553 Statistical Analysis Jobs - Page 22

ML Engineer Experience: 0 - 2 Years Exp Salary : INR 10-12 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Algorithms, Cnn, Data Structures, Machine Learning, Ml frameworks, Statistical analysis Good to have skills : Start-up Experience Leegality (One of Uplers' Clients) is Looking for: ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What you'll do As an ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Requirements - Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Exposure to generative AI (LLM) based ML architectures Experienced in working with CNN. Knows how to train and fine-tune CNN-based models. Documenting machine learning processes. Requirements: 1+ years of relevant experience in Machine Learning Engineering. Advanced proficiency with Python. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Preferences: Start-up experience is good to have. Willing to join immediately, ideally. Female candidates are preferred Interview Process - Technical Round 1 Assessment Technical Round 2 Round 3 - with the Tech Lead How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Leegality is a category defining company. With Leegality, Indian businesses can remove the paper from their paperwork About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

we're hiring a Staff Scientist for Uber s Direct, Connect, and Grocery Delivery team three of the company s fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime. In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber s delivery platforms. you'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights ensuring every decision is grounded in rigorous, data-driven thinking. we're looking for someone with deep analytical expertise and a strong business mindset an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products. What you'll Do: Serve as Science Tech Lead (IC) for a team based in India, supporting Uber s Direct, Connect, and Grocery Delivery business. Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences. Translate complex data into actionable insights for executives and cross-functional stakeholders. Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap. Mentor scientists and promote best practices in data science and machine learning. Foster a culture of scientific rigor and strong cross-functional collaboration. What you'll Need: Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment.

About the job Enovix (Nasdaq: ENVX) is an advanced silicon battery company based in Fremont, Calif. Enovix is on a mission to power the technologies of the future. Everything from IoT, mobile and computing devices, to the vehicle you drive, needs a better battery. Our disruptive architecture enables a battery with high energy density and capacity without compromising safety. We are scaling our silicon-anode, lithium-ion battery manufacturing capabilities to meet customer demand. Responsibilities: Lead process development to improve battery performance to meet final product performance and reliability requirements. Design and run well-designed experiments based on DOE methodologies. Perform battery physical characteristic analysis and extract critical insights. Effectively collaborate with colleagues around the world - in California, India, Korea and Malaysia. Perform FMEA and root cause analysis. Effectively communicate the results to various stakeholders. Qualifications: BS, MS, or PhD in Chemical Engineering, Materials Science Engineering, Physics, Chemistry, Mechanical Engineering or related field with 2+ years industry experience. Strong knowledge of battery chemistry and physics is desirable. Experience working with battery testers or related electronics is a plus. Experience with using leading-edge battery and/or semiconductor material characterization techniques to drive failure analysis, understand degradation mechanisms, or improve yield. Experience with statistical analysis methods to drive experiment design and conclusions. Demonstrated capability to effectively analyze process data and extract/summarize meaningful information. Familiarity with SPC, DOE, FMEA and 8D methodologies. Enovix is an equal opportunity employer

As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

As the Lead Data Scientist at Siemens Advanta, you will play a pivotal role in driving data-driven decision-making and leading the development and implementation of advanced analytical models. You will work closely with cross-functional teams to identify business challenges, design data-driven solutions, and provide actionable insights to optimize processes and drive innovation. We are looking for: Lead AI Engineer Youll make a difference by: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise. Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Should have working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. Should have hands-on experience in Forecasting using traditional ML and Deep Networks Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Should understand CI/CD processes in product deployment and used it in delivery. Should have an understanding of the Dockerization, REST APIs Working knowledge on software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Youll win us over by 8+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in languages such as Python, R, or C++. Exposure to the industrial engineering domain is preferred. Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. Proficient in the use of data science tools Excellent analytical/statistical skills. Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

Job Title: Data Analyst Experience: 5 8 Years Location: Bangalore (BLR) Notice Period: Immediate to 15 Days Job Summary: We are looking for a seasoned Data Analyst with 5–8 years of professional experience to join our analytics team in Bangalore. The ideal candidate will have strong technical expertise in SQL, Python, data visualization tools, and statistical analysis. You will play a crucial role in uncovering insights that drive strategic business decisions. Key Responsibilities: Analyze complex datasets to extract actionable insights aligned with business objectives. Build, optimize, and maintain dashboards and reports using BI tools. Write complex SQL queries for data extraction, transformation, and reporting. Apply statistical techniques to identify trends, patterns, and anomalies. Collaborate with product managers, engineers, and other stakeholders to define metrics and KPIs. Automate data workflows and streamline reporting processes. Present findings and recommendations to senior leadership in a clear and concise manner. Mandatory Technical Skills: SkillDescription SQL Advanced query writing, joins, aggregations, window functions Python Data manipulation with Pandas, NumPy; basic scripting; data visualization Data Visualization Hands-on with Power BI , Tableau , or LookerExcel Advanced functions (VLOOKUP, pivot tables, macros) Statistics Hypothesis testing, regression, forecasting ETL/Data Pipelines Understanding of data ingestion and transformation processes Cloud (Preferred) Basic knowledge of AWS/GCP/Azure data services Preferred/Bonus Skills: R for statistical computing Experience with big data tools (Spark, Hive) Exposure to A/B testing and predictive modeling Familiarity with data warehousing concepts and tools like Snowflake or Redshift Experience working with version control (Git) and Agile methodologies

We are looking for a skilled professional with 8 to 12 years of experience to join our team as an Assistant Director/Manager - Service Excellence in Bengaluru. The ideal candidate will have a strong background in problem-solving and driving change through technology. ### Roles and Responsibility Develop and implement process improvements to enhance service excellence and efficiency. Manage business stakeholders across different levels, building strong relationships and ensuring seamless project delivery. Conduct assessments of current processes to identify improvement and automation opportunities, creating an automation and transformation roadmap. Collaborate with various functions to ensure system solutions meet functional requirements. Present data, share analysis, and gain stakeholder concurrence on actions for assigned processes. Set up lagged and leading indicators for measurement within the system, building and driving calibration models to standardize onshore and offshore processes. Demonstrate skills in data cleansing, data quality assessment, and using analytics for data assessment. Participate in continuous improvement initiatives (KAIZEN) and other quality-related initiatives to spread quality awareness. Deploy consulting best practices, knowledge, and techniques when undertaking work. Perform rapid assessments of client landscapes, providing insights around hypotheses and solutions. ### Job Requirements Strong experience in problem-solving and driving change through technology. Total experience between 8-12 years, including managing or supporting workstreams/project initiatives in large-scale transformation projects. Knowledge of Business Process Re-Engineering, Six-sigma concepts of DMAIC, Project Management, and all related tools. Experience in mentoring and implementing projects, along with expertise in creating, reviewing, and closing projects. Well-versed with contemporary technologies such as RPA, Machine learning, Artificial Intelligence, and Analytics. Experience in process due diligence and diagnostics, building solutions, and restructuring processes. Assertive, strong orientation towards statistical analysis, good team player, and willingness to lead teams not reporting into them. Ability to set up metrics for measurement in the system and build and drive calibration models. Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment. Should have taken part in Continuous improvement initiatives (KAIZEN) and other Quality-related initiatives to spread quality awareness. Excellent communication skills, result-oriented, self-driven person with a high energy level, analytical and structured with extensive experience in managing a high-performance team. Knowledge of statistical tools. Knowledge of data science and exposure to decision science projects. Knowledge of business analytics tools like Tableau, PowerBI, or similar tools. Exposure to agile framework. Exposure to Design Thinking framework. Exposure to latest AI/Gen AI tools. Implement visualization concepts. Expertise in building reports and deriving intelligence from them.

Looking to onboard a skilled Reporting & Analytics Lead with 15 to 20 years of experience to oversee the data and analytics operations within our Unified Support Services (USS) Function. The ideal candidate will have a strong background in data management, analytics methodologies, and the ability to translate complex data into actionable business strategies. ### Roles and Responsibility Develop and implement a comprehensive data and analytics strategy aligned with the USS objectives. Lead and manage a team of data analysts, data scientists, and other data professionals, providing guidance and mentorship. Oversee the collection, storage, management, quality, and protection of data. Drive the adoption of analytics tools and data-driven decision-making across the organization. Collaborate with IT and business stakeholders to ensure seamless integration of data systems and analytics solutions. Design and monitor key performance indicators (KPIs) to measure the effectiveness of data and analytics initiatives. ### Job Requirements Proven leadership experience in a data and analytics role. Strong understanding of data management principles, data architecture, and analytics platforms. Expertise in statistical analysis, predictive modeling, and data visualization techniques. Excellent communication, collaboration, and project management skills. Ability to lead and inspire a team in a fast-paced and evolving environment. Over 15 years of experience in IT support services, with significant leadership experience in managing large-scale operations. Strong understanding of ITIL service management frameworks with relevant certifications. Demonstrated experience in driving service improvement and innovation in a complex, multinational organization. Excellent communication, negotiation, and interpersonal skills, with the ability to engage effectively with all levels of the organization and external partners. Strategic and analytical thinker with robust problem-solving skills. Demonstrates an in-depth knowledge of how IT reporting & analytics solutions support customer fulfillment and productivity to achieve short- and long-term business goals Applies a deep understanding of Service desk and Onsite support services needs to identify critical outcomes, barriers to success, and changes in expectations or scope Ability to build and maintain relationships with key leadership, building business acumen and linking business needs Ability to defuse difficult conversations while maintaining confidence, transparency and trust Uses in-depth knowledge of business/clients/industry, professional organizations, market trends and legislation to identify key issues and trends and make recommendations Possess innovative mindset by being open to new ideas and promoting team members to think differently

The RPA Developer will play a crucial role in designing, developing, and deploying machine learning models and RPA solutions to address complex business challenges and opportunities. This position requires a deep understanding of financial systems, accounting, and planning processes, as well as strong analytical and problem-solving skills. The RPA Developer will collaborate with cross-functional teams to identify automation opportunities, optimize business processes, and deliver data-driven solutions that enhance operational efficiency and reduce manual errors. Responsibilities: Design, develop, and deploy machine learning models to address business challenges and opportunities. Implement RPA solutions to automate repetitive tasks, improve operational efficiency, and reduce manual errors. Collaborate with cross-functional teams to understand business requirements, identify opportunities for automation and optimization, and deliver data-driven solutions. Understand organization technological capabilities to identify opportunities to optimize functionality across teams. Participate in special projects involving the enhancement and upgrade of financial systems as well as integrations related to business combinations and new application implementations, which includes strategic development of technology enhancements, end user support, system troubleshooting, testing, and training activities, all aimed at business process and system optimization. Provide training and support to end-users to facilitate self-service integration capabilities. Work closely with local and global IT, local and global Process Owners and other support teams that maintain data or monitor system accessibility to end users. Conduct thorough End to End testing of automated solutions to identify and rectify any errors or inefficiencies. Maintain proper documentation for automated solutions, test procedures, and scenarios. Regularly assess and enhance existing automation processes to optimize efficiency and adapt to evolving business requirements. Develop and maintain a robust RPA governance framework to ensure compliance with organizational policies and standards. Ensure the scalability and reliability of RPA solutions to support business growth and transformation. PowerBI and other report automation Knowledge of Power Automate Familiar with IQ Bot with Automation Anywhere. Stay up-to-date with the latest industry trends and technologies Required Qualifications: Bachelors degree in Computer Science or a related field. Hands-on experience with Robotic Process Automation (RPA) tools such as Automation Anywhere. Solid understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Understands different RPA tool capabilities to solve problems during development and deployment. Exposure to financial systems and understanding of financial processes. Proficiency in SQL and database management. Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment. Strong communication and interpersonal skills, with the ability to present complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with other automation tools and frameworks. Certification in RPA, Snowflake, MySQL or Power BI. Prior experience with Oracle Fusion ERP Cloud Application. Knowledge of security and compliance standards related to financial and healthcare data is desirable.

Developing, optimising and improving manufacturing processes to enhance productivity, quality and safety. Identifying and implementing process improvements to reduce costs, minimise waste and increase efficiency. Collaborating with cross-functional teams to ensure smooth integration of new processes, technologies and equipment. Monitoring and analysing process data, identifying trends and proposing solutions for process improvement continuously. Performing process capability studies, statistical analysis and data-driven decision-making to achieve operational excellence and meet production targets. Ensuring compliance with safety, environmental and regulatory requirements in all process engineering activities. Required Skill Set / Keywords : API/ Intermediate and Multi product manufacturing Candidates Location: Gujrat, Maharashtra

The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help drive business decisions. They should have strong analytical skills, proficiency in data visualization tools, and the ability to communicate insights effectively. Collect, clean, and analyze large datasets to identify trends and insights. Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel. Work closely with different teams to understand data requirements and provide actionable insights. Perform statistical analysis and predictive modeling to support business strategies. Ensure data accuracy, consistency, and security in compliance with company policies. Present findings and recommendations to stakeholders in a clear and meaningful way. Basic knowledge of Python Strong proficiency in SQL, Excel, and data visualization tools (Power BI/Tableau). Experience with Python or R for data analysis (preferred). Strong analytical and problem-solving skills. Ability to communicate insights effectively to both technical and non-technical stakeholders. Knowledge of data cleaning, transformation, and reporting best practices. Education- Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.

A Data and Machine Learning Specialist is responsible for managing, analyzing, and leveraging data to drive business insights and develop predictive models. This role combines elements of data science, data engineering, data management, and machine learning to ensure data-driven decision-making and innovation. Responsibilities: Data Collection & Management: Gather, clean, and organize data from various sources to ensure its accuracy and accessibility. Data Analysis: Utilize statistical methods and machine learning tools to analyze data and uncover trends and patterns. Pipeline Development: Design and maintain efficient data pipelines and architectures to facilitate seamless data flow. Model Development: Create, test, and optimize machine learning models and algorithms to solve complex problems. Reporting & Visualization: Present findings through detailed reports and visualizations to communicate insights effectively. Collaboration: Work closely with cross-functional teams, including software engineers, data scientists, and business analysts, to implement data-driven solutions. Performance Optimization: Continuously improve data delivery, scalability, and model performance. Documentation: Maintain thorough documentation of processes, models, and results. Requirements: Bachelors or equivalent degree with over 5+ years of experience and proficiency in programming languages such as Python, SQL. Strong knowledge of cloud platforms like AWS, Google Cloud, or Microsoft Azure. Experience with data visualization tools and techniques. Solid understanding of machine learning algorithms and statistical analysis. Excellent problem-solving skills and attention to detail. Ability to collaborate effectively with diverse teams.

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Analytics Lead to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will lead the analytics and insights efforts for one of the Amazon Music product teams. You will set the analytics roadmap and direction for the domain and work with stakeholders and partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. The ideal candidate must be willing to effectively lead analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. Key job responsibilities - Working with product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions. - Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through . - Join large and growing BI/ Science team to leverage extensive music listening to better understand customers and contribute to product and marketing strategy. - Defining and developing tests to identify the best way to reach, convert, and retain customers. - Reporting to senior leadership and the team at large, on customer, product and customer insights and trends. - Proactively developing new metrics and studies to quantify customer behavior. - Combining online web customer behavior and offline customer attributes to gain novel and strong understanding of Digital Music customers. - Quickly build a thorough understanding of the Digital Music industry, its seasonality and global business trends and continually monitor the impact of important industry developments. - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership

Amazons WHS Central Programs team (IN) is seeking a skilled and motivated Program Manager to assist in the tactical management and execution of the WHS programs worldwide. This provides an opportunity to join a team that is continuously evolving and growing. Team works on WW WHS programs to drive injury prevention, risk management, OSHA Compliance. Program Manager, WHS will build processes and work with the program team across geographies and market places. We are looking for a strong leader who is passionate about managing projects, developing scalable solutions, driving process improvement, and can work with multiple teams. The leader will be responsible for partnering with the WW WHS team, operations team, and tech partners for the execution of the program. By leveraging lean mechanisms and Kaizens, this individual will build processes to drive continuous improvement initiatives to ensure risk management that impact the site operations and create a safe, healthy, and engaging working environment for our Associates. The person needs to work with Senior leaders to create and achieve the WHS vision in alignment with Amazon s global standards, policies, and procedures. The program manager must be an effective communicator and send clear, concise, and consistent written and verbal messages. The person will be required to identify best practices and incorporate these best practices into our standards to continuously improve the processes. The person must possess excellent program management skills, a relevant Operational & Safety background and knowledge in Safety and EHS regulatory standard requirements. The individual must have the ability to work with cross-functional teams, including senior leadership in across the globe. We are willing to consider candidates for on-site positions in Bengaluru, India Key job responsibilities Key job responsibilities Possess a thorough understanding of WHS Global / federal regulations and data analytics. Analyze WHS metrics and review incident trends and develop technical insight report. Propose solutions towards WHS programs and process simplification. Audit recordkeeping practices, AUSTIN entries to ensure compliance to global WHS standards and regulations. Partner with Cross functional leaders to secure resources, scope efforts, set project priorities and milestones, and drive delivery. Help internal WHS team to determine where to iterate to make improvements. Responsible for organizing/collecting data, writing PR/FAQs and other strategic program documentation (e.g., Technical Whitepaper, WBR, MBR etc.). Oversee a program roll-out process, including shepherding testing, and other WHS program launch efforts. Manage post-launch support plans (e.g., post-mortem, issue/ticket management, possibly COEs). Drive program innovation / simplified mechanism for existing projects and look for opportunities to improve system quality and operational excellence. Complexity: Defines performance reporting processes to track and monitor WHS metrics and quality of deliverables for projects and BU goals. Develops Standard Operating Procedures and Process Map Visuals by identifying key opportunity areas to minimize the injuries occurring in sites by studying the injury themes and patterns. Finds scalable and quick solutions to deliver changing stakeholder requirements as per update in WHS regulations. Provide high level insights through complex data and statistical analysis for MBR. Develop Whitepapers to propose injury reduction initiative and work with Program/Ops team to pilot and deploy projects. Influence: Communicates effectively to align team members with stakeholder requirements. Earns trust of stakeholders by making recommendations on process by challenging the status quo and improving them. Lead & influence independently without authority to ensure on-time delivery from peers. Works on escalation responses from WHS field teams, provides strategic insights by doing complex analysis to help WHS Programs leaders take better decision Impact: Drives process improvements by capturing gaps and proposing/developing solutions or mechanisms to bridge them. Impacts WHS Central Programs team goals and project related metrics. - 5+ years of program or project management experience - 3+ years of working cross functionally with tech and non-tech teams experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Bachelors degree in science, engineering or equivalent. - Excellent computer skills for use of digital tools for project management, document control and data visualization (Advanced MS Excel, Sharepoint, Quicksight) - Strong verbal and written communication skills. - Experience defining program requirements and using data and metrics to determine improvements - Masters degree in analytics or equivalent Lean Principles, Six Sigma Certification

Tax Industry/Sector Management Level Senior Manager & Summary At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decisionmaking for clients. Why PWC & Summary As Sr. Java Engineer with experience up to 10 years, you will be responsible for providing technical solution to Business problem. You will be closely work with business team during requirement gathering and further working with Vendors teams to develop a solution. You will need to review, design and approach from vendor team and ensure they deliver product with right quality on right time and with optimum cost. You will also be required to develop and deliver modules independently. As our aspiration is to remain always on the cutting edge of technology, you will also help us in doing POCs on emerging technologies. Handson designing, building, and maintaining a microservice based applications. Have worked on diverse stack like Java, Python, PySpark and various frontend frameworks like Angular, React and databases like Mongo, MySQL etc. Strong knowledge of containerization (Docker), orchestration (Kubernetes) and CI/CD. Passionate and interested in AI/ML technologies and cloud infrastructure Should have experience of 48 years in microservices development and deployment. Hands on knowledge on various cloud platform AWS, Azure Experience of working on multiple modules Ability to multitask across different tracks Proven experience in design, architecture review and Impact Analysis of Technical changes. Proven experience in working with large teams Excellent presentation and communication skills Excellent Interpersonal Skills Well versed with the emerging Technology Trends Working experience of Big Data technologies, Generative AI and Data Platform will be a big plus. Mandatory skill sets Java Engineer Preferred skill sets Java Engineer Years of experience required 10 to 1 5 Yrs Education qualification B.Tech / M.Tech Education Degrees/Field of Study required Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Optimism, Professional Courage, Rapid Experimentation, Relationship Building, Scenario Planning, SelfAwareness, Service Excellence, Statistical Analysis {+ 9 more} No

The PMR manager will support decision making across the organization adding value as a functional expert in designing innovative research approaches to answer key business questions and support growth by leading the development and execution of primary market research. Proactively combining information from different sources, mainly market research, to evaluate brands performance and market trends using innovative statistical analysis techniques. Evaluating the success of marketing initiatives through market research with significant focus on ensuring tight alignment with global brand teams and country insights teams. Key Responsibilities: Drive innovation and capability building, including new techniques, data sources, automation and Al to enhance process efficiency and value of Insights. Very strong functional leader, with the ability to influence across senior leaders in Novartis Understands brand teams perspectives (objectives, priorities, and support/capability requirements) Lead experimentation and worldwide adoption of innovative PMR solutions Consistently monitor execution of PMR projects to support performance and growth of key brand strategies across Novartis Design and execute primary market research to surface and deliver insights to brand teams Establish expectations and approaches to better understand and impact patient journeys Drive a continuous improvement mind-set within the team in relation to data analysis Plan and design market research analyses based on a sound understanding of the research tools, techniques, datasets, and resources available and their use at various stages of the product life-cycle Provide effective guidance to planning of studies, including research material design Input and guide report structure to illustrate complex analysis in user friendly and easy to digest way Provide alternative proposals/different approaches and suggestions for optimization of approach and synergies with other studies executed or planned Implement and execute studies on local, regional & global level Design and implement new statistical methodologies, processes and/or solutions to strengthen current research practices Assist with delivery of financial targets for PMR Meet KPIs tied to performance to contribute to overall financial and department success Essential Requirements: 10+ years previous work in market research / specialist agencies Significant experience of managing multi-methodology market research projects encompassing multi-markets Experience in working across regions and within a commercial, primary market research team and the ability to work with a cross-functional team in a matrix environment. Project management - scoping, defining deliverables, business case development and reporting at a senior level including the ability to communicate effectively and to have a persuasive and credible presentation style Strong business acumen and solution-orientation mindset including budget and P&L management Experience in remote relationships (on-shore/off-shore capability delivery). Preferred: Knowledge of the disease areas within the Pharma sector, with strong leadership and communication skills University degree BA/BS/MA degree in business, statistics/mathematics, medicine, sciences, health economics, sociology, psychology.

: We are seeking talented and highly motivated Data Scientists to join our dynamic team. As an entry-level data scientist, you will play a critical role in analyzing data, developing, and testing AI/ML models, and delivering valuable insights to drive data-informed decisions. : Collect, clean, and process large datasets from multiple sources Develop and test advanced machine learning algorithms and models to solve problems in a computationally efficient and statistically effective manner Analyze and interpret data to identify trends, patterns, and insights by executing statistical and data mining techniques Visualize data and present findings to stakeholders Collaborate with cross-functional teams to identify business problems and develop data-driven solutions Communicate project progress and results to relevant stakeholders Stay up to date with the latest data science techniques and tools : Currently enrolled in a Bachelors program in Computer Science, Statistics, Mathematics, or a related field Should have relevant project work and/or internships with proven implementation of data science concepts Proficient in Python and must know about libraries like (Pandas, Scikit-Learn, , Matplotlib, TensorFlow, etc.); SQL, R is a plus Good understanding of data manipulation, statistical analysis, and machine learning algorithms concepts Ability to work independently and manage multiple tasks simultaneously Strong attention to detail, with a research-focused mindset. Excellent critical thinking and problem-solving skills Excellent communication - should be able to describe findings to a technical and non-technical audience Familiarity with data visualization tools such as Tableau or Power BI is a plus High motivation and good work ethic is a must

Job Title: Research Associate Mathematics (PhD) Location: Talegaon Dabhade, Pune Employment Type: Full-time Organization: Labtech Innovations About Labtech Innovations: Labtech Innovations is a premier organization dedicated to promoting cutting-edge research, innovation, and intellectual property development. We specialize in research consultancy, academic publishing, patent support, and collaboration with academic institutions, research scholars, and startups across domains including engineering, sciences, and interdisciplinary studies. Position Overview: We are seeking a highly qualified and research-driven Research Associate with a PhD in Mathematics to contribute to our ongoing and upcoming academic and applied research projects. The ideal candidate should have strong analytical and theoretical skills, along with experience in publishing research in reputed journals. Key Responsibilities: Conduct advanced research in pure or applied mathematics as per project or publication goals Contribute to academic writing, journal submissions (Scopus/WoS), and collaborative research proposals Support PhD and MTech scholars with guidance, statistical validation, and modeling techniques Prepare research documentation, reports, presentations, and publication-ready manuscripts Collaborate with interdisciplinary teams (AI/ML, Data Science, Engineering) where mathematical modeling is applicable Participate in academic events, webinars, and grant-writing initiatives when needed Requirements Required Qualifications and Skills: PhD in Mathematics from a recognized university Strong academic background with publications in Scopus/Web of Science journals Proficiency in mathematical modeling, numerical methods, and statistical analysis Familiarity with tools such as MATLAB, R, LaTeX, or Python is preferred Excellent analytical thinking, problem-solving, and research documentation skills Strong command over academic writing and literature review

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Under the direct supervision of the Senior Process Improvement Manager, this position is responsible for providing support and functional expertise to the process improvement projects and initiatives, while driving the ideation and completion of significant PI projects for Global Business Solutions. This position will be an individual contributor with strong analytical skills to drive overall efficiency, process reliability, and cost savings improvements. This position will constantly be eliminating sources of waste and downtime to root cause via small- and large-scale improvements. This specific role will have ownership of various projects with a wide scope of processes and technologies. Key Responsibilities Be a key driver in the site s continuous process improvement program with responsibility for a pipeline of PI projects to deliver year over year annual cost savings, through risk reductions, cost avoidance, enable future growth. Drive the development and implementation PI / Global projects. Collaborate across all teams to create Process Improvement capability across value streams across Global Business Solutions. Support data and statistical analysis methods utilizing large and complex data sets to be able to determine actionable insights to prioritize and execute loss reduction progress and the effectiveness and the countermeasures put in place. Required Qualifications & Experience Minimum of 5-8 years of relevant experience with Process Improvement / Global Project Management. Demonstrated ability to drive results using analytical decision making, building strong teams and relationships, and direction setting. Advanced knowledge of Lean Six Sigma. Proficiency in the application of process improvement methods. The successful candidate will be very detail oriented, have strong interpersonal and teamwork abilities, demonstrated grammatical and organizational skills and must be a self-starter, who is able to work independently. Mastery in MS Office (Excel, Access, Project, PowerPoint, Word) required Six Sigma methodologies experience. McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. WHY WORK AT MCCORMICK United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

About this role: Wells Fargo is seeking a... In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Required Qualifications for Europe, Middle East & Africa only: Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong experience in Python, SQL and BI tools like Tableau and PowerBI Good consulting skills to story board solutions to Business problems Job Expectations: Shift Timings 1:30pm - 10:30pm

Lead Next Gen Shared Services Quality Organization by consistently Raising the bar on service delivery standards and enable low risk and zero surprises BAUDevelop a high performing team supporting Accounts and provide exceptional quality assurance services to WNS clients Drive and improve efficiency leading to better operating margins with strong focus on governance timelines and risk managementRedesign and deploy sampling and stratification strategy based on Compliance checks Financial processes volume and Value mix Errors Customer priorities and Agent performanceSLA baselining predictive SLA monitoring and reportingProvide thought leadership creative solutions and leverage problem solving techniques to drive continuous improvement Serve as an integral part of the enterprise ecosystem by participating in strategic projects RFPs Client visits Digitalization of Quality Assurance Delivery embed Digital tools to strengthen audit mechanism and control framework Provide meaningful business insights to all stakeholders indepth statistical analysis defects exceptions and trends leading to performance enhancement and client experienceDemonstrate Leadership Behaviors example Enterprise Thinking Effective and Quick Decision Making Making Collaboration EssentialFoster a spirit of continuous learning and collaboration across teams Qualifications QualificationGraduate, Green Belt Lean Six Sigma Certified Mandate, Black Belt Six Sigma preferred, MS office trained

About this role: Wells Fargo is seeking an Analytics Consultant. In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Excellent verbal, written, and interpersonal communication skills. Strong knowledge of Enterprise Risk programs and applicability of risk management framework (3 Line of defense) Experience identifying internal and external data sources from multiple sources across the business Experience with SQL, Teradata, or SAS and Database Management systems like Teradata and MS SQL Server. Experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience in data visualization and business intelligence tools. Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills Demonstrated strong analytical skills with high attention to detail and accuracy. Strong presentation skills and ability to translate and present data in a manner that educates, enhances understanding, and influence decisions, bias for simplicity Strong writing skills - proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language Ability to support multiple projects with tight timelines Meta Data management, Data Lineage, Data Element Mapping, Data Documentation experience. Experience researching and resolving data problems and working with technology teams on remediation of data issues Hands-on proficiency with Python, Power BI (Power Query, DAX, Power apps), Tableau, or SAS Knowledge of Defect management tools like HP ALM. Knowledge of Data Governance. Job Expectations: Ensure adherence to data management or data governance regulations and policies Extract and analyze data from multiple technology systems/platforms and related data sources to identify factors that pose a risk to the firm. Consult with business line and enterprise functions on less complex research Understand compliance and risk management requirements for sanctions compliance and data management Perform analysis of findings and trends using statistical analysis and document process Require a solid background in reporting, understanding and utilizing Relational Databases and Data Warehouses, and be effective in querying and reporting large and complex data sets. Excel at telling stories with data, presenting information in visually compelling ways that appeal to executive audiences, and will be well versed in the development and delivery of reporting solutions. Responsible for building easy to use visualization and perform data analysis to generate meaningful business insights using complex datasets for global stakeholders. Responsible for testing key reports and produce process documentation. Present recommendations to maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff

Join Natus Sensory to start a new adventure in the medical device industry today and make a difference in someone s life. Our Product Security Analyst (Remote) works closely with global cross-functional teams to protect the confidentiality, integrity, and availability of Natus medical devices and services from information security threats and vulnerabilities. The role supports customer product security and privacy inquiries, security and privacy product assessments, and the Natus secure development lifecycle, including new strategies, policies, procedures, and best practices. Here s what you can expect: Location: Remote Main Responsibilities Serve as the Subject Matter Expert (SME) on industry threat intelligence and best practices. This will require conducting research and staying up-to-date on emerging security trends, threats, and technologies while working closely with cross-functional teams to identify and deploy solutions within Natus products. Conduct Product Security Risk Assessments working with cross-functional teams as needed to identify threat sources and determine the likelihood and impact of successful exploitation of vulnerabilities on product assets and functions. Work with cross-functional teams to create Product Security Requirements based on risk assessment results, industry best practices and guidelines, customer feedback, emerging trends, threats intelligence, and emerging technologies. Work with Engineering teams to assess the cybersecurity posture products supporting security testing activities (e.g. SAST, SCA, Vulnerabilities Analysis, Pen Testing, etc.). Work with Marketing, Sales, and Service to respond to customer inquiries, questionnaires, and risk assessments Travel: Up to 10% domestic or international travel on an as needed basis to visit a Natus or customer site for complex investigations Qualifications Product Security Analyst Qualifications Bachelors degree (B.A.) from a four-year college or university and five years related experience and/or training; an equivalent combination of education and experience can be considered At least three years related experience in Cybersecurity in a heavily regulated environment Demonstrated experience with system security, security compliance and securing developmental lifecycles Knowledge of Information security risk assessment methodologies and standards Ability to communicate with and influence technical and non-technical customers, colleagues, and vendors Ability to organize, prioritize, and coordinate multiple work activities and meet target deadlines in a fast paced environment Strength in statistical analysis, identification of trends, matching information to issues and relevant reporting Developing knowledge of information security best practices, standards, guidelines, and frameworks, including NIST 800-53, NIST RMF, and NIST CSF. Strongly preferred: FDA Pre-market and Post-market Guidance for Cybersecurity in Medical Devices, the HIPPA Security Rule, HSCC Joint Security Plan, AAMI TIR57, ISO/IEC 27000 family. We offer The role is a work-from-home remote position. Minimal travelling: less than 5% Collaborative and international environment with different cultures. English company language. EEO Statement Natus Sensory is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Biostatistician I / II - India - Office Based ICON plc is a world-leading healthcare intelligence and clinical research organization. We re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development We are currently seeking a Biostatistician I to join our diverse and dynamic team. As a Biostatistician II at ICON, you will play a pivotal role coordinating and supervising the work of biostatisticians and programmers, ensuring timely and high-quality deliverables for assigned studies. What you will be doing: Contribute to the design of case report forms with a focus on statistical aspects. Review study database structures, edit checks, and data management coding conventions to ensure data integrity. Prepare comprehensive statistical analysis plans, defining derived data and crafting statistical tables, figures, and data listings for clinical summary reports. Conduct statistical analyses to extract meaningful insights from research data. Interpret data and effectively communicate findings through result reporting. Collaborate on writing the statistical methods sections of integrated study reports. Your Profile: A Masters degree or higher in statistics or related field Demonstrated experience of 2+ years in statistics, biostatistics, or a related field within the pharmaceutical industry is required. Strong kNwledge of study designs and statistical analysis conventions in one or more therapeutic areas. Exceptional verbal and written communication skills and proficient computer skills. Strong familiarity with clinical trials methodology, regulatory requirements, statistics, and proficiency in statistical software packages, including SAS. Ability to translate clients needs into statistical practices and educate clients in the utilization of statistical methods, coupled with solid interpersonal and project management skills. #LI-KT1 What ICON can offer you: Our success depends on the quality of our people. That s why we ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family s needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family s well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here . Interested in the role, but unsure if you meet all of the requirementsWe would encourage you to apply regardless - there s every chance you re exactly what we re looking for here at ICON whether it is for this or other roles. Are you a current ICON EmployeePlease click here to apply

Title: Sr. Business Analyst Location: Gurgaon, India Type: Hybrid (work from office) Job Description Who We Are: Fareportal is a travel technology company powering a next-generation travel concierge service. Utilizing its innovative technology and company owned and operated global contact centers, Fareportal has built strong industry partnerships providing customers access to over 600 airlines, a million lodgings, and hundreds of car rental companies around the globe. With a portfolio of consumer travel brands including CheapOair and OneTravel, Fareportal enables consumers to book-online, on mobile apps for iOS and Android, by phone, or live chat. Fareportal provides its airline partners with access to a broad customer base that books high-yielding international travel and add-on ancillaries. Fareportal is one of the leading sellers of airline tickets in the United States. We are a progressive company that leverages technology and expertise to deliver optimal solutions for our suppliers, customers, and partners. FAREPORTAL HIGHLIGHTS: Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 600 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. Role Overview The BI Engineer will generally support many areas of the business with analysis, visualization, and recommendations by leveraging our diverse data sources and applying them appropriately by interpreting the business needs and goals. Responsibilities Create data-driven, high-impact insights independently. Ideate, develop, and deploy dashboards and visualizations for key business metrics. Perform advanced data profiling, modeling, and business logic analysis. Implement alerting tools and systems to quickly identify issues, notify stakeholders, and coordinate to resolve the issues. Collaborate with business units to perform requirements analysis, project scoping, data analysis and business logic transformation. Support data warehousing and automation projects, including logic and validation, for use in BI analysis and insights. Provide guidance to reporting users to maximize understanding and use of reporting technologies. Efficiently manage the backlog and delivery of analytical projects. Requirements Bachelors degree in technical or analytical field, or other fields with related work experience 2-3 years of work experience with business intelligence or other data analysis roles Strong experience querying relational databases such as Microsoft SQL Server, Oracle Database, or MySQL & ClickHouse. High proficiency with visualization tools such as Power BI. Proven track record of data-driven insights Advanced Excel skills Data modeling, validation, Data Storytelling, and statistical analysis Critical thinking and problem solving Preferred Experience in travel or e-commerce industries. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations or requirements posted here at any time at the Companys sole discretion, with or without notice.