Senior Data Management Specialist - SAS/Tableau in Hyderabad, भारत

About the job:Senior Data Management Specialist:Location: HyderabadExperience: 7+ YearsRole Type: Data Management / Data Analysis / Business IntelligenceIndustry: Banking / Financial ServicesRole Overview:We are looking for an experienced Senior Data Management Specialist with 7+ years of experience in data discovery, data analysis, data profiling, and data management, preferably within the banking or financial services https://jobeax.com/link/R7sen0HvXcbIeSIo ideal candidate will have a strong understanding of consumer banking products and business processes, excellent SQL and data analysis skills, and hands-on experience working with business intelligence tools and enterprise database https://jobeax.com/link/UuxHBYkbQjke5gQz candidate should be comfortable exploring large and complex datasets, identifying data patterns and issues, and translating business requirements into meaningful data https://jobeax.com/link/sqLRpl83f06RwMnI role requires strong analytical thinking, attention to detail, collaboration skills, and the ability to work independently in a fast-paced enterprise https://jobeax.com/link/EG3PG5FSTAqKZnRA Responsibilities:Data Discovery & Analysis:- Perform detailed data discovery, exploration, profiling, and analysis across multiple enterprise data sources.- Analyze large and complex datasets to identify trends, patterns, relationships, anomalies, and data quality issues.- Understand business requirements and translate them into data analysis and discovery activities.- Investigate data across multiple systems and sources to understand how information is captured, transformed, stored, and consumed.- Identify gaps, inconsistencies, and opportunities for improving data quality and usability.- Conduct root-cause analysis for data-related issues and provide actionable recommendations.- Support business and technology teams with data-driven insights and https://jobeax.com/link/dieG3jE8w1qpWb7o & Data Profiling:- Develop and execute complex SQL queries for data extraction, validation, profiling, reconciliation, and analysis.- Perform data profiling to understand data structures, completeness, accuracy, consistency, and relationships.- Work with large datasets and optimize queries where required for efficient analysis.- Perform data reconciliation across multiple database systems and applications.- Validate data against business rules and expected outcomes.- Document findings, data relationships, assumptions, and analysis https://jobeax.com/link/GPDVEOBdpuwLdZbZ Intelligence & Data Analysis Tools:- Use commonly adopted Business Intelligence and data analysis tools such as Tableau, SAS, Oracle, Microsoft tools, or similar platforms.- Perform data exploration and analysis using both SQL and non-SQL tools and techniques.- Create or support analytical views, reports, dashboards, and data extracts where required.- Interpret data from multiple sources and communicate findings to technical and business stakeholders.- Support data-driven decision-making by providing accurate and well-structured https://jobeax.com/link/J5e7uB67VlxsBDN9 & Technology Environment:- Work with multiple database management systems, including Amazon Redshift, Oracle, Microsoft SQL Server, and other relational and enterprise database platforms.- Work across different operating systems, including Windows and Unix/Linux environments.- Understand database structures, schemas, tables, relationships, keys, and data dependencies.- Investigate data across heterogeneous technology environments.- Collaborate with engineering and technology teams to understand upstream and downstream data https://jobeax.com/link/6RYKCvLOZ3oa0PYX Banking & Financial Services:- Apply strong knowledge of consumer banking and financial products while performing data analysis and discovery.- Understand banking business processes and how they impact data creation, processing, and consumption.- Analyze data in the context of banking products, customer journeys, accounts, transactions, and related business processes.- Work closely with business stakeholders to understand financial services requirements and translate them into data analysis activities.- Ensure analysis and recommendations align with business objectives and applicable financial services https://jobeax.com/link/H08fOq2NUahoLhsb Management & Data Design:- Support enterprise data management initiatives and data-related projects.- Contribute to data design activities, including understanding data models, structures, relationships, and dependencies.- Assist with defining and documenting data requirements and business rules.- Support data governance, data quality, and data management activities as required.- Identify opportunities to improve data consistency, accessibility, and reliability.- Partner with data architects, engineers, analysts, and business teams on data management https://jobeax.com/link/DIrDdMURYssl6yel Delivery:- Participate in Agile development and delivery processes.- Collaborate with Product Owners, Business Analysts, Data Engineers, Developers, QA teams, and other stakeholders.- Participate in Agile ceremonies such as sprint planning, daily stand-ups, backlog discussions, reviews, and retrospectives.- Provide data analysis and technical inputs throughout the project lifecycle.- Take ownership of assigned deliverables and ensure timely https://jobeax.com/link/x65HilwiwzT8D9on Collaboration:- Work effectively with both technical and business stakeholders.- Communicate complex data findings in a clear and understandable manner.- Collaborate across teams to resolve data issues and deliver business outcomes.- Take initiative in identifying potential issues and recommending solutions.- Manage multiple priorities while maintaining a high level of accuracy.- Build strong working relationships with cross-functional https://jobeax.com/link/oq8ejQTdCrDGJkvA Skills & Experience:- 7+ years of professional experience in data management, data analysis, data discovery, data profiling, business intelligence, or a closely related field.- Strong understanding of consumer banking products and business processes.- Strong hands-on experience with SQL and data analysis/profiling.- Experience performing data discovery and analysis using one or more commonly used BI/data analysis tools such as Tableau, SAS, Oracle, Microsoft data/BI tools, or similar enterprise data analysis platforms.- Strong understanding of data structures, relationships, data quality, and profiling concepts.- Experience working with multiple database management systems, such as Amazon Redshift, Oracle, Microsoft SQL Server, or other enterprise relational databases.- Experience working in Windows and Unix/Linux environments.- Ability to analyze data from multiple sources and identify discrepancies or patterns.- Strong analytical and problem-solving skills.- Ability to work independently and take initiative.- Strong collaboration and communication skills.- Excellent attention to detail.- Ability to manage complex data analysis assignments and deliver accurate https://jobeax.com/link/Fxc33cCykTpX9nj0 Skills & Experience:- Experience with data exploration using both SQL and non-SQL tools and techniques.- Experience with data profiling and data quality analysis.- Experience in data design or enterprise data management.- Experience working with data models, schemas, and data lineage.- Knowledge of data governance and data quality practices.- Experience working in an Agile/Scrum environment.- Previous experience in the financial services or banking industry.- Experience working with consumer banking or related financial products.- Experience collaborating with large enterprise technology and business teams.- Exposure to cloud-based data platforms and modern data technologies is an https://jobeax.com/link/VICSBow5WCE3j7lz Competencies:- Data Discovery & Exploration- Data Analysis & Profiling- Advanced SQL- Data Quality & Validation- Business Intelligence- Database Analysis- Consumer Banking Domain Knowledge- Data Management- Data Design- Analytical Problem Solving- Stakeholder Management- Agile Delivery- Attention to Detail- Communication & Collaboration- Ownership and Initiative (ref:hirist.tech)