind their analysis will have an advantage. Joining PhonePe as a full-time employee comes with a range of benefits, including insurance coverage (medical, critical illness, accidental, life), wellness programs, parental support programs, mobility benefits, retirement benefits, and other perks like higher education assistance, car lease, and salary advance policy. If you are a first-principle problem solver who is passionate about working with data and eager to uncover insights that drive business growth, PhonePe is the place for you to bring your best self to work every day and contribute to building platforms that impact millions.,

You are a boutique data analytics consultancy specialized in Health Economics and Outcomes Research (HEOR), pricing, and market access. Your clientele includes pharmaceutical and medical device companies, as well as midsize and large consultancies worldwide. Your dedicated team of expert health economists and systematic reviewers ensures the delivery of high-quality work within specified timelines. In this role, your key responsibilities will involve conducting statistical analysis necessary for submissions to HTA agencies like NICE and PBAC. You will be responsible for developing proposals, project reports, and various deliverables for clients. Your tasks will also include designing, analyzing, and interpreting data utilizing a diverse range of statistical approaches and relevant software. Furthermore, you will review study plans, reports, and presentations, ensuring adherence to Skyward's best practices. You will be expected to identify and develop methodologies, strategies, and findings in reports and presentations. Developing and executing statistical analysis plans (SAP) for clinical trial data using R or SAS is a crucial aspect of your role. Your duties will also involve digitizing and performing parametric survival analysis using Kaplan-Meier data from publications and clinical trials. You will conduct indirect treatment comparisons and Network Meta-Analyses (NMA) as required. Additionally, you will provide support to the health economic modeling team and offer writing assistance for publications based on statistical analyses. Effective communication is key in this role, as you will be required to articulate detailed technical reports of the analysis performed both verbally and in writing. Maintaining clear and timely communication with clients and internal project teams is essential for project execution efficiency. To be successful in this position, you should possess a minimum of 4 years of experience in Health Economics and Outcomes Research (HEOR) and hold an MS or PhD in Statistics or a relevant field. Proficiency in health technology assessment (HTA) submissions, advanced programming skills in R, and a solid understanding of key statistical concepts and techniques are prerequisites for this role.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

The Manager Process Excellence (Black Belt) plays a crucial role in facilitating process/performance improvement activities and enhancing quality scores by utilizing Lean Six Sigma methodologies. In this position, you will collaborate closely with the senior manager on a variety of projects aimed at driving automation, enhancing processes/quality, promoting standardization, developing SOPs, and boosting customer satisfaction. Your primary responsibilities will include leading a small team of analysts for different projects, working in conjunction with senior managers, process owners, and subject matter experts to define improvement goals and areas for enhancement. You will be responsible for tasks such as data collection, performance analysis, and monitoring project progress to ensure timely and successful completion. Additionally, you will be required to facilitate resolution for dependencies and conflicts, provide regular updates to the Leadership group, and develop strong working relationships with various stakeholders. To excel in this role, you must possess a Bachelor's degree (Masters/MBA preferred) along with Black Belt certification (external certification from an approved training program is preferred). You should have at least 4 years of experience in change management, project management, continuous performance improvement, or data analysis, particularly within the service industry. Proficiency in statistical software (e.g., Minitab, SPSS), MS Office tools (Power Point, Excel, Access, Word), and strong leadership skills are essential for this position. Furthermore, you must demonstrate a willingness to learn new skills, drive positive changes through cooperation and collaboration, and exhibit strong analytical, critical thinking, and problem-solving abilities. Excellent communication skills, both verbal and written, are crucial as you will be interacting with C-level executives and board members. Overall, your ability to lead improvement initiatives independently, facilitate training sessions on Lean/Six Sigma methodologies, and drive continuous improvement initiatives will be key to success in this role.,

The Process Excellence Manager (Black Belt) position at Asian Hires in Vadodara, Gujarat, India, reports to the Senior Manager of Process Excellence (Master Black Belt) within the Operations department. As the Manager of Process Excellence, your primary responsibility will be to facilitate process and performance improvement activities by utilizing Lean Six Sigma methodologies. You will collaborate closely with senior management on projects aimed at enhancing automation, standardization, SOPs, and customer satisfaction to drive operational efficiency and quality. Your role will involve leading a team of analysts, working with stakeholders to define improvement goals, collecting and analyzing data, monitoring project progress, and ensuring timely completion. You will also be tasked with resolving conflicts, providing regular updates to the Leadership group, and fostering strong relationships with various stakeholders to communicate findings effectively. To excel in this role, you should possess a Bachelor's degree (Masters/MBA preferred) along with Black Belt certification and experience in change management, project management, or data analysis. Proficiency in statistical software and MS Office tools is required, along with the ability to lead improvement initiatives independently and conduct Lean/Six Sigma training sessions. Strong communication, leadership, and problem-solving skills are essential, as well as a proactive attitude towards continuous improvement and collaboration in a fast-paced environment. In summary, the Process Excellence Manager (Black Belt) role at Asian Hires offers a dynamic opportunity to drive process improvement initiatives, lead a team of analysts, and contribute to the organization's overall performance and quality objectives through the application of Lean Six Sigma methodologies.,

As a Fresher Developer, you will have the opportunity to join our dynamic team and contribute to the design, development, testing, and deployment of software applications. Your responsibilities will include writing clean, efficient, and maintainable code, participating in code reviews, troubleshooting and debugging issues, and collaborating closely with team members to deliver solutions that meet project requirements. Additionally, you will be expected to stay updated with the latest industry trends and technologies. To excel in this role, you should have proficiency in programming with a strong grasp of core concepts, excellent problem-solving skills, and a strong knowledge of statistical concepts and techniques. Your communication and presentation skills will be essential in effectively collaborating with team members and contributing to the continuous improvement of our codebase. The ideal candidate will hold a Bachelor's degree in computer science or a related field. This is a full-time position with a salary package of 4 LPA, suitable for individuals with 0-1 year of experience. The work location is in-person, with a day shift schedule. A Bachelor's degree is preferred for this role.,

The role requires you to work from the office and involves monitoring business performance and operations. You will be responsible for problem-solving by applying various analytics levers and collaborating with different teams working on ML models, SQL rules, hospital profiling, pattern mining, etc., to achieve client savings targets. The Analytics team serves as both the R&D and operational excellence team, continuously exploring new patterns through cutting-edge technologies ranging from SQL queries to large language model (LLM) agents. Your responsibilities will include designing data-driven solutions and frameworks (descriptive and predictive) from scratch, providing leadership consultation on potential solutions, storyboards, and POCs. You will drive business metrics contributing to top-line growth and/or profitability, perform quantitative and qualitative analyses including raw data analysis and deep dives to derive insights, and develop descriptive to prescriptive analytics for business monitoring and operational excellence. Additionally, you will translate data insights for business stakeholders to effectively communicate and provide relevant business context. You will also apply next-gen technologies across the analytics lifecycle, managing tasks like data extraction, exploratory data analysis, data mining, information extraction from unstructured data, and visualization/storyboarding. Furthermore, you will oversee a small team of data analysts. The ideal candidate should possess at least 7 years of experience in strategy and business optimization, along with a post-graduate degree or MBA (preferred) or a graduate degree in Engineering, Mathematics, Operations Research, Science, or Statistics. Experience in the healthcare industry is preferred, as well as a solid background in analytics using tools like SQL, SAS, Python, basic statistical concepts, and data analysis for interpreting results for the business. You should have the ability to translate and structure business problems to deliver technical solutions, proven experience in a fast-paced environment supporting multiple concurrent projects, and a collaborative, team-oriented approach with a willingness to take on various projects. A strong desire to work in a fast-paced environment is essential. The ecosystem you will be operating in includes massive data assets with millions of structured data records and thousands of unstructured records processed monthly, tech investments in on-prem GPUs, Azure, AWS, Databricks, and On-prem Hadoop-Hive environments, a strong leadership push towards digitization, data-led decision-making, and AI, as well as an Analytics Team comprising 100+ data enthusiasts, decision scientists, and business/subject matter experts.,