6244 Data Analytics Jobs - Page 18

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. The candidate 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, the 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. Process Manager Role and responsibilities: Develop and maintain pricing models (Deal Calculators) to support data-driven pricing decisions. Conduct profitability and margin analysis on different services to optimize pricing and revenue. Track and report on key pricing performance indicators, including revenue, margins, charge out rates, pyramid etc. Collaborate with the sales and delivery teams to support the development of pricing proposals. Present pricing recommendations and performance insights to cross-functional teams, including sales, delivery and pre-sales Identify and implement process improvements in pricing data collection, analysis, and reporting. Leverage data analytics and visualization tools to improve the efficiency and effectiveness of pricing insights. Monitoring and reporting on pricing performance and competitiveness Preferred candidate profile: MBA in finance or CA with 2-3 years of prior experience in a similar role including exposure to managing pricing processes, implementing pricing initiatives, and creating pricing process documentation In-depth knowledge of BI tools (Tableau, Cognos, etc) Strong understanding of pricing strategies and concepts, analytical and quantitative skills, with experience in financial modelling and data analysis. Proficiency in Microsoft Office tools

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: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

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: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

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: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

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: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

ABOUT THE DEPARTMENT Distribution Planning & Program Management (DPPM) is the centralized strategy and support unit for all sales channels and distribution of the organization. It connects the sales and distribution team with all the other functions in the company and plays as a powerful leverage-point for driving the improvements in sales behavior and effectiveness that result in revenue and profitability gains. Please refer the DPPM page on Connect for more information PURPOSE OF THE JOB Incumbent will be responsible for: Analyze trends and give insights to improve new business conversion, drive product mix. Gather feedback from Sales force on key aspects like products, sales processes etc and get the same implemented. The job also involves coordination with key stakeholders in Sales channels, Operations, Products, and Business Insights DUTIES & RESPONSIBILITIES A. New Business Enhancement analysis - Analyze new business contributing avenues, adoption and provide observation on improvements across factors 1. Pendency Analysis across channels and providing observations around buckets to be converted to reduce TAT 2. Identification of bottlenecks in NB process, FR submission, etc. 3. MIS activation for measurement and daily tracking of company new business and opportunity 4. RCA on company initiated cancellations for sufficiently funded cases to identify issues and CAPA 5. Drive submission of pending FR's through whatsapp and email modes and analyse adoption and effectiveness of the same 6.Sample Analysis on FR submissions across channels and providing observations around buckets. 7.Channel Governance on Term & Non-Term conversion numbers on monthly basis. B. Formulate analysis on Product Mix MIS/Profitability score for sharing the same with management as applicable. 1.Publish Profitability score of Par, Npar, UL, Savings and Pensions across channels. 2.Publish Target Vs Achievement records on across channels as well as compnay level. 3.Prepare Product mix council & Review Slides presentation for departmental MBR as and when required. 4.Publish Additional reports/Data Analysis as applicable. C. Front line sales connect insighting 1. Connect with FLSs .for insighting and enablement of DPPM driven levers, take feedback on Products / Sales Processes / Servicing / Ops, etc and get the feedback implemented from concerned stakeholders- Suggest and implement tactical changes that will impact business in long run 2. Regular Competition benchmarking of product/service offerings which can be used to enhance company offerings. D. Automation of dashboards to generate reports on a regular basis 1.Call Center Conversion and TAT Dashboard- Create an automated dashboard on Call Center conversion and TAT to be shared on a daily basis as soon as dispositions are generated 2.Automation of MIS set to ED. Candidate must have: Overall 2-3 yrs insurance industry experience Graduate (Any stream)

Experience Minimum of 2 years of experience in AI/ML/Data Science Summary: The Associate AI/ML/Data Science will be responsible for assisting with the development and deployment of AI/ML models and solutions. They will work with cross-functional teams to collect and analyze data, build models, and implement solutions to help the organization make data-driven decisions. Key Skills: Strong understanding of machine learning algorithms and techniques Proficiency in programming languages such as Python, R, or SQL Ability to collect, clean, and manipulate data Knowledge of data visualization techniques Excellent problem-solving and analytical skills Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, or related field 2+ years of experience in AI/ML/Data Science Strong understanding of machine learning algorithms and techniques Proficiency in programming languages such as Python, R, or SQL Ability to work in a fast-paced and agile environment Responsibilities: Assist with the development and deployment of AI/ML models and solutions Collect and analyze data to inform model development Build and test AI/ML models Implement solutions and integrate with existing systems Collaborate with cross-functional teams to ensure solutions meet business needs Continuously monitor and improve model performance Stay up-to-date with the latest AI/ML technologies and techniques. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research ExpertiseDemonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies CommunicationDemonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters CollaborationDemonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

The Opportunity As a UX Research Coordinator at FICO, youll work closely with UX researchers, product designers, and cross-functional partners to support and operationalize our user research initiatives. Your role is pivotal in scaling our research practice, enhancing participant recruitment processes, streamlining logistics, and ensuring our researchers are able to focus on what matters most, understanding our users. If you're organized, resourceful, and passionate about research in high-impact enterprise technology, wed love to hear from you - Hiring Manager What You'll Contribute Coordinate end-to-end logistics for user research studies, including usability testing, in-depth interviews (IDIs), surveys, and diary studies, across multiple product teams and geographies. Build and manage relationships with research participants, internal user communities, and external recruitment partners. Maintain and evolve our research operations toolkit (tools, templates, scheduling automations). Monitor and manage participant incentives and logistics, ensuring excellent participant experience and compliance with FICO and regional policies. Support the UX Researchers by scheduling sessions, preparing briefs, and assisting with note-taking and early synthesis where appropriate. Help compile participant screener documents, recruit lists, NDAs, and study protocols in coordination with Legal and Compliance teams. Track and organize research insights using tools like Dovetail or Airtable. Improve and maintain our internal documentation and knowledge bases on research best practices. Assist with the growth and organization of our participant panels globally, tailored to specific roles and domains (Risk Managers, Data Scientists, Analysts, and Decisioning Engineers). What We're Seeking 3+ years of experience in UX Research, Research Operations, Project Coordination, or User Experience in an enterprise SaaS or data-driven environment. Previous experience working with or supporting user researchers, product designers, or experience design teams at scale. Highly organized, detail-oriented, and comfortable working in fast-paced and matrixed environments. Experience with research and productivity tools such asUserTesting, UserZoom, Dovetail, Figma, or equivalent platforms. Excellent written and verbal communication skills in English. Ability to work with US-based, Europe-based, and India-based teams across time zones. Prior experience supporting research for highly technical audiences (e.g., data professionals, analysts, engineers). Familiarity with privacy and compliance regulations around user research (GDPR, CCPA). Previous exposure to the financial services, data analytics, or enterprise software industry is a big plus. Passion for elevating research operations as a strategic function within UX teams. Working knowledge of Confluence and Jira for knowledge management and tracking. Bachelors degree in Human-Computer Interaction, Psychology, Business Administration, Communications, or a related field. Advanced degrees or certifications in UX Research, Project/Research Management (such as ROPs) are a plus. Our Offer to You An inclusive culture strongly reflecting our core valuesAct Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today Big Data analytics. Youll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide Credit Scoring FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security 4 billion payment cards globally are protected by FICO fraud systems. Lending 3/4 of US mortgages are approved using the FICO Score. Learn more about how you can fulfil your potential at

Understanding of Aero Engine Parts & Modules Study and understand different aspects of Bill of material (BOM) and its structure. Understand various manufacturing processes for aero engine parts and gather necessary knowledge of supply chain management. Understand aero engine parts cost management process and terminologies. Study different costs involved in calculating the total part cost Familiarize engineering change processes and method of implementing cost reduction ideas. Understand opportunities for cost reduction and risks that impact cost. Familiarize terminologies involved in rolling up engine cost and cost projections based on individual part cost. Understand engine cost roll up calculations, cost projections and escalations Create engine cost roll up based on BOM and prepare various reports in excel based on customer requirements. Make a comparison of two data sets in excel and prepare reconciliation reports. Prepare cost analysis dashboards in excel based on the different parameters. Prepare list of changes suggested by customer and prepare comparison report and cost impact on roll up. Understand investment audit (IA) process and steps involved in preparing IA report. Proactively understand business requirements and come up with alternate solutions and improvement ideas. Understand Power BI dashboards and validate the engine cost data and trends. Understand and extract data from 3D models & Drawings. Proactively understand latest types and advanced methods to represent data in MS Excel dashboards.

About The Role : Job Title- Name List Screening and Transaction Screening Model Strats, AS Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Support the design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 13 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the banks products and services, including those related to corporate banking, investment banking, private banking, and asset management How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

SFour Media Private Limited is looking for Email Support Specialist to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

SFour Media Private Limited is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

About The Role : Job Title - ESG Engine Core Engineer Location - Mumbai, India Role Description About DWS DWS, publicly listed asset management division of Deutsche Bank, is one of the world's leading investment management organizations with billions of assets under management. DWS provides flexible products and solutions to a wide range of investment opportunities across all asset classes from pooled funds to highly customized portfolios for a wide range of investors and offers individuals and institutions traditional and alternative investments across all major asset classes. About the DWS ESG Engine team Our dedicated DWS ESG team is part of DWS Platform Sustainability team with activities integrated into the investment process, designed to go beyond the fiduciary duties. Our proprietary DWS ESG Engine uses data from multiple vendors which allows us to rely on amongst the best data sources available for analysis. The wealth of information available from these providers means that the DWS ESG Engine has access to more than 50 million data points for over 10,000 companies. The software translates the available data into a consistent evaluation process, to derive DWS ESG ratings which are used for investment process. About DWS India (P) Ltd DWS India (P) Ltd., is a wholly owned subsidiary of DWS Group GmbH & Co. KGaA (part of Deutsche Bank Group). Our teams in Mumbai focuses on Research & Analytics, Portfolio Management Support, Business Management Support, etc. across all divisions of DWS Group What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities As an ESG Analyst you are part of the DWS ESG Engines ESG Engine Core Team. The ESG Engine Team is part of DWS international Platform Sustainability Team, which has a dual reporting line into DWS Chief Investment Officer and the Head of the Product Division. Maintains the technical backbone of the ESG Engine (SAS, Perl, Python) Ensure a healthy and supporting framework to empower business engineering (that isbusiness users with affinity but not necessarily full stack skills can implement and program business logic). Maintain and enhance the usage of Domain Specific Languages which are used to describe re-curing patterns of business logic (exampleclassification logic / filters) Supports ESG Engine algorithmic engineers in using those Build & maintain a set of tools that smoothen change & release management. Your skills and experience Education and Experience Advanced coding experience in at least 1 of Perl, Python, SAS or similar language Experience in professional software development, preferably in data/scientific programming (versioning, testing, co-authoring etc) Basics in compiler design / theoretical computer science Masters degree STEM (Science, Technology, Engineering, Mathematics) Proficiency in MS-Office Strong analytical skills and mindset; accuracy/quality-first attitude Competencies Highly motivated, self-sufficient and ability to learn quickly Intercultural competence, superior communication skills and strict attention to detail Highly structured and dedicated approach to work High interest in taking on new challenges Ability to work independently and as part of the team High level of comfort in dealing with different levels of management How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

About The Role : Job TitleAnalytics Analyst, AS LocationBangalore, India Role Description Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. Work includes Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques Examining and identifying data patterns and trends to help answer business questions and improve decision making Identifying areas to increase efficiency and automation of data analysis processes Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on: Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions Representing the bank as a data science practitioner in industry initiatives At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Programming & Scripting: Strong Python programming skills for data analysis, automating tasks and building custom solutions. Strong SQL knowledge Experience with shell Alteryx and Tableau and added advantage. Data Analysis & Interpretation: Ability to identify trends, patterns, and insights from data. Strong analytical and problem-solving skills. Data Preparation & Transformation: Proficiency in data cleansing, transformation, and integration from various sources. Experience with data wrangling, including handling missing values, outliers, and data type conversion. Data Visualization & Reporting: Ability to communicate insights effectively through data storytelling. Expertise in creating interactive dashboards, visualizations, and reports. Communication & Collaboration: Ability to clearly communicate findings and recommendations to both technical and non-technical audiences. Ability to work effectively in a team environment. Tools Mentioned: Python: For coding, advanced analytics, reporting, visualization and automation. SQL : Advanced for data extraction, manipulation, integration Alteryx: For data preparation, transformation, and integration. Tableau: For data visualization and reporting. Your skills and experience 5-8+ years of proven experience in developing and working on Python A solid understanding of SQL, relational database management system, data modeling Experience working on Alteryx and Tableau an added advantage Strong communication skills. Attention to detail and accuracy. How well support you

Were looking for an awesome Pinterest Client Solutions Manager , who can manage our key accounts globally that would want to advertise on Pinterest. The role would be managing advertising campaigns on Pinterest as well as being the subject matter expert to consult c-level clients. What youll do: Manage and grow post-sale client relationships with top-tier, global advertisers. Conduct regular business reviews and take a consultative, long-term approach to build productive relationships with clients, in collaboration with the sales team. Serve as external product consultant educating clients and their agencies on product solutions and best practices for Pinterest, and ultimately grow existing business partnerships. Manage significant global structures and scaling challenges with the main objective to ensure continued customer success and growth. Analyze campaign performance data, creatives, and products to offer clients data-driven business insights and at the same time identify new opportunities and strategies to grow customers business (e.g. entering new markets, and launching new products or product updates). Kick-off campaigns with clients and manage all timelines, assets and opportunities for optimization, provide step-by-step consulting and guidance from planning to execution of new solutions. Capacity to offer hands-on campaign setup and management services. Resolve clients issues proactively, efficiently, and support by implementing solutions that prevent future problems. Serve as a subject matter expert shedding light on industry trends and insights. Work closely with teams of Account Leads, Industry Directors, Market Leads, Design & creative, Data, and Analytics. What were looking for: A Bachelors degree or higher, preferably in Marketing, Economics, Social Sciences, or similar. Expertise in Performance Marketing (media buying and management): user acquisition with exceptional abilities to follow and reach KPIs. Willingness to study and .understand Pinterest Ads Manager. Detail-oriented and able to successfully manage and execute multiple projects simultaneously. Ability to efficiently communicate internally and externally with excellent communication skills in English. Extensive expertise in social media advertising and data analytics. Experience with media planning, budgeting, and execution of 7-figures media budgets in top-tier markets (US, CA, CEE, MENA, APAC or LATAM) Proven Industry expert in eCcommerce. Proactive attitude with excellent project management, organizational, and analytical skills, including excellent excel skills. Strong knowledge of Product Unit Economics, Customer Segmentation Analysis, and how key product metrics affect the revenue (Retention Rate, ARPU, ARPPU, LTV). Growth hacking mindset. Outstanding knowledge of trends, markets, and opportunities. Experience diagnosing and solving technical problems with product and engineering teams is a big plus

Are you ready to join our digital revolution journey? At Aleph, we re not just part of the digital advertising landscape we re shaping its future. Representing the world s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies. Our mission is to empower advertisers and brands to unlock the full potential of these platforms advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels. With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Were looking for an awesome Pinterest Client Solutions Manager , who can manage our key accounts globally that would want to advertise on Pinterest. The role would be managing advertising campaigns on Pinterest as well as being the subject matter expert to consult c-level clients. What youll do: Manage and grow post-sale client relationships with top-tier, global advertisers. Conduct regular business reviews and take a consultative, long-term approach to build productive relationships with clients, in collaboration with the sales team. Serve as external product consultant educating clients and their agencies on product solutions and best practices for Pinterest, and ultimately grow existing business partnerships. Manage significant global structures and scaling challenges with the main objective to ensure continued customer success and growth. Analyze campaign performance data, creatives, and products to offer clients data-driven business insights and at the same time identify new opportunities and strategies to grow customers business (e.g. entering new markets, and launching new products or product updates). Kick-off campaigns with clients and manage all timelines, assets and opportunities for optimization, provide step-by-step consulting and guidance from planning to execution of new solutions. Capacity to offer hands-on campaign setup and management services. Resolve clients issues proactively, efficiently, and support by implementing solutions that prevent future problems. Serve as a subject matter expert shedding light on industry trends and insights. Work closely with teams of Account Leads, Industry Directors, Market Leads, Design & creative, Data, and Analytics. What were looking for: A Bachelors degree or higher, preferably in Marketing, Economics, Social Sciences, or similar. Expertise in Performance Marketing (media buying and management): user acquisition with exceptional abilities to follow and reach KPIs. Willingness to study and .understand Pinterest Ads Manager. Detail-oriented and able to successfully manage and execute multiple projects simultaneously. Ability to efficiently communicate internally and externally with excellent communication skills in English. Extensive expertise in social media advertising and data analytics. Experience with media planning, budgeting, and execution of 7-figures media budgets in top-tier markets (US, CA, CEE, MENA, APAC or LATAM) Proven Industry expert in eCcommerce. Proactive attitude with excellent project management, organizational, and analytical skills, including excellent excel skills. Strong knowledge of Product Unit Economics, Customer Segmentation Analysis, and how key product metrics affect the revenue (Retention Rate, ARPU, ARPPU, LTV). Growth hacking mindset. Outstanding knowledge of trends, markets, and opportunities. Experience diagnosing and solving technical problems with product and engineering teams is a big plus #ALEPH Why Join Us? Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities. We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together. Share our similarities, celebrate our differences. M. Scott Peck #ALEPH

About the Team The Motor OD (Own Damage) Claims team is a critical function within our Insurance Business team, dedicated to providing efficient and customer-centric claims services for all motor insurance policyholders. About the Role As the Head Motor OD Claims, you will be a key member of the Insurance team, responsible for shaping and executing the overall strategy for motor own damage claims. This role involves leading and managing the Motor OD claims operations, ensuring seamless processing, cost optimization, and superior customer experience. You will be instrumental in building a high-performing team, establishing robust processes, leveraging technology, and managing a vast network of surveyors and workshops, all while ensuring strict adherence to regulatory guidelines and robust fraud control mechanisms. Your leadership will directly impact customer satisfaction, operational efficiency, and the financial health of the company. Must Haves Minimum of 8+ years of experience in managing Motor OD Claims Proven track record of successfully leading large claims teams and managing pan-India operations/ large-regional operations Demonstrable experience in claims strategy formulation and execution What We Expect From You Lead Motor OD Claims with strategic alignment to business goals Drive efficiency through SOPs, automation, and KPI tracking (TAT, NPS, cost) Ensure accurate, fair, and timely claim settlements Control costs and leakage while ensuring regulatory (IRDAI) compliance Build and mentor a high-performing, customer-focused claims team Develop and manage a quality network of surveyors and garages with SLAs Champion a customer-first approach; handle escalations and improve experience Implement robust fraud detection and investigation mechanisms Stay current with industry trends, technologies, and regulatory changes Use data analytics for insights, reporting, and continuous improvement Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal Home Loans to UPI, Insurance, Mutual Funds, and Gold we re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal Ankit Agarwal in 2018, we are one of India s fastest-growing financial services organisations. But we re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We re looking for people who dream big when it comes to innovation. At Navi, you ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other and that starts with every one of us. Why Youll Thrive at Navi At Navi, it s about how you think, build, and grow. You ll thrive here if You re impact-driven You take ownership, build boldly, and care about making a real difference. You strive for excellence Good isn t good enough. You bring focus, precision, and a passion for quality. You embrace change You adapt quickly, move fast, and always put the customer first.

About The Role Job Title - + + S&C Global Network) Management Level:Analyst Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:IT Strategy, Optional Skills: Operating Model Design, Enterprise Architecture, Smart City Solutions, IoT & Sensor Networks, Sustainability & Green Initiatives, Data Analytics & AI, Transportation & Energy Management, Public Sector Consulting, Stakeholder Engagement, Project Management, Smart Infrastructure Deployment, Government & Public Sector Expertise, SAP MM, SAP PS, SAP SD. Experience:Minimum 3 year(s) of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary Looking for a driving style Analyst with exceptional skills in communication to produce quality deliverables for the client. As the Consultant in Smart connected products, you will work closely with the Manager/Sr. Manager to define and develop various Assets and Offerings in NPD, R&D, Portfolio and Smart Connected product area. Roles and responsibilities Lead cross-functional collaboration between city planners, public agencies, and technology partners to ensure successful integration of smart city solutions and alignment with urban development goals.Drive project implementation by overseeing the design, development, and deployment of smart city components, ensuring scalability, sustainability, and operational efficiency.Apply a data-driven approach to monitor project performance, leveraging real-time analytics and sensor data to inform decisions and optimize smart city services.Engage with key stakeholders, ensuring clear communication of strategic priorities and gaining support for smart city initiatives.Facilitate public-private partnerships to enable collaboration between government bodies, technology vendors, and infrastructure providers, fostering innovative and sustainable urban solutions.Champion sustainability efforts, ensuring that smart city projects incorporate eco-friendly technologies and adhere to regulatory standards for energy efficiency and environmental impactQualification Professional and Technical Skills Proven experience in developing and executing IT Strategy for Smart Cities projects, aligning technology initiatives with urban development goals and public services.Strong expertise in Operating Model Design, including the creation of scalable, sustainable, and resilient operational frameworks for Connected and Smart Spaces.Demonstrated proficiency in Enterprise Design, focusing on building integrated digital architectures that enable seamless communication across smart city infrastructure, government agencies, and public services.Hands-on experience in implementing Smart City solutions for Government and Public Sector clients, with a focus on transportation, energy management, public safety, and environmental monitoring.Deep understanding of IoT-enabled smart systems, including sensor networks, data collection, and real-time analytics to improve urban planning and service delivery.Experience working with public-private partnerships to foster collaboration between governments, technology vendors, and city planners in the deployment of smart infrastructure.Familiarity with regulatory frameworks and compliance requirements in the public sector for Smart City implementations, ensuring alignment with legal and security standards.Knowledge of sustainability and green initiatives, ensuring that Smart City projects incorporate eco-friendly technologies and energy-efficient solutions. Additional Information Exceptionally organized and detail orientedGood judgement in how to engage with senior stakeholders regarding approvals/ follow upsStrong communication skillsProactive and able to work independentlySensitivity and skill at working with different cultures and stylesA highly motivated self-starter

About The Role Skill required: Delivery - Fraud Data & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization. What are we looking for Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more. An expert in SQL, Tableau, preferred to have Python based data analytics experience Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more Fraud analytics:5+ years Data and ML analytics:3+ years Reporting analytics, e.g. tableau:5 + years Roles and Responsibilities: Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention Develop data insights to help understand customers banking behavior and preferences Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods Find insights from risk data sets to improve fraud strategies and rules Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases Qualification Any Graduation

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Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, your typical day involves creating interactive interfaces that facilitate the understanding and communication of complex data and insights. You will engage in data wrangling, analysis, and preparation to ensure the delivery of relevant, consistent, timely, and actionable insights. Your role will also include leveraging modern business intelligence and storytelling techniques, along with web-based visualization tools, to develop interactive dashboards and reports. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Develop and maintain documentation for processes and best practices related to data insights and visualization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in creating interactive dashboards and reports that effectively communicate insights.- Familiarity with generative artificial intelligence and its application in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Delivery - Fraud Risk Management Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Business and regulatory requirements, governance, operating model, process and system controls to identify, detect, measure, prevent and report internal and external fraud for an organization. The fraud strategy program managers will work for the Fraud Risk & Solutions manager to design and implement innovative and robust fraud controls across financial products and customer journeys from application to account closure, which strengthen fraud prevention measures and enhance digital experience. This role requires fraud domain expertise, data analytics skills, and the ability to track & manage engineering projects on a day-to-day basis. What are we looking for Conduct data analysis, running queries to process large-scale datasets involving millions of identities and transactions to develop data-driven fraud solutions Perform root-cause analysis and fraud investigations, leveraging fraud review tools and vendor systems such as SentiLink, iOvation, ThreatMetrix, LexisNexis, etc Work with SQL, Tableau, and Looker for data analysis and reporting Ensure compliance with KYC, CIP, AML, Reg E, and other fraud-related regulations and guidelines Product/program/project management:5+ years Fraud prevention, fraud management Fraud RCA:2+ years Data analytics:1+ year Roles and Responsibilities: Develop, implement, and enhance fraud prevention controls to identify and mitigate fraud risks, including but not limited to identity fraud, account takeover fraud, and transaction fraud Manage engineering development and fraud risk implementation projects, preparing PSR, PRD, and solution documentation. Working with the engineering team in daily standup, grooming sessions to clarify all the requirements details support accuracy and smooth engineering implementation Collaborate closely with fraud analytics and fraud operations teams to design effective fraud prevention methods that balance fraud controls and customer experience In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally. interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

About The Role Skill required: Delivery - Fraud Data & Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization. What are we looking for Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more. An expert in SQL, Tableau, preferred to have Python based data analytics experience Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more Fraud analytics:5+ years Data and ML analytics:3+ years Reporting analytics, e.g. tableau:5 + years Roles and Responsibilities: Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention Develop data insights to help understand customers banking behavior and preferences Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods Find insights from risk data sets to improve fraud strategies and rules Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases Qualification Any Graduation

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education**Position Summary :** The Manager - Enterprise Data Analytics will lead the Enterprise Data Analytics team, ensuring the delivery of high-quality insights and reports. The role requires managing data strategy, guiding a team of analysts, and collaborating with stakeholders across the organization to drive data-driven decision-making. **Key Responsibilities:** - Develop and execute the data analytics strategy in alignment with organizational goals. Lead, mentor, and manage a team of data analysts, business analysts, and data scientists. Collaborate with cross-functional teams (Sales, Marketing, Finance, etc.) to understand data needs and deliver actionable insights. Oversee the creation and maintenance of dashboards, reports, and other data visualization tools. Ensure data accuracy, quality, and security in all analytics processes. Drive innovation in data analytics by adopting new tools, methodologies, and best practices. Manage timelines, budgets, and resources for analytics projects. Define and execute the strategic vision for the Enterprise Data Analytics team. Foster collaboration between cross-functional teams to align data strategies with business objectives. Oversee the design, implementation, and maintenance of enterprise-level data systems. Drive innovation by identifying and incorporating emerging data analytics technologies. Manage budgeting, resource allocation, and team development initiatives. ** Qualifications:** - Bachelor's degree in Data Science, Computer Science, or a related field; Master's degree preferred. 8+ years of experience in data analytics, with at least 3 years in a managerial role. Strong leadership and team management skills. Expertise in tools like Power BI, Tableau, SQL, Python, or R. Excellent communication and stakeholder management skills. Qualification 15 years full time education