158 Statistical Analysis Jobs - Page 3

About Corporate Real Estate Services Corporate Real Estate Services (CRES) looks into the leasing and approval for the arrangement of the Facilities Managerial aspects as well as coordinating and provisioning for new sites and Branches. It also handles New Acquisitions and Contract Management for new Premises. About the Role The Upkeep & Maintenance Team looks into the upkeep functions for the CRES Department. The Upkeep & Maintenance division of CRES is also responsible for upkeep & maintenance of branch/offices, especially critical equipments in these branches /offices in allocated circle/s so as to ensure that operations are not affected. The Role involves extensive travelling and simultaneously co-ordination of work during travelling Key Responsibilities Ensure that upkeep maintenance activities at branches/offices are carried out by facility vendors in terms of the contract agreed with them. Branches/offices should be clean and well maintained. Ensure timely Resolution of infra related complaints / issues logged by the Branches/offices in complaint management software Responsible for selection of premise for new branch/offices, as and when assigned. Co-ordinate for relocation of branch/office premise in the allocated Circle/s Manage departmental budgets for electricity, property taxes and repairs and maintenance Contract and coordinate the work of vendors Obtain quotes for repairs and maintenance works and seek financial approvals. Should be able to analyse the rates shared by vendors. Monitor electricity consumption of branches/offices and drive energy saving projects being implemented by the Bank at branches/offices. Drive other cost savings initiatives Ensure compliance of AMC terms for preventive maintenance & allied issues. Obtain necessary financial approvals and co-ordinate with the Finance & Accounts department for release of payments to the vendors Qualifications Optimal qualification for success on the job is: Graduate with Experience in Upkeep and Maintenance Activities Preferably from Admin/ Technical Background Experience in handling property sourcing and legal clearance for all properties in terms of relocation and or new Setup Role Proficiencies For successful execution of the job, the candidate should possess the following: Knowledge of the Vendor Management Process Knowledge of the AMC/ Warranty Vendorship Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to work as a part of team and contribute towards team goals Ability to manage multiple tasks/projects and deadlines simultaneously Ability to conceptualize and implement competent marketing strategies with a view to penetrate new accounts #ComeAsYouAre "We are dil se open. Women, LGBTQIA+ and PwD candidates of all ages are encouraged to apply"

About Internal Audit The Internal Audit function of the Bank, operates independently under the supervision of the Audit Committee of the Board and is responsible for providing an independent view to the Board of Directors and Senior Management on the quality and efficacy of the internal controls, risk management systems, governance systems and processes in place on an on-going basis. This is provided to primarily ensure that the business and support functions are in compliance with both internal and regulatory guidelines. About the Role The role of a Risk Auditor involves conducting Internal audit of risk function of the Bank (either one or more of the areas like Treasury Middle office/ Market Risk / ALM including Interest Rate Risk and Liquidity Risk / Capital Adequacy). For the Role, they must also possess a good understanding of Treasury Risk Management. Key Responsibilities Execute Internal Audit of the Bank s risk function Treasury Middle office, Market risk, and Liquidity risk. Develop data request, conduct discussions with auditee units Ensure closure of internal audit reports Update risk and control matrices for the unit Update internal audit MIS with the status of audits Track compliance of past observations pending closure Qualifications Optimal qualification for success on the job is: CA Professional certifications like FRM/ CFA/ etc. would be and added advantage. Role Proficiencies For successful execution of the job, the candidate should possess the following: Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to work as a part of team and contribute towards team goals Ability to manage multiple tasks/projects and deadlines simultaneously #ComeAsYouAre "We are dil se open. Women, LGBTQIA+ and PwD candidates of all ages are encouraged to apply"

Job Opening: Faculty in Business Analytics at ITM Group of Institutions, Navi Mumbai How to Apply: Call 86575 47930 ( Anuja Bhosale) for inquiries. Email your resume to careers@itm.edu or anujab@itm.edu Location: ITM Group of Institutions, Kharghar, Navi Mumbai Organization: ITM Group of Institutions (Website) Working Hours: 6 days a week (2nd & 4th Saturday and all Sundays off) General shift Required Candidate Profile: Flexibility Positive attitude Good communication skills Benefits: 3 paid leaves per month Provident Fund (PF) Medical insurance (Mediclaim) Gratuity Job Description: Teach undergraduate/graduate courses in business analytics, data science, machine learning, statistical analysis, and data visualization. Develop and update course materials, including syllabi, lectures, assignments, and exams. Assess and evaluate student performance. Provide academic advising and mentorship. Foster an engaging learning environment that encourages critical thinking. Participate in departmental, college, and university committees. Help organize academic and industry events (conferences, seminars, guest lectures). Stay updated with advancements in business analytics and related fields. Engage in continuous professional development. Collaborate on interdisciplinary projects and maintain professional networks. Join ITM Group of Institutions and make an impact in the field of Business Analytics!

Qualification: BE/BTech, 6-8 years Job Role : Pricing strategist We are seeking a dynamic and analytical Pricing Manager to join our team. In this pivotal role, you will develop and implement pricing strategies for Parts & Accessories that drive profitability and market competitiveness. As a Pricing Manager, you will collaborate with cross-functional teams to analyze market trends, customer behavior, and competitor actions, ensuring our pricing aligns with our business goals and customer expectations. Key Responsibilities: - Develop and Execute Pricing Strategies: Formulate pricing strategies for new and existing products that maximize profitability and MSIL Parts & Accessories market share. Implement pricing models that reflect the value of our offerings. - Market Analysis: Conduct comprehensive market research to understand pricing trends, competitor pricing, and customer value perception. Utilize this data to inform pricing decisions. - Pricing Optimization: Continuously monitor and analyze the performance of pricing strategies, adjusting as needed to optimize revenue and margins. - Cross-Functional Collaboration: Work closely with the Parts & Accessories sales and marketing teams, finance, and product development teams to ensure pricing strategies are aligned with business objectives and market realities. - Customer Insights: Gather and analyze customer feedback and behavior to refine pricing approaches and enhance customer satisfaction. - Financial Analysis: Prepare detailed financial analyses to support pricing decisions, including cost analysis, profitability assessments, and revenue forecasts. - Policy Development: Develop and enforce pricing policies and guidelines to maintain pricing integrity and consistency across all channels. - Reporting and Documentation: Maintain accurate pricing documentation and provide regular reports on pricing performance and adjustments to senior management. - Internal and external audit coordination - System and Process Improvement Qualifications: - Education: Engineering. An MBA or advanced degree is a plus. - Experience: Understanding of Parts & Accessories OE market dynamics. Minimum of 5 years of experience in pricing, or a related field, with a proven track record of developing and implementing successful pricing strategies. - Analytical Skills: Strong analytical and quantitative skills, with the ability to interpret complex data and make data-driven decisions. - Communication: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively. - Technical Proficiency: Proficiency in statistical analysis tools, and Microsoft Office Suite, particularly Excel. - Leadership: Demonstrated leadership capabilities, with the ability to influence and drive cross-functional initiatives.

Position Purpose The Program Managers main objective would be to create a Centre of Expertise in Securities Services Operations (2S Operations) team and to target accomplishing the below (not exhaustive) To achieve an optimal Change Management model across Business lines in Securities Services Operations Make 2S Operations the primary hub for Change management in Securities Services Standardized project and program management practices within Change teams Facilitating Business to Manage projects through organization change Responsibilities Direct Responsibilities Formulate, organize and monitor inter-connected projects Analyse and define on suitable strategies and objectives Coordinate cross-project activities Lead and evaluate project managers and other staff Develop and control deadlines, budgets and activities Apply change, risk and resource management Assume responsibility for the programs people and vendors Assess program performance and aim to maximize ROI Resolve projects higher scope issues Prepare reports for program directors Directly manage multiple onboarding / transition projects related to Operations processes in the Securities Services domain Ensure Risks and Issues are managed proactively and various transition deliverables are documented and signed off before go-live Develop strong, positive, constructive relationships with multiple senior stakeholders Lead matrix teams to deliver high quality results Ability to work in a fast paced and dynamic environment Contributing Responsibilities Ensure adherence to the Transition Methodology and Outsourcing Compliance for self and team Contribute to building a world class Programme / Project Management discipline Thorough understanding of project/program management techniques and methods Excellent Knowledge of performance evaluation and change management principles Technical & Behavioral Competencies Overall 15+ years of experience Highly assertive, strong orientation to statistical analysis Expert in Project Management Change Cycle Framework Formulate, Plan, Implement, Manage Transition and sustain Self-starter who can work independently, displays initiative and is a problem solver Strong stakeholder management & negotiation skills Specific Qualifications (if required) Expert Project & Change Management skills Adequate knowledge on Capital Markets and Products in Securities Services Skills Referential Behavioural Skills : (Please select up to 4 skills) Decision Making Personal Impact / Ability to influence Ability to deliver / Results driven Resilience Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to anticipate business / strategic evolution Ability to inspire others & generate people's commitment Ability to manage / facilitate a meeting, seminar, committee, training Ability to understand, explain and support change Education Level: Master Degree or equivalent Experience Level At least 15 years

Monitor orders and trade across multiple trading platforms of outliers. Analyse surveillance system alerts and develop periodic reports. Data Analysis using Excel/R/Python and providing insights through data interpretation and presentation. Regularly interact with internal and external teams on various system development and surveillance-related areas. Testing of the system as per requirement. Competencies: Exposure to treasury Products by virtue of working with either Trading/Risk Management / Analyst/ Strategist teams. Proficient in using statistical analysis techniques and data visualization tools. Technology savvy, working knowledge of programming/ coding. Required Graduate/Post Graduate with subjects that include Mathematics/Statistics/Finance * Should be ready to work extended hours as per the exigencies of business.

Details: Role : Revenue Operations Manager Work Type: Full Time Work Mode: Permanent Remote Shift: 5pm to 2am IST Responsibilities: 1. Buyer Management & Lead Routing Manage daily/weekly lead caps for buyers to maximize revenue and quality Build and maintain logic trees for lead grading and routing (e.g., grade A to buyer X, overflow to buyer Y) Monitor buyer response quality, rejection trends, and conversion rates Prioritize high-performing buyers and work with the sales team to sunset underperformers Coordinate with internal stakeholders to onboard new buyers or update parameters 2. Revenue Management & Billing Support Work with Finance to assist in generating and validating weekly invoices for lead delivery Maintain internal tracking sheets or automated dashboards of buyer revenue Flag revenue discrepancies, disputes, or missed caps and ensure timely resolution Support Sales and Product Ops in forecasting and pacing lead traffic for revenue planning 3. Integration & Technical Operations Own the end-to-end API setup for lead posting to buyers, including testing, QA, and documentation Work with internal automation tools (e.g., Zapier, n8n) to create or enhance workflows Troubleshoot posting failures, rejection reasons, and work with buyers to resolve them quickly Maintain a central knowledge base or playbook of integrations and schema versions 4. Quantitative & Statistical Analysis Analyze lead-to-revenue trends across campaigns, lead sources, and buyer segments Run experiments (e.g., alternate routing logic, traffic pauses, pricing thresholds) and assess impact Use analytical tools (Excel, Google Sheets, SQL, or Looker/Tableau) to build internal visibility into performance Recommend optimizations to improve RPM (revenue per 1000 leads) and lead utilization Required Skills 4+ years of experience in a Revenue Ops, Product Ops, Lead Operations, or Growth Operations role Hands-on experience managing API-based integrations (e.g., REST, webhook posts) Ability to write and debug automation workflows (e.g., Zapier, Make, or n8n) Strong command of spreadsheets, data wrangling, and metrics tracking Analytical thinker who can interpret performance data and act on it Exceptional attention to detail with a bias for operational excellence Clear and professional communication skills for both internal and buyer-facing conversations Nice to Have Experience in lead generation, affiliate marketing, or pay-per-lead businesses Knowledge of SQL and data visualization tools (Looker, Tableau, Metabase) Prior involvement in revenue forecasting, pacing, or financial ops Familiarity with call center operations, lead scoring models, or lead resale frameworks Revenue operations manager //Revenue operations analyst

Project Assistant position available Institute of Bioinformatics and Applied Biotechnology Institute of Bioinformatics and Applied Biotechnology, Bangalore Minimum qualification : A Bachelor s degree in any subject, with knowledge of databases, programming and web development. The successful candidate will be conversant with programming and web scraping using Python, statistical analysis using R, database server management using SQL, website design using html/CSS, and contemporary frameworks. Last date for application : 25 March 2021, or until the position is filled. Remuneration will be based on qualifications and experience.

1. Role: ML Engineer Must have: 4+ years of experience Strong Understanding in statistics. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Tree text mining, ensemble techniques etc. Strong skills in software prototyping and engineering with expertise in Python is required. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Knowledge in understanding the Time-series, data pattern & Product data from the Manufacturing Process. Qualification & Skills: Preferred Degree in Mechanical Engineering, Computer Science, ECE, Statistics, Applied Math or related field. 4+ years of practical experience with ML Projects, data processing, database programming and data analytics Extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation. Excellent pattern recognition, predictive modelling skills Experience with Business Intelligence Tools like Power BI is an asset.

Bachelor s Degree in Accounting Associates Degree with at least 2 3 years of experience in similar position. Responsible for ensuring monthly and quarterly financial reports are prepared in an accurate and timely manner. Responsible for accounts receivables management. Responsible for all intercompany accounting and intercompany reconciliations. Responsible for capital expenditures and capitalization of fixed assets. Timely submission of Statutory Returns. Aptitude to function within a team. Time management ability to meet deadlines. Proficiency in the use of the computer and software applications for research, data gathering, statistical analysis, report preparation, presentation and communication. Key Skills SAP, Tally and GST knowledge must.

Design statistical analysis plans for clinical trialsobservational studiesand laboratory experiments. Perform statistical analyses using appropriate software (egSASRPython). Collaborate with clinical researchersdata managersand regulatory teams to ensure data integrity and compliance. Interpret and communicate statistical results clearly to cross-functional teams and stakeholders. Prepare tableslistingsand figures for clinical study reports and publications. Support the preparation of documents for regulatory submissions (egFDAEMA). Stay current with advancements in biostatistics and relevant regulatory guidelines. Contribute to protocol developmentdata monitoringand interim analysis. Provide statistical consulting to internal teams on study design and methodology.

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will play a key role in cleaning, analyzing, and summarizing complex datasets collected from surveys, interviews, mobile applications and secondary data sources Clean, transform, and validate raw survey and app-collected data for use in analysis and visualization. Conduct descriptive and inferential statistical analysis to extract insights from datasets. Develop clear, concise data summaries and reports for non-technical stakeholders. Collaborate with the dashboard development team to ensure data accuracy and clarity in visualizations. Identify patterns, trends, and anomalies in the data to inform social science research questions. Document data processes, code, and analysis logic for reproducibility and transparency. Support the design and continuous improvement of data pipelines and workflow automation Last date to apply June 25, 2025 For details contact amritawna.hr@gmail.com Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx & PDF format only Extra curricular activities * To confirm your request , please check the box to let us know you are human

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors / Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Job Responsibility: To lead quality assurance team to handle various QA functions during manufacturing of transformers Responsible for establishing and promulgating quality policies and procedures to meet or exceed customer requirements and expectations Review of contractual requirements related to quality of the product and plan necessary actions for compliance Handling customer inspections and customer complaints Drive the production team with root cause analysis and prevent recurrence To maintain and continually improve a process oriented QMS To coordinate with functional heads/ staff to identify and proactively address areas for improvement To ensure availability of updated product/ process documentation To attend internal/ external audits To give relevant training to the staff To define SOPs and prepare procedures Preparation, circulation & presentation of MIS Key Skills Required: Knowledge on design and manufacturing process of transforms Awareness on ISO 9001:2015, ISO 14001:2015 & ISO 45001:2018 and internal auditor for any 2 of these management systems Failure analysist techniques and preparation of RCA report Through knowledge on Quality controls tools Ability to interpret complicated data, drawing and QAPs Ability to make difficult decisions in the best interest of the company Exposure to critical & overseas customer inspections Personal management skills Sound knowledge on statistical analysis Analytical and problem-solving ability Good communication and presentation skills Computer skill especially in MS office Quality certifications (CQM and Six Sigma Black Belt) are preferred Work experience with ERP Qualification: Bachelor's degree in Electrical Engineering 12+ year Experience in QA in which at least 5 yrs in transformer industry

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors/Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

1 We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team. As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning. Key Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Required Qualifications: Azure Machine Learning and MLOPS experience. 5 - 10 years of experience Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in Python, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Chevron participates in E-Verify in certain locations as required by law.

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Were a passionate team of 200+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isnt just encouraged, its ingrained in our DNA. What we are looking for: As the Sr. Engagement Lead, you ll leverage data to unravel complexities, adept at devising strategic solutions that deliver tangible results for our clients. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm. What you ll do: Seeking an individual experienced in leveraging emerging technologies and best practices to address healthcare/pharma industry challenges. Collaborate with clients to model data and solve complex business issues. Analyze to aid strategic decision-making, utilizing tools like Tableau, SAS, R, and Alteryx Develop tailored healthcare analytics solutions to improve patient outcomes and cost management. Gain a comprehensive understanding of data and processes to deliver impactful outcomes. Work with clients to structure and model the data to solve complex business problems Develop and implement innovative solutions along with coaching, guiding, and mentoring Sr Analyst/ Associate Engagement Leads/ Engagement leads in the team. Must have: Candidates with a Bachelors degree in Engineering and 8+ years of strong analytics experience. Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, segmentation, Forecasting, Sizing, Alignment, Marketing Mix Model, Targeting, and analyzing large datasets to derive insights and make data-driven decisions. Ability to work on and manage multiple projects for multiple stakeholders, with a quality mindset. Deep understanding of their Industry, including market trends, regulatory frameworks, and competitive landscapes. Excellent verbal and written communication skills, essential for effective collaboration. Proven ability to work creatively and analytically with minimal direction.

Summary Novartis is looking for a Associate Analyst - Analytics for its International BA team. The Associate Analyst will be responsible for providing analytical support on high complexity reports to internal customers, contributing to business decision-making by analysing commercial analytics data and identifying trends. The role includes working in commercial analytics projects, maintaining the existing reports and supporting the development of reporting platforms based on business inputs. The Associate analyst will work collaboratively with various cross-functional teams to meet business requirements. They will also participate in performance tracking, knowledge sharing, and support day-to-day business-related tasks. The role requires being detail-oriented, having a knack for interpreting data trends and insights, and being adept at collaborative work. About the Role Key Responsibilities: Possess strong analytical skills to collect, organize, analyse, and disseminate significant amounts of information Interpret granular data, analyse results and derive actionable insights. Clearly communicate data-driven insights to stakeholders that may assist them in decision-making processes Support in developing, maintaining, and improving insightful reporting solutions and dashboards Support the engagement lead in managing and organizing data sets from databases to find patterns and trends in data while ensuring data integrity and accuracy Use data analytics to understand customer behaviour and improve marketing effectiveness Support the leads in standardization of reports across brands Establish and maintain positive relationships with key stakeholders and understand their perspectives Stay informed on industry trends and developments to advise management on strategies for business growth Build and maintain standard operating procedures (SOPs), quality checklists to enable excellent quality outputs and knowledge repositories Essential Requirements: MBA with Graduate / Postgraduate in Medicine (MD/MBBS/BDS) Pharmacy / Life Sciences/ bachelor s degree in marketing, Statistics, or a related field. Data analytics experience. Experience in a market research firm or pharmaceutical company will be preferred 0 - 2 years of overall experience in data modelling, SQL and robust technical problem-solving skills. Expertise in MS Excel, SQL, Power Query, and ETL tools like Alteryx, DataIKU. Knowledge of Statistical modelling or ML is preferred Experience working with Power BI Proficiency in statistical analysis tools (R, Python, or similar) will be preferred High agility to work across projects, dataset and technologies Ability to operate optimally in an international matrix environment. Strong teammate who is dynamic and result oriented Understanding of healthcare terminology and real-world patient level data will be desirable Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Skills: SQL, Advanced Excel & Power point ETL tools (Alteryx, DataIKU) Power BI Good to have knowledge of Python and/or Snowflake. Knowledge of Statistical Analysis, AI/ML will be desirable Process Documentation Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities: Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies: Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience: We welcome a bachelors or masters degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e. g. , R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Adobe CJA Configuration Engineer The key responsibilities include configuring CJA setups, managing data integrity in Adobe Experience Platform (AEP), and developing actionable insights via dashboards and reports. The candidate will also integrate CJA with other Adobe Experience Cloud solutions and ensure best practices for data governance. Key responsibilities of an Adobe CJA role include: Data integration and management: Pulling data from various sources and preparing it for analysis within Adobe CJA. Customer journey mapping: Visualizing customer interactions across touchpoints to identify key moments and potential pain points. Advanced analytics: Utilizing CJA features like path analysis, cohort analysis, and attribution modeling to understand customer behavior and campaign effectiveness. Dashboard development: Creating interactive dashboards to present key customer journey insights to stakeholders. Reporting and analysis: Interpreting data to generate actionable insights and recommendations for improving customer experience. Skills and qualifications for an Adobe CJA role: Technical expertise: Strong understanding of Adobe Analytics platform, including CJA features, data models, and analysis techniques. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization. Adobe Analytics, Cja

Job Description: Designation: Senior research analyst Experience: 2 to 5 years Location: Mumbai Functional Responsibility: Customized Research: Work on client specific assignments (Customized Research) Assignments would largely include demand assessment, market entry/product strategy, business planning support, feasibility analysis, and competitive benchmarking Analysis of industry dynamics from all relevant angles (demand-supply, profitability, investments, regulation competitive landscape etc.) Prepare demand forecasting models based on qualitative and, when appropriate, statistical analysis Extensive secondary and primary research for obtaining relevant inputs Ability to independently undertake intensive interactions with market participants for sourcing critical information Willingness to travel for industry interaction and build network of sources in critical areas Ability to form hypothesis, validate assumptions, test based on data gathered and write a cogent and logical report To showcase work and deliver presentations to clients and internal committees Support to Senior Manager/Director in making presentations to clients and at seminars/conferences, etc. Author and publish articles to showcase thought-leadership and build franchise for the business Support Business Development team in preparing proposals, including carrying out initial feasibility assessment and effort estimation for the assignment

Key Responsibilities Design statistical analysis plans for clinical trialsobservational studiesand laboratory experiments. Perform statistical analyses using appropriate software (e.g.SASRPython). Collaborate with clinical researchersdata managersand regulatory teams to ensure data integrity and compliance. Interpret and communicate statistical results clearly to cross-functional teams and stakeholders. Prepare tableslistingsand figures for clinical study reports and publications. Support the preparation of documents for regulatory submissions (e.g.FDAEMA). Stay current with advancements in biostatistics and relevant regulatory guidelines. Contribute to protocol developmentdata monitoringand interim analysis. Provide statistical consulting to internal teams on study design and methodology.

The Associate Statistical Programmer will work with Medical Affairs biostatisticians and/or programmers and Sanofi Business Operations biostatistics and programming personnel to implement statistical analysis plans and provide QC d data packages including tables, figures, and listings for use in publications (ie abstracts, posters, oral, presentations, manuscripts, and ad-hoc data analysis requests) ; The Associate Statistical Programmer will assist in developing, implementing of programming techniques. The Associate Statistical Programmer will ensure SOPs are followe'd and that timelines and quality standards are met. People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and/or programming team members within the allocated Global business unit and product - with an objective to develop statistical data outputs. Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data and/or registry. 2) Design, develop, test, implement, and document statistical programming in high-level software packages eg SAS. 3) Produce we'll documented data packages that include tables, listings, and figures. 4) Closely follow QC plans and timelines set by senior members of the Sanofi Business Operations biostatistics and programming team. 5) Remain current on advanced programming methods Customer: 1) Work closely with Global Medical Affairs biostatisticians and/or programmers to identify statistical analysis needs and assist in developing assigned deliverables. About you Experience : B.Sc. or Masters degree minimum 1 years of relevant experience required, or a minimum of 6 months of relevant internship experience. Soft skills : Ability to manage timelines and Ability to work independently and within a team environment. Technical skills : Base SAS programming skills, basic knowledge SDTM & ADaM (CDISC) Education : Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. Languages : Excellent English language knowledge - written and spoken

Job Summary: Designs and prepares reports, dashboards, and summaries for statistical analysis and planning purposes. Analyzes business issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns. Principal Responsibilities: Collects, compiles and analyzes data from various databases and performs statistical analysis for internal customer groups. Develops reports and/or creates dashboards providing financial related information needed to make informed business decisions. Designs, creates and implements templates to collect, display and analyze data for assigned projects Communicates complex data in comprehensible ways. Evaluates information from multiple sources and clearly indicates quality of final analysis. Develops reports and other tools to deliver internal company information enabling business users to make informed decisions. Gathers, aggregates models, and analyzes information from multiple external sources regarding company financial performance, customer insights, competitor profiling, competitive threats, potential product or technical expansion, industry trends and other such business intelligence aspects. Establishes standards and procedures for a variety of processes, conducting business analysis resulting in detailed creation and maintenance of business process mapping, requirements and training materials documentation. May participate in or lead project teams. Identifies, investigates and participates in opportunities to improve processes and procedures, to include various key performance metrics. Other duties as assigned. Job Level Specifications: Foundational knowledge of specialized disciplines, industry practices and standards, acquired via academic instruction and/or relevant work experience of substantially the same level. Develops solutions to defined tasks, typical assignments and projects. May be solved by the application of specialized foundational knowledge, using existing approaches and solutions. Work is usually performed independently and requires the exercise of judgment and discretion. Receives initial direction although work may be reviewed for accuracy and quality. Collaborates with immediate management and team members within the department or function. Actions typically affect own work assignments and department. Erroneous decisions or failure to accomplish work may require some assistance or resources to remedy. Work Experience: Typically less than 2 years with bachelors or equivalent. Education and Certification(s): Bachelors degree or equivalent experience from which comparable knowledge and job skills can be obtained. Distinguishing Characteristics: Position may require the ability to travel.

Amazons vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Ability to do exploratory analysis: Fetch data from systems and analyze trends Identify consumer segments that need to be actioned to drive adoption of Amazon Pay Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs . Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle Ability to work with regulated(RBI, FIU, etc) bodies across IN Ability to identify and deepdive at the most granular level and flag anomalies Work with cross functional teams like Category, Product, Operations, etc 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel -Advanced SQL / data mining skills -Extensive experience in reports/dashboards automation Experience with statistical analysis (R/python) -Experience working with data visualization tools and creating data visualization concepts (Tableau preferred, D3 is a bonus) E commerce experience is preferred