143 Dimensional Modeling Jobs - Page 3

The PEX Report Developer role involves collaborating with fund accounting professionals and technology teams to create, maintain, and customize reporting statements using QlikView. You will be responsible for various tasks such as QlikView Dashboard Design & Development, working with SQL databases, integrating data from multiple sources, and optimizing data models for performance. The ideal candidate should have a Bachelor's degree in Computer Science and at least 2 years of experience with QlikView version 11 or higher. Key responsibilities include creating new reporting and dashboard applications using QlikView and NPrinting to facilitate better decision-making processes. You will work closely with stakeholders to gather requirements, develop prototypes, analyze business metrics, and maintain the QlikView environment. Additionally, you will be involved in mentoring team members, defining best practices, and providing end-user support for QlikView-related issues. The successful candidate should possess excellent communication skills, superior analytical abilities, and problem-solving skills. They should also have experience with complex QlikView functions, data security implementation, and administering QlikView environments. Familiarity with Agile software development concepts, process improvement, and SDLC methodologies is a plus. At GlobalLogic, we prioritize a culture of caring, continuous learning and development, interesting work assignments, work-life balance, and integrity. We offer a collaborative and inclusive work environment where you can build meaningful connections with teammates and leaders. As part of our team, you'll have opportunities for personal and professional growth, engaging projects that make an impact, and a healthy work-life balance. Join us at GlobalLogic, a trusted digital engineering partner known for creating innovative digital products and experiences for clients worldwide.,

Sr. Data Analytics Engineer Power mission-critical decisions with governed insights Ajmera Infotech builds planet-scale software for NYSE-listed clients, driving decisions that can’t afford to fail. Our 120-engineer team specializes in highly regulated domains—HIPAA, FDA, SOC 2—and delivers production-grade systems that turn data into strategic advantage. Why You’ll Love It End-to-end impact — Build full-stack analytics from lakehouse pipelines to real-time dashboards. Fail-safe engineering — TDD, CI/CD, DAX optimization, Unity Catalog, cluster tuning. Modern stack — Databricks, PySpark, Delta Lake, Power BI, Airflow. Mentorship culture — Lead code reviews, share best practices, grow as a domain expert. Mission-critical context — Help enterprises migrate legacy analytics into cloud-native, governed platforms. Compliance-first mindset — Work in HIPAA-aligned environments where precision matters. Key Responsibilities Build scalable pipelines using SQL, PySpark, Delta Live Tables on Databricks. Orchestrate workflows with Databricks Workflows or Airflow; implement SLA-backed retries and alerting. Design dimensional models (star/snowflake) with Unity Catalog and Great Expectations validation. Deliver robust Power BI solutions —dashboards, semantic layers, paginated reports, DAX. Migrate legacy SSRS reports to Power BI with zero loss of logic or governance. Optimize compute and cost through cache tuning, partitioning, and capacity monitoring. Document everything —from pipeline logic to RLS rules—in Git-controlled formats. Collaborate cross-functionally to convert product analytics needs into resilient BI assets. Champion mentorship by reviewing notebooks, dashboards, and sharing platform standards. Must-Have Skills 5+ years in analytics engineering, with 3+ in production Databricks/Spark contexts. Advanced SQL (incl. windowing), expert PySpark , Delta Lake , Unity Catalog . Power BI mastery —DAX optimization, security rules, paginated reports. SSRS-to-Power BI migration experience (RDL logic replication). Strong Git, CI/CD familiarity, and cloud platform know-how (Azure/AWS). Communication skills to bridge technical and business audiences. Nice-to-Have Skills Databricks Data Engineer Associate cert. Streaming pipeline experience (Kafka, Structured Streaming). dbt , Great Expectations , or similar data quality frameworks. BI diversity—experience with Tableau, Looker, or similar platforms. Cost governance familiarity (Power BI Premium capacity, Databricks chargeback). Benefits & Call-to-Action Ajmera offers competitive compensation, flexible schedules, and a deeply technical culture where engineers lead the narrative. If you’re driven by reliable, audit-ready data products and want to own systems from raw ingestion to KPI dashboards— apply now and engineer insights that matter.

Role & responsibilities Implementing data management solutions. Certified Snowflake cloud data warehouse Architect Deep understanding of start and snowflake schema, dimensional modelling. Experience in the design and implementation of data pipelines and ETL processes using Snowflake. Optimize data models for performance and scalability. Collaborate with various technical and business stakeholders to define data requirements. Ensure data quality and governance best practices are followed. Experience with data security and data access controls in Snowflake. Expertise in complex SQL, python scripting, and performance tuning. Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero-copy clone, time travel, and automating them. Experience in handling semi-structured data (JSON, XML), and columnar PARQUET using the VARIANT attribute in Snowflake. Experience in re-clustering the data in Snowflake with a good understanding of Micro-Partitions. Experience in Migration processes to Snowflake from an on-premises database environment. Experience in designing and building manual or auto-ingestion data pipelines using Snowpipe. SnowSQL experience in developing stored procedures and writing queries to analyze and transform data. Must have skills - Certified Snowflake Architect, Snowflake Architecture, Snow Pipes, SnowSQL, SQL, CI/CD and Python Perks and benefits Competitive compensation package. Opportunity to work with industry leaders. Collaborative and innovative work environment. Professional growth and development opportunities.

Greetings from Sight Spectrum Technologies!! As discussed over the call, we are processing your profile for the skillset of Data Modelling We would like to ensure that you are interested in this position. Exp : 8+ years Location: Remote Skills : Data Modeler Description: At Least 2 Projects done as Data Modeler Employ Entity-Relationship modeling with the intent of producing a design best suited for retrospective analysis of data.existing business system data, data profiling and source analysis. Expert using SQL Experts in understanding business need to translate those needs into an effective model. Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling. Experience implementing IBM UDMH Model - Atomic or Dimensional Model Exposure in one or more enterprise-level Modeling tools, IDA, ERWin, ER-Studio, etc Healthcare Domain Knowledge is a must; Exposure to HL7, FHIR, OMOP will be a plus if interested kindly share your resume to roopavahini@sightspectrum.in

Location : Hyderabad Work Model (Hybrid / WFO) : Hybrid & 3 Days per week (Tue, Wed, Thu) Experience Required: 5+ Employment Type (Full-Time / Part-Time / Contract): Full-time Mandatory Skills: Advanced SQL, Tableau / Snowflake / Teradata Python would be a plus Job Summary & Key Responsibilities: Design, develop, and support dashboards and reports. Provide analysis to support business management and executive decision-making. Design and develop effective SQL scripts to transform and aggregate large data sets, create derived metrics, and embed them into business solutions An effective and good communicator has demonstrated experience in handling larger and more complex business analytics projects 6+ years of relevant experience in design, development, and maintenance of Business Intelligence, reporting, and data applications Advanced hands-on experience with Tableau or similar BI dashboard visualisation tools Expertise in programmatically processing large data sets from multiple source systems, integration, data mining, summarisation, and presentation of results to exec audience. Advanced knowledge of SQL in related technologies like Oracle, Teradata, performance debugging, and tuning activities Strong understanding of dev to production processes, User Acceptance and Production Validation testing, waterfall and agile development, and code deployment methodologies Experience in core data warehousing concepts, dimensional data modeling, RDBMS, OLAP, ROLAP Experience with ETL tools used to automate manual processes (SQL scripts, Airflow/Nifi) Experience with R, Python, Hadoop Only Immediate Joiner Thanks & Regards, Milki Bisht- 9151206474 Email id milki.bisht@nlbtech.in

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Data Modeler. Experience: 7+ Years Skill Set: Data Modelling and SQL. Location: Pune, Hyderabad, Gurgaon Position in brief: We are more looking into technical with a piece of functional knowledge. at least 5 years of hands-on data modeling (conceptual, logical, and physical), data profiling, and data analysis skills SQL It should be Basic to intermediate level/ added advantage someone good with writing complex SQL queries ETL - should have an idea of how ETL process works/ should provide any ETL attributes and partition-related info as part of the data mapping document. Any tool experience is okay- ER Studio, ERWin, Sybase Power Designer. Detailed Job Description We are looking for a passionate Data Analyst/Data Modeler to build, optimize and maintain conceptual and logical/Physical database models. The Candidate will turn data into information, information into insight, and insight into business decisions. Responsibilities: Be responsible for gathering requirements from the business team and translating to technical requirements. Should be able to drive the projects and provide guidance wherever needed. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models. The candidate must be able to work independently and collaboratively. Work with management to prioritize business and information needs. Requirements: Bachelors or masters degree in computer/data science technical or related experience. 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL/Big data platform technologies, and ETL and data ingestion protocols). Proven working experience as a data analyst/data modeler or a similar role. Technical expertise in designing data models, database design and data analysis. Prior experience involving in the migration of data from legacy systems to new solutions. Good knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) is required. Experience gathering and analysing system/business requirements and providing mapping documents for technical teams. Strong analytical skills with the ability to collect, organize, analyze, and disseminate. significant amounts of information with attention to detail and accuracy Hands-on experience with SQL Problem-solving attitude

Role : SSAS Data Engineer We are looking for an experienced SSAS Data Engineer with strong expertise in SSAS (Tabular and/or Multidimensional Models), SQL, MDX/DAX, and data modeling.The ideal candidate will have a solid background in designing and developing BI solutions, working with large datasets, and building scalable SSAS cubes for reporting and analytics.Experience with ETL processes and reporting tools like Power BI is a strong plus. Key Responsibilities - Design, develop, and maintain SSAS models (Tabular and/or Multidimensional).- Build and optimize MDX or DAX queries for advanced reporting needs.- Create and manage data models (Star/Snowflake schemas) supporting business KPIs.- Develop and maintain ETL pipelines for efficient data ingestion (preferably using SSIS or similar tools).- Implement KPIs, aggregations, partitioning, and performance tuning in SSAS cubes.- Collaborate with data analysts, business stakeholders, and Power BI teams to deliver accurate and insightful reporting solutions.- Maintain data quality and consistency across data sources and reporting layers.- Implement RLS/OLS and manage report security and governance in SSAS and Power BI. Primary : Required Skills : - SSAS Tabular & Multidimensional.- SQL Server (Advanced SQL, Views, Joins, Indexes).- DAX & MDX.- Data Modeling & OLAP concepts. Secondary : - ETL Tools (SSIS or equivalent).- Power BI or similar BI/reporting tools.- Performance tuning & troubleshooting in SSAS and SQL.- Version control (TFS/Git), deployment best practices.

MicroStrategy Developer to design and develop reports dashboards and analytical solution Responsibilities include collaborating with stakeholders data modeling writing SQL performance tuning and providing technical support within the MicroStrategy

Role & responsibilities JD Bachelors Degree preferred, or equivalent combination of education, training, and experience. 5+ years of professional experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) 3+ years of professional experience with Enterprise Domains Like HR, Finance, Supply Chain 6+ years of professional experience with more than one SQL and relational databases including expertise in Presto, Spark, and MySQL Professional experience designing and implementing real-time pipelines (Apache Kafka, or similar technologies) 5+ years of professional experience in custom ETL design, implementation, and maintenance 3+ years of professional experience with Data Modeling including expertise in Data Warehouse design and Dimensional Modeling 5+ years of professional experience working with cloud or on-premises Big Data/MPP analytics platform (Teradata, AWS Redshift, Google BigQuery, Azure Synapse Analytics, or similar) Experience with data quality and validation (using Apache Airflow) Experience with anomaly/outlier detection Experience with Data Science workflow (Jupyter Notebooks, Bento, or similar tools) Experience with Airflow or similar workflow management systems Experience querying massive datasets using Spark, Presto, Hive, or similar Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Salesforce, etc.) Experience in data visualizations using Power BI and Tableau. Proficiency in Python programming language and Python libraries, with a focus on data engineering and data science applications. Professional fluency in English required Preferred candidate profile

Job role & responsibilities:- Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves in supporting architecture designing and improvements ,Understanding Data integrity and Building Data Models, Designing and implementing agile, scalable, and cost efficiency solution. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skills, Qualification and experience required:- Proficient in Data Modelling 5-10 years of experience in Data Modelling. Exp in Data modeling tools ( Tool - Erwin). building ER diagram Hands on experince into ERwin / Visio tool Hands-on Expertise in Entity Relationship, Dimensional and NOSQL Modelling Familiarity with manipulating dataset using using Python. Exposure of Azure Cloud Services (Azure DataFactory, Azure Devops and Databricks) Exposure to UML Tool like Ervin/Visio Familiarity with tools such as Azure DevOps, Jira and GitHub Analytical approaches using IE or other common Notations Strong hands-on experience on SQL Scripting Bachelors/Master's Degree in Computer Science or related field Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills Good communication skills to coordinate between business stakeholders & engineers Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment * Immediate Joiners will be preferred only Outstation candidate's will not be considered

Role & responsibilities Exp: 8+ years Location: Remote Skills: Data Modeler Description: At Least 2 Projects done as Data Modeler Discover, analyze, and scope data requirements ; create high level process models to represent processes for the area under analysis Analyze existing business system data, data profiling, and source analysis Create detailed mapping documents covering source to target mapping, transformation logic and harmonization Design Data Architecture, Strategy, Employ Entity-Relationship” modeling with the intent of producing a design best suited for retrospective analysis of data. Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data. Arrive at data solution diagrams including data flow diagrams, use case models, etc. Skilled in analyzing existing business system data, data profiling and source analysis. Expert using SQL Experts in understanding business need to translate those needs into an effective model. Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling. Experience implementing IBM UDMH Model - Atomic or Dimensional Model Exposure in one or more enterprise-level Modeling tools, IDA, ERWin, ER-Studio, etc Healthcare Domain Knowledge is a must; Exposure to HL7, FHIR, OMOP will be a plus Advanced understanding of data normalization and denormalization techniques. Expert in Metadata management and tools. Advanced experience in Master Data management/systems and Reference Data management/systems. Advanced experience with modeling process creation and implementation. Experts in understanding business need to translate those needs into an effective model Preferred candidate profile

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 8-12 yrs Location: Chennai/Hyderabad/Bangalore/Pune/Bhubaneshwar/Kochi Skill: Senior Data Modellers Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Relevant Exp in Data Modelling: Rel Exp in Data Warehousing: Rel Exp in AWS: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for virtual interview on weekdays between 10 AM- 4 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year:

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Data Governance, Lakehouse architecture, Medallion Architecture, Azure DataBricks, Azure Synapse, Data Lake Storage, Azure Data Factory Intelebee LLC is Looking for: Data Engineer:We are seeking a skilled and hands-on Cloud Data Engineer with 5-8 years of experience to drive end-to-end data engineering solutions. The ideal candidate will have a deep understanding of dimensional modeling, data warehousing (DW), Lakehouse architecture, and the Medallion architecture. This role will focus on leveraging Azure's/AWS ecosystem to build scalable, efficient, and secure data solutions. You will work closely with customers to understand requirements, create technical specifications, and deliver solutions that scale across both on-premise and cloud environments. Key Responsibilities: End-to-End Data Engineering Lead the design and development of data pipelines for large-scale data processing, utilizing Azure/AWS tools such as Azure Data Factory, Azure Synapse, Azure functions, Logic Apps , Azure Databricks, and Data Lake Storage. Tools, AWS Lambda, AWS Glue Develop and implement dimensional modeling techniques and data warehousing solutions for effective data analysis and reporting. Build and maintain Lakehouse and Medallion architecture solutions for streamlined, high-performance data processing. Implement and manage Data Lakes on Azure/AWS, ensuring that data storage and processing is both scalable and secure. Handle large-scale databases (both on-prem and cloud) ensuring high availability, security, and performance. Design and enforce data governance policies for data security, privacy, and compliance within the Azure ecosystem.

JOB SUMMARY BI Engineer Exp: 7 - 10 Years Loc: Bang (Hybrid) Job Description: > The candidate should be result-oriented, self-starter and self-motivated who can manage multiple time-sensitive assignments. >Should have expert data modeling skills including conceptual, logical and physical model design. >The candidate should be able to participate in the development of Business Intelligence solutions to meet the needs of the Commercial Organizations (Finance, CRM, Sales, Sales Operations, Marketing) >Evaluate business requirements, conduct a POC and proactively call out data anomalies within the source system. > Perform end to end data validation for a solution ensuring quality data delivery. >Develop/performance tune complex SQL (PL/SQL and/or T-SQL) queries and stored procedures. >Should be well versed with project tracking tools like Jira and Github. >Able to batch processes using any scripting language like pearl, Unix or python. >Experience with source systems like salesforce (SOQL), NetSuite or any other CRM is a plus. >Candidate should be able to create strategic design and mapping of business requirements to system/technical requirements. >Candidate should be able to communicate, translate, and simplify business requirements to ensure buy-in from all stakeholders. Requirements 1. 7-10 years of experience with Database Development using Packages/Stored Procedures/Triggers in SQL and PLSQL 2. 7-10 years of experience in Dimensional Modeling, Star and Snowflake Schemas design and maintaining dimensions using Slowly Changing Dimensions(SCD) 3. 7+ years of experience in SQL performance tuning and optimization 4.techniques Ability to work on on ad-hoc requests and should be able to work on simultaneous projects or tasks 5.Effective and positive communication and Team working skills.

Data Architect / Modeler About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Groups partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Location : Pune Working Persona : Hybrid Experience : 9 to 14 years Must-Have Skills: Proficiency in Data Vault 2.0 and dimensional modeling. Strong experience with data profiling and source-to-target mapping. Expertise in working with GCP BigQuery environments. Solid understanding of data governance principles. Strong SQL hands-on. Good-to-Have Skills: Experience with Telecom Domain and systems - CRM, billing, mediation, provisioning. Performance Tuning in BigQuery – Partitioning, clustering, cost optimization. Telecom Analytics Use Cases – Churn prediction, fraud detection, network optimization. Working knowledge of Power Designer/ Erwin (or similar tools) for Data Model creation and maintenance. Role purpose: The Data & Analytics (D&A) team leads the design and delivery of the overall UK Data Strategy on behalf of Vodafone UK. The team is the driving force in maximising incremental value from data through the design & delivery of ‘Valuable’, ‘Accessible’ & ‘Trusted’ data. Now is a really exciting time to join the team as we begin our data transformation journey to implement this agreed data strategy working across all of Vodafone UK. DATA MODELLING & ARCHITECTURE: Working as part of a team you will help to define, develop and maintain the Data Architecture blue prints for implementing TRUSTED DATA. You will be responsible for defining, developing and maintaining data models for the GCP single physical layer, data models, semantic layer, and data products. Working with multiple IT partners and domain architects to understand data in Vodafone IT systems and design, map and model GCP data integration, enabling value through business leading GCP capabilities, fit for the business, focusing on a “Create once, use many times” TRUSTED capability approach. Working with the Data Innovation Lead, you will ensure all Data Products have the required capabilities, and all attributes currently produced in multiple locations across disperate reports are created within the data models/semantic layer as a core entity capability, reusable for all downstream capability. Data Architects, Data Governance & Product Owner teams will work together to document tech debt & historical work arounds which require re-engineering in the Data Warehouse or source systems to enable better, trusted data in the data models to support data products, which will accordingly influence the data improvements roadmap. Core competencies, knowledge and experience : 1. Excellent technical, data and architectural understanding & ability to work with a wide variety of disciplines/platforms - Strong working knowledge of Data Warehousing concepts. An ability to technically understand core IT transactional and CRM platforms and interpret source system generated data into actionable warehouse data through to business data in Data Products 2. Demonstrable knowledge and experience in creating and maintaining data models in data & analytics environments 3. Ability to engage, and work with stakeholders across locations and business teams to shape the delivery of valuable outcomes 4. Experience of working in Agile and creating Value for the business through Cloud based data architecture solutions. Key accountabilities and decision ownership 1. Data Modelling: Defining, developing, maintaining and socialising good documented and accessible data models, information models, and semantic models which are fit for purpose to enable data capabilities for TRUSTED DATA 2. Supporting excellence across D&A by championing the implementation of the Data Strategy TRUSTED blueprints, policies and frameworks 3. Supporting the implementation and ongoing maintenance of roadmaps and opportunities for new data or data improvement. 4. Support Data By Design: Providing input of data inadequacies, modelling constraints and missing IT attributes/capabilities affected TRUSTED DATA VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills!

We are seeking a skilled and detail oriented MicroStrategy Developer to design, develop, and maintain BI solutions using the MicroStrategy platform. The ideal candidate will have strong experience in creating dashboards/dossiers, reports, and schema objects, and be able to translate business requirements into actionable insights. Key Responsibilities Develop and maintain MicroStrategy reports, dashboards/dossiers, visualizations, and documents. Design schema objects such as attributes, facts, hierarchies, and transformations & application objects such as metrics, filters, prompts so on. Collaborate with business analysts, data architects, and stakeholders to understand reporting requirements. Need to create reports or datasets based on custom SQL queries in MicroStrategy. Write SQL to perform E2E data validation and analyse performance. Optimize and troubleshoot existing reports and dashboards for performance and usability. Ensure data integrity and accuracy across BI deliverables. Perform unit testing and support user acceptance testing (UAT). Provide technical support and troubleshooting for MicroStrategy applications. Required Qualifications Strong understanding of data warehousing concepts and dimensional modelling. Proficiency in SQL and experience working with relational databases (e.g., Oracle, SQL Server, Teradata). Experience in creating dashboards/dossiers, scorecards, and custom visualizations. Experience working on Big data environment as source for data for Reporting. Familiarity with MicroStrategy Architect, Developer, and Web. Ability to translate business needs into technical solutions. Strong analytical and problem-solving skills.

JOB Description Develop and Maintain business intelligence data visualizations using Microsoft Power BI The core responsibilities will be to develop high performance data visualizations, reports, dashboards, and provide ad-hoc reporting. Demonstrate a proven ability to work in a fast-paced, agile environment Be comfortable with initial ambiguity and offer solutions to lead a Client down the right path Support rapid prototyping and coordinate business requests and specifications with a Business Analytics Designer and Customers Validate that visualizations perform as expected in an operational setting Ensure developed visualizations are high quality and comply standards around font, color, whitespace or other branding elements Develop semantic layer organization that will be visible to end-users A successful candidate will have the following characteristics Proficiency with all areas Power BI, Tableau SSRS , MSSQL Deep understanding of Relational Models, Tabular Models, and Multi-Dimensional Models Ability to enhance models as needed for custom Visualization requests Strong SQL work experience and understanding – must have The core responsibilities will be to develop high performance data visualizations, reports, dashboards, and provide ad-hoc reporting. Demonstrate a proven ability to work in a fast-paced, agile environment Be comfortable with initial ambiguity and offer solutions to lead a Client down the right path Support rapid prototyping and coordinate business requests and specifications with a Business Analytics Designer and Customers

Required skillsStrong working knowledge of modern programming languages, ETL/Data Integration tools (preferably SnapLogic) and understanding of Cloud Concepts. SSL/TLS, SQL, REST, JDBC, JavaScript, JSON Has Strong hands-on experience in Snaplogic Design/Development. Has good working experience using various snaps for JDBC, SAP, Files, Rest, SOAP, etc. Good to have the ability to build complex mappings with JSON path expressions, and Python scripting. Good to have experience in ground plex and cloud plex integrations. Has Strong hands-on experience in Snaplogic Design/Development. Has good working experience using various snaps for JDBC, SAP, Files, Rest, SOAP, etc. Should be able to deliver the project by leading a team of the 6-8member team. Should have had experience in integration projects with heterogeneous landscapes. Good to have the ability to build complex mappings with JSON path expressions, flat files and cloud. Good to have experience in ground plex and cloud plex integrations. Experience in one or more RDBMS (Oracle, DB2, and SQL Server, PostgreSQL and RedShift) Real-time experience working in OLAP & OLTP database models (Dimensional models).

Mandatory:- Data modelling ,SQL, Erwin or Er studio Data architect , Data Vault , Dimensional Modelling Work mode – Currently this is remote (WFH) but it’s not permanent WFH , once business ask the candidate to come to office, they must relocate. Required Candidate profile o Experience in Data vault 2.0 certification o Experience with data modeling tools such as SQLDBMS, ERwin, or similar. o Strong understanding of database management systems (DBMS) and SQL.

Role Purpose Anaplan, Anaplan Model Builder, Integrations and SQL Do 3+ years of Model development and business process architecting using EPM tools Strong expertise and deep understanding of multi-dimensional modeling Basic to intermediate knowledge of SQL Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, charts etc. Strong understanding of data integration Self-motivated and ability to manage timelines across multiple projects. Strong interest in structured finance preferred. Deliver excellent customer service through effective diagnosis and troubleshooting of client queries Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Assist clients with navigating around product menus and facilitate better understanding of product features Troubleshoot all client queries in a user-friendly, courteous and professional manner Maintain logs and records of all customer queries as per the standard procedures and guidelines Accurately process and record all incoming call and email using the designated tracking software Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract /SLAs Build capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Partner with team leaders to brainstorm and identify training themes and learning issues to better serve the client Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed

Data Modeler Responsibilities: Conducts Requirement Gathering and translates business understanding into Data Modeling terminologies. Responsible for Data Profiling tasks, including Granularity checks, Datatypes, Nullability, Anomalies, etc. Designs and maintains Conceptual, Logical, and Physical data models, as well as source-to-target mapping sheets and DDL generation. Collaborates closely with business analysts, data architects, and other stakeholders to understand the data requirements and business rules. Enforces data model standards and adheres to standards across Snowflake. Maintains documentation for data models, database schemas, and changes over time. Implements and oversees version control for data models, tracking changes, and maintaining a history of modifications. Offers support to developers, analysts, and other team members as needed. Conducts Design Reviews with the Central team and incorporates suggested changes. Qualifications: Demonstrates proven experience as a Data Modeler. Familiarity with Manufacturing industry terminologies. Good to have: Possesses experience with data warehouse and ETL / Data engineering concepts. Demonstrates excellent collaboration and communication skills. Displays self-starting abilities with minimal guidance.

We are seeking a highly experienced Data Modeler with expertise in Data Modelling, Data Analysis, and Dimensional Modelling The ideal candidate should have hands-on experience with Erwin or Erwin Studio, Data Warehousing (DWH), Snowflake, and SQL The role involves designing and developing data models to support business intelligence and analytics solutions while ensuring data integrity, consistency, and compliance with Banking domain standards Responsibilities include working with Snowflake to optimize cloud-based data models, executing complex SQL queries for data analysis, and resolving data quality issues The candidate should have strong analytical and problem-solving skills, prior experience in the Banking domain, and the ability to work independently in a remote environment

Job Description Overall 7-10 yrs of IT experience with a Bachelor's degree in computer science, information technology, or a similar field. Must have 4+ years strong experience in Data modelling. Able to understand, analyze and design enterprise data model, and have expertise on any data modelling tool Erwin,power designer. Have created flexible and scalable model Have experience at least two end-to-end implementation of cloud data warehouse. 3 years of hands-on experience with physical and relational data modeling. Expert knowledge of metadata management and related tools. Supporting and providing consultation to database users and developers Preparing accurate database design and architecture reports for management and executive teams Overseeing the migration of data from legacy systems to new solutions Recommending solutions to improve new and existing database systems Experience with team management. Excellent communication and presentation skills. Roles & Responsibilities Involvement in overall SDLC including requirement gathering, development, testing, debugging, deployment, documentation, production support. Familiarity and experience in the work environment consisting of Business analysts, Production Support teams, Subject Matter Experts, Database Administrators, Data Engineers and BI Developers. Strong skills in SQL, PL/SQL packages, functions, stored procedures, triggers and materialized views to implement business logic in database. Develop mapping spreadsheets for (ETL) team with source to target data mapping with physical naming standards, datatypes, volumetric, domain definitions , and corporate meta-data definitions. Exceptional communication and presentation skills and established track record of client interactions. Experience with Database SQL tuning and query optimization tools like Explain Plan. Experience in designing Conceptual, Logical and Physical Data Models SKills - Data-Modeler, Data-Modelling, Erwin, Power-Designer, SQL

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills.

Job Role: A Data Modeler designs and creates data structures to support business processes and analytics, ensuring data integrity and efficiency. They translate business requirements into technical data models, focusing on accuracy, scalability, and consistency. Here's a more detailed look at the role: Responsibilities: Designing and developing data models: This includes creating conceptual, logical, and physical models to represent data in a structured way. Translating business needs : They work with stakeholders to understand business requirements and translate them into actionable data structures. Ensuring data integrity: They implement data validation rules and constraints to maintain the accuracy and reliability of data. Optimizing data models: Data modelers optimize models for performance, scalability, and usability, ensuring data can be efficiently stored and retrieved. Collaborating with other teams : They work with database administrators, data engineers, and business analysts to ensure data models align with business needs and technical requirements. Documenting data models: They provide clear documentation of data structures and relationships, including entity-relationship diagrams and metadata. Skills: Data modeling techniques: Knowledge of various data modeling approaches, including normalization, denormalization, and dimensional modeling. Database technologies: Understanding of relational databases, NoSQL databases, and other database systems. SQL: Proficiency in writing SQL queries for database management and data manipulation. Data modeling tools: Familiarity with tools like PowerDesigner, ERwin, or Visio. Communication and collaboration: Strong communication skills to effectively work with diverse teams and stakeholders. Problem-solving:. Ability to identify and resolve data model performance issues and ensure data accuracy.