4392 Power Bi Jobs - Page 48

The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - masters in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (eg, Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (eg, Oracle) and NoSQL databases (eg, MongoDB, graph databases), as we'll as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities

- Strong understanding of ML algorithms (regression, classification, clustering) with the ability to independently develop and scale models using Python. - Experience in commercial analytics with a knack for translating business problems into analytical solutions and strategic recommendations. - Proficient in Power BI to build intuitive dashboards and deliver insights in a clear, actionable format. - Strong storytelling and communication skills to convey complex analytical findings to both technical and non-technical audiences. - Demonstrates ownership and leadership, driving projects from idea to impact with minimal supervision. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

- Strong understanding of ML algorithms (regression, classification, clustering) with the ability to independently develop and scale models using Python with minimal supervision - Experience in commercial analytics with a knack for translating business problems into analytical solutions and strategic recommendations. - Proficient in Power BI to build intuitive dashboards and deliver insights in a clear, actionable format. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

- Strong understanding of ML algorithms (regression, classification, clustering) with the ability to independently develop and scale models using Python. - Experience in commercial analytics with a knack for translating business problems into analytical solutions and strategic recommendations. - Proficient in Power BI to build intuitive dashboards and deliver insights in a clear, actionable format. - Strong storytelling and communication skills to convey complex analytical findings to both technical and non-technical audiences. - Demonstrates ownership and leadership, driving projects from idea to impact with minimal supervision. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

Assist in deploying, managing, and troubleshooting Azure resources, including virtual machines, networking, and storage. Monitor and respond to alerts to ensure optimal performance and availability of Azure services. Manage Azure networking services such as private endpoints, load balancers, Application Gateway, and ExpressRoute to ensure secure and efficient connectivity. Administer Azure governance features, including management groups, Azure Policy, and cost management. Oversee Power BI, Databricks, and Synapse administration, ensuring proper configuration and security. Ensure security compliance by managing Azure Defender, monitoring for vulnerabilities, and implementing security best practices. Handle ServiceNow tickets and resolve issues related to Azure services promptly. Maintain and update documentation related to Azure deployments, policies, and best practices. What you'll bring: Strong knowledge of Azure infrastructure, including networking, storage, private endpoints, and load balancing (Application Gateway, WAF). Basic understanding of monitoring tools like Azure Monitor, along with setting up alerts and reports. Experience with Azure governance, including management groups, policies, and cost optimization strategies. Knowledge of security best practices and tools such as Azure Defender and role-based access control (RBAC). Experience in Power BI, Azure Databricks, Synapse administration, and ServiceNow ticket management. Familiarity with scripting and automation tools such as PowerShell, ARM templates. Basic understanding of containerization and orchestration tools (Docker, Kubernetes) is a plus. Additional Skills: 1-3 years of experience managing Azure cloud environments. Strong communication and problem-solving skills. Ability to manage multiple tasks and work both independently and within a team. Azure certifications such as Azure Administrator Associate or Azure Fundamentals are a plus.

Derive actionable insights through large sets of data and drive action within the team Lead data reporting exercises for internal and external teams Develop and manage views for different business metrics : dashboards, scorecards. Coordinate with MIS and analytics for data gathering using SQL/excel and ensuring data sanity for day-to-day reporting. Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed. Conduct regular planning and reviews key performance metrics and aid in benefitting from change. Identify the right metrics to track progress against a given business goal Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms. Work with cross functional teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness. Desired Skills: A bachelors degree in engineering/business/related field 2+ years of experience in Analytics Excellent planning, organizational, and time management skills Strong problem solving & ability to work in ambiguous environments with high ownership Proficiency in SQL, Power BI & Excel, Strong drive to move fast and break barriers.

Role & responsibilities Preferred candidate profile Essential Skills : Advanced University Degree in Information Systems Management, Computer Science, Engineering, or a related field, or an equivalent and relevant work experience. Accreditation in a recognized project management methodology such as PMI, Prince2, or equivalent project management experience. Experience in Microsoft Dynamics 365, PowerApps (Model Driven), Power Automate, Dataverse, PowerBI, PowerPages, SharePoint(Document Management), Azure DevOps with at least 2-3 Projects. Experience in Incident and Problem Management, troubleshooting, and resolution of complex technical issues. Familiarity with ITIL practices. Desirable Skills : ERP system / SaaS accreditation or training in one functional domain or platform. Azure certifications related to Microsoft or equivalent. Knowledge in SQL Server (TeamMate+), PHP/Drupal, MySQL, MS Co-pilot Certification in ITIL Foundation or higher is highly desirable.

Key Responsibilities: Develop, design, and maintain dashboards and reports using Tableau and Power BI to support business decision-making. Write and optimize complex SQL queries to extract, manipulate, and analyze data from multiple sources. Collaborate with cross-functional teams to understand business needs and translate them into effective data solutions. Work with AWS Redshift and Databricks for data extraction, transformation, and loading (ETL) processes. Proactively identify and resolve data issues, acting as a solution finder to overcome challenges and drive improvements. Work independently, taking ownership of tasks and ensuring high-quality deliverables within deadlines. Be a strong team player, contributing to team knowledge sharing and fostering a collaborative environment. Apply knowledge of US healthcare systems to help build relevant data solutions and insights. Required Skills & Qualifications: Minimum 3 years of experience in data analysis, business intelligence, or related roles. Strong expertise in SQL for data querying and manipulation. Extensive experience creating dashboards and reports using Tableau and Power BI . Hands-on experience working with AWS Redshift and Databricks . Proven problem-solving skills with a focus on providing actionable data solutions. Self-motivated and able to work independently, while being a proactive team player. Experience or strong understanding of US healthcare systems and data-related needs. Excellent communication skills with the ability to work across different teams and stakeholders. Desired Skills (Nice to Have): Familiarity with other BI tools or cloud platforms. Experience in healthcare data analysis or healthcare analytics.

Overview The Data Technology team at MSCI is responsible for meeting the data requirements across various business areas, including Index, Analytics, and Sustainability. Our team collates data from multiple sources such as vendors (e.g., Bloomberg, Reuters), website acquisitions, and web scraping (e.g., financial news sites, company websites, exchange websites, filings). This data can be in structured or semi-structured formats. We normalize the data, perform quality checks, assign internal identifiers, and release it to downstream applications. Responsibilities As data engineers, we build scalable systems to process data in various formats and volumes, ranging from megabytes to terabytes. Our systems perform quality checks, match data across various sources, and release it in multiple formats. We leverage the latest technologies, sources, and tools to process the data. Some of the exciting technologies we work with include Snowflake, Databricks, and Apache Spark. Qualifications Core Java, Spring Boot, Apache Spark, Spring Batch, Python. Exposure to sql databases like Oracle, Mysql, Microsoft Sql is a must. Any experience/knowledge/certification on Cloud technology preferrably Microsoft Azure or Google cloud platform is good to have. Exposures to non sql databases like Neo4j or Document database is again good to have. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Title : Trainee/Junior Executive - Supply Chain Analyst Prepare and provide comprehensive MIS reports to SCM department head to make data-driven decisions. Create and present data visualizations and dashboards that emphasize key performance indicators, trends, and business insights from various functions. Collaborate with cross-functional teams to better understand reporting requirements and adapt analytics outputs to varied stakeholders, providing clarity and actionable value. Collect, clean, and evaluate data from various sources to ensure its accuracy and completeness. Create and implement databases, data collection systems, analytics, and other tactics to improve efficiency and quality. Data should be interpreted, results analysed statistically, and actionable insights provided. Create dashboards, visualizations, and periodical reports to share findings with stakeholders. Collaborate with product, marketing, finance, and other departments to identify data requirements and support strategic goals. Identify, analyse, and interpret trends or patterns in complicated datasets Qualification: B.Tech/M.Tech Chemical or M.Sc Chemistry OR MBA Supply Chain Management Experience 0 to 1 year

Roles and Responsibilities Design, develop, and deploy data visualizations using Microsoft Power BI to meet business requirements. Develop complex reports, dashboards, and datasets using Power BI's modeling capabilities. Collaborate with stakeholders to gather requirements and understand their needs for reporting and analytics solutions. Troubleshoot issues related to data connectivity, query performance, and report errors in a timely manner. Work closely with cross-functional teams to ensure seamless integration of Power BI solutions into existing systems. Desired Candidate Profile 3-8 years of experience in developing reports using Microsoft Power BI or similar tools (Tableau). Bachelor's degree in Any Specialization (BCA/B.Sc.). Strong understanding of SQL concepts including joins, aggregations, filtering, grouping etc. Experience working on multiple projects simultaneously while meeting tight deadlines

So, what’s the role all about? As a Sr. Cloud Services Automation Engineer, you will be responsible for designing, developing, and maintaining robust end-to-end automation solutions that support our customer onboarding processes from an on-prem software solution to Azure SAAS platform and streamline cloud operations. You will work closely with Professional Services, Cloud Operations, and Engineering teams to implement tools and frameworks that ensure seamless deployment, monitoring, and self-healing of applications running in Azure. How will you make an impact? Design and develop automated workflows that orchestrate complex processes across multiple systems, databases, endpoints, and storage solutions in on-prem and public cloud. Design, develop, and maintain internal tools/utilities using C#, PowerShell, Python, Bash to automate and optimize cloud onboarding workflows. Create integrations with REST APIs and other services to ingest and process external/internal data. Query and analyze data from various sources such as, SQL databases, Elastic Search indices and Log files (structured and unstructured) Develop utilities to visualize, summarize, or otherwise make data actionable for Professional Services and QA engineers. Work closely with test, ingestion, and configuration teams to understand bottlenecks and build self-healing mechanisms for high availability and performance. Build automated data pipelines with data consistency and reconciliation checks using tools like PowerBI/Grafana for collecting metrics from multiple endpoints and generating centralized and actionable dashboards. Automate resource provisioning across Azure services including AKS, Web Apps, and storage solutions Experience in building Infrastructure-as-code (IaC) solutions using tools like Terraform, Bicep, or ARM templates Develop end-to-end workflow automation in customer onboarding journey that spans from Day 1 to Day 2 with minimal manual intervention Have you got what it takes? Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). Proficiency in scripting and programming languages (e.g., C#, .NET, PowerShell, Python, Bash). Experience working with and integrating REST APIs Experience with IaC and configuration management tools (e.g., Terraform, Ansible) Familiarity with monitoring and logging solutions (e.g., Azure Monitor, Log Analytics, Prometheus, Grafana). Familiarity with modern version control systems (e.g., GitHub). Excellent problem-solving skills and attention to detail. Ability to work with development and operations teams, to achieve desired results, on common projects Strategic thinker and capable of learning new technologies quickly Good communication with peers, subordinates and managers You will have an advantage if you also have: Experience with AKS infrastructure administration. Experience orchestrating automation with Azure Automation tools like Logic Apps. Experience working in a secure, compliance driven environment (e.g. CJIS/PCI/SOX/ISO) Certifications in vendor or industry specific technologies. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7454 Reporting into: Director of Cloud Services Role Type: Individual Contributor

The SAS to Databricks Migration Developer will be responsible for migrating existing SAS code, data processes, and workflows to the Databricks platform This role requires expertise in both SAS and Databricks, with a focus on converting SAS logic into scalable PySpark and Python code The developer will design, implement, and optimize data pipelines, ensuring seamless integration and functionality within the Databricks environment Collaboration with various teams is essential to understand data requirements and deliver solutions that meet business needs

Hands on experience of running Apptio month-end Demonstrated experience of building dashboards & MI/reporting Strong planning, prioritisation, and organisational skills Strong numeric and analytical skills with ability to interpret and present financial data in an effective manner to deliver key insights. Expertise in data visualization tools like Power BI, etc. Develop custom dashboards and reports in Apptio to provide real-time insights into IT financials. Exposure to Apptio Planning module for forecast management. Experience working with Cloud technologies or an understanding / exposure to Cloudability. Awareness of FinOps best practice & business value of the Cloud. An RTBMA qualification in R12 is desirable.

Roles and Responsibilities Design, develop, and deploy data visualizations using Microsoft Power BI to meet business requirements. Develop complex reports, dashboards, and datasets using Power BI's modeling capabilities. Collaborate with stakeholders to gather requirements and understand their needs for reporting and analytics solutions. Troubleshoot issues related to data connectivity, query performance, and report errors in a timely manner. Work closely with cross-functional teams to ensure seamless integration of Power BI solutions into existing systems. Desired Candidate Profile 3-8 years of experience in developing reports using Microsoft Power BI or similar tools (Tableau). Bachelor's degree in Any Specialization (BCA/B.Sc.). Strong understanding of SQL concepts including joins, aggregations, filtering, grouping etc. Experience working on multiple projects simultaneously while meeting tight deadlines.

Key Responsibilities: Clean, validate, and standardize extracted datasets in accordance with best practices and any specifications provided by the Client. Design and develop dashboards, visualizations, and reporting tools using Microsoft Excel, Power BI, or other equivalent analytics platforms as may be approved by the Client. Conduct in-depth analysis of procurement data to identify tail spend, category-level insights, and potential cost-saving opportunities. Segment and categorize procurement data by business unit, supplier, spend category, and geographic region to enable targeted sourcing strategies. Produce periodic reports and executive summaries for review by the Client s Procurement leadership team. Translate data-driven trends and findings into clear, actionable sourcing recommendations. Collaborate closely with the Client s internal buying teams to ensure alignment of data outputs with sourcing priorities and project selection criteria.

Job Description : The successful candidate will report to Location Resource Manager and be based in our Noida office. The primary role of the Technical Principal engineer is to work within a design team managing and undertaking structural design and analysis in both steel and reinforced concrete structures, including PT. In this role you will: Develop safe and efficient structural solutions, and undertake design analysis and preparation of calculations; Manage a team of Senior Engineers, Engineers, CAD and Revit technicians, for the delivery of all project work; Ensure checking of all design output and coordination (Interface) between other disciplines; Develop and review designs and meet delivery as per agreed program; Ensure all design work is carried out in accordance with Mott MacDonalds quality standard procedures. Candidate Specification : We are looking to recruit Post Graduate qualified Structural Engineer to join our growing team in Noida. Should have good experience in RCC, PT & Structural Steel design. A minimum of 15+ Years experience in International projects with respect to the design and analysis of structural designs of buildings and related structures is required, in roles of increasing responsibility and project complexity. Must be able to manage a team and it s timely deliverables on a project. Candidate to be highly skilled with working on Bids and Proposals, estimating manhours, fee etc. Candidate to be fully conversant with dashboard presentations, preferably with power BI Candidate to be fully conversant with various structural framing systems Candidate to be fully proficient with Dynamic analysis of Highrise buildings in reference to International codes Candidate should have experience in the use of design software such as : Etabs, SAFE, Ram Concept, Robot, STAAD, RAPT and similar. Mott MacDonald is a leader in the adoption of BIM and therefore the use of Revit Structure would be highly regarded. Candidate should have hands on experience on international design standards and codes. Candidate has to guide the team and manage timely deliverables with quality thus meeting project programme Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute.

Role Overview: The IBCOO Group is seeking a Retainer to provide operational support for the Ratings line of Business within the In-Business Control Group. This role focuses on access control activities, including conducting periodic and non-periodic access reviews, managing access control certifications and overseeing governance for transfers and leavers. Key Responsibilities: Functional Responsibilities: Execute access control, ensuring timely reviews of user access and effective resolution of discrepancies. Analyze system data to identify trends and share insights with stakeholders, developing targeted action plans based on findings. Conduct independent research to enhance data understanding and inform decision-making. Apply troubleshooting skills, including Root Cause Analysis, to identify issues and implement corrective actions. Adhere to strict deadlines, maintaining accurate records in compliance with internal procedures. Respond promptly to access-related inquiries via email or calls. Balance effective operational execution with a commitment to continuous improvement. - Support process stakeholders (e. g., requestors, approvers, IT application teams, compliance) through training, expertise, and clear communication. Client and Stakeholder Management: Take ownership of all deliverables, ensuring timely and high-quality execution of tasks. Build and maintain strong relationships with client counterparts. Communicate effectively with clients regarding task guidance, progress updates, and any challenges encountered during execution. Candidate Profile: Good communication (written and oral), interpersonal, and organizational skills. Basic understanding of data analysis principles. Proficiency in Basic Excel is required; familiarity with Power BI and Python is preferred but not mandatory. Professional demeanor with a collaborative mindset, capable of interfacing effectively with internal and external stakeholders. Diligent, intellectually curious self-starter with a strong work ethic and a drive for success. Essential Qualifications: Bachelor s degree with 1-2 years of experience in operational processes, preferably in Risk & Control processes.

Job Role (20 Words) Ensure ethical, responsible AI system development by auditing compliance, designing mitigation strategies, and guiding cross-functional teams. Job Summary We are seeking a seasoned Responsible AI Engineer to lead ethical AI development initiatives. This role focuses on auditing AI systems, advising teams, and embedding Responsible AI frameworks into enterprise solutions, ensuring alignment with regulatory and ethical standards. Required Skills Deep expertise in Responsible AI and ethical governance Strong advisory and decision-making capabilities Proficiency in Responsible AI frameworks and implementation Experience in statistical analysis and ML algorithms Knowledge of linear/logistic regression, decision trees, clustering Skilled in data preprocessing (cleaning, transformation, normalization) Familiarity with visualization tools like Tableau and Power BI Ability to audit AI systems and enforce compliance protocols

Primary Tool & Expertise: Power BI and Semantic modelling Key Project Focus: Leading the migration of legacy reporting systems (Cognos or MicroStrategy) to Power BI solutions. Core Responsibility: Build / Develop optimized semantic models , metrics and complex reports and dashboards Work closely with the business analysts / BI teams to help business teams drive improvement in key business metrics and customer experience Responsible for timely, quality, and successful deliveries Sharing knowledge and experience within the team / other groups in the org Lead teams of BI engineers translate designed solutions to them, review their work, and provide guidance. Manage client communications and deliverables Core BI Skills: Power BI (Semanti Modelling, DAX, Power Query, Power BI Service) Data Warehousing Data Modeling Data Visualization SQL Datawarehouse, Database & Querying: Strong skills in databases (Oracle / MySQL / DB2 / Postgres) and expertise in writing SQL queries. Experience with cloud-based data intelligence platforms like (Databricks / Snowflake) Strong understanding of data warehousing and data modelling concepts and principles. Strong skills and experience in creating semantic models in the Power BI or similar tools . Additional BI & Data Skills (Good to Have): Certifications in Power BI and any Data platform Experience in other tools like MicroStrategy and Cognos Proven experience in migrating existing BI solutions to Power BI or other modern BI platforms. Experience with the broader Power Platform (Power Automate, Power Apps) to create integrated solutions Knowledge and experience in Power BI Admin features like, versioning, usage reports, capacity planning, creation of deployment pipelines etc Sound knowledge of various forms of data analysis and presentation methodologies. Experience in formal project management methodologies Exposure to multiple BI tools is desirable. Experience with Generative BI implementation. Working knowledge of scripting languages like Perl, Shell, Python is desirable. Exposure to one of the cloud providers - AWS / Azure / GCP. Soft Skills & Business Acumen: Exposure to multiple business domains (e.g., Insurance, Reinsurance, Retail, BFSI, healthcare, telecom) is desirable. Exposure to complete SDLC. Out-of-the-box thinker and not just limited to the work done in the projects. Capable of working as an individual contributor and within a team. Good communication, problem-solving, and interpersonal skills. Self-starter and resourceful, skilled in identifying and mitigating risks

About the Role We re looking for a data-driven HR Specialist to support our HR Leadership Team and Centers of Excellence with actionable insights and reporting solutions. In this role, you ll build and maintain Power BI dashboards and Workday reports that inform strategic decisions across the HR organization. What You ll Do Develop and maintain Power BI dashboards to visualize HR metrics and trends. Create and manage Workday reports to support various HR functions. Partner with HR stakeholders to understand reporting needs and deliver data-driven solutions. Ensure data accuracy, consistency, and integrity across platforms. Support initiatives across Talent Acquisition , Talent & Development , HR Shared Services , Employee Relations , Payroll , Total Rewards and Employee Experience . What We re Looking For 1+ year of experience in HR data reporting and analytics. Proficiency in Power BI and Workday HRIS reporting. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. Nice to Have Exposure to and/or interest in Python for data analysis and automation. Familiarity with advanced HR analytics concepts and tools. Our Company Values At NCR Atleos our core values are foundational in our company s history and future. They are more than just words on a screen; they are the principles that define who we are and how we work together: Accountability ensures that every one of us owns our actions and decisions, fostering a culture where we fearlessly deliver on commitments and exceed expectations with integrity, responsibility and transparency. Collaboration is at the heart of our success, integrating diverse perspectives and expertise to boost problem-solving and create a respectful, inclusive environment. We value and celebrate everyones contributions as we execute our shared goals. Innovation is integral to our identity, our heritage and our future. We proactively challenge the status quo; adapt to change; employ data and analytical thinking; and boldly create industry-leading, future-focused, and customer-driven solutions. #LI-PK3 #Li-Hybrid

Power BI Dashboard Development (UI Dashboards) Design, develop, and maintain visually compelling, interactive Power BI dashboards aligned with business needs. Collaborate with business stakeholders to gather requirements, develop mockups, and refine dashboard UX. Implement advanced Power BI features like bookmarks, drill-throughs, dynamic tooltips, and DAX calculations. Conduct regular UX/UI audits and performance tuning on reports. Data Modeling in SQL Server & Dataverse Build and manage scalable, efficient data models in Power BI, Dataverse, and SQL Server. Apply best practices in dimensional modeling (star/snowflake schema) to support analytical use cases. Ensure data consistency, accuracy, and alignment across multiple sources and business areas. Perform optimization of models and queries for performance and load times. Power BI Dataflows & ETL Pipelines Develop and maintain reusable Power BI Dataflows for centralized data transformations. Create ETL processes using Power Query, integrating data from diverse sources including SQL Server, Excel, APIs, and Dataverse. Automate data refresh schedules and monitor dependencies across datasets and reports. Ensure efficient data pipeline architecture for reuse, scalability, and maintenance. Skills Must have Experience: 6+ years in Business Intelligence or Data Analytics with a strong focus on Power BI and SQL Server. Technical Skills: Expert-level Power BI development, including DAX, custom visuals, and report optimization. Strong knowledge of SQL (T-SQL) and relational database design. Experience with Dataverse and Power Platform integration. Proficiency in Power Query, Dataflows, and ETL development. Modeling: Proven experience in dimensional modeling, star/snowflake schema, and performance tuning. Data Integration: Skilled in connecting and transforming data from various sources, including APIs, Excel, and cloud data services. Collaboration: Ability to work with stakeholders to define KPIs, business logic, and dashboard UX.

Power BI Dashboard Development (UI Dashboards) Design, develop, and maintain visually compelling, interactive Power BI dashboards aligned with business needs. Collaborate with business stakeholders to gather requirements, develop mockups, and refine dashboard UX. Implement advanced Power BI features like bookmarks, drill-throughs, dynamic tooltips, and DAX calculations. Conduct regular UX/UI audits and performance tuning on reports. Data Modeling in SQL Server & Dataverse Build and manage scalable, efficient data models in Power BI, Dataverse, and SQL Server. Apply best practices in dimensional modeling (star/snowflake schema) to support analytical use cases. Ensure data consistency, accuracy, and alignment across multiple sources and business areas. Perform optimization of models and queries for performance and load times. Power BI Dataflows & ETL Pipelines Develop and maintain reusable Power BI Dataflows for centralized data transformations. Create ETL processes using Power Query, integrating data from diverse sources including SQL Server, Excel, APIs, and Dataverse. Automate data refresh schedules and monitor dependencies across datasets and reports. Ensure efficient data pipeline architecture for reuse, scalability, and maintenance. Skills Must have Experience: 6+ years in Business Intelligence or Data Analytics with a strong focus on Power BI and SQL Server. Technical Skills: Expert-level Power BI development, including DAX, custom visuals, and report optimization. Strong knowledge of SQL (T-SQL) and relational database design. Experience with Dataverse and Power Platform integration. Proficiency in Power Query, Dataflows, and ETL development. Modeling: Proven experience in dimensional modeling, star/snowflake schema, and performance tuning. Data Integration: Skilled in connecting and transforming data from various sources, including APIs, Excel, and cloud data services. Collaboration: Ability to work with stakeholders to define KPIs, business logic, and dashboard UX.

Senior Azure Data Engineer: a. 15+ years of experience in IT Industry b. 5+ years of experience with Azure Data Engineering Stack (Data Factory, Databricks, Synapse, Event Hub, Cosmos DB, ADLS Gen2, Function app) c. 3+ years of experience with Python / Pyspark d. Good understanding of other Azure services e. Excellent knowledge of SQL f. Good understanding of Data Warehouse Architecture, Data Modelling and design concepts g. Experience in Power BI, SFTP, Messaging, APIs h. Lead and guide the data engineering team technically and share best practices with the team i. Excellent analytical and organization skills. j. Effective working in a team as well as working independently. k. Experience of working in Agile delivery l. Knowledge of software development best practices. m. Strong written and verbal communication skills. n. DP200/DP201 certification is added advantage

Role Overview We are looking for a Data & Analytics Subject Matter Expert with deep expertise in Data Engineering, Business Intelligence (BI), and AWS cloud ecosystems . This role demands strategic thinking, hands-on execution, and collaboration across technical and business teams to deliver impactful data-driven solutions. Key Responsibilities 1. Data Architecture & Engineering Design and implement scalable, high-performance data solutions on AWS. Build robust data pipelines, ETL/ELT workflows, and data lake architectures. Enforce data quality, security, and governance practices. 2. Business Intelligence & Insights Develop interactive dashboards and visualizations using Power BI, Tableau, or QuickSight. Define data models and KPIs to support data-driven decision-making. Collaborate with business teams to extract insights that drive action. 3. Cloud & Advanced Analytics Deploy data warehousing solutions using Redshift, Glue, S3, Athena, and other AWS services. Optimize storage and processing strategies for performance and cost-efficiency. Explore AI/ML integrations for predictive and advanced analytics (preferred). 4. Collaboration & Best Practices Partner with cross-functional teams (engineering, data science, business) to align on data needs. Champion best practices in data governance, compliance, and architecture. Translate business requirements into scalable technical solutions. Required Qualifications Education Bachelor s or Master s in Computer Science, Information Technology, Data Science, or related discipline. Experience 10+ years of experience in data engineering, BI, and analytics domains. Proven experience with AWS data tools and modern data architectures. Technical Skills Strong command of AWS services: Redshift, Glue, S3, Athena, Lambda, Kinesis. Proficient in SQL, Python, or Scala. Experience building and maintaining ETL/ELT workflows and data models. Expertise in BI tools like Power BI, Tableau, QuickSight, or Looker. Familiarity with AI/ML models and frameworks is a plus. Certifications Preferred: AWS Certified Data Analytics - Specialty. Additional certifications in AWS, data engineering, or analytics are a plus. Why Join Trianz Join a high-growth, innovation-led firm delivering transformation at scale. Collaborate with global teams on cutting-edge cloud and analytics projects. Enjoy a competitive compensation structure and clear career progression pathways.