About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 8-10 years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization. Experience inData Extraction tools, Advanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge - Campaign Analytics. Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment- Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Senior Process Manager Roles and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical and Functional Skills: Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 8-10 years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization . Experience in Data Extraction tools, A dvanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge - Campaign Analytics . Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data andanalytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment- Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus.

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs. Conduct discovery sessions, workshops and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps and/or business requirements to design solutions that can best address existing or prospective clients. Conducting stakeholder interviews and workshops to gather and prioritize business requirements. Analysing and documenting current business processes and systems. Identifying opportunities for process improvement, cost reduction, and efficiency gains. Translating business requirements into functional specifications for technical teams. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Collaborating with stakeholders to validate requirements and ensure alignment with business goals. Supporting the implementation and testing of solutions to ensure they meet business needs. Technical and Functional skills: 5 years of experience as a customer facing business analyst with minimum graduation in any field. Analytical ExpertiseProficient in analysing business processes, systems, and requirements to identify areas for improvement and optimization. Communication Skills: Ability to effectively communicate with stakeholders from various backgrounds to gather requirements, facilitate meetings, and present findings. Problem-Solving Skills: Capable of identifying problems, proposing solutions, and implementing strategies to address business challenges. DocumentationSkilled in documenting business requirements, user stories, process flows, and other artefact to ensure clear communication and understanding among stakeholders. Data AnalysisComfortable with data analysis techniques and tools to derive insights and make data-driven recommendations. Domain KnowledgePossesses a deep understanding of the Hi-tech industry or Supply chain / logistics domain, enabling them to provide valuable insights and recommendations. Project ManagementFamiliarity with project management methodologies and practices to effectively manage project timelines, resources, and deliverables. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Knowledge of data visualization tools like Power BI, Tableau, QlikSense etc. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Very high attention to detail and quality.

The Opportunity: Pune (India) Avantor Business Center (ABC) Financial Planning & Analysis (FP&A) team partners with Avantor leadership teams in driving the Avantor Key Strategic Business Priorities. ABC FP&A team enables Avantor leadership team in effective decision making by providing timely, accurate and actionable insights globally for all the markets, regions, businesses, and functions. Finance Business Partner FP&A is a member of ABC Pune FP&A team and partner with global leaders both operations & finance in driving various key priorities such as IOP, Forecast, and month end performance analysis etc. by dealing with various functional areas of finance such as Revenue, Cost, margins, Working Capital & Capex etc. This position will also actively partner with multiple stakeholders including operations team on a day-to-day basis to meet the ongoing business requirements. Finance Business Partner is expected to act as process champion/Subject Matter Expert of the assigned area and proactively enable his/her business partners in effective decision making by providing necessary insights by assessing Past & Current performance of the business. The Finance Business Partner is accountable to deliver defined Service Line Agreements (SLA) of his/her role and assist Pune FP&A leadership team in managing the lean culture of the organization and create global impact through change projects that drive automation, standardization, digitization, and analytics. This position Works on highly complex assignments with extensive latitude for independent judgment. This position requires strong business partnering skills with in-depth finance business acumen, data management, reporting and analysis expertise, influencing and change management skills. The position reports to Manager/Team Lead of Financial Planning & Analysis at Avantor Business Center (ABC) Pune and will have matrix alignment with onshore business partners. MAJOR JOB DUTIES AND RESPONSIBILITIES (List in order of importance) Business Partnering Act as Finance Business Partner for Operations team, understanding the key priorities of business/function and Providing insights with forward-looking analysis and initiate discussions/reviews with business partners to enable them in taking key business decisions. Analyzing trends & providing proactive recommendations to the finance leadership team by highlighting potential business risks & opportunities. Partner with Finance/Operations leadership on ad hoc projects /reporting as per the ongoing business requirements. Assessing the existing KPI's/reports of assigned businesses/functions, identifying the gaps in current process, proposing necessary changes to business partners and playing an active role in implementing the proactive mechanisms in measuring & driving business results. Driving Key Processes Act as Subject Matter Expert (SME) of function/business and support leadership team in driving planning, forecasting, pricing & month end closures processes including but not limited to sales & margin analysis, customer & product analysis etc. Assisting Pune FP&A manager to set up FP&A framework. Working Closely with Finance/Operations leads and provide insights in all the key areas of finance including Revenue, Cost Of Sales, Margins, Opex/Capex & Working Capital. Prepare weekly/monthly Management Review decks for leadership team by highlighting the outliers, collobarating with operations/finance teams in understanding the drivers behind the variances, providing necessary commentaries on the business performance. Actively involve in performance review discussions with Finance/Operations leadership teams and providing necessary suggestions to the leadership team on the way forward approach. Assisting finance leadership in driving the key business-specificglobal initiatives . Operational/Functional Excellence Take a lead in establishing Global Standardized Reporting for various businesses/functions. Closely Working with leadership teams in adopting the ABS practices for finance. Collaborate with other team members, identify & implement process simplifications/ improvements. Adopt the best/standard practices across teams. Prepare necessary process documentation of all the deliverables and periodical review of the existing documentation and making necessary changes to ensure the latest business changes are incorporated. Prepare financial analysis for various what if scenarios and sensitivity analysis in analyzing the business impact. Mentoring Coach and mentor new team members to make them successful in their respective role by assisting them in new transitions, having knowledge sharing sessions etc. QUALIFICATIONS (Education/Training, Experience and Certifications) Master's degree in accounting or finance. CA/ICWAI/CPA/MBA Finance from reputed universities . Minimum 8-10 years of experience in finance and/or accounting related fields, preferably in MNC's Captive Finance Shared Services Organizations/Global Centers. Prior experience in Working with Pharma companies preferred. Six Sigma or Lean training preferred, but not mandatory. A working knowledge of the wide-ranging aspects of the finance such as FP&A, Accounting, Integrated Supply Chain & Costing. Experience in leveraging financial and business systems to monitor business activities and aid in decision making. KNOWLEDGE SKILLS AND ABILITIES (Those necessary to perform the job competently) Transformation mindset - Open to accept, adopt, absorb the change in way of working, structure, and Content. Comfortable working in a matrix environment with multiple stakeholders. Ability to work with executives, managers, and stakeholders from various regions/functions. Excellent interpersonal, communication, analytical skills; demonstrated leadership abilities, and the ability to manage multiple priorities of the leadership in a highly dynamic & fast paced environment. Ability to explain the business performance with the data. Computer Proficiency with strong ERP knowledge preferably SAP, MS Office, Tableau, Power BI, Alteryx, QlikView, SAC & AFO. Strong affinity with LEAN processes and tools. Strong interpersonal, communication skills. Independent, self-starter, highly motivated. . .

This role is an integral part of the Controllership team, responsible for maintaining efficient and accurate revenue calculations, reporting key data to the rest of the business and assisting with ad-hoc queries from Business teams based in UK. Key Responsibilities Calculation of revenues within the Billing / Accounts Receivable system. Analysis to be performed to ensure the movement in revenue is consistent with calculation drivers (e.g. financial market movements). Monitoring cash receipt reports to identify Revenue related items in order to match and prepare journal entries against outstanding invoices. Liaising with other teams as appropriate. Journal entries preparation and posting to the Workday Financial application. Involvement in projects as appropriate. Required Qualifications Accounting qualification. Good understanding of accounting concepts Good Communication skills Proficient with Excel functions (Xlookup, If, Sumifs etc) Ability to be accurate and good attention to detail Dynamic Reliable (Instills trust) Team player Preferred Qualifications Knowledge of reconciliations and ability to do them Previous experience and/or keen interest in the Asset Management industry. Previous work experience in a Finance and/or financial services role Knowledge of Workday, Report systems Good organization skills – i.e. time management, ability to follow and write process documents Good problem solving skills Experience of working with databases, SQL, QlikView and business objects. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Finance

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Transformation team to partner with the Business. Job Summary: As a Data Operations Associate in MART, you will be responsible for reporting MIS activities, analyzing the data, building relationship and communicating with internal team for a project management role - this includes planning, setting communication channels, understanding of the requirement, BRD, UAT testing, regular update to the management. You apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. You use your elevated technical skills to support the design and development of metrics reporting to enable Operations Management to execute their strategic objectives and ensure conformance with all controls, policies, and procedures. Job Responsibilities Prepare client-specific MIS reporting on different frequencies daily basis Manage project to understand and manage client expectations Conduct requirement gathering, testing and prod live Work on adhoc for delivery of data based on accuracy, timeliness and reliable source Gather and supports collaboration on functional requirements from stakeholders and translates them into technical and data requirements Evaluate information and processes for analysis and reporting purposes Validate hypotheses, mitigates risks, and optimizes solutions Required qualifications, capabilities, and skills Minimum 5 years of experience delivering data-driven problem solving or equivalent experience Experience in MIS reporting in Equities operations (trades, cash and trade life cycle) Hands-on Working experience in BI tool – Qlikview, Alteryx and tableau is a must Excellent communication, presentation (both oral and written) & influencing skills Project management and Business analysis experience, gathering requirements, user acceptance testing and planning Ability to manage multiple BAU/Adhoc - priorities and projects coupled with the flexibility to quickly adapt to ever-evolving business needs Demonstrate independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems. Must be able to communicate complex issues in a crisp and concise manner to stakeholder’s excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations. Team player with the ability to work productively within a group. Proficient using Microsoft Project, Word, Excel, and PowerPoint Intermediate Microsoft Office suite experience Preferred qualifications, capabilities, and skills MBA/ Bachelor’s degree Domain knowledge of Equities (Cash and Derivatives) will be a plus

JOB PURPOSE To design new dashboards /complex reports in Qlik Sense and Nprint. Write SQL and Prepare report in SSRS/Analytical Tool To modify and provide support to the existing dashboards creating the next major release that incorporates new features from user feedback. To monitor and support the existing Qlik and Nprint Tasks. Should able to handle the QLIK Replicate Tool (CDC) Core Responsibilities Participate in full development lifecycle from system design, development, and testing and production implementation Extract, transform and load data from multiple sources into Qlik Sense. Write Query in MS SQL and prepare report as per business need Perform data and systems analysis to translate business needs into technical code, as well as maintain and support code Troubleshoot issues with existing data model and dashboards. Modify existing dashboards creating the next major release that incorporates new features from user feedback. Monitor the current ongoing Tasks. Understanding of Database design and manage the Database from BI perspective Should able to handle the QLIK Replicate Tool (CDC)

We are hiring ETL & Data Warehousing Developer (SQL + Qlik / BI Tools)Location: Pune / HyderabadExperience: 5+ YearsPriority Hire – Immediate Joining Preferred Key Responsibilities:Design, build, and optimize robust ETL workflows to integrate data from diverse sources into our data warehouse.Implement data quality and validation checks to ensure accuracy and consistency.Translate business requirements into effective data models and transformation logic.Write complex SQL queries to extract, transform, and load data efficiently.Develop star and snowflake schema data models for analytical reporting.Partner with BI teams to integrate ETL pipelines with Qlik Sense or other BI tools.Maintain and enhance the current data warehouse infrastructure for scalability and performance.Troubleshoot data anomalies and recommend long-term solutions. Required Skills:Minimum 5 years of hands-on experience in ETL development and Data Warehousing.Strong command over SQL and RDBMS (Oracle, SQL Server, PostgreSQL, etc.).Experience with leading ETL tools like Informatica, Talend, DataStage, or similar.Solid knowledge of dimensional modeling, star/snowflake schemas, and data integration best practices.Strong performance tuning experience for both SQL and ETL jobs. Good to Have:Experience with Qlik Sense, QlikView, or Qlik Replicate.Exposure to Power BI, Tableau, Looker, or other visualization tools.Familiarity with cloud platforms (AWS, Azure, GCP).Knowledge of data governance, data cataloging, and metadata management. Educational Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field.

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to: Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Master's Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Master’s degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

- Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning This role will be a part of the International Emerging Stores team, and will own the mission of providing the emerging shoppers the best value for their money. The emerging shoppers are value concious and like to maximize their savings as they shop. Today, they struggle to discover extra savings such as deals, discounts and cashback, and find it challenging to do the mental math to compute total savings. Key job responsibilities The role will think big in re-imagining shopping experience for emerging shoppers to maximize their savings and help them buy the highest value product within their budget. The key responsibilities include drafting a long term vision, strategy and roadmap, envisioning experiences that will delight new & existing customers and partnering with key stakeholders across business & technology teams to execute the product roadmap. The role is also expected to influence global partner teams to build the envisioned experiences and launching them globally across emerging shoppers WW. The ideal candidate for this position comes with strong product management experience, is customer obsessed, data driven and is able to operate with minimal supervision. They should have strong problem solving skills, be able to influence partner teams and juggle multiple tasks with competing deadlines. Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The Control Management Group's (CM) mission is to solidify an effective Firmwide control framework within and across the lines of business by identifying and remediating control issues with a sense of urgency, regardless of the source. Job Summary As an Associate within the Controls Management team will work collaboratively with other control disciplines and will oversee existing control functions as well as the development of new control functions and protocols. This process will enable the firm to engage the appropriate teams in a timely manner and provide the ability to quickly remediate critical control issues across all the impacted areas of the firm. Job responsibilities Work with the Automation lead to identify and deliver Analytics and report automation solutions Develop best in class Dashboards/visualizations to generate actionable insights Develop scalable data preparation, maintenance, and reporting procedures that can be leveraged by business units and functional areas across the firm Implement data evaluation techniques aimed at measuring business risks and control issues Develop re-usable tools that can be leveraged by business units across the firm Collaborate with business managers and developers to integrate the results with existing systems Comply with JPMC procedures and QA best practices to ensure the quality of data, models and outputs Stay abreast of new tools and technologies to practice up-to-date data evaluation strategies Collaborate with stakeholders across the firm to integrate results with existing systems and processes Required qualifications, capabilities, and skills 8+ years of BI/Analytics experience Master’s or a graduate degree in Computer Science, Statistics, or a related quantitative field Solid database skills: 5 years’ experience in ETL using Alteryx. 5 years’ experience in Dashboarding using Tableau Knowledge of Qlikview/Qliksense Ability to learn quickly, adjust to changes and think outside the box Should be flexible with EMEA shifts