1302 Qlikview Jobs - Page 12

Role Overview: We are looking for a Senior Manager Business Analyst to drive data-driven decision-making across business and product functions. The ideal candidate will be responsible for defining key business metrics, developing reporting frameworks, identifying process inefficiencies, and providing strategic recommendations based on complex data analysis. This role demands strong analytical expertise, business acumen, and a problem-solving mindset to translate raw data into actionable insights that influence company strategy. Key Responsibilities: 1. Data Modeling & Dashboard Development Design and implement data models, reporting infrastructure, and dashboards to support business decision-making. Develop automated reports and visualizations using Power BI, Tableau, or Google Data Studio. Conduct deep-dive analysis on business performance, trends, and key drivers. 2. Business Process Optimization & Decision Support Identify inefficiencies in business processes and drive the adoption of data-driven solutions. Partner with product and business teams to provide insights that optimize operational performance and enhance user experience. Influence new business opportunities and strategies based on internal and external data analysis. 3. Advanced Analytics & Problem-Solving Execute quantitative analysis to identify trends, anomalies, and growth opportunities. Develop statistical models and predictive analytics to improve forecasting and strategic planning. Provide actionable insights that drive user engagement, revenue growth, and operational efficiency. 4. Stakeholder Collaboration & Data-Driven Culture Work closely with cross-functional teams to enable a data-driven approach in decision- making. Present analytical findings to senior leadership, translating complex data into clear business recommendations. Establish best practices for data accuracy, collection, and governance. What You Bring: Required Qualifications & Skills: 5+ years of experience in business analytics, data science, or a similar analytical role. Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related discipline. Expertise in SQL, Excel (Pivot tables, VLOOKUP, HLOOKUP, graphs), and data visualization tools (Power BI, Tableau, QlikView, Google Data Studio, etc.). Strong knowledge of analytics platforms like Mixpanel, Google Analytics, and Clevertap. Experience handling large, multi-dimensional datasets and executing complex data analysis. Ability to synthesize data, identify patterns, and present insights in a compelling manner. Strong critical thinking, problem-solving, and business process optimization skills. Ability to multitask in a fast-paced environment and work on diverse business requirements. Preferred Qualifications: Understanding of statistical tools and machine learning techniques. Prior experience in a consumer tech, robotics, or AI-driven company.

Job Summary: We are seeking a skilled and proactive Qlik Sense Developer with 3+ years of experience in designing and developing interactive dashboards and data visualizations. The ideal candidate should be capable of transforming raw data into meaningful insights, collaborating with business users, and delivering scalable BI solutions. The Qlik Sense Developer will be responsible for the full lifecycle of Qlik Sense application development, from requirements gathering to deployment and support. Key Responsibilities : Design and Development : - Design, develop, and maintain Qlik Sense dashboards, reports, and data models. - Create interactive visualizations to effectively communicate data insights. - Develop and implement data extraction, transformation, and loading (ETL) processes using Qlik scripting. - Optimize data models and dashboards for performance, scalability, and usability. Requirements Gathering and Collaboration : - Work closely with business stakeholders to gather and document business requirements. - Translate business requirements into technical specifications and data models. - Collaborate with cross-functional teams, including data engineers, database administrators, and business analysts, to ensure seamless data integration and delivery. Data Management and Integration : - Integrate Qlik Sense with various data sources, including relational databases (SQL Server, Oracle, etc.), flat files (Excel, CSV), cloud platforms (AWS, Azure, GCP), and APIs. - Ensure data accuracy, integrity, consistency, and security throughout the data lifecycle. - Implement data validation and quality assurance processes. Support and Maintenance : - Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense dashboards and solutions. - Identify and resolve performance bottlenecks and data-related issues. - Create and maintain technical documentation, including data flow diagrams, data dictionaries, and user guides. - Provide training and knowledge transfer to end-users. Best Practices and Continuous Improvement : - Adhere to Qlik Sense development best practices and coding standards. - Stay up-to-date with the latest Qlik Sense features, functionalities, and industry trends. - Contribute to the improvement of BI processes and methodologies. Qualifications and Skills : Essential Qualifications : - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum 3 years of hands-on experience with Qlik Sense development, including scripting, data modeling, and application development. - Strong knowledge of Qlik Scripting, data modeling techniques (star schema, snowflake schema), and data visualization best practices. - Proficiency in SQL and relational database concepts. - Experience in connecting Qlik Sense to various data sources (e.g., SQL databases, Excel, CSV, APIs). - Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively collaborate with business users and technical teams. - Ability to work independently and as part of a team. Desirable Qualifications: - Experience with Qlik NPrinting for report distribution and automation. - Knowledge of QlikView. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data warehousing solutions. - Familiarity with Agile development methodologies (e.g., Scrum, Kanban). - Basic understanding of data warehousing concepts, ETL processes, and dimensional modeling. - Qlik Sense certifications.

Job Title: BI Testing Skill: BI Testing Exp: 5 to 8 years Locations: PAN India (Hyderabad, Chennai, Bangalore, Pune, Mumbai, Noida, Coimbatore, Kolkata). Focus area : Validating reports and dashboards, Data testing at the source and transformation level, ETL pipeline validation (BI Testing), Azure DevOps exposure, Some cloud and Python understanding for modern BI testing setups We are seeking a detail-oriented and skilled QA professional with strong expertise in BI and ETL testing. The ideal candidate will have experience in validating data accuracy across SQL databases, ETL processes, and reporting tools. Key Responsibilities: Develop and execute SQL scripts for data validation and testing. Perform testing on SQL databases, preferably SAP HANA. Validate business intelligence reports and dashboards built on Tableau and QlikView/Qlik Sense. Prepare defect reports and evaluation summaries with accuracy and clarity. Utilize Azure DevOps for test case management, tracking, and collaboration. Apply strong analytical and problem-solving skills to identify and troubleshoot data issues. Conduct thorough ETL testing to ensure end-to-end data integrity. Required Skills: Proficiency in SQL scripting. Hands-on experience in ETL and BI testing. Familiarity with Tableau, QlikView/Qlik Sense, and SAP HANA. Exposure to Azure DevOps or similar tools. Basic knowledge of Python, SQL, databases, DBMS, and cloud database concepts. Excellent communication skills. Ability to work effectively both independently and in a team environment.

We are seeking a highly skilled and proactive Lead Data Analyst to lead the migration of legacy QlikView dashboards to TIBCO Spotfire. This role involves analyzing existing QlikView assets, designing equivalent or enhanced visualizations in Spotfire, and ensuring a smooth transition with minimal disruption to business users. The ideal candidate will combine strong technical expertise with business acumen and leadership capabilities. Key Responsibilities: Lead the end-to-end migration of QlikView dashboards and reports to TIBCO Spotfire. Perform in-depth analysis of existing QlikView data models, visualizations, and business logic. Redesign and enhance dashboards in Spotfire while ensuring consistency and improved user experience. Collaborate with business stakeholders to validate requirements and ensure migrated dashboards meet business needs. Coordinate with data engineers to align backend data sources and ETL pipelines for Spotfire compatibility. Develop documentation, user guides, and training materials to support adoption. Establish and enforce best practices in data visualization, governance, and performance optimization. Mentor and guide junior analysts on Spotfire capabilities and dashboard development. Provide status updates to leadership and manage risks/issues during the migration process. Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field. 8+ years of experience in data modelling, data analytics, with hands-on expertise in both QlikView and TIBCO Spotfire. Proven experience in migrating QlikView dashboards to Spotfire or similar BI platform transitions. Strong SQL skills and understanding of relational databases and data modeling concepts. Demonstrated ability to analyze business logic and replicate it accurately in a new tool. Strong communication and stakeholder management skills. Experience with version control, Agile methodologies, and project management tools. Experience in automative domain is a plus.

Embark on your transformative journey as a Solution Design Business Analyst - Vice President. You will be responsible for driving key strategic change initiatives for regulatory deliverables across Risk, Finance, and Treasury. To excel in this role, you should have at least 10 years of experience in business/data analysis, enabling you to present complex data issues in a simple and engaging manner. Your expertise should extend to front to back system designing, complex business problem solutioning, data gathering, data cleansing, and data validation. You will be expected to analyze large volumes of data, identify patterns, address data quality issues, conduct metrics analysis, and translate your analysis into valuable insights. Additionally, you will play a crucial role in capturing business requirements and translating them into technical data requirements. Collaboration with stakeholders to ensure proposed solutions meet their needs and expectations is a key aspect of this role. You will also be involved in creating operational and process designs to ensure the successful delivery of proposed solutions within the agreed scope, as well as supporting change management activities. Experience within the financial services industry, particularly in the banking sector within a Risk/Finance/Treasury role, will be highly valued. Proficiency in data analysis tools such as SQL, Hypercube, Python, and data visualization/reporting tools like Tableau, Qlikview, Power BI, and Advanced Excel will be beneficial. Familiarity with data modeling and data architecture is also desirable. The primary purpose of this role is to support the organization in achieving its strategic objectives by identifying business requirements and proposing solutions to address business problems and opportunities. Key Accountabilities include identifying and analyzing business problems and client requirements necessitating change within the organization, developing business requirements to address these challenges, collaborating with stakeholders to ensure proposed solutions align with their needs, creating business cases justifying investment in solutions, conducting feasibility studies to assess proposed solutions" viability, reporting on project progress to ensure timely and budget-compliant delivery, and supporting change management activities. As a Vice President, you are expected to contribute to strategic planning, resource allocation, policy management, continuous improvement initiatives, and policy enforcement. Your leadership responsibilities may involve demonstrating a set of leadership behaviors focusing on creating an environment for colleagues to excel. For individual contributors, being a subject matter expert within your discipline, guiding technical direction, leading collaborative assignments, and coaching team members are essential. You will also provide guidance on functional and cross-functional areas of impact and alignment, risk management, and organizational strategies. Demonstrating a comprehensive understanding of the organization's functions, collaborating with various work areas, creating solutions based on analytical thought, building trusting relationships with stakeholders, and upholding Barclays Values and Mindset are crucial aspects of this role.,

As a Principal Engineer Data Business Intelligence specializing in QlikView at GlobalFoundries, you will play a crucial role in the design, implementation, optimization, and support of enhancements for data integration and business intelligence solutions. Your responsibilities will include developing high-quality business intelligence reports for manufacturing and business teams, building high-performance data-driven systems in a distributed infrastructure, and leveraging massive data sets for modeling and insight generation. You will work closely with project stakeholders to gather business requirements, develop data models for efficient query performance, and maintain and support existing BI infrastructure in a fast-paced environment. Strong communication skills and a process-oriented mindset are essential as you collaborate with cross-functional global teams on large-scale BI projects. To excel in this role, you should possess a BTech\BE\BS\MCA in Computer Science or equivalent with at least 6 years of experience. Fluency in English (both written and verbal), strong proficiency in SQL and/or PL/SQL, and a solid understanding of data warehouse concepts like star schema and normalization are required. Additionally, a minimum of 3 years of experience in QlikView and proficiency in office software suites such as Excel, PowerPoint, and M365 are expected. Preferred qualifications include a passion for data-driven decision-making, expertise in SQL, and a strong background in Oracle database design and development. Proficiency in designing data models in a DBMS environment and creating database objects like tables, views, materialized views, custom functions, and stored procedures will be advantageous. By joining GlobalFoundries, you will have the opportunity to contribute to cutting-edge technologies and shape markets while enhancing your skills in data warehouse concepts and business analysis. If you are a self-motivated individual who thrives in a dynamic environment and enjoys collaborating with a diverse team, we encourage you to apply for this challenging and rewarding role. Please note that candidates applying for jobs in India must be fully vaccinated before their targeted start date, as part of our commitment to maintaining a safe and healthy workplace for all employees. For more information about our benefits, please visit our careers page at https://gf.com/about-us/careers/opportunities-asia.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Planning & Analysis Associate in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. Lead the month-end closing process for CIB Tech & Ops Planning & Analysis (P&A) activities. Prepare and analyze expense and headcount reports, comparing against plans and forecasts, and conduct variance analysis to track changes across functions and individual business units. Oversee the entire Capitalization and Amortization process for the DPS organization. Assist in the preparation of Executive Management Reports (EMR) and Financial Decks on a monthly basis and during budget cycles for CIB Tech & Ops and Senior Management teams. Collaborate effectively with CIB Tech & Ops Finance & Business Management (F&BM) and Central teams to understand business drivers and indirect allocations. Support monthly forecasting, mid-year outlook, annual budgeting exercises, and other ad-hoc reporting and analysis tasks. Track and manage key DPS initiatives such as location strategy, expense reduction programs, and productivity improvements. Provide support for management reviews and deliver value-added analytics. Experience in the banking or financial services industry, with a proven ability to work with global stakeholders. Proficiency in Excel and MS Office applications. Familiarity with financial systems such as Essbase, Paragon, and Cognos. Ability to work independently while providing oversight and direction to team members. Strong analytical skills, effective communication abilities, and a proven track record of teamwork and interaction with individuals at various levels and across countries. Keen attention to detail in supporting management reporting with clear and concise data analysis and presentation. Preferred qualifications, capabilities, and skills: Experience with QlikView or Tableau for management reporting is an added advantage. Advanced Excel skills, including knowledge of Macros and financial modeling, are advantageous. Chartered Accountant or MBA in Finance with a minimum of 4 years of experience in financial planning, forecasting, and variance/trend analysis is preferred. Shift Timing: UK Shift: 2:30 PM to 11:30 PM IST,

In this role, you are expected to contribute to Institutional Credit Management's (ICM) objective of providing comprehensive credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses. As part of the ICM In-Business Quality Assurance function, you will play a crucial role in verifying that established standards and processes are consistently applied. Your insights from quality assurance reviews will help assess the group's policies, procedures, programs, and practices related to wholesale credit risk management, enabling the identification of operational weaknesses, training needs, and process deficiencies. As the ICM In-Business Quality Assurance Data Analytics Vice President, your responsibilities include executing Quality Assurance Reviews (QARs), providing feedback on deficiencies and areas of improvement, and engaging with management, Independent Risk, and other stakeholders. You will report to the ICM In-Business Quality Assurance Data Lead and should ideally have experience in Business Audit or Risk Management, coupled with expertise in Machine Learning, Data Science, and Analytics within the context of Wholesale Credit Risk processes in global financial services firms. Key responsibilities of this role involve supporting the Head of Data Analytics in setting the global strategy for a robust data analytics and testing program, challenging the design and operation of data and credit processes, analyzing complex datasets, deriving insights from data, evaluating findings, assessing data accuracy, monitoring model performance, staying abreast of regulatory changes, and providing guidance on data-related issues. You will act as a subject matter expert for senior stakeholders, exercise independent judgment, and operate with a limited level of direct supervision. To be successful in this role, you should possess strong analytical skills, communication abilities, knowledge of Wholesale Credit Risk, leadership qualities, organizational skills, problem-solving capabilities, attention to detail, a drive for learning new technologies, and experience with programming languages and data analysis tools. A degree in a quantitative field and proficiency in tools such as SQL, Python, SAS, R, Tableau, and Power BI are preferred qualifications. If you are seeking a challenging role where you can contribute to enhancing data analytics within the context of Wholesale Credit Risk and collaborate with various stakeholders to drive improvements, this position may be an ideal fit for you.,

We are seeking a talented and detail-oriented Alteryx + Tableau Developer to join our dynamic team at SyanSoft . In this role, you will be responsible for transforming complex, raw datasets into clear, actionable insights through high-quality data preparation, analysis, and visualization . You will leverage your skills in Alteryx, Tableau, and SQL to develop robust data workflows, dashboards, and reports, collaborating closely with business stakeholders to translate data requirements into impactful solutions. Key Responsibilities: Design, develop, and maintain end-to-end data workflows using Alteryx for ETL processes, data cleansing, and data preparation. Create and maintain dynamic, interactive dashboards and reports in Tableau to drive data-driven decision-making. Collaborate with key business stakeholders to gather, analyze, and understand complex data needs and translate them into technical solutions. Perform data extraction, transformation, analysis, and visualization to support business goals. Optimize and automate existing reporting processes to improve efficiency and scalability. Ensure high data accuracy, consistency, and quality across reports and dashboards. Communicate findings clearly to both technical and non-technical stakeholders. Required Qualifications & Skills: Minimum 3-5 years of professional experience as an Alteryx + Tableau Developer. Mandatory: Alteryx Core Certification. Strong hands-on expertise with Alteryx Designer for complex data manipulation, ETL, parsing, blending, and automation. Proficiency in Tableau for dashboard creation, data visualization best practices, and performance optimization. Advanced skills in SQL for querying, data extraction, and transformation. Strong understanding of data preparation, data modeling, and data visualization principles. Ability to translate business needs into technical specifications and data-driven solutions. Exposure to Finance & Accounting / Tax domain will be an added advantage. Preferred Skills (Good to Have): Experience with other BI tools such as Power BI or QlikView. Familiarity with cloud platforms like AWS, Azure, or GCP for data services. Knowledge of Python or R for data analytics. Knowledge of process automation within Finance & Accounting workflows. Key Competencies: Strong problem-solving, analytical, and critical thinking skills. Excellent communication and stakeholder management abilities. Self-motivated, proactive, and capable of handling multiple priorities in a fast-paced environment. Passion for delivering high-quality, data-driven insights. Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelors/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 4+ years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

The purpose of this role is to maintain, improve, clean and manipulate data in the business s operational and analytics databases. The Data Engineer works with the business s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues. Job Description: Responsibilities BI Solution Development: Design, develop, and maintain BI solutions, including reports, dashboards, and data visualizations, using tools such as Power BI, Tableau, or similar technologies. Data Infrastructure Development: Design, develop, and maintain scalable data pipelines and infrastructure using tools and technologies such as Apache Spark, Hadoop, and SQL. Requirements Analysis: Collaborate with business stakeholders to gather and document BI requirements, ensuring solutions meet business needs. ETL Processes: Create and manage Extract, Transform, Load (ETL) processes to integrate data from various sources into the data warehouse. Data Integration: Extract, transform, and load (ETL) data from various sources into BI systems, ensuring data accuracy and integrity. Data Modeling: Develop and maintain data models to support BI solutions, optimizing for performance and usability. Data Quality: Implement data quality and validation processes to ensure accuracy and reliability of data. Performance Optimization: Optimize BI solutions for performance, scalability, and user experience through efficient data modeling and query design. Documentation: Create and maintain comprehensive documentation for BI solutions, including data models, ETL processes, and user guides. User Training and Support: Provide training and support to end-users on BI tools and best practices, ensuring effective use of BI solutions. Continuous Improvement: Identify and implement opportunities for improving BI processes and capabilities, staying current with industry trends and technologies. Qualification and Skills Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field. Proven experience 4-9 years in a similar role with a focus on business intelligence development. Proficiency in BI tools such as Power BI, Tableau, QlikView, or similar technologies. Proficiency in data engineering tools and technologies such as Apache Spark, Hadoop, Kafka, SQL, and NoSQL databases. Strong understanding of data warehousing, data modeling, and ETL processes. Excellent analytical and problem-solving skills with the ability to interpret complex data sets. Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. Certification in BI tools or relevant technology certifications incl data engineering tools Experience with cloud-based BI solutions, such as Microsoft Azure or AWS. Knowledge of advanced analytics, data visualization techniques and programming languages such as Python, Java, or Scala Experience with cloud-based data solutions, such as AWS, Azure, or Google Cloud Platform. Familiarity with data governance and compliance standards. Location: Bangalore Brand: Bcoe Time Type: Full time Contract Type: Permanent

The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelor's/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.

Target is one of the most loved consumer retail brands in the world. At Target, we are constantly improving and innovating our digital shopping experience. Target Plus is one such strategic business initiative offering meaningful guest experiences by bringing high demand brands, on-trend selection to Target.com. We are a one-of-a-kind marketplace, carefully curated and built keeping in mind guests' current and changing needs, along with tapping into futuristic market trends. The Category Site Merchandising team focuses on increasing digital topline sales by optimizing conversion and the overall site experience. The team plays a crucial role in ensuring findability and discoverability of products, making it easy for guests to locate and discover items. By partnering with various teams within and outside of the Digital organization, the team drives the right experience for each category. Additionally, the team is responsible for delivering financial outcomes and plans for the digital business, ensuring that financial goals are met and sustained.As a Sr Site Merchandiser, you will drive business growth through effective category management and site merchandising strategies. Your focus will be on optimizing the site experience for your category to maximize guest engagement and sales. You will collaborate closely with cross-functional teams, including merchandising, marketing, digital teams and analytics, to ensure seamless execution of category strategies and alignment with business goals. Your role is crucial in translating business objectives into actionable site merchandising tactics that enhance the digital shopping experience. Core Responsibilities: Site Experience Management: Develop site merchandising strategies focusing on conversion, findability, maximizing guest engagement, and frictionless shopping. Tactics include traffic optimization, site taxonomy and attribution management, navigation, filters, sort, internal search optimization, item-level content, cross-sell/up-sell, and item data remediation and attribution. Know and advocate for the Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Analytics & Insights: Monitor key performance indicators (KPIs) across devices and platforms, guest behavior, and market trends. Use these insights to refine strategies, influence cross-functional teams, and inform business decisions. Provide routine reporting on performance metrics, offering deep insights for continued optimization. Cross-Functional Partnership: Collaborate effectively with stakeholders, communicate insights clearly, and contribute as an SME to align team efforts with business goals. Innovation & Continuous Improvement: Continuously identify opportunities for innovation in merchandising, technology, and processes. Proactively drive progress, improvement, and advancement to enhance guest experiences Results & Financial Accountability: Maintain a strong sense of accountability for delivering financial results, ensuring strategies drive topline sales, profitability, and guest engagement. Education/Experience: 4-year US college degree or equivalent experience4+ years relevant e-commerce experience; including site merchandising, item data, product, UX, or operations General Skills: Curiosity and Passion for Customer Experience: Demonstrates a high level of curiosity and a strong passion for understanding and enhancing customer experience. Continuously seeks to learn about customer behaviors, preferences, and trends to drive innovative solutions that delight guests. Initiative and Self-Starter: Proactively identifies opportunities for improvement and takes the initiative to implement solutions. Exhibits a self-starter attitude, consistently driving projects forward with minimal supervision and demonstrating a strong sense of ownership and accountability. Team Collaboration: Ability to work effectively within a team, fostering a collaborative and productive work environment. Strategic Thinking: Ability to contribute to the development and implementation of strategic plans that align with business goals and drive category growth. Influence and Negotiation: Skills in influencing partner roadmaps and advocating for the category across teams, ensuring alignment and support for strategic initiatives. Analytical Skills: Proficiency in gathering, analyzing, and interpreting data to make informed decisions and provide actionable insights. Effective Communication: Strong written and verbal communication skills to summarize findings, share updates, and present insights clearly to stakeholders. Adaptability: Flexibility to adapt to changing business needs and priorities, and to work effectively in a fast-paced, dynamic environment. Specialized Skills: Data & Technical Skills: Proficiency with data tools like DOMO, Adobe Analytics, google analytics. Experience in using ecommerce site optimization tools. Financial Acumen: Proficiency in tracking revenue and other key metrics to connect site performance to financial outcomes. Ability to analyze financial data to support category performance and make data-driven decisions that align with business goals. Site Optimization: Experience in optimizing site merchandising strategies to enhance guest engagement and sales.

Analyze existing reports and dashboards built in IBM Cognos and design equivalent solutions in Qlik Sense. Work closely with business stakeholders to understand reporting requirements and ensure seamless transition. Optimize Qlik Sense reports for performance, scalability, and user experience. Provide technical guidance to junior developers and support them on best practices in performance tuning and visual design. Ensure data accuracy, consistency, and quality across migrated reports. Collaborate with data engineering teams to ensure proper data sourcing and modeling. Leverage knowledge of Power BI and Tableau to support cross-platform initiatives and provide comparative insights when necessary. Follow industry standards and guidelines in BI dashboard design, data storytelling, and data visualization principles Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5+ years of experience in Business Intelligence / Data Visualization roles. Experience working with IBM Cognos and migrating reports to modern BI platforms. Good understanding of data modeling, ETL processes, and SQL. Strong knowledge of Power BI and Tableau is a must. Experience in report optimization techniques (performance tuning, load time improvement Preferred technical and professional experience Experience in enterprise-level BI deployments and dashboard governance. Certification in Qlik Sense / Power BI / Tableau is a plus. Background in financial services, healthcare, or other data-intensive industries is an advantage

Act as a liaison between business stakeholders and technical teams to gather, document, and translate business requirements into data platform capabilities. Define and document data product requirements, KPIs, metrics, and business rules to be enabled via the platform. Define test scenarios and data quality checks to validate reports and dashboards. Coordinate UAT with business users and sign off deliverables. Collaborate with platform owners on roadmap definition, backlog prioritization, and delivery planning Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Prior experience working in banking or regulated project. Exposure to data product thinking and domain-driven data modeling. Understanding of data privacy, security, and compliance regulations (e.g., RBI, GDPR Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies

Exp Required - 7 years + Remote opportunity available . Role - Senior SAP SD Consultant We are looking for a skilled SAP SD Consultant who have experience in Data Relationship & Dashboard with strong expertise in designing data models, managing relationships across business-critical data sources, and building scalable, secure dashboards. The ideal candidate will have hands-on experience working with Oracle and SAP databases and an excellent understanding of production orders, sales orders, and manufacturing data. SAP ABAP experience would be added an advantage. Must Haves - Experience on SAP SD + ABAP SAP Version: ECC 6.0. Support QlikView or Qliksense team for building SAP reports by sharing technical details from SAP . Drive SAP SD flow and validate output of reports as per client requirement . Analyze and understand database relationships to enable business users to build insightful dashboards. Create and manage data relationships across multiple sources (e.g., production orders, sales orders, manufacturing data). Build and maintain dashboards that offer high usability and performance for business users. Ensure data is loaded efficiently (only once) and made accessible across multiple dashboards. Implement best practices for foundational data setup, including data modeling and optimization.

Role Title: SAP SD Consultant Experience Required: 7+ years Work Mode: Remote Must-Have Skills: Experience on SAP SD + ABAP SAP Version: ECC 6.0. Support QlikView or Qliksense team for building SAP reports by sharing technical details from SAP Drive SAP SD flow and validate output of reports as per client requirement We are looking for a skilled SAP SD Consultant who have experience in Data Relationship & Dashboard with strong expertise in designing data models, managing relationships across business-critical data sources, and building scalable, secure dashboards. The ideal candidate will have hands-on experience working with Oracle and SAP databases and an excellent understanding of production orders, sales orders, and manufacturing data. SAP ABAP experience would be added an advantage. Analyze and understand database relationships to enable business users to build insightful dashboards. Create and manage data relationships across multiple sources (e.g., production orders, sales orders, manufacturing data). Build and maintain dashboards that offer high usability and performance for business users. Ensure data is loaded efficiently (only once) and made accessible across multiple dashboards. Implement best practices for foundational data setup, including data modeling and optimization. Please share your resume at Akhila.kadudhuri@programmers.io.

Skill required: Delivery - Customer Insight & Marketing 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 Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Customer Insights Analytics Insights Storytelling Insight generation and presentation Familiarity with BI Tools, Kantar Track Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Requisition Id : 1625984 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

Requisition Id : 1625987 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

About Us Toluna is the global research and insights leader that enables businesses to make smarter, data-driven decisions – faster. For 25 years, we have partnered with the world’s leading brands, delivering transformative impact through our advanced technology platform, comprehensive solution portfolio, expansive global first-party panel, and world-class team of leading research experts. Since 2019, we’ve made significant investments in artificial intelligence to enhance automation, accelerate insight delivery, and unlock deeper understanding at scale. With 40+ offices worldwide, Toluna operates in 70+ countries, redefining the future of insights. Learn more at www.tolunacorporate.com About the role: We are seeking an experienced Power BI Developer with a strong background in finance to join our team. As a Power BI Developer, you will leverage your expertise in both data analytics and finance to design, develop, and maintain interactive dashboards and reports that provide key insights into the financial performance and trends of the organization. This role will be reporting to Senior Analytics & Modelling and work closely with business stakeholders, finance teams, and other departments to ensure that the reporting meets the needs of the organization while delivering actionable financial insights. Key Responsibilities: Develop Power BI Reports/Dashboards: Design, develop, and maintain interactive Power BI dashboards and reports, focusing on key financial metrics, budgeting, forecasting, and profitability analysis. Data Modelling & ETL: Create and manage data models in Power BI, ensuring the accuracy, quality, and integrity of financial data. Integrate and transform data from multiple financial systems and sources into Power BI using Power Query and DAX. Financial Analysis & Visualization: Work with finance teams to understand financial data needs and provide actionable insights into cash flow, balance sheets, P&L, variance analysis, and other key financial indicators. Collaborate with Stakeholders: Act as the bridge between IT, business, and finance departments to ensure that dashboards and reports are aligned with organizational goals and deliver key financial insights. Optimization: Continuously optimize reports and dashboards for performance and usability, ensuring end-users can interact with reports in an intuitive way. Troubleshooting and Support: Provide ongoing support and troubleshooting for Power BI reports, resolving issues related to data accuracy, report design, or performance. Training and Documentation: Provide training to finance and non-finance staff on how to use Power BI reports and dashboards effectively. Create clear documentation for report usage and data sources. Education Requirements: Bachelor’s degree in Finance, Accounting, Computer Science, Data Analytics, or related field. Microsoft Certified: Data Analyst Associate or similar Power BI certification is desired. Experience: Minimum of 3 years of experience in Power BI development, with a strong focus on finance-related reports and analysis. Hands-on experience in financial data modelling, budgeting, forecasting, and reporting. Proficiency in Power BI Desktop, Power BI Service, and DAX (Data Analysis Expressions). Experience with ETL processes, including integrating data from multiple sources (SQL, Excel, Salesforce, etc.). Familiarity with financial metrics and KPIs. Required Technical Skills Proficient in Power BI, including report creation, DAX, Power Query, and data visualization best practices. Strong knowledge of SQL for data extraction and manipulation. Advanced use of Excel skills such as complex formulas. Desirable Technical Skills Experience with cloud platforms such as Microsoft Fabric. Familiarity with finance tools and software such as SAP. Familiarity with other BI tools such as QlikView and Anaplan. Familiarity with advanced analytics tools (Python, R) or machine learning algorithms related to finance. Soft Skills Strong analytical skills with the ability to transform complex financial data into clear, actionable insights. Excellent communication skills and the ability to present financial information to both technical and non-technical stakeholders. Strong attention to detail and problem-solving ability. Ability to work independently and as part of a team in a fast-paced environment.

What You’ll Do EIIC Engineering functional excellence organization is aligned to CTO’s strategy to drive “One Eaton Engineering Functional Excellence”. Charter of this organization is to simplify & create better work experiences for our Engineers by transforming existing engineering work processes. EIIC functional excellence organization will work with global Engineering Functional Excellence(EFE) leaders in CTO’s office, Electrical and Industrial Sector businesses. This organization will be responsible for developing and deploying One Eaton processes across all sectors and businesses across globe. Senior engineer for Product Lifecycle Management (PLM) within Engineering functional excellence team at EIIC, will be responsible for driving engineering governing processes for part release, part health and other PLM governing policies. He/She will lead the projects on process standardization by coordinating thru PLM steering teams at various businesses and other cross functional teams like SCM, Operations and IT etc. The role will liase with IT teams in converting engineering needs to reflect in to the PLM software functionalities. This role will also focus on establishing the health dashboards and coordinating the improvement projects with engineering and other cross-functional teams. This role shall represent the functional excellence team in PLM steering committees. He/She will actively work with other engineers in functional excellence in driving LEAN and CI initiatives for organizational processes and PLM under the guidance of leaders for PLM, IT teams and business teams across the organizations. This role shall work on covering the functional requirements from ENG teams to PLM and its integrated system IT teams. This role required functional skills which has dynamic collaboration between EFE, ENG, MFG, SCM and Eaton IT teams. The Candidate In This Position Is Responsible To Lead PLM and engineering release process standardization initiatives including cross functional collaboration drives, EPIC deployment, PLM dashboarding etc. Work with business stakeholders for capturing requirements, post processing of data by utilizing digital tools, benchmarking to develop comprehensive proposals. Drive automation & digitization projects for Engineering & PLM processes using appropriate tools such as Excel Macros, VBA, Python, PowerApps & other O365 tools. Continuously builds digital skills to simplify processes. Develops impactful dashboards and reports using Power BI and share those reports effectively using Microsoft Power Platform. Responsible for updating, deploying and maintaining new standards / processes / policies thru global platform like Wiki or library central Ensures an effective change management process is utilized. Lead efforts on the development of e-Learning modules leveraging IT resources Identify opportunities and drive continuous improvement initiatives Lead ENOVIA Wiki for upgrading existing material, creating new material and communicate to user community Coordinates all risks and requirements of the project. This is accomplished by planning, controlling, integrating all project activities and deliverables and measuring all elements to ensure the requirements and goals are successfully achieved. Provides periodic project updates of current situation relating to milestones and problem/high risk areas to business units as well as divisional levels. Manage effective stakeholder communications. Improve organization responsiveness to stakeholder requirements. Communication and manage customer expectations and commitments internal to the business. Qualifications Bachelor’s Degree in Mechanical/Electrical Engineering. Strong understanding of PLM processes with 5-7years in product design and development (active role in Enovia PLM will be preferred) Skills Technical Knowledge: Experience of working in PLM environment like ENOVIA and Mnaufacturing process and rounting experience. Strong understanding about standard part release processes, cross function team's involvement and engineering databases Hands-on experience of Lean/DMAIC tools, New Product Introduction / Sustaining engineering / Application engineering processes, Good programming skills in Excel Macros and VBA, Understanding of dashboarding thru tools like Power BI / QlikView etc. Soft Skills Leadership skills - capability to lead change, Good communication and presentation skills – both verbal and written with ability to make necessary status reports and technical presentations to Eaton management, Good analytical skills and business acumen, High proficiency in preparing and managing schedule Logical thinking and drive for results ]]>

Requisition Id : 1611699 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

As a Manager - Sales Operations & Analytics, you will be responsible for Assisting the Head of Sales Operations & Network Development with varied projects to drive key cadences with relevant stakeholders, owning and reporting key business KPIs, and supporting the business reviews with insights to recommend next steps . The role requires the applicant to be willing to learn and adapt quickly to different projects and teams, and execute projects to desired outcomes. Incumbent in this role shall leverage tools such as Salesforce DMS, Qlikview and other systems to drive efficiency, ensure compliance and improve workflows across Sales & Network Development teams . You will be a quick learner, adept at context switching, good with data analysis, cross functional collaboration & communication, and detail oriented. You shall be responsible for evaluating the gaps and improving productivity for the zonal teams. You will drive projects through various teams and support initiatives as per business needs. You will work with relevant stakeholders and teams to ensure metrics and targets are achieved. ⸻ Some highlights of the role: 1. The role involves navigating through various swimlanes, teams and leaders, to gather information or to drive a task or project, so understanding organisation structure, process flows and relevant stakeholders becomes a must have and it helps if you can learn quickly. 2. Good communication skills, both oral and written is a must have. There can be less correlation among the projects and assignments that come along so must be okay with ambiguity and must have the ability to prioritize and organize on a daily basis. 3. You should be comfortable with these aspects and be able to maintain a sense of urgency and clarity with limited oversight from the leader you are supporting. 4. It’s a must have to be data driven and be able to quickly convert information into metrics and visualizations as executives’ decisions by and large are guided by data.

Company Description Office Solution, a global consulting and GEN AI powerhouse since 2012, specializes in Outsourced Product Development, Business Process Management, and Custom Application Development & Maintenance. As an Authorized Microsoft Partner, we deliver exceptional value to our clients through cutting-edge technologies like D3, React, and TypeScript. Office Solution has a proven track record of serving clients across the US, UK, Canada, Europe, and Dubai. With a decade of experience in the IT industry, we have generated $3 billion in value for our clients. Our AI-enabled chatbot empowers clients with instant access to information, adding efficiency to the decision-making process. Role Description This is a full-time remote role for an Alteryx Developer. The Alteryx Developer will be responsible for designing, building, and deploying Alteryx workflows, conducting data analysis, creating data transformation processes, and maintaining and optimizing existing workflows. The role also includes collaborating with cross-functional teams to gather requirements and ensure seamless integration with other systems. Qualifications Experience in Computer Science, Back-End Web Development, and Software Development Proficiency in Programming and Object-Oriented Programming (OOP) Strong analytical and problem-solving skills Excellent communication and teamwork skills Experience with Alteryx or similar data analytics platforms Relevant certification or degree in Computer Science or related field is a plus Ability to work independently and manage time effectively in a remote environment Experience with data visualization tools like Power BI, Tableau, and QlikView is beneficial