4385 Data Quality Jobs

Key Responsibilities Design, develop, and execute test cases for ETL processes and data validation Perform database testing using SQL to validate data transformations, data quality, and data integrity Collaborate with BI, ETL, and data engineering teams to understand business and technical requirements Document test plans, test strategies, and test case execution results Analyze and report bugs, coordinate with developers to ensure timely resolution Conduct end-to-end data flow validation from source to target systems Skills Required 23 years of hands-on experience in ETL and Database Testing Strong proficiency in SQL (Joins, Aggregations, Subqueries) Good understanding of data warehousing concepts and ETL lifecycle Experience with tools like Informatica, Talend, SSIS (preferred but not mandatory) Ability to analyze complex datasets and identify data anomalies Good communication and documentation skills To Apply Walk-in / Contact: White Horse Manpower #12, Office 156, 3rd Floor, Jumma Masjid Golden Complex, Jumma Masjid Road, Bangalore 560051. Contact: 8553281886

As an APAC Director of Analytics & Insights Transformation at NTT DATA, your role is pivotal in engaging clients across targeted verticals to address their pains and realize their ambitions in the realm of analytics & insights. You will support client managers in various key areas including Account Planning, Opportunity Seeding, Opportunity Strategy & Execution, Portfolio Ideation, and In-Contract Innovation Strategy. Your responsibilities will involve understanding clients" enterprise-wide landscape, pains, and ambitions to identify solutions that align with their needs. You will play a crucial role in creating client awareness and interest in NTT DATA's portfolio offers, collaborating with solution and technical architects to develop multi-domain solutions, and optimizing value and costing to win deals. Additionally, you will share client needs with service divisions to enhance portfolios, track bookings growth, and define innovation strategies for ongoing client delivery. To excel in this role, you must possess expertise in industry value chain, client pains & ambitions, and business and IT practices related to insights and analytics. Strong analytical skills, knowledge of traditional and emerging technologies in data analytics, and the ability to translate complex data findings into actionable insights are essential. You should also be able to collaborate effectively with internal teams, create compelling presentations for clients, and have a deep understanding of NTT DATA's portfolio to position its value and differentiators effectively. The qualifications and experience required for this role include a Bachelor's degree in engineering, computer science, or a technology discipline, along with a total experience of 15+ years and 5+ years specializing in systems of insights. A master's degree in business management or executive management programs in business is preferred. Experience in machine/deep learning, artificial intelligence, big data, data science, cloud analytics, and data modeling in specific verticals such as FSI, manufacturing/auto, retail, and healthcare is crucial. NTT DATA, a trusted global innovator of business and technology services, is committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we invest significantly in research and development to support organizations in moving confidently into the digital future. Join us at NTT DATA and be part of a diverse team of experts working towards a sustainable and digitally transformed world.,

Are you passionate about leveraging data to drive decision-making and tackle intricate business problems A Manager Business Intelligence Engineer (BIE) role awaits you, where you will be at the helm of a proficient team of BI professionals, crafting cutting-edge analytics products that empower strategic choices across R&D, marketing, operations, and more. This is an exciting chance to amalgamate your technical prowess in SQL, Power BI, and Python with leadership acumen to deliver actionable insights and scalable BI solutions. In this role, you will lead and guide a team of BIEs in crafting advanced analytics and visualization solutions. Your responsibilities will encompass overseeing the entire BI development process, from data pipelines (utilizing SQL, Python) to dashboards (leveraging Power BI), along with providing user training. Upholding data quality, compliance, and governance standards across all BI endeavors will be essential, as well as collaborating with stakeholders to pinpoint data opportunities aligning with business requirements. Additionally, conducting peer code reviews, fostering continuous learning within the team, and staying updated on the latest BI trends and tools to foster innovation will be part of your routine. You will play a pivotal role in Agile pods, addressing intricate challenges with scalable BI solutions. The ideal candidate for this role would hold a Bachelors (or higher) degree in Computer Science, Engineering, Math, Physics, or Statistics, coupled with at least 8 years of experience in Business Intelligence, Data Engineering, or Analytics. Proficiency in SQL, coupled with robust expertise in Power BI or Tableau, is crucial. A sound command of Python for data manipulation and pipeline automation, proven experience in managing end-to-end BI projects, strong leadership and mentoring skills, and the ability to effectively communicate data insights to both technical and non-technical stakeholders are highly desired. A strategic mindset that can balance innovation with business priorities is also key. In return, you will have the opportunity to lead pivotal projects that directly influence business strategy, operate in a dynamic, innovation-centric environment, collaborate with global teams and business leaders, foster a culture of data-driven decision-making and continuous improvement, and chart a career trajectory in a high-impact role with substantial executive exposure.,

As a Data Quality Engineer, your primary responsibility will be to analyze business and technical requirements to design, develop, and execute comprehensive test plans for ETL pipelines and data transformations. You will perform data validation, reconciliation, and integrity checks across various data sources and target systems. Additionally, you will be expected to build and automate data quality checks using SQL and/or Python scripting. It will be your duty to identify, document, and track data quality issues, anomalies, and defects. Collaboration is key in this role, as you will work closely with data engineers, developers, QA, and business stakeholders to understand data requirements and ensure that data quality standards are met. You will define data quality KPIs and implement continuous monitoring frameworks. Participation in data model reviews and providing input on data quality considerations will also be part of your responsibilities. In case of data discrepancies, you will be expected to perform root cause analysis and work with teams to drive resolution. Ensuring alignment to data governance policies, standards, and best practices will also fall under your purview. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Information Technology, or a related field. Additionally, you should have 4 to 7 years of experience as a Data Quality Engineer, ETL Tester, or a similar role. A strong understanding of ETL concepts, data warehousing principles, and relational database design is essential. Proficiency in SQL for complex querying, data profiling, and validation tasks is required. Familiarity with data quality tools, testing methodologies, and modern cloud data ecosystems (AWS, Snowflake, Apache Spark, Redshift) will be advantageous. Moreover, advanced knowledge of SQL, data pipeline tools like Airflow, DBT, or Informatica, as well as experience with integrating data validation processes into CI/CD pipelines using tools like GitHub Actions, Jenkins, or similar, are desired qualifications. An understanding of big data platforms, data lakes, non-relational databases, data lineage, master data management (MDM) concepts, and experience with Agile/Scrum development methodologies will be beneficial for excelling in this role. Your excellent analytical and problem-solving skills along with a strong attention to detail will be valuable assets in fulfilling the responsibilities of a Data Quality Engineer.,

As an ETL Developer - USWA Client Data Quality Engineer, Associate at our Gurgaon, Haryana location, you will be part of the Data Operations team. Your primary responsibility will involve ensuring the quality of client data through efficient ETL (Extract, Transform, Load) processes. You will be required to work collaboratively with various stakeholders to identify data quality issues, design and implement ETL solutions to address these issues, and continuously monitor and improve data quality. Additionally, you will play a key role in optimizing data processes to enhance overall efficiency and effectiveness. The ideal candidate for this position should possess a strong understanding of ETL concepts, data quality best practices, and experience working with ETL tools and technologies. Strong analytical skills, attention to detail, and the ability to troubleshoot and resolve data quality issues are essential for success in this role. If you are passionate about data quality, enjoy working in a collaborative team environment, and are looking to contribute to the success of our USWA client data operations, we would love to hear from you. Apply now and be part of our dynamic Data Operations team!,

As an Infoscion, your main responsibility will be to interact with clients to ensure quality assurance, resolve issues, and maintain high levels of customer satisfaction. You will be involved in understanding requirements, designing, validating architecture, and delivering service offerings in the technology domain. Project estimation, solution delivery inputs, technical risk planning, code reviews, and unit test plan reviews will also be part of your tasks. Your role will involve leading and guiding teams to develop high-quality code deliverables, ensuring knowledge management, and adhering to organizational guidelines and processes. You will play a crucial role in building efficient programs/systems to support clients in their digital transformation journey. In addition to the primary skills of ETL and Data Quality, you are expected to have knowledge of multiple technologies, architecture and design fundamentals, testing tools, agile methodologies, and project life cycle activities. Understanding estimation methodologies, quality processes, business domain basics, analytical abilities, strong technical skills, and good communication skills are essential. Moreover, you should possess a good understanding of technology and domain, software quality assurance principles, SOLID design principles, and modelling methods. Awareness of the latest technologies and trends, along with excellent problem-solving, analytical, and debugging skills, will be valuable assets in this role.,

As a Data Architecture Specialist at Accenture, you will be part of a team of data architects focused on designing and executing industry-relevant reinventions that help organizations achieve exceptional business value through technology. You will be working in the Technology Strategy & Advisory practice, within the Capability Network, with a focus on Data Architecture at a Senior Manager level in locations like Bangalore, Mumbai, Pune, or Gurugram, requiring 15 to 21 years of experience. Accenture offers an exciting career opportunity for individuals who are problem solvers and passionate about technology-driven transformation. If you enjoy designing, building, and implementing strategies to enhance business architecture performance and want to be part of an inclusive, diverse, and collaborative culture, then Accenture Technology Strategy & Advisory is the place for you. In this role, you will collaborate with clients to unlock the value of data, architecture, and AI to drive business agility and transformation towards a real-time enterprise. Your responsibilities will include identifying and solving complex business problems through data analysis, helping clients design and scale their technology-driven journey, enabling architecture transformation, and assisting clients in building capabilities for growth and innovation. To excel in this role, you will need to present data strategy, develop technology solutions, and engage in C-suite level discussions. You should have a deep understanding of technologies such as big data, data integration, data governance, cloud platforms, and data modeling tools. Leading proof of concept implementations, demonstrating creative problem-solving abilities, leveraging business value drivers, developing client relationships, collaborating with diverse teams, and exhibiting strong leadership, communication, and organizational skills are key aspects of this role. If you are looking to bring your best skills forward and be part of a dynamic team that thrives on innovation and growth, the Data Architecture Specialist role at Accenture is the perfect opportunity for you.,

Job Summary: As a Data Engineer at WNS (Holdings) Limited, your primary responsibility will be handling complex data tasks with a focus on data transformation and querying. You must possess a strong proficiency in advanced SQL techniques and a deep understanding of database structures. Your role will involve extracting and analyzing raw data to support the Reporting and Data Science team, providing both qualitative and quantitative insights to meet the business requirements. Responsibilities: - Design, develop, and maintain data transformation processes using SQL. - Manage complex data tasks related to data processing and querying. - Collaborate with the Data team to comprehend data requirements and efficiently transform data in SQL environments. - Construct and optimize data pipelines to ensure smooth data flow and transformation. - Uphold data quality and integrity throughout the data transformation process. - Address and resolve data issues promptly as they arise. - Document data processes, workflows, and transformation logic. - Engage with clients to identify reporting needs and leverage visualization experience to propose optimal solutions. Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - Minimum of 2 years of experience in a Data Engineering role. - Profound proficiency in SQL, including advanced techniques for data manipulation and querying. - Hands-on experience with Power BI data models and DAX commands.,

QualityKiosk Technologies is a leading independent Quality Engineering (QE) and digital transformation provider, assisting businesses in delivering high-performing and user-friendly applications. Established in 2000, the company specializes in services such as QA automation, performance assurance, intelligent automation (IA), robotic process automation (RPA), customer experience management, SRE, cloud, data analytics, and more. With a global presence in over 25 countries and a team of 4,000+ professionals, QualityKiosk caters to major players in industries like banking, e-commerce, telecom, automotive, insurance, OTT, and pharmaceuticals. Acknowledged by Forrester, Gartner, and other leading institutions, it serves 50 of India's Fortune 100 companies and 18 of the global Fortune 500 companies. Committed to innovation and swift execution, the company aims for a 5X growth in revenue and workforce in the next five years. Location: Mahape Experience: 2 years Early Joiners preferred! Strategic Responsibilities: - Support the development of the Data Strategy. - Assist the DQ Lead in implementing data governance frameworks, policies, and standards. - Help establish the Data Governance Office as a center of excellence fostering a data-driven culture. - Stay updated on industry and regulatory trends to drive data initiatives. - Advocate for data quality and position data as a strategic asset. Core Responsibilities: - Support reporting on data quality performance and standards. - Develop and maintain data quality rules and profiling tools using Informatica DQ. - Contribute to data catalog artifacts including definitions, lineage, and standards. - Manage organizational reference data. - Provide expertise on systems and processes for enhancing data quality. Additional Accountabilities: - Develop data quality dashboards and monitoring tools. - Assist in Root Cause Analysis (RCA) and collaborate with business teams on data quality analysis. Communication: - Cultivate strong relationships across business units and support functions. - Engage with vendors, data partners, consultants, and regulators. Key KPIs: - Successful delivery of the Data Quality (DQ) roadmap. - Decrease in high-priority data issues. - Enhanced stakeholder satisfaction. - Measurable enhancements in data quality. Decision-Making Scope: - Offer advice on data governance implementation and strategic priorities. - Recommend budget allocations for data-related initiatives. Qualifications & Experience: - Bachelor's degree with 2+ years of experience in data roles. - Proficiency in data quality, governance, and financial services. - Skilled in Informatica DQ, SQL, and dashboard tools. - Possess strong analytical, communication, and stakeholder management skills.,

As a Data Champion at Siemens Energy, you will play a crucial role in ensuring high-quality, accessible, and reliable supplier and material data within the procurement function. Your responsibilities will include collaborating with various business units and technical teams to identify and address data gaps in SAP and MDG systems, supporting the implementation of the Data Strategy, and promoting a culture of data literacy. By serving as a trusted advisor, you will be the key point of contact for data quality initiatives, facilitating data-driven decisions that enhance procurement effectiveness. In this role, you will evaluate supplier data in SAP and MDG to identify discrepancies and gaps, working closely with Business and MDG teams to maintain accurate data records. Additionally, you will collaborate with commodity managers and operational buyers to drive efforts for cleansing supplier data and support the implementation of the company's Data Strategy within procurement. Your involvement in Data Circle and community initiatives will contribute to improving procurement data quality, while also acting as a single point of contact for projects focused on enhancing data quality in TI Procurement. Your ability to partner with Data Stewards to track project progress and improvements in data quality, as well as your skills in identifying and addressing data quality issues, will be essential. Strong problem-solving skills, effective communication with technical and non-technical audiences, and a proactive approach to resolving data challenges are key aspects of this role. Furthermore, your analytical mindset, passion for data accuracy, and ability to manage multiple customers and priorities in a multi-functional environment will be valuable assets. To be successful in this position, you should have over 3 years of procurement experience with a focus on Supplier and Material Master data management. Hands-on experience with SAP, MDG, or Ariba systems is required, along with a degree in Business, Data Science, Information Systems, or a related field. Previous experience in data-related roles or business analysis is highly regarded, and knowledge of data visualization tools like Power BI or Tableau is a plus. Excellent communication, analytical, and interpersonal skills are also essential for this role. Join the distributed team at Siemens Energy, a global energy technology company dedicated to developing sustainable energy systems for the future. With a diverse workforce of over 100,000 employees in more than 90 countries, we are committed to driving the energy transition and meeting the world's growing energy demand reliably and sustainably. Discover how you can contribute to our mission of decarbonization, innovation, and energy transformation by visiting https://www.siemens-energy.com/employeevideo. At Siemens Energy, we believe in the power of diversity and inclusion. Our workforce of over 130 nationalities thrives on creativity and collaboration, regardless of ethnic background, gender, age, religion, identity, or disability. We energize society by embracing our differences and ensuring equal opportunities for all individuals. As part of the benefits package at Siemens Energy, all employees receive automatic coverage under Medical Insurance, including a considerable Family floater cover for employee, spouse, and up to 2 dependent children. Additionally, the company offers the option to opt for a Meal Card as a tax-saving measure, in accordance with the company policy. Join us at Siemens Energy and be part of a team that is dedicated to making sustainable, reliable, and affordable energy a reality. Your contributions will help shape the future of energy systems and drive the global energy transition.,

At PwC, the focus in software and product innovation is on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in this role deliver innovative software products and solutions. In the testing and quality assurance department at PwC, the primary focus is on evaluating systems or software applications to identify defects, errors, or gaps in functionality. This involves executing various test cases and scenarios to ensure that the system meets specified requirements and performs as expected. As an individual in this role, you are expected to be driven by curiosity and be a reliable, contributing member of a team. In a fast-paced environment, adaptability is key as you will work with a variety of clients and team members, each presenting unique challenges and scope. Every experience is viewed as an opportunity for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is essential. As you progress through the Firm, you have the opportunity to build a brand for yourself, opening doors to further opportunities. Some of the key skills, knowledge, and experiences required to excel in this role include: - Applying a learning mindset and taking ownership for personal development - Appreciating diverse perspectives, needs, and feelings of others - Adopting habits to sustain high performance and develop potential - Actively listening, asking questions for clarity, and expressing ideas clearly - Seeking, reflecting on, acting on, and providing feedback - Gathering information from various sources to analyze facts and discern patterns - Committing to understanding how the business operates and developing commercial awareness - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements Oracle EPM Hyperion Testing Senior Associate Job Description: We are seeking a Testing resource with experience in testing Oracle Hyperion applications, particularly with a strong technical skill set in leading and executing end-to-end testing activities for Hyperion Essbase and Planning. The role involves creating Manual and Automation scripts as per client requirements, with a focus on test planning, execution, automation, and defect management for PBCS and Essbase modules. Additionally, responsibilities include configuration, test script execution, test data creation, performing proof of concept, building user training materials, and supporting testing milestones. Qualifications and Skills required for this role include: - Bachelor's degree in computer science, Information Technology, or a related field - 6-9 years of experience in Testing of Oracle Hyperion for PBCS, Essbase modules - 4-6 years of experience in Automation Testing - 6-7 years of experience in Manual Testing - Deep functional knowledge of Hyperion Essbase and Planning applications, especially PBCS, Essbase - Experience in SmartView Retrieve and analysis - Excellent communication skills and ability to interact with external teams or clients - End-to-end implementation experience in EPM cloud/on-prem applications - Strong expertise in test management, defect tracking, and reporting tools - Experience with Agile methodologies and DevOps practices - Ability to work effectively as a team member or independently, and mentor and guide junior testers - Exceptional analytical and problem-solving skills Additional Information: - Travel Requirements: Travel to client locations may be required as per project requirements - Shift Requirements: May be required to work on shifts as per project requirements - Line of Service: Advisory - Industry: Testing Managed Services - Designation: Senior Associate - Location: Bangalore, India This role presents an opportunity for individuals with the right skills and experience to contribute to cutting-edge software solutions and product innovation while ensuring the quality and functionality of systems and applications.,

You are a strategic thinker passionate about promoting solutions in financial analysis. You have found the right team. As a Data Quality Analyst, you will collaborate with teams across the Corporate and Investment Bank and the broader bank to address and resolve data quality issues, develop monitoring metrics, and provide insights into identified challenges. Support the Corporate & Investment Banking Ops Risk Data Quality lead executing the Operational Risk data quality reviews across Corporate & Investment Banking. Build and maintain documentation and guidance to support the implementation of the Operational Risk Data Quality framework, improving overall data quality by removing subjectivity and driving a standardized approach. Support the Corporate & Investment Banking CORE team in managing the Data Quality working group, brainstorm ideas to improve CORE & RED data quality, and seek feedback from stakeholders across CIB, including Corporate, as appropriate. Perform qualitative reviews in line with firmwide CORE & RED standards and procedures on a periodic basis and share findings within the team. Track and review Data Quality observations with the CIB groups. Ensure timely escalation of material gaps or challenges relating to Operational Risk Data Quality, raising issues to the Corporate & Investment Banking CORE / Governance lead as appropriate. Perform root cause analysis and make recommendations for addressing identified deficiencies. Identify ways to continuously improve existing processes by leveraging Intelligent Automation solutions. Required qualifications, capabilities, and skills: - Bachelor's degree in Accounting, Finance, or a subject of a technical nature. - Proficiency with data mining/gathering and manipulation of data sets. - Inquisitive, enthusiastic, and diligent, and capable of challenging peers. - Strong verbal and written communication skills, with the ability to articulate complex issues clearly. - Ability to create ad hoc reporting for senior management. - Highly motivated and able to thrive and think clearly under pressure and tight deadlines. Preferred qualifications, capabilities, and skills: - Team player with the ability to be respected as a trusted partner for the Business, Finance, and FP&A Teams. - Highly motivated self-starter with excellent time management/prioritization skills. - Strong analytical and problem-solving skills with the ability to analyze large data sets and present conclusions concisely.,

We are seeking a skilled Data Analyst with exceptional communication abilities and in-depth proficiency in SQL, Tableau, and contemporary data warehousing technologies. As a Data Analyst, you will be responsible for designing data models, creating insightful dashboards, ensuring data quality, and extracting valuable insights from extensive datasets to aid strategic business decisions. Your primary responsibilities will include writing advanced SQL queries to extract and manipulate data from cloud data warehouses like Snowflake, Redshift, or BigQuery. You will design and implement data models that cater to analytical and reporting requirements, as well as develop dynamic, interactive dashboards and reports utilizing tools such as Tableau, Looker, or Domo. Additionally, you will engage in advanced analytics techniques like cohort analysis, time series analysis, scenario analysis, and predictive analytics. Ensuring data accuracy through thorough quality assurance checks, investigating data issues, and collaborating with BI or data engineering teams for root cause analysis will also be part of your role. Effective communication of analytical insights to stakeholders is crucial in this position. The ideal candidate must possess excellent communication skills, have at least 5 years of experience in data analytics, BI analytics, or BI engineering roles, and exhibit expert-level proficiency in SQL. Proficiency in data visualization tools like Tableau, Looker, or Domo is essential, along with a strong grasp of data modeling principles and best practices. Hands-on experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle is required. Intermediate-level proficiency in spreadsheet tools like Excel, Google Sheets, or Power BI is necessary, including functions, pivots, and lookups. A Bachelor's or advanced degree in a relevant field like Data Science, Computer Science, Statistics, Mathematics, or Information Systems is preferred. The ability to collaborate with cross-functional teams, including BI engineers, to enhance reporting solutions is vital. Experience in managing large-scale enterprise data environments is advantageous, and familiarity with data governance, data cataloging, and metadata management tools is a plus. This is a full-time position with benefits such as health insurance, paid time off, and Provident Fund. The work schedule is Monday to Friday, and the job requires in-person presence. Education requirements include a Bachelor's degree, and candidates should have at least 5 years of experience in data analytics and 2 years of experience with Tableau. Job Type: Full-time Benefits: - Health insurance - Paid time off - Provident Fund Schedule: Monday to Friday Education: Bachelor's (Required) Experience: - Data analytics: 5 years (Required) - Tableau: 2 years (Required) Work Location: In person,

You will be joining our team as a Technical Support Analyst (Data-Focused), working remotely to support our growing Analytics/tech-support team. In this hybrid role, you will be responsible for bridging data analysis, technical investigation, and hands-on coding to resolve data issues, maintain script-based tools, and provide technical insights to our internal stakeholders. The ideal candidate should possess a strong analytical mindset, excellent Python and SQL skills, experience with Athena or large-scale datasets, and a keen attention to detail. Your primary responsibilities will include investigating and resolving data inconsistencies or anomalies reported by business or engineering teams, writing and debugging Python scripts for automation and data analysis, running SQL queries for data investigations, analyzing logs and data flows to troubleshoot technical issues, building and supporting internal tools for monitoring and reporting, and collaborating with product, data, and engineering teams to ensure data quality and integrity. Additionally, you will be expected to maintain detailed documentation of your findings, tools, and processes. To excel in this role, you should have strong Python skills for scripting and basic data processing, proficiency in SQL including joins and analytical queries, hands-on experience with AWS Athena or similar distributed query engines, general coding/debugging experience, familiarity with CLI/terminal environments and structured/unstructured data, a proven attention to detail, strong analytical and problem-solving skills, and technical curiosity. Preferred skills that would be a bonus include experience with AWS tools such as S3, Glue, Lambda, and CloudWatch, familiarity with Git and basic version control workflows, understanding of ETL pipelines, data validation, or schema management, exposure to dashboards like Metabase, Looker, or Tableau, ability to work with REST APIs for debugging or automation, and experience in cross-functional, collaborative teams. In terms of education and experience, a Bachelor's degree in a technical field (Computer Science, Engineering, Data Science) or equivalent practical experience is required, along with at least 3 years of experience in a technical analyst, data support, or operational engineering role. We are looking for a candidate with strong communication skills to explain findings to both technical and non-technical audiences, a team-first attitude willing to help others and adapt to changing priorities, a proactive, detail-oriented, and solution-driven approach, and the ability to multitask between support tickets, tooling, and analysis. Joining our team means being part of Affle, a global technology company focused on delivering consumer recommendations and conversions through relevant mobile advertising. Affle aims to enhance returns on marketing investment by reducing digital ad fraud and powering unique consumer journeys for marketers. Affle Holdings is the Singapore-based promoter for Affle 3i Limited, with investors including Microsoft and Bennett Coleman & Company (BCCL). If you are interested in being part of a dynamic team and making a difference in the mobile advertising industry, please visit our website at www.affle.com for more information.,

Your Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL). Collaborate with solution teams and Data Architects to implement data strategies, build data flows, and develop logical/physical data models. Work with Data Architects to define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Engage in hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Proactively and independently address project requirements and articulate issues/challenges to reduce project delivery risks. Your Profile Bachelor's degree in computer/data science technical or related experience. Possess 7+ years of hands-on relational, dimensional, and/or analytic experience utilizing RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols. Demonstrated experience with data warehouse, Data Lake, and enterprise big data platforms in multi-data-center contexts. Proficient in metadata management, data modeling, and related tools (e.g., Erwin, ER Studio). Preferred experience with services in Azure/Azure Databricks (Azure Data Factory, Azure Data Lake Storage, Azure Synapse & Azure Databricks) and working on SAP Datasphere is a plus. Experience in team management, communication, and presentation. Understanding of agile delivery methodology and experience working in a scrum environment. Ability to translate business needs into data vault and dimensional data models supporting long-term solutions. Collaborate with the Application Development team to implement data strategies, create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects. Maintain logical and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure data model consistency. Recommend opportunities for data model reuse in new environments. Perform reverse engineering of physical data models from databases and SQL scripts. Evaluate data models and physical databases for variances and discrepancies. Validate business data objects for accuracy and completeness. Analyze data-related system integration challenges and propose appropriate solutions. Develop data models according to company standards. Guide System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces. Review modifications to existing data models to improve efficiency and performance. Examine new application design and recommend corrections as needed. #IncludingYou Diversity, equity, inclusion, and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. ADM is committed to attracting and retaining a diverse workforce and creating welcoming, inclusive work environments that enable every ADM colleague to feel comfortable, make meaningful contributions, and grow their career. ADM values the unique backgrounds and experiences that each person brings to the organization, understanding that diversity of perspectives makes us stronger together. For more information regarding ADM's efforts to advance Diversity, Equity, Inclusion & Belonging, please visit the website: Diversity, Equity and Inclusion | ADM. About ADM At ADM, the power of nature is unlocked to provide access to nutrition worldwide. With industry-advancing innovations, a comprehensive portfolio of ingredients and solutions catering to diverse tastes, and a commitment to sustainability, ADM offers customers an edge in addressing nutritional challenges. As a global leader in human and animal nutrition and the premier agricultural origination and processing company worldwide, ADM's capabilities in insights, facilities, and logistical expertise are unparalleled. From ideation to solution, ADM enriches the quality of life globally. Learn more at www.adm.com.,

As a Data Steward at PepsiCo, you will play a crucial role in maintaining alignment with the Enterprise Data Governance's processes, rules, and standards to ensure that data is fit for purpose within your respected data domain(s). You will serve as the single point of contact for those creating and consuming data, working closely with global data governance team, local businesses, key stakeholders, and relevant subject matter experts to drive data accuracy, integrity, and adherence to data governance practices. Your responsibilities will include collaborating with PepsiCo's Governance Council, advising on data governance matters, monitoring operational incidents, supporting root cause analysis, proposing optimizations to the Data Governance framework, and providing recommendations for new data standards and policies. You will partner closely with the PepsiCo Financial Planning & Analysis (FP&A) team to ensure data requirements are met for timely, accurate, and insightful reporting and analysis. By promoting data accuracy and adherence to global governance practices, you will drive acceptance of enterprise data standards and policies across various business segments. Additionally, you will advise stakeholders on data governance matters, monitor data quality, provide recommendations for new data standards, and ensure that data-related changes align with established data governance standards. As a Data Steward, you will champion the single set of Enterprise-level data standards, own domain perspectives in defining the roadmap for enterprise data governance, and ensure alignment of data governance processes with applicable enterprise and local data support models. Your role will involve collaborating across the organization to drive organizational acceptance of established data standards, promoting PepsiCo's Enterprise Data Governance Capability, and ensuring consistency in data governance and management principles across PepsiCo's enterprise systems and data domains. To qualify for this role, you should have at least 5 years of experience in Data Governance or Data Management within a global Consumer Packaged Goods (CPG) company, with a strong background in data management, data quality, and stewardship. You should also have 7+ years of experience working with data across multiple domains, particularly in Finance data, and a minimum of 5 years of experience in designing standards for data cataloging processes and tools. Strong communication skills, the ability to influence stakeholders at all levels, and the capacity to translate business requirements into critical data dependencies are essential for success in this role. In summary, as a Data Steward at PepsiCo, you will be responsible for ensuring data accuracy, integrity, and adherence to data governance practices within your respected data domain(s). By collaborating with key stakeholders, driving organizational acceptance of data standards, and promoting PepsiCo's Enterprise Data Governance Capability, you will play a crucial role in maintaining consistency and effectiveness in data governance and management principles across the organization.,

The team at Walmart Global Tech builds reusable technologies to assist in acquiring customers, onboarding and empowering merchants, and ensuring a seamless experience for all stakeholders. They focus on optimizing tariffs and assortment while maintaining Walmart's philosophy of Everyday Low Cost. Additionally, the team creates personalized omnichannel experiences for customers across various platforms. The Marketplace team serves as the gateway for Third-Party sellers, enabling them to manage their onboarding, catalog, orders, and returns. They are responsible for designing, developing, and operating large-scale distributed systems using cutting-edge technologies. As a Staff Data Scientist at Walmart Global Tech, you will be responsible for developing scalable end-to-end data science solutions for data products. You will collaborate with data engineers and analysts to build ML- and statistics-driven data quality workflows. Your role will involve solving business problems by scaling advanced Machine Learning algorithms on large datasets. You will own the MLOps lifecycle, from data monitoring to model lifecycle management. Additionally, you will demonstrate thought leadership by consulting with product and business stakeholders to deploy machine learning solutions. The ideal candidate should have knowledge of machine learning and statistics, experience with web service standards, and proficiency in architecting solutions with Continuous Integration and Continuous Delivery. Strong coding skills in Python, experience with Big Data technologies like Hadoop and Spark, and the ability to work in a big data ecosystem are preferred. Candidates should have experience in developing and deploying machine learning solutions and collaborating with data scientists. Effective communication skills and the ability to present complex ideas clearly are also desired. Educational qualifications in Computer Science, Statistics, Engineering, or related fields are preferred. Candidates with prior experience in Delivery Promise Optimization or Supply Chain domains and hands-on experience in Spark or similar frameworks will be given preference. At Walmart Global Tech, you will have the opportunity to work in a dynamic environment where your contributions can impact millions of people. The team values innovation, collaboration, and continuous learning. Join us in reimagining the future of retail and making a difference on a global scale. Walmart Global Tech offers a hybrid work model that combines in-office and virtual presence. The company provides competitive compensation, incentive awards, and a range of benefits including maternity leave, health benefits, and more. Walmart fosters a culture of belonging where every associate is valued and respected. The company is committed to creating opportunities for all associates, customers, and suppliers. As an Equal Opportunity Employer, Walmart believes in understanding, respecting, and valuing the uniqueness of individuals while promoting inclusivity.,

The role of a Senior Data Governance Resource at Cittabase entails spearheading the design and implementation of a robust data governance framework aligned with industry best practices and regulatory requirements. Drawing on your extensive experience in data governance methodologies, you will collaborate with business stakeholders to address data needs and challenges effectively. Your responsibilities will include developing and maintaining data governance policies, overseeing data quality initiatives, and identifying key data governance projects. As a seasoned professional with 8-10 years of experience in data governance or related fields, you will play a crucial role in championing data governance across the organization and fostering a data-driven culture. Your expertise in data governance tools, such as Informatica Data Governance, will be instrumental in automating data governance processes and workflows. Additionally, you will lead training programs to educate stakeholders on data governance principles and practices while tracking and reporting on key data governance metrics and KPIs. The ideal candidate for this role should possess strong analytical and problem-solving skills, along with excellent communication, collaboration, and interpersonal abilities. Proficiency in data quality concepts, relevant data privacy regulations, and a demonstrated ability to mentor junior team members are essential qualifications for this position. By joining the dynamic team at Cittabase, you will have the opportunity to contribute to innovative data governance projects and stay abreast of emerging trends and technologies in the data governance sphere. If you are a data governance professional seeking a challenging and rewarding opportunity, we invite you to apply for this full-time, permanent position in Chennai, TN, India. Take the next step in your career and be part of our exciting journey at Cittabase. Apply now to make a meaningful impact with us.,

About the Role We are looking for a highly skilled and experienced Informatica Data Management Cloud (IDMC) Architect/Tech Lead to join our dynamic team at Cittabase. As the IDMC Architect/Tech Lead, your primary responsibility will be to lead the design, implementation, and maintenance of data management solutions utilizing the Informatica Data Management Cloud platform. You will collaborate closely with cross-functional teams to create scalable and efficient data pipelines, ensure data quality and governance, and oversee the successful delivery of data projects. The ideal candidate will demonstrate advanced expertise in Informatica IDMC, possess strong leadership qualities, and have a proven track record of driving data initiatives to success. Responsibilities - Lead the design and implementation of data management solutions using Informatica Data Management Cloud. - Develop end-to-end data pipelines for data ingestion, transformation, integration, and delivery across various sources and destinations. - Work with stakeholders to gather requirements, establish data architecture strategies, and translate business needs into technical solutions. - Provide technical leadership and guidance to a team of developers, ensuring compliance with coding standards, best practices, and project timelines. - Conduct performance tuning, optimization, and troubleshooting of Informatica IDMC workflows and processes. - Stay informed about emerging trends and technologies in data management, Informatica platform updates, and industry best practices. - Serve as a subject matter expert on Informatica Data Management Cloud, engaging in solution architecture discussions, client presentations, and knowledge-sharing sessions. Qualifications - Bachelor's degree in computer science, Information Technology, or a related field. - 8-12 years of experience in IT with specialization in Data Management (DW/Data Lake/Lakehouse). - 6-10 years of experience in Informatica suite of products such as PowerCenter/Data Engineering/CDC. - Profound understanding of RDBMS/Cloud Database architecture. - Experience in implementing a minimum of two full lifecycle IDMC projects. - Strong grasp of data integration patterns and data modeling concepts. - Hands-on experience with Informatica IDMC configurations, Data modeling & Data Mappings. - Demonstrated leadership experience, with the ability to mentor team members and foster collaboration. - Excellent communication skills, enabling effective interaction with technical and non-technical stakeholders. - Capability to collaborate with PM/BA to translate requirements into a working model and work with developers to implement the same. - Preparation and presentation of solution design and architecture documents. - Knowledge of Visualization/BI tools will be an added advantage. Join us and contribute to our innovative projects by applying now to be part of our dynamic team!,

The Data Architecture Specialist Join our team of data architects who design and execute industry-relevant reinventions that allow organizations to realize exceptional business value from technology. You will be a part of the Technology Strategy & Advisory practice at Accenture, operating at the level of Sr Manager in locations like Bangalore, Mumbai, Pune, and Gurugram. With 15 to 21 years of experience, you will explore exciting opportunities to contribute to Accenture's global initiatives in Technology Strategy & Advisory. As a Data Architecture Specialist, you will collaborate with clients to leverage data, architecture, and AI to drive business agility and real-time transformation. Your responsibilities will include: - Conducting in-depth analysis to identify and solve complex business problems - Guiding clients in designing and scaling technology-driven growth journeys - Facilitating architecture transformations for improved business outcomes - Enabling clients to build capabilities for sustained high performance and innovation To excel in this role, you are expected to: - Present data strategies and technology solutions for C-suite discussions - Demonstrate expertise in technologies like big data, data integration, and cloud platforms - Lead proof of concept implementations and scale them across various domains - Showcase proficiency in data-led projects and RFP responses - Utilize analytical skills in problem-solving and understanding business value drivers - Develop client relationships and manage stakeholder engagements effectively - Collaborate with diverse teams, leveraging leadership and communication skills to achieve common goals If you are a problem solver with a passion for technology-driven transformations and a desire to enhance business architecture performance, Accenture Technology Strategy & Advisory is the perfect place for you to contribute your skills and expertise. Welcome to a dynamic and inclusive culture where innovation and collaboration thrive.,

As a Data Governance AD at Talent Worx, your primary responsibility will be to assist our clients in establishing and managing data governance frameworks. This role demands a unique combination of strategic thinking and practical implementation skills to ensure data quality, integrity, and compliance across the organization's data assets. You will collaborate closely with stakeholders to develop policies, processes, and tools that govern data usage while promoting data literacy throughout the organization. Your key responsibilities will include developing and implementing data governance frameworks, policies, and procedures. You will work with cross-functional teams to devise data classification and data lifecycle management strategies. It will be essential to establish data quality metrics and monitoring processes to maintain data consistency and accuracy. Guiding data stewardship initiatives, facilitating data governance meetings, and providing training and support to ensure teams adhere to governance policies will also be part of your role. Additionally, you will monitor compliance with data governance policies and report governance metrics to key stakeholders. Staying updated on industry best practices, trends, and regulatory requirements related to data governance will be crucial. To qualify for this role, you should hold a Bachelor's degree in Information Technology, Business Administration, or a related field and have 12+ years of experience in data governance, data management, or related roles. Demonstrated experience in developing and implementing data governance frameworks, a strong understanding of data governance tools, methodologies, and best practices, familiarity with data quality concepts and data management principles, and experience in stakeholder engagement are essential. Excellent communication, presentation, and interpersonal skills, along with the ability to think critically and strategically about data governance challenges, are also required. In return, you will have the opportunity to work with one of the Big 4's in India. ,

Aera Technology is revolutionizing enterprise decision-making. Our AI-driven platform, Aera Decision Cloud, integrates seamlessly with existing systems to digitize, augment, and automate critical business decisions in real-time. Aera helps global enterprises transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world's best-known brands. We are looking for a Product Manager - Data to lead the evolution of our core Decision Intelligence capabilities. You will redefine how organizations harness data and AI to drive smarter, faster, and more sustainable decision-making. This is an exciting opportunity to be at the forefront of enterprise AI innovation, collaborating with a dynamic team in a fast-paced, startup-like environment. This role will be based in our Pune office. Responsibilities As a Product Manager, you will own the strategy, development, and execution of key platform components required for building a Decision Data Model which enables enterprises to build powerful AI-driven workflows. Lead product strategy & execution: Define and drive priorities, roadmap, and development efforts to maximize business value. Understand market needs: Research target users, use cases, and feedback to refine features and address customer pain points. Analyze competitive landscape: Stay ahead of industry trends and competitors to inform product differentiation. Define product requirements: Work closely with designers and engineers to develop user-centric, scalable solutions. Collaborate cross-functionally: Partner with Customer Success, Engineering, and Executive teams to align on vision and priorities. Drive user adoption: Act as the go-to expert, ensuring internal teams are equipped with the knowledge and resources to enable customers. About You You are passionate - you are your product's biggest advocate, and its biggest critic. You will ceaselessly pursue excellence and do whatever it takes to deliver a product that users love and that delivers value. You are pragmatic - you know when to focus on nuanced details, and when to bring a more strategic perspective to the table. You love to learn - you continually gather new information, ideas, and feedback, and you seek to understand the root of an issue, in order to identify an optimal solution. You are a master at communication and collaboration - not only can you communicate a compelling vision or a complex concept, but you also know how to motivate a team to collaborate around a problem and work toward a common goal. Experience At least 2 yrs of B2B SaaS PM experience Mandatory. Experience in data infrastructure, AI/ML platforms, or enterprise data products. Knowledge of data modeling, SQL, and ETL/ELT processes. Knowledge of data quality, metadata management, data lineage, and observability is a plus. Bachelor's degree in Engineering/Computer Science or a related technical discipline. If you share our passion for building a sustainable, intelligent, and efficient world, you're in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let's build this! Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You'll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you're working from the office, you'll also have access to a fully-stocked kitchen with a selection of snacks and beverages.,

As a Senior Database Developer at Kobie's India Tech Hub, you will have the opportunity to be one of the first hires in an exciting new venture. Kobie, a leading player in the loyalty industry, is expanding its global footprint by establishing a Tech Hub in India. This initiative aims to create deep connections with customers through personalized, data-driven loyalty experiences, further enhancing enterprise value through loyalty. Your role will involve designing scalable, data-driven solutions for high-impact loyalty platforms, leveraging your expertise in PL/pgSQL, efficient SQL queries, performance tuning, and ETL workflows. You will work with Oracle and/or PostgreSQL databases, handling complex data structures to support data integration, transformation, and analytics. As a key member of the team, you will be responsible for developing and maintaining database solutions that facilitate client onboarding, reward processing, data quality assurance, and operational performance. Collaboration with cross-functional teams such as developers, QA specialists, analysts, and DBAs will be essential to optimize data pipelines and queries, ensuring they meet the evolving needs of clients and marketing platforms. Your impact will be significant as you contribute to import and extract processes, data migration efforts, troubleshooting data quality and performance issues, tuning queries for optimal performance, supporting data integration from various sources, and providing technical assistance to stakeholders. Your ability to work both independently and collaboratively, manage priorities effectively, and communicate with technical and non-technical team members will be crucial for success. To excel in this role, you should have 5-7+ years of experience in SQL query design and maintenance, proficiency in Oracle and/or PostgreSQL, expertise in performance tuning, ETL development, data security, and a track record of working in team environments. Bonus skills include experience with data mapping tools, modern cloud platforms like Snowflake, job scheduling automation, version control systems, and supporting Java-based development teams. At Kobie, known for its award-winning culture and innovative loyalty solutions, you will be part of a collaborative and growth-focused environment. As a trusted partner to global brands, Kobie focuses on building lasting emotional connections with consumers through strategy-led technology solutions. The launch of the India Tech Hub presents an exciting opportunity to be part of a culture that values diversity, equity, inclusion, and giving back to the community. Joining Kobie means access to competitive benefits, comprehensive health coverage, well-being perks, flexible time off, and opportunities for career growth. The integration of new teammates in India with U.S. teams, exposure to global projects, and the future establishment of a physical office in Bengaluru emphasize Kobie's commitment to collaboration and connection. This is your chance to be part of something significant and shape the future of the Kobie India Tech Hub. Apply now and contribute to delivering innovative customer experiences for renowned brands while working alongside industry leaders in the loyalty space.,

Working at AxionConnect is more than just a job. It's an opportunity to grow, learn, and thrive in a supportive and inspiring environment. We prioritize the well-being and development of our employees, offering a range of benefits and resources to enhance their professional and personal lives. From training and mentorship programs to flexible work arrangements and employee engagement initiatives, we are committed to ensuring that our team members have the tools and support they need to succeed. Reputation and Industry Leadership As a prominent ITES brand, AxionConnect has established a strong reputation for delivering innovative and cutting-edge solutions to our clients. With a proven track record of success, we have become a trusted partner in the industry, working with leading organizations across various sectors. Culture of Excellence We foster a culture of excellence, encouraging our employees to push boundaries, think creatively, and continuously strive for improvement. We invest in the latest technologies and provide a conducive work environment that empowers our team members to excel in their respective roles. Collaborative and Inclusive Environment At AxionConnect, we believe that collaboration and inclusivity drive innovation. We encourage open communication, teamwork, and knowledge sharing, creating an environment where diverse perspectives are valued and embraced. Our inclusive culture enables our employees to thrive and achieve their full potential. Career Growth Opportunities We are committed to the professional growth and development of our employees. We provide ongoing training, mentorship, and advancement opportunities, allowing individuals to expand their skill sets, take on new challenges, and progress in their careers within AxionConnect. If you are passionate about innovation, collaboration, and making a difference, we invite you to join our community at AxionConnect. We are always seeking talented individuals who are driven to excel and thrive in a dynamic and fast-paced environment. Together, we can create meaningful solutions and shape the future of the ITES industry. Tech Jobs: Principal Consultant BI/DI We're seeking a skilled SAS BI Developer to enhance our tech website's data-driven capabilities. Your role involves automating reporting processes, guiding users in SAS tool utilization, and ensuring data integrity. Join us to optimize data analysis, ETL, and reporting through your expertise in SAS BI, DW/BI concepts, and advanced analytics. The candidate should be well aware of the domain she/he has worked in for a project. Should have in-depth knowledge of DW/BI concepts, Dimensional Modeling, and experience in using SAS Data Integration Studio for data extraction, transformation, and loading. Expertise in creating complex reports, ETL processes, job scheduling, and user roles. Hands-on experience in Base SAS, Advance SAS Programmer, SAS Macros, SAS/Access, SQL, and optimization techniques, along with Unix Operating Systems and scheduling tools knowledge is required. Strong experience in Data Validation, Data Quality, and Error handling is preferred. Desired profile of the candidate: Hands-on experience in Base SAS, Advance SAS Programmer, SAS Macros, SAS/Access, SQL, and optimization techniques, SAS DI/BI Developer.,

You are a detail-oriented Functional expert with technical proficiency, sought for the role of Manager, OneStream Administrator. Your primary responsibility will be to support, maintain, and enhance the OneStream platform and financial planning processes. To excel in this role, you should possess 5+ years of IT development experience in EPM solutions, with a minimum of 2 years of hands-on experience with OneStream in large, multi-country environments. Your key duties will include ensuring the accuracy, consistency, and usability of financial data and reporting tools used by the Finance and FP&A teams. You will drive continuous improvement initiatives aimed at streamlining financial consolidation, reconciliations, reporting, and financial planning processes. A deep understanding of finance functions, coupled with practical expertise in administering OneStream or similar EPM platforms, is fundamental for success in this position. Your responsibilities will involve managing the OneStream platform, ensuring data quality and troubleshooting issues. You will maintain system reliability and data integrity, manage user access and workflows, and support version control and administration of scenarios. Additionally, you will identify and resolve data variances, load errors, and system issues through collaboration with finance, IT, and accounting teams. You will be tasked with developing, optimizing, and maintaining key reports, dashboards, templates, and workflows in OneStream to meet evolving business needs. Collaboration with Finance and FP&A teams to address ongoing reporting requirements will be essential. Furthermore, you will proactively identify, recommend, and implement system improvements and automation opportunities within OneStream. As part of your role, you will provide functional support and basic training to users across the finance team. It will be crucial to maintain clear system documentation and ensure compliance with audit requirements. To qualify for this role, you should hold a bachelor's degree in finance, accounting, information systems, or a related field. Additionally, having OneStream certification would be advantageous. You are expected to have 5+ years of experience in finance systems support, including Enterprise Performance Management, with at least 2 years of OneStream experience. In terms of technical skills, you should possess a working knowledge of OneStream features such as Cube Views, Workflows, and Dashboards. Experience with data integration between OneStream and ERP systems, managing user security and access control within OneStream, and knowledge of SQL, scripting, or VBA would be beneficial. Familiarity with cloud platforms like AWS, Azure, and data lake architectures is considered a plus. Soft skills are equally important for this role. You should be a self-starter with strong analytical and problem-solving abilities, a clear communicator capable of working with both technical and non-technical stakeholders, and a team player with a proactive and collaborative mindset.,