data quality analyst

Capgemini

<div>
 
 
 Senior Data Quality Analyst &ndash; Capgemini
 
 
 
 
 
 
 
 
 
 
 About Capgemini
 
 
 
 Capgemini is a global leader in consulting, digital transformation, technology, and engineering services. With a presence in over 50 countries and a strong heritage of innovation, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Our collaborative approach and a people-centric work culture have made us a partner of choice for clients across industries.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly skilled Senior Data Quality Analyst with a robust background in designing, implementing, and maintaining data quality frameworks leveraging Python or Collibra. The ideal candidate will be adept at ensuring data accuracy, consistency, completeness, and reliability across large-scale cloud-based platforms, especially within Azure Databricks environments. This role requires expertise in automated data quality assurance, a deep understanding of data governance, and hands-on experience integrating quality controls into modern data pipelines.
 
 
 The Senior Data Quality Analyst will be embedded within an agile squad dedicated to a specific business mission while contributing to a broader program comprising 4 to 8 interconnected squads. Collaboration, technical leadership, and a continuous improvement mindset are essential as you work cross-functionally to elevate the organization&rsquo;s data quality standards.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Development &amp; Integration
 
 
 <ul>
 <li>
 Design, develop, and implement automated data quality checks using Python scripts and libraries or Collibra Data Quality components.
 </li>
 <li>
 Integrate data quality validation logic within existing ETL/ELT pipelines operating on Azure Databricks, ensuring quality gates are consistently enforced across all data flows.
 </li>
 <li>
 Develop and maintain reusable Python modules that perform anomaly detection, schema validation, and rule-based data quality checks to enable rapid scaling of quality coverage.
 </li>
 <li>
 Collaborate with data engineering teams to embed continuous quality controls throughout the data ingestion, transformation, and consumption lifecycle.
 </li>
 <li>
 Support the deployment and management of Collibra-based data quality solutions to automate governance workflows and stewardship activities.
 </li>
 </ul>
 
 
 
 
 2
 
 . Data Quality Management
 
 
 <ul>
 <li>
 Define, measure, and rigorously enforce data quality metrics, thresholds, and Service Level Agreements (SLAs) tailored to business-critical datasets.
 </li>
 <li>
 Utilize Collibra to manage and operationalize data governance workflows, maintain business glossaries, and delineate stewardship responsibilities.
 </li>
 <li>
 Monitor the integrity of data pipelines for completeness, accuracy, timeliness, and consistency across distributed and cloud-native environments.
 </li>
 <li>
 Conduct detailed root cause analyses for complex data quality issues, collaborating with engineers and domain experts to drive permanent remediation and prevention strategies.
 </li>
 <li>
 Implement and continuously refine monitoring frameworks, utilizing dashboards and alerting systems (built using Python and Collibra integrations) for real-time visibility into key data quality indicators.
 </li>
 </ul>
 
 
 
 
 3.
 
 Support &amp; Operations
 
 
 <ul>
 <li>
 Act as a Level 2/3 escalation point for data quality incidents, troubleshooting issues and coordinating with other agile squads and technical teams for rapid resolution.
 </li>
 <li>
 Work closely with product owners, business analysts, and key stakeholders to understand evolving data requirements and ensure quality expectations are aligned and met.
 </li>
 <li>
 Maintain and optimize operational dashboards for ongoing data quality monitoring, leveraging both Python-based and Collibra-integrated solutions.
 </li>
 <li>
 Participate actively in agile ceremonies, including sprint planning, daily standups, reviews, and retrospectives, contributing to squad goals and continuous delivery improvements.
 </li>
 </ul>
 
 
 
 
 4.
 
 Governance &amp; Best Practices
 
 
 <ul>
 <li>
 Establish, document, and evangelize data quality standards, validation frameworks, and best practices across squads and the broader data organization.
 </li>
 <li>
 Maintain comprehensive documentation on validation rules, automated test cases, and quality assurance procedures, ensuring transparency and repeatability.
 </li>
 <li>
 Mentor, coach, and upskill junior data engineers and analysts in data quality concepts, tools, and processes to foster a quality-first culture.
 </li>
 <li>
 Ensure strict compliance with data governance, privacy, and security policies by leveraging Collibra&rsquo;s governance and stewardship frameworks.
 </li>
 <li>
 Continuously assess emerging technologies, tools, and methodologies for potential enhancement of the data quality ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Management, Information Systems, or a closely related field.
 </li>
 <li>
 Years of progressive experience in data quality engineering, data management, or related data roles within complex technology environments.
 </li>
 <li>
 Demonstrable expertise in Python, including the development of reusable data quality and validation libraries.
 </li>
 <li>
 Extensive hands-on experience with Azure Databricks, including cloud-native data processing, ETL/ELT orchestration, and distributed computing concepts.
 </li>
 <li>
 Proficiency with Collibra Data Quality platform or equivalent data governance and stewardship tools.
 </li>
 <li>
 Strong track record working in agile environments, participating in cross-functional teams, and adapting to rapidly evolving project requirements.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications (One or More)
 
 
 <ul>
 <li>
 Databricks Certified Data Engineer Associate or Professional
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Python Institute Certifications (PCAP, PCPP)
 </li>
 <li>
 Collibra Ranger or Collibra Data Quality Steward Certifications
 </li>
 </ul>
 
 
 
 
 
 Key Skills &amp; Competencies
 
 
 <ul>
 <li>
 Deep understanding of data quality frameworks, methodologies, and industry best practices
 </li>
 <li>
 Hands-on experience building automated data quality tests using Python, PySpark, or similar open-source libraries
 </li>
 <li>
 Expertise in designing quality validation steps within ETL/ELT data pipelines for large volumes of structured and semi-structured data
 </li>
 <li>
 Familiarity with cloud data ecosystems, especially Azure and Databricks
 </li>
 <li>
 Proven ability to operationalize and scale data governance using Collibra or comparable tools
 </li>
 <li>
 Experience with dashboarding, data visualization, and monitoring tools for real-time data quality tracking
 </li>
 <li>
 Strong collaboration, leadership, and mentoring abilities within agile squads or matrix teams
 </li>
 <li>
 Knowledge of data privacy, security, and regulatory compliance requirements
 </li>
 <li>
 Ability to drive innovation and continuous improvement in data quality processes
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge data platforms and technologies in a global, multicultural environment
 </li>
 <li>
 Collaborative and agile work culture with empowering career growth opportunities
 </li>
 <li>
 Competitive remuneration, benefits, and professional certification support
 </li>
 <li>
 Access to Capgemini&rsquo;s global learning platforms, mentorship programs, and technology communities
 </li>
 <li>
 Exposure to high-impact projects with Fortune 500 clients
 </li>
 </ul>
</div>

Data Quality Analyst

<div>
 
 
 Role Summary:
 
 
 
 As a Data Quality Consultant, you will play a crucial role in enhancing data quality across our clients' organizations. You will be responsible for implementing data quality frameworks and solutions using tools such as Collibra, IDMC, etc. ensuring data integrity, accuracy, and accessibility. You will collaborate with cross-functional teams to identify data quality gaps and deliver tailored solutions that support our clients&rsquo; business objectives.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Quality Strategy and Implementation:
 
 </li>
 <li>
 Engage with clients to understand their data quality requirements and business goals.
 </li>
 <li>
 Develop and implement data quality frameworks and solutions using tool such as Collibra and IDMC.
 </li>
 <li>
 Provide expert advice on industry best practices and emerging trends in data quality management.
 </li>
 <li>
 
 Tool Expertise:
 
 </li>
 <li>
 Utilize DQ tools such as Collibra, Talend, IDMC, etc. to manage and enhance data quality processes.
 </li>
 <li>
 Configure and customize Collibra workflows and IDMC data management solutions to meet specific client needs.
 </li>
 <li>
 Ensure seamless integration of data quality tools with existing data governance systems.
 </li>
 <li>
 
 Monitoring and Continuous Improvement:
 
 </li>
 <li>
 Establish data quality metrics and KPIs to assess effectiveness and drive continuous improvement.
 </li>
 <li>
 Conduct regular audits and assessments to ensure data quality standards are maintained.
 </li>
 <li>
 Facilitate workshops and training sessions to promote data quality awareness and best practices.
 </li>
 <li>
 
 Collaboration and Leadership:
 
 </li>
 <li>
 Work collaboratively with data architects, data analysts, IT, legal, and compliance teams to integrate data quality into broader data management initiatives.
 </li>
 <li>
 Mentor and guide junior team members, fostering a culture of knowledge sharing and professional growth.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Information Systems, Data Management, Computer Science, or a related field.
 </li>
 <li>
 Proven experience in data quality management, preferably within a consulting environment.
 </li>
 <li>
 Expertise in DQ Tools such as Collibra, Informatica Data Management Cloud (IDMC), etc.
 </li>
 <li>
 Strong understanding of data governance frameworks, tools, and technologies.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to influence stakeholders at all levels.
 </li>
 <li>
 Relevant certifications in Collibra and Informatica are advantageous.
 </li>
 </ul>
 
 
 What We Offer:
 
 
 <ul>
 <li>
 A dynamic and inclusive work environment that values collaboration and innovation.
 </li>
 <li>
 Opportunities for professional development and career advancement.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 The chance to work with industry-leading clients and cutting-edge technologies.
 </li>
 </ul>
</div>

<div>
 
 Job Summary
 
 
 
 <ul>
 <li>
 This role is responsible for collecting, analyzing, interpreting, and presenting data to support decision-making and provide insights to the organization. The role works with large datasets to identify trends, patterns, and correlations, helping businesses make informed choices and optimize their operations. The role utilizes various tools, techniques, and analytical skills to extract meaningful information from data and communicate their findings to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
 </li>
 <li>
 Uses statistical tools and techniques to identify process gaps, root cause issues, and drive data driven decision making.
 </li>
 <li>
 Develops and applies a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights.
 </li>
 <li>
 In accordance with plan and team guidance, performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.
 </li>
 <li>
 Assists the team in performing experiments and validations in accordance with overall plan.
 </li>
 <li>
 Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
 </li>
 <li>
 Assists in preparation of literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
 </li>
 <li>
 Applies foundational principles and contributes proactively to projects through research and data analysis support, providing regular updates on accomplishments and impediments.
 </li>
 <li>
 Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.
 
 
 </li>
 </ul>
 
 
 Education &amp; Experience
 
 Recommended
 
 
 
 <ul>
 <li>
 Four-year Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
 </li>
 <li>
 Typically has 0-2 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 Programming Language/s Certification (SQL, Python, or similar)
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 Agile Methodology
 </li>
 <li>
 Business Intelligence
 </li>
 <li>
 Computer Science
 </li>
 <li>
 Dashboard
 </li>
 <li>
 Data Analysis
 </li>
 <li>
 Data Management
 </li>
 <li>
 Data Modeling
 </li>
 <li>
 Data Quality
 </li>
 <li>
 Data Science
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Data Warehousing
 </li>
 <li>
 Extract Transform Load (ETL)
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Power BI
 </li>
 <li>
 Python (Programming Language)
 </li>
 <li>
 R (Programming Language)
 </li>
 <li>
 SAS (Software)
 </li>
 <li>
 SQL (Programming Language)
 </li>
 <li>
 Statistics
 </li>
 <li>
 Tableau (Business Intelligence Software)
 
 
 </li>
 </ul>
 
 Cross-Org Skills
 
 
 
 <ul>
 <li>
 Effective Communication
 </li>
 <li>
 Results Orientation
 </li>
 <li>
 Learning Agility
 </li>
 <li>
 Digital Fluency
 </li>
 <li>
 Customer Centricity
 
 
 </li>
 </ul>
 
 Impact &amp; Scope
 
 
 
 <ul>
 <li>
 Impacts own work and acts as a team member by providing information, analysis, and recommendations in support of team efforts.
 
 
 </li>
 </ul>
 
 Complexity
 
 
 
 <ul>
 <li>
 Learns to apply basic theories and concepts to work tasks.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 <ul>
 <li>
 This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
 
 
 </li>
 </ul>
 6716
</div>

Citi

<div>JD 1: SIS &ndash; DQM- Data Quality team (C09)
About us:
AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world.
 What do we offer:
DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support:<ul><li>
Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc</li><li>
DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules</li><li>
Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions</li><li>
DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management</li><li>
Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA</li><li>
Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion</li></ul>
Expertise Required:
Analytical Skills
<ul><li>Data analysis and visualization</li><li>
Proficient in formulating analytical methodology, identifying trends and patterns with data</li><li>
Generate actionable Business Insights</li></ul>
(Preferred) -
Tools and Platforms
<ul><li>Good exposure to SAS or SQL</li><li>
Good in MS Excel</li></ul>
Domain Skills
Good understanding of<ul><li>
Data definitions and data discovery</li><li>
Data quality framework</li><li>
Data Governance</li><li>
Data Warehouse Knowledge</li><li>
Data definitions and data discovery</li><li>
Data Catalog , Data Lineage and Data Dictionaries</li></ul>
(Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business
Soft Skills<ul><li>
Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form</li><li>
Should have excellent communication and inter-personal skills</li><li>
Good process management skills</li><li>
Ability to work in teams</li></ul>
Educational and Experience:<ul><li>
MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications</li><li>
(Preferred) Post Graduate in &ndash; Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields</li><li>
1 to 2 years of hands on experience in delivering data quality solutions</li></ul>
-
Job Family Group:
Decision Management
-
Job Family:
Data/Information Management
-
Time Type:
Full time
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Data Quality Analyst -SQL- C09- Chennai

American Express

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Role Description

As a Data Steward Delegate, you are part of a team responsible for supporting activities for the day-to-day compliance with the Enterprise Data Management Operating Policy within your domains/business units. You and your team are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

Primary Responsibilities:
<ul><li>Responsible for supporting the Data Steward in identifying data incidents, performing root-cause-analysis of data incidents and driving remediation of audit and regulatory feedback.</li>
<li>
Develop advanced knowledge on the Enterprise Data Management Operating Policy in order to support the Data Steward in the execution of their role.
</li><li>Responsible for holistic platform data quality monitoring, including but not limited to key reports.</li>
<li>
Assist in the identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams.</li>
<li>
Support the Data Steward in in the establishment, maintenance, and testing of controls to manage data risk within their business unit.</li>
<li>
Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately</li>
<li>
Build advanced platform expertise to influence the identification of critical data elements and contribute to the roadmap to govern the data elements.</li>
<li>
Responsible to partner with the Data Steward in developing and managing the data management roadmap.
</li><li>Collaborate with and influence product managers to ensure all new use cases are managed according to policy.</li></ul> 


Qualifications:
<ul>
<li>For Senior Analyst: 2 - 5 years of experience in data architecture and strategy for Master Data Management (MDM)/Customer Relationship Management (CRM) platform.</li>
<li>
Strong communication skills and ability to influence and engage at multiple levels and cross functionally.</li>
<li>
Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.</li>
<li>
Intermediate competency in SQL &amp; Python or other programming language.</li>
<li>
Prior experience in Finance or Controllership preferred.</li>
<li>
Prior experience with Agile or SAFe project methodologies.</li>
<li>
Bachelor&rsquo;s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.</li>
</ul>
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul>
<li>Competitive base salaries</li>
<li>Bonus incentives</li>
<li>Support for financial-well-being and retirement</li>
<li>Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)</li>
<li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</li>
<li>Generous paid parental leave policies (depending on your location)</li>
<li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</li>
<li>Free and confidential counseling support through our Healthy Minds program</li>
<li>Career development and training opportunities</li>
</ul>
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</div>

Senior Analyst Data Governance & Management

merican Inc

Job Title: Data Governance Analyst Location: AtlantaWork Mode: Hybrid (50%) &ndash; Thursday to Wed office ( Alternate weeks)No of positions: 3JD for Data Governance Analyst:Establish and maintain governance frameworks including policies, standards, and processes to ensure consistent data management and compliance across the organization.<ul><li>Drive data confidence and usability by improving processes related to data quality, access control, and fit-for-purpose definitions, enabling informed business decision-making.</li><li>Collaborate with stakeholders such as Architecture, Privacy, Compliance, Security, and Business Owners to align governance practices with data and business strategies.</li><li>Champion adoption and change management by building executive support, fostering relationships, and ensuring governance practices are effectively implemented and sustained.</li><li>Leverage tools such as data catalogs (e.g., Alation, Collibra, AWS DataZone) to enhance discoverability, metadata management, and data asset governance.</li><li>Demonstrate impact through measurable wins like reducing time to access/use data, enabling repeatable processes, and supporting business objectives through improved governance practices.</li><li>Good to have basic understanding of SQL, experience and knowledge of various DQ dimensions</li></ul>Job Type: ContractExpected hours: 40 per weekAbility to Commute:<ul><li>Atlanta, GA 30354 (Required)</li></ul>Ability to Relocate:<ul><li>Atlanta, GA 30354: Relocate before starting work (Required)</li></ul>Work Location: In person

Data Governance Analyst

Amer Technology, Inc

Working Title: Business Data AnalystTexas Health and Human Services CommissionSolicitation Reference Number: 529601519Title/Level: Systems Analyst 3The primary work location(s) will be at 4601 W Guadalupe Street, Austin, TX 78751. The working position is Hybrid - On Site and TeleworkPosition will be 2 days (Wednesdays and Fridays) remote with 3 days (Mondays, Tuesdays, Thursdays) required to be onsite at the location listed above. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY.Pay rate: $ 90/hr on C2CSkills required : <ul><li>13 years of hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills.</li><li>13 years of Proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions.</li><li>13 years of experience designing and optimizing data workflows and data management processes using modeling or mapping tools.</li><li>10 years of well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams</li><li>13 years of experience creating and maintaining data-related documentation including data dictionaries, business requirement documents, and data mapping specifications.</li><li>13 years of experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines.</li><li>10 years of demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues.</li></ul>Thank You ,Deb - Dibyendu sarkarSenior IT Recruiter\AMER Technology, Inc.(254) 236-5001 Ext 444dsarkar@amersolutions.comwww.amersolutions.com5717 Northwest Parkway Suite 103San Antonio, Texas, 78249Job Type: ContractPay: $80.00 - $90.00 per hourApplication Question(s):<ul><li>13 years of Hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills.</li><li>13 years of experience designing and optimizing data workflows and data management processes using modeling or mapping tools.</li><li>10 years of experience creating and maintaining data-related documentation, including data dictionaries, business requirement documents, and data mapping specifications.</li><li>10 years of experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines.</li><li>10 years of demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues.</li></ul>Location:<ul><li>Austin, TX 78751 (Required)</li></ul>Work Location: In person

Senior Business Data Analyst (onsite role in Austin,TX and need local candidate)

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