1448 Bi Jobs - Page 24

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a Sr Data Analyst for Targets Merch Data Analytics team youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years expQualification:B.Tech/ B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools.3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets.4. Hands on experience in R, Python, Hive or other open-source languages/database5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above6. Git source code management & experience working in an agile environment.7. Strong attention to detail, excellent diagnostic, and problem-solving skills8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.10. Excellent communication, service orientation and strong relationship building skills11. Experience with Retail, Merchandising, Marketing will be strong addons

Collaborate with Bid Management and Sales teams to structure winning proposals. Create solution documentation including SOWs, compliance matrices, and assumptions.

6+ years of hands-on experience in data analysis or BI reporting roles. Strong SQL skills for data wrangling, transformation, and analytics (BigQuery, SQL Server, or similar). Power BI - Proven expertise in report development, DAX, modeling, and storytelling. Looker exp is a bonus. Excellent analytical thinking and ability to draw actionable insights from complex datasets. Strong communication skills - both written and visual - to engage stakeholders.

Job Description - Pre Sales Engineer Job Title: Pre-Sales Engineer - Data & AI Solutions (Industry: Manufacturing, Supply Chain, Retail, CPG & Aviation) Department: Pre-Sales / Industry Solutions Job Summary: We are seeking a dynamic and experienced Pre-Sales Engineer with a strong foundation in Data & AI Solutions and a domain focus on Manufacturing, Supply Chain, Retail, CPG and Aviation . You will be responsible for solution positioning, customer engagement and proposal ownership to drive business growth. The ideal candidate will blend industry knowledge, technical expertise and strategic thinking to craft value-driven solutions aligned with client needs. Key Responsibilities: Pre-Sales & Solution Consulting Lead end-to-end pre-sales lifecycle from requirement discovery, proposal development, solutioning and client presentations. Collaborate with cross-functional teams (Sales, Delivery, Solution, Data Science) to craft tailored solutions leveraging AI/ML, Data Engineering, BI, Cloud and Industry 4.0 technologies. Translate client pain points into value propositions, solution blueprints and technical architectures . Industry-Focused Solutioning Create industry-specific use cases and demos aligned with domain challenges in: Manufacturing (OEE, Predictive Maintenance, Quality Analytics, Digital Twin) Supply Chain (Demand Forecasting, Inventory Optimization, Logistics Analytics) Retail & CPG (Assortment Optimization, Customer Insights, Pricing and Promo Effectiveness) Aviation (MRO Optimization, Delay Prediction, Parts Lifecycle Analytics) Client Engagement & Enablement Conduct client workshops, discovery sessions, PoCs , and technical deep dives to shape solution understanding and buy-in. Act as a trusted advisor to clients and internal stakeholders on data and AI maturity journeys . Proposals, RFPs, and Documentation Own and contribute to proposals, SoWs, RFP/RFI responses and collateral creation (solution decks, value maps, case studies). Ensure all deliverables meet quality, timeline, and alignment expectations. Market and Technology Insights Stay ahead of emerging trends in AI, GenAI, IoT, Digital Twin, LLMs, and cloud platforms (Azure, AWS, GCP). Continuously gather competitive intelligence and benchmarking insights to strengthen solution offerings. Qualifications: Bachelors or Masters degree in Engineering, Business, Data Science or a related field. 3 to 5 years of experience in pre-sales, solutioning or consulting roles with focus on Data & AI solutions . Deep understanding of data architectures , AI/ML workflows and business intelligence platforms . Exposure to industry processes, KPIs and digital transformation use cases in Manufacturing, Retail/CPG, and Supply Chain. Proficient in tools such as Power BI/Tableau, Azure/AWS, Python/SQL , and knowledge of ML lifecycle tools (MLflow, Databricks, SageMaker). Preferred Skills: Experience working with SAP, Oracle, Snowflake , and integrating with enterprise systems. Understanding of IoT protocols (MQTT, OPC UA) and smart manufacturing practices . Strong communication and storytelling skills – ability to influence CXOs and business/technical teams . Agile, collaborative, and customer-first mindset. Why Join Us? Be at the forefront of industry innovation in Data & AI . Work across diverse industries and global clients . Opportunity to lead flagship initiatives and cutting-edge solution launches . Empowerment to contribute to IP creation, accelerators, and playbooks . If interested send your updated resume at chaity.mukherjee@celebaltech.com

Role Objective We are currently seeking a Associate - BI Analytics to contribute to Analytics & BI Development process. This is a hands-on technical and Individual Contributor role. This position requires that the candidate having knowledge on Advance Excel, SQL, Pythonand support on Reporting and Analytics applications. The candidate needs to have a strong acumen on technical knowledge and be very structured and analytical in his/her approach. Essential Duties and Responsibilities Primary responsibility involves advanced SQL and advanced Excel report design and development. Publishing and scheduling SSIS\SSRS report as per the business requirements. Will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients. Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs. Would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver. Good understanding of database management systems and ETL (Extract, transform, load) framework Connecting to data sources, importing data and transforming data for Business Intelligence. Experience in using advance level calculations on the data set. Responsible for design methodology and project documentation. Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Should have knowledge and experience in prototyping, designing, and requirement analysis. Qualifications Graduate (BE-BTEC Computer science /BCA/MCA/MSc Computers) or have an equivalent academic qualification Good communication Skills (both written & verbal) Skill Set: Good to have: Academic exposure on design and develop relational database models/schemas and Query performance tuning and write ad-hoc SQL queries. Academic exposure to Snowflake would be ab added advantage Academic exposure with advanced query design, stored procedures, views, functions. Ability to communicate with technical and business resources at many levels in a manner that supports progress and success. Understanding of Python and different libraries - Pandas, Numpy etc Exposure to Cloud Computing such as Microsoft Azure Good knowledge/expertise on different versions of .Microsoft Sql Server 2008, 2012, 2016, 2017, 2020

We are looking for a skilled Sr. Data Scientist with 6 to 8 years of experience to join our team at Xcaliber Infotech Pvt Ltd, playing a crucial role in driving business growth through data-driven insights. Roles and Responsibility Develop and implement advanced data models and algorithms to solve complex problems. Collaborate with cross-functional teams to design and deploy predictive analytics solutions. Work closely with stakeholders to identify business needs and develop tailored data science solutions. Design and implement data pipelines and architectures to support business intelligence initiatives. Conduct thorough analysis of large datasets to extract valuable insights and trends. Communicate complex technical concepts to non-technical stakeholders through clear and concise reports. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with machine learning frameworks like TensorFlow or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Experience with data visualization tools like Tableau or Power BI is a plus.

The Supply Chain Planner is responsible for planning and maintaining daily supply chain operations in one or more functional areas such as materials, production, inventory, logistics, customer service, demand management, or order fulfillment. The role ensures internal and external customers' expectations and requirements are met efficiently while optimizing cost, quality, and delivery metrics. Key Responsibilities: Execute the daily operational planning process for designated functional areas. Identify potential supply chain failures as part of the planning process and mitigate associated risks. Analyze and interpret Key Performance Indicators (KPIs) to identify areas for improvement and develop action plans. Develop strategies within the planning system to optimize supply chain signals and performance. Monitor, adjust, and maintain accurate planning system parameters. Use advanced planning systems and tools (such as Excel, BI dashboards) to support data-driven decisions. Drive inventory optimization through safety stock management and supplier collaboration. Implement and manage Master Production Schedules aligned with customer demand and production capabilities. Coordinate with internal and external stakeholders to develop short-term tactical improvements and long-term strategic planning. Participate in and lead continuous improvement initiatives and functional process improvement teams. External Qualifications and Competencies Technical Competencies: Materials Planning System Utilization: Use planning systems to manage supply/demand and resolve exceptions. Part Change Control Management: Implement engineering changes while minimizing obsolete inventory. Plan for Every Part (PFEP): Ensure timely and accurate delivery of parts across the supply chain. Master Supply Scheduling: Align procurement, production, and replenishment schedules with customer needs. Material Planning: Leverage advanced tools for decision-making around part availability and inventory. Materials KPI Management: Interpret and act on KPIs to drive performance improvements. Skills and Competencies: Must Have: Strong learning agility; demonstrated recent learning of new systems or processes. Excellent prioritization and multi-tasking ability under pressure. Proficient written and verbal communication in English. Deep expertise in material planning and supplier procurement. Hands-on experience in managing material availability, resolving shortages, and ensuring supplier commitment. Proficient in conducting Root Cause Analysis (RCA) and implementing SMART action plans. Preferred / Nice to Have: Working knowledge of allocation and constraint planning. Familiarity with ERP systems (Oracle, SAP). Experience in inventory optimization and managing safety stock strategies. Exposure to managing 3040 critical suppliers and 1,000+ parts in a plant environment. Tools & Systems: Materials Planning Systems (e.g., Oracle, SAP), Advanced Excel, BI Dashboards. Key Competencies (Cummins Capabilities): Communicates Effectively: Delivers clear, concise, audience-tailored communication. Customer Focus: Builds strong customer relationships and delivers customer-centric solutions. Drives Results: Consistently achieves targets, even in challenging environments. Global Perspective: Understands and incorporates global business nuances. Manages Complexity: Solves complex issues with a systematic and analytical approach. Optimizes Work Processes: Continuously seeks efficiency and effectiveness. Collaborates: Works well with others to achieve shared goals. Develops Talent: Helps others grow and succeed. Ensures Accountability: Owns outcomes and takes responsibility. Values Differences: Embraces and leverages diverse perspectives. Additional Responsibilities Unique to this Position Qualifications: Education: Bachelors Degree in Engineering (Required) Experience: 6-10 years of relevant experience in material planning, procurement, or production planning (Mandatory) Demonstrated success in reducing inventory and implementing supply chain improvements (Preferred) Experience working in a manufacturing plant with high part volume and supplier base (Nice to Have) Additional Details: Shift: EMEA Shift Hybrid role

We are seeking a skilled and motivated Data Engineer with hands-on experience in Snowflake , Azure Data Factory (ADF) , and Fivetran . The ideal candidate will be responsible for building and optimizing data pipelines, ensuring efficient data integration and transformation to support analytics and business intelligence initiatives. Key Responsibilities: Design, develop, and maintain robust data pipelines using Fivetran , ADF , and other ETL tools. Build and manage scalable data models and data warehouses on Snowflake . Integrate data from various sources into Snowflake using automated workflows. Implement data transformation and cleansing processes to ensure data quality and integrity. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Monitor pipeline performance, troubleshoot issues, and optimize for efficiency. Maintain documentation related to data architecture, processes, and workflows. Ensure data security and compliance with company policies and industry standards. Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Information Systems, or a related field. 3+ years of experience in data engineering or a similar role. Proficiency with Snowflake including architecture, SQL scripting, and performance tuning. Hands-on experience with Azure Data Factory (ADF) for pipeline orchestration and data integration. Experience with Fivetran or similar ELT/ETL automation tools. Strong SQL skills and familiarity with data warehousing best practices. Knowledge of cloud platforms, preferably Microsoft Azure. Familiarity with version control tools (e.g., Git) and CI/CD practices. Excellent communication and problem-solving skills. Preferred Qualifications: Experience with Python, dbt, or other data transformation tools. Understanding of data governance, data quality, and compliance frameworks. Knowledge of additional data tools (e.g., Power BI, Databricks, Kafka) is a plus.

Key Responsibilities Collect, clean, and preprocess large datasets from multiple sources. Apply statistical analysis and machine learning techniques to solve business problems. Develop, validate, and deploy predictive models and algorithms. Visualize data insights and communicate findings to technical and non-technical stakeholders. Collaborate with product, engineering, and business teams to implement data-driven solutions. Monitor model performance and improve models based on new data and feedback. Stay current with emerging data science techniques and tools. Required Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field. Strong programming skills in Python, R, or similar languages. Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.). Proficient in SQL and database management. Knowledge of data visualization tools (Tableau, Power BI, matplotlib, etc.). Strong understanding of statistics, probability, and algorithms. Excellent problem-solving and communication skills.

- Bachelor s or master s degree in data science, Computer Science, Statistics, or a related field. Minimum of 7 years of experience in data analytics or a related field. Proficiency in data analysis tools and programming languages Required Candidate profile Experience with data visualization tools (e.g., Tableau, Power BI) Knowledge of machine learning techniques and statistical analysis Knowledge on stream processing for near real-time analytics is must

Position Summary We are looking for a dynamic, result-driven, and experienced Oracle Fusion SCM Functional Consultant with 5 to 8 years of experience in Oracle Fusion SCM cloud implementations. The successful candidate will work closely with stakeholders, process owners, technical teams, and project managers to ensure successful end-to-end implementation, configuration, and support of Oracle Fusion SCM modules. You will bring a deep understanding of Oracle Fusion SCM functionality, business processes, and best practices, offering strategic guidance to optimize business performance across supply chain processes. Key Responsibilities 1. Functional Expertise Lead the design, configuration, and implementation of Oracle Fusion SCM modules including but not limited to: Inventory Management Procurement (Self-Service, Purchasing, Supplier Portal) Order Management Product Information Management (PIM) Manufacturing Cost Management Supply Chain Planning Interpret business requirements and translate them into Oracle Fusion SCM solutions that align with business goals. Configure modules according to functional specifications and conduct unit testing to validate results. 2. Requirement Gathering & Analysis Collaborate with business users to gather and analyze business requirements related to supply chain operations. Conduct Fit-Gap analysis to assess current processes vs Oracle best practices. Prepare detailed functional specifications, process flows, and design documents. 3. Implementation & Deployment Lead and contribute to Oracle Cloud SCM full lifecycle implementations including Planning, Designing, Testing, Training, Go-Live, and Post-Go-Live support. Create and maintain configuration workbooks and solution design documents. Support data migration activities including master and transactional data. 4. Testing & Validation Design test scenarios, develop test scripts, and conduct functional testing, integration testing, and user acceptance testing (UAT). Identify, track, and resolve issues, working closely with technical and business teams. 5. Stakeholder Management Liaise between technical teams and business stakeholders to ensure timely and quality delivery of solutions. Provide expert advice and solutions to business users on Oracle SCM processes. Conduct workshops, training sessions, and knowledge transfers for internal users. 6. Production Support & Enhancements Provide post-implementation support, troubleshoot issues, and coordinate with Oracle Support for SRs. Monitor system performance and propose continuous process improvements. Document SOPs, configurations, and change requests for audit and compliance purposes. Required Skills and Qualifications Education Bachelors degree in Engineering, Computer Science, Supply Chain Management, Information Technology, or a related field. Oracle SCM Cloud Certification (Preferred but not mandatory). Experience 5 to 8 years of experience working as an Oracle SCM Functional Consultant. At least 2 full lifecycle implementations of Oracle Fusion SCM Cloud. Proven experience in configuring, testing, and supporting Oracle SCM modules. Functional Skills Strong knowledge of SCM processes including Source-to-Pay (S2P), Order-to-Cash (O2C), Inventory Management, Procurement, and Demand Planning. In-depth understanding of business flows in manufacturing, logistics, procurement, and planning. Knowledge of integration points with other Fusion modules such as Financials, Projects, and HCM. Technical Understanding Familiarity with OTBI and BI Publisher reports. Basic understanding of Oracle PaaS components and REST/SOAP APIs (preferred). Able to work with technical developers to communicate functional specifications and testing needs. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Collaborative and team-oriented mindset. Ability to manage multiple tasks and deliverables in a fast-paced environment. Proactive, self-motivated, and goal-driven. Certifications (Preferred) Oracle Cloud SCM Certification (e.g., Procurement Cloud, Inventory Cloud, Order Management Cloud) PMP / Agile / Scrum certifications (added advantage) Tools & Technologies Oracle Fusion Cloud Applications Oracle BI Publisher / OTBI Excel, PowerPoint, Word JIRA / ServiceNow / HP ALM (for ticketing and project tracking) SQL for data extraction and validation (basic level preferred) Key Deliverables Functional requirement documents (FRD) Fit-Gap analysis documentation Configuration workbooks Test scripts and test cases User manuals and training guides Cut-over and Go-Live support plans Hypercare and stabilization support post Go-Live

Primary Responsibilities: Apply advanced statistical techniques, data science methodologies, and AI practices, including generative AI using GPT models Design, develop, and implement cutting-edge generative AI models and systems Perform data mining, cleaning, and aggregation to prepare datasets for analysis Manage and query data while ensuring high standards of data quality and integrity Communicate complex insights through compelling data storytelling and visualizations using Power BI Leverage ML Ops practices to deploy and manage machine learning models in production environments Collaborate in an agile team setting, actively participating in sprint planning, reviews, and retrospectives Adhere to company policies, employment terms, and evolving business directives, including flexibility in work location, team assignments, and work arrangements 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: 5+ years of experience in data science with a strong foundation in machine learning, statistics, and data science methodologies 1+ years of hands-on experience applying AI to real-world technology solutions Experience fine-tuning LLM hyperparameters and optimizing model configurations for performance and client impact Hands-on experience with ML Ops and deploying models in production Familiarity with embeddings and other advanced data science techniques Proficiency in Python, TensorFlow, NLP, and deep learning frameworks Demonstrated ability to collaborate with cross-functional teams to prototype, build, test, and scale GenAI/LLM-powered solutions Solid background in REST API development, NoSQL and RDBMS design, and performance optimization Proficiency in cloud platforms such as GCP, Microsoft Fabric, Azure Stack, and Azure ML Proven expertise in generative AI and GPT-based model development Proven advanced skills in data storytelling and visualization using Power BI Proven excellent communication and collaboration skills, especially with non-technical stakeholders Proven agile mindset with a proven ability to contribute effectively in agile teams Preferred Qualifications: Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience working with healthcare data and a solid understanding of the healthcare industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves 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. #Nic External Candidate Application Internal Employee Application

We are looking for a highly skilled and experienced professional to join our team as a Strategy Support - DSMG - Retail MFB - Strategy in Mumbai. The ideal candidate will have 2-7 years of experience. Roles and Responsibility Develop and implement bucket-wise collection strategies for post PDM delinquencies. Monitor and analyze delinquency trends, identifying customer segments and high-risk accounts. Implement targeted collection actions based on risk segmentation using behavioral and payment history analytics. Work closely with the collections team, field agents, and legal teams to improve recovery rates and ensure timely resolution. Track collection efficiency metrics such as CE, Roll Back, Flow Rate, and Recovery Rate for different buckets. Provide regular MIS reports and insights to senior management on collections performance, highlighting areas for improvement. Job MBA/PGDM in Finance, Business, or a related field. Expertise in bucket-wise collections strategy for post PDM delinquencies (Bucket 1 & above). Strong analytical skills for portfolio segmentation and risk assessment. Hands-on experience with digital collection tools such as auto-dialers, AI chatbots, and fintech integrations. Proficiency in Excel, SQL, and BI tools for MIS reporting and performance tracking. Knowledge of RBI guidelines and legal recovery processes. Excellent stakeholder management and communication skills.

We are looking for a highly skilled and experienced professional to join our team as a Strategy Support Sales Team - DSMG - Retail MFB - Strategy in Mumbai. The ideal candidate will have 2-7 years of experience. Roles and Responsibility Develop and implement proactive Pre-Delinquency Management (PDM) strategies to identify customers at risk of missing payments. Utilize AI-based risk models, BI dashboards, and early warning signals to segment high-risk borrowers and implement early interventions. Implement automated digital engagement tactics via SMS, WhatsApp, IVR calls, emails, and in-app notifications to encourage timely payments. Collaborate with sales teams and DSMG to improve collection efficiency in X bucket and enhance customer onboarding and risk profiling. Introduce customer education programs and financial literacy initiatives to promote responsible repayment behavior. Develop and execute high-delinquency recovery strategies to maximize collections from aged overdue accounts. Coordinate with legal, arbitration, and settlement teams to resolve X-Bucket cases through legal and out-of-court settlements. Implement skip tracing, asset repossession, and field collection strategies for untraceable or non-responsive customers. Strengthen recovery agent networks and external collection agency collaborations for high-risk accounts. Design performance-linked incentives and collection efficiency targets for X-Bucket recovery teams. Leverage LMS, CRM, and AI-driven analytics to track repayment behavior and optimize collection strategies. Implement self-service payment portals, digital repayment links, and fintech partnerships for seamless recoveries. Explore automated chatbots and AI-driven reminders to enhance early-stage interventions and X-Bucket recoveries. Work with BI teams to develop risk-based dashboards for tracking PDM and X-Bucket performance. Ensure strict adherence to RBI/NBFC collection regulations and ethical collection practices. Handle high-value and sensitive X-Bucket accounts for direct resolution and settlement negotiations. Collaborate with collections, legal, sales, and risk teams to align strategies and improve overall portfolio performance. Train and mentor collection officers and recovery agents on best practices in PDM and X-Bucket recoveries. Job Expertise in Pre-Delinquency (PDM) management and X-Bucket recovery strategies. Strong analytical skills in delinquency forecasting, risk segmentation, and collections optimization. Experience with digital collection tools, AI-based analytics, and fintech repayment solutions. Proficiency in Excel, SQL, and BI tools for performance tracking and reporting. Knowledge of RBI/NBFC collection regulations and ethical recovery practices. Excellent stakeholder management, negotiation, and compliance handling skills. MBA/PGDM in Finance, Business, or a related field.

What You Will Do Lead the reporting and analysis team, ensuring service delivery across various business units and divisions. Serve as a subject matter expert for senior stakeholders and team members. Manage team and cultivate a best-in-class service delivery mindset among emerging leaders. Supervise and mentor frontline supervisors Retain critical resources and identify and onboard top talent. Collaborate with Financial Product Teams, Technology Teams, and Internal Financial Control teams. Promote an environment of innovation, experimentation, and transformation. Stay informed about industry technology and process changes, adopting an external perspective. Provide leadership and mentorship to senior team members. Foster a culture of knowledge sharing and collaborative problem-solving. Work closely with Technology Teams, Data and Analytics Teams, and other functions to align technology and process roadmaps. Drive efficiencies and cultivate a culture of continuous improvement, seeking innovative solutions. Embrace and promote Principle-based Management Leadership. Who You Are (Basic Qualifications) Possess master’s degree in finance and accounting Have at least 10-13 years of experience in financial reporting and planning Have at least 6-8 years of experience in Team management Possess a solid understanding of ERP systems and data flow processes Ability to navigate and integrate multiple data sets into cohesive presentations and actionable recommendations Proficiency in data visualization tools such as Power BI or Tableau communication skills Exhibit problem-solving skills and a proactive approach Experience working in an Agile environment. Who We Are As a Koch company, Koch Global Services (KGS) creates solutions spanning technology, human resources, finance, project management and anything else our businesses need. With locations in India, Mexico, Poland and the United States, our employees have the opportunity to make a global impact.

We are looking for a skilled Senior Data Architect with 15 to 20 years of experience to lead our data warehousing function, setting the vision and direction for driving actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. This role is based in Remote. Roles and Responsibility Define and execute the long-term strategy for our data warehousing platform using medallion architecture and modern cloud-based solutions. Oversee end-to-end pipeline design, implementation, and maintenance for seamless integration with business intelligence tools. Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Establish rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. Implement robust monitoring and alerting systems to quickly identify, diagnose, and resolve data pipeline issues. Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives, serving as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance. Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Represent the data warehousing function in senior leadership discussions and strategic planning sessions. Job Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi-touch) and experience working with paid marketing channels. Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment.

We are looking for a skilled Oracle Fusion Financial Functional Consultant with 10 to 15 years of hands-on functional consulting experience in Oracle Financials, including at least 5+ years in Oracle Fusion Financials. The ideal candidate should have deep expertise in configuring and supporting various modules such as GL, AP, AR, FA, CM, SLA, AHCS, and Projects. Roles and Responsibility Configure and support GL, AP, AR, FA, CM, SLA, AHCS, and Projects modules. Implement financial close cycles, reconciliation strategies, and subledger accounting. Configure Cross-validation Rules (CVRs), Segment Value Security (SVS), and approval workflows. Automate reconciliations using Oracle tools or third-party solutions. Manage intercompany accounting, cross-ledger setups, multi-currency, legal entity frameworks, and chart of accounts design. Ensure compliance with UK financial compliance requirements, including VAT, Making Tax Digital (MTD), statutory reporting, and audit readiness. Job At least 3 end-to-end Oracle Fusion Financials implementation experiences in the UK or EU regions. Deep knowledge of financial close cycles, reconciliation strategies, and subledger accounting. Strong experience in configuring R2R, P2P, O2C, and A2H. Experience with intercompany accounting, cross-ledger setups, multi-currency, legal entity frameworks, and chart of accounts design. Familiarity with intercompany accounting, multi-currency handling, and tax configurations (including UK VAT setup). Hands-on experience with Fusion toolsOTBI, Smart View, FBDI, ADFDI, BI Publisher, and Excel-based uploads. Excellent communication, stakeholder management, and documentation skills. Knowledge of Oracle Native Agents such as IDR, Reconciliation Agent, Redwood Framework, etc. Understanding of local compliance, tax requirements, and regulatory reporting.

We are looking for a skilled Power BI Dashboarding and Visualization Developer with 8 to 10 years of experience. The ideal candidate will have a strong background in designing and developing interactive dashboards and visualizations using Power BI, as well as integrating and optimizing Power BI solutions within cloud environments. Roles and Responsibility Design and develop interactive dashboards and visualizations using Power BI. Integrate and optimize Power BI solutions within AWS and Azure environments. Collaborate with business users to gather requirements and deliver insights. Ensure data accuracy, security, and performance. Develop and maintain complex data models and reports using Power BI. Troubleshoot and resolve issues related to Power BI dashboard development. Job Strong experience with Power BI, including DAX, Power Query, and data modeling. Proficiency in SQL for querying and data manipulation. Familiarity with data warehouses such as Redshift, Snowflake, or Synapse. Knowledge of Azure Data Factory and AWS Glue for data integration. Understanding of REST APIs and integrating external data sources. Experience with Git for version control and CI/CD pipelines. Excellent communication and problem-solving skills.

We are looking for a skilled Power BI Developer with 2 to 6 years of experience to join our team in Pune. The ideal candidate will have proficiency in Power BI and BI tools, strong communication and client-facing experience, and additional skills in SQL, data modeling, and exposure to Tableau or QlikView. Roles and Responsibility Design and develop interactive dashboards using Power BI. Collaborate with clients to understand their requirements and provide effective solutions. Develop and maintain databases using SQL. Create data models to support business intelligence initiatives. Integrate Power BI with other tools and systems as needed. Troubleshoot and resolve technical issues related to Power BI. Job Proficiency in Power BI and BI tools is required. Strong communication and client-facing experience are essential. Experience with SQL, data modeling, and Tableau or QlikView is preferred. Ability to work independently and collaboratively as part of a team. Strong problem-solving skills and attention to detail are necessary. Familiarity with employment firms and recruitment services is an added advantage.

We are looking for a skilled SSAS Data Engineer with 4 to 8 years of experience to join our team. The ideal candidate will have a strong background in Computer Science, Information Technology, or a related field. Roles and Responsibility Develop, deploy, and manage OLAP cubes and tabular models. Collaborate with data teams to design and implement effective data solutions. Troubleshoot and resolve issues related to SSAS and data models. Monitor system performance and optimize queries for efficiency. Implement data security measures and backup procedures. Stay updated with the latest SSAS and BI technologies and best practices. Job Bachelor's degree in Computer Science, Information Technology, or a related field. Strong understanding of data warehousing, ETL processes, OLAP concepts, and data modeling concepts. Proficiency in SQL, MDX, and DAX query languages. Experience with data visualization tools like Power BI. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Experience working in an Agile environment.

We are looking for a skilled T SQL Developer with 5 to 9 years of experience in end-to-end design and development of BI & Analytics projects. The ideal candidate will have a strong background in designing and developing databases using T SQL. This position is available in Bangalore, Gurgaon, Pune, Noida, and Kolkata. Roles and Responsibility Design and develop database architectures to support business intelligence and analytics applications. Develop and maintain complex T SQL scripts for data extraction, transformation, and loading. Collaborate with cross-functional teams to identify and prioritize project requirements. Ensure data integrity and security by implementing appropriate measures. Optimize database performance and troubleshoot issues as needed. Participate in code reviews to ensure adherence to coding standards. Job Strong knowledge of T SQL programming language and its application in database development. Experience with end-to-end design and development of BI & Analytics projects. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with database management systems and data warehousing concepts.

The Business Intelligence (BI) Specialist is responsible for the design, development, implementation, management and support of mission- critical enterprise BI reporting and Extract, Transform, Load (ETL) processes and environments. Job Description Exposure to one or more implementations using OBIEE Development and Administration. Must have 6+ Years Development experience in PL/SQL. Experience in developing OBIEE Repository at three layers (Physical, Business model and Presentation Layers), Interactive Dashboards and drill down capabilities using global and Filters and Security Setups. Must have 3+ year of experience in Data Modeling, ETL Development (Preferably OWB), Etl and BI Tools installation and configuration & Oracle APEX. Experience in developing OBIEE Analytics Interactive Dashboards with Drill-down capabilities using global and local Filters, OBIEE Security setup (users/ group,access/ query privileges), configuring OBIEE Analytics Metadata objects (Subject Area, Table, Column), Presentation Services/ Web Catalog objects (Dashboards,Pages, Folders, Reports). Hands on development experience on OBIEE (version 11g or higher), Data Modelling. Experience in installing and configuring Oracle OBIEE in multiple life cycle environments.. Experience creating system architecture design documentation.. Experience presenting system architectures to management and technical stakeholders. Technical and Functional Understanding of Oracle OBIEE Technologies. Good knowledge of OBIEE Admin, best practices, DWBI implementation challenges. Understanding and knowledge of Data warehouse . Must have OBIEE Certification on version 11g or higher. Experience with ETL tools. Experience on HP Vertica. Domain knowledge on Supply Chain, Retail, Manufacturing.. Developing architectural solutions utilizing OBIEE. Work with project management to provide effort estimates and timelines. Interact with Business and IT team members to move the project forward on a daily basis.. Lead the development of OBIEE dashboard and reports . Work with Internal stakeholder and development teams during project lifecycle.

Test job description 1. Responsible for Monitoring (, availability, email, ticket and other communication channel..) 2. Responsible for ticket resolution and coordination with various internal and external team 3. Escalate to next level if unresolved from L1 Level 4. Responsible for Reporting and Escalations to meet Service Level agreement of tickets

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with data visualization tools such as Tableau or Power BI. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Ability to prioritize multiple projects in a fast-paced environment. Strong problem-solving skills, with the ability to think critically and outside the box. Proficiency in Microsoft Office Suite, particularly Excel, Word, and PowerPoint.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. The ideal candidate will have a strong background in analysis and problem-solving, with excellent communication skills. Roles and Responsibility Conduct thorough analysis of complex data sets to identify trends and patterns. Develop and implement effective analytical processes to drive business growth. Collaborate with cross-functional teams to provide insights and recommendations. Design and maintain databases and systems to support business operations. Develop and present reports to senior management on key findings and results. Stay up-to-date with industry trends and emerging technologies. Job Requirements Strong understanding of analytical principles and methodologies. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Proficiency in database management and data analysis tools. Strong problem-solving and critical thinking skills. Ability to collaborate effectively with stakeholders at all levels.