senior data quality analyst

Coptic Orphans

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   Sr. Data Analyst
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   Purpose of the Job
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  The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
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   Essential Functions and Responsibilities
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   Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
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   Lead the design, implementation, and deployment of predictive and prescriptive models.
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   Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
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   Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
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   Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
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   Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
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   Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
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   Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
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   Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
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   Provide guidance to junior analysts and contribute to building data literacy across teams.
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   Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
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   Required Education, Experience, Knowledge and Skills
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   Bachelor's degree Data Science, Computer Science, Information Systems Management or a related field.
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   3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
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   Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
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   Demonstrated knowledge of ETL frameworks and data warehousing principles.
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   Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
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   Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
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   Proven ability to design, implement, and deploy predictive and prescriptive models.
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   Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
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   Strong experience with data visualization tools (Power BI, Tableau, or similar).
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   Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
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   Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
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   Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
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   Excellent written and verbal communication skills, with confidence presenting to directors &amp; managers.
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   Ability to translate complex data into clear, actionable insights for diverse audiences.
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   Collaborative mindset and willingness to share knowledge with team members.
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   Proficient in both written and spoken English.
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   Exceptional analytical, problem-solving, and critical-thinking skills.
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   Ability to manage multiple priorities and deliver high-quality work independently.
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   Travel and Working requirements
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   Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
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   Occasional national or international travel may be required.
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   Working out of the official hours and on weekends may be required.
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Sr. Data Analyst

MRO India

<p></p><div><p>We are looking for a <b>Senior Analyst &ndash; Clinical Data Abstraction</b> with hands-on experience in EHR/EMR systems and strong knowledge of medical terminology.</p>
<p><b>
Job Responsibilities:</b></p>
<ul>
<li>Accurately and efficiently abstract medical data from various sources for specified disease areas/ projects</li>
<li>Analyze and interpret complex medical information to provide meaningful insights from EHR/ EMR</li>
<li>Familiarity with Inpatient Medical records/ discharge summary data</li>
<li>Self-report activities like time spent on medical records and audits completed</li>
<li>Participate and contribute to team meetings and learning sessions</li>
<li>Maintain confidentiality and adhere to HIPAA guidelines when handling sensitive information.</li>
<li>Collaborate with team members to achieve project goals and objectives.</li>
<li>Maintain a high level of medical knowledge and expertise of electronic medical record systems</li>
<li>Intermediate proficiency in MS Office Excel</li>
</ul>
<p><b>Quality Assurance:</b></p>
<ul>
<li>Consistently comply with minimum quality levels indicated in the QA plan</li>
<li>Receive feedback from Quality Analyst and ensure timely reconciliation of errors</li>
<li>Participate in quarterly inter-rater reliability assessments</li>
<li>Support quality assurance processes for data integrity</li>
</ul>
<p><b>Qualification:</b></p>
<ul>
<li>Any Life Sciences degree (BDS, MDS, MBBS, BAMS, BHMS, BPharm, Nursing)</li>
<li>Experience: 1-4 years in any Medical Area Abstraction. Oncology/ Cardiovascular domain experience preferred</li>
<li>Basic Anatomy and Physiology Knowledge mandatory</li></ul></div><p></p>

Senior Analyst - Clinical Data Abstraction

Neural IT

<p><b>Experience:</b> 1 Year<br/><b>Shift:</b> Night Shift</p><p><b>Job Overview:</b></p><p>We&rsquo;re looking for a meticulous Quality Analyst to audit back-office processes, map error data, and ensure data accuracy. The role involves creating checklists and logs, performing quality checks, and presenting weekly reports to department heads.</p><p><b>Key Responsibilities:</b></p><ul><li>Audit and evaluate data entry processes for accuracy.</li><li>Identify errors, track patterns, and maintain checklists/logs.</li><li>Perform quality control checks and ensure adherence to standards.</li><li>Compile and present weekly MIS reports to management.</li><li>Suggest process improvements for better data quality.</li></ul><p><b>Requirements:</b></p><ul><li>1 year of experience in data entry or quality assurance.</li><li>Strong Excel skills (formulas, reports).</li><li>Excellent communication skills in English.</li><li>Attention to detail and ability to spot discrepancies.</li><li>Ability to work independently during night shift hours.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;20,000.00 - &#8377;25,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Quality Analyst (Data-entry)

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Senior Analyst, Data Quality Programs-3<p></p>
The Enterprise Data Quality (EDQ) team within the AI and Data Office is responsible for developing Mastercard&rsquo;s data quality program and driving data quality improvements. We ensure data is of the highest quality and is fit-for-purpose to support business and analytic uses. Our team designs controls and solutions that help protect the integrity of the network. We collaborate with regional and global product teams, as well as Services Technology, to identify and prioritize data quality investments throughout the lifecycle of our business. This includes working with standards governing bodies such as ISO to define effective data formats and other standards. Additionally, the team works with tech and product to identify, plan mitigations and remediate all manner of data quality issues. The team is also responsible for the management of key data assets and capabilities supporting DQ, such as our merchant location and company master data, and the Enterprise Data Quality tooling used to profile and monitor data. Finally the team works to launch data quality programs that enforce data quality of data coming into the ecosystem.<br>
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Role<br>
As a Senior Analyst, Data Quality Programs you will:<br>
Program Leadership and Planning<br>
<ul><li>Act as a business owner for data quality collection and improvement program investments.
</li><li>Execute a strategy to effectively maximize our programs to have the greatest impact on data quality.</li><li>Define and track program KPIs, using data-driven insights to inform continuous improvement and executive reporting.</li><li>Be a member of a high-performing team focused on operational excellence, and data quality improvement.</li><li>Develop project plans and lead delivery of moderately sized projects across a matrixed team.</li><li>Identify issues, risks, and dependencies and develop mitigation plans</li></ul><br>
Program Governance<br>
<ul><li>Collaborate with cross-functional teams including Product, Services Tech, and Data Strategy to define platform requirements and success metrics.
</li><li>Partner with technology, internal audit and compliance teams to ensure platforms meet regulatory and security requirements.
</li><li>Manage associated revenue and expenses to most effectively realize the business objective of improved data quality.</li></ul>
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Communication and Alignment<br>
<ul><li>Work closely with customer teams to assist them in understanding requirements and maintaining compliance.</li><li>Provide second level support for customers.</li><li>Assist in the definition of operational processes.</li><li>Develop project plans and lead delivery of moderately sized projects across a matrixed team.</li><li>Identify issues, risks, and dependencies and develop mitigation plans.</li><li>Run queries and create reports to identify issues and opportunities, and determine the impacts of our investments.</li></ul><br>
All About You<br>
<ul><li>Organizational skills and project management: Proven ability to manage and successfully deliver projects in a matrix environment with multiple and competing priorities, structure and manage work streams, and set clear expectations and deadlines</li><li>Accountability: Demonstrated ability to operate with independence and autonomy and with a strong attention to detail and quality
</li><li>Communication and Influencing skills: Excellent influencing, interpersonal, and communication skills, with demonstrated ability to communicate to executives, peers, and staff with impact, eloquence, and authenticity</li><li>Analytic mindset: analytical and strong problem-solving skills, using a fact-driven approach to program management, ability to interpret and synthesize data, pressure test and validate hypothesis, and challenge the status quo</li><li>Technical judgement: Ability to understand the reasons behind architectural decisions and to use technical judgment to challenge and validate assumptions, enlisting engineering support to vet architecture as required</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Senior Analyst, Data Quality Programs-3

ProArch

<div><ul><li>Provide technical support to team members facing data-related issues
</li><li>Recommend ways to improve data reliability, efficiency, and quality
</li><li>Conduct data cleaning to rid the system of old, unused, or duplicate data
</li><li>Analyze and validate data for accuracy, consistency, and integrity
</li><li>Identify, assess, and resolve issues related to data quality
</li><li>Develop and implement data quality standards and processes
</li><li>Generate data reports and presentations for management
</li><li>Collaborate with IT and data management teams to design and implement data strategies and models
</li><li>Use statistical tools and software to interpret and analyze data
</li></ul><p>Monitor and update data dictionaries and metadata to ensure data consistency</p><p><b>
Requirements</b></p><ul><li>Proven work experience as a Data Quality Analyst or Data Analyst.
</li><li>Technical expertise regarding data models, database design development, data mining and segmentation techniques.
</li><li>Strong knowledge of an experience with reporting packages (Business Objects), database (SQL), programming (Python, XML, JavaScript, ETL), and Data warehousing platforms tools (Snowflake).
</li><li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
</li></ul><p>Adept at queries, reporting writing and presentation findings.</p></div>

Sr. Data Quality Analyst

Texas Comptroller of Public Accounts

<div><div><b>Data Quality Analyst (Data Analyst IV)</b> <b>(</b><b>00053695</b><b>)</b><div>
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Organization</b><b>:</b> TEXAS EDUCATION AGENCY<div>
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Primary Location</b><b>:</b> Texas-Austin<div>
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Work Locations</b><b>:</b> Texas Education Agency 1701 NORTH CONGRESS AVENUE Austin 78701<div></div><div><br>
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Job</b><b>:</b> Computer and Mathematical<div>
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Employee Status</b><b>:</b> Regular<div>
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Schedule</b><b>:</b> Full-time<div>
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Standard Hours Per Week</b><b>:</b> 40.00<div>
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Travel</b><b>:</b> Yes, 5 % of the Time<div>
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State Job Code</b><b>:</b> 0653<div>
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Salary Admin Plan</b><b>:</b> B<div>
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Grade</b><b>:</b> 24<div>
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Salary (Pay Basis)</b><b>:</b> 6,916.00 - 7,155.75 (Monthly)<div>
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Number of Openings</b><b>:</b> 1<div>
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Overtime Status</b><b>:</b> Exempt<div>
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Job Posting</b><b>:</b> Oct 24, 2025, 3:37:53 PM<div>
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Closing Date</b>: Ongoing<div>
</div></div><div><b>
Description</b><div></div><div><b><br>
MISSION: </b>The Texas Education Agency (TEA) will improve outcomes for all public-school students in the state by providing leadership, guidance, and support to school systems.<br>
<br>
<b>Core Values:</b><br>
<ul><li><b>We are Determined:</b> We are committed and intentional in the pursuit of our main purpose, to improve outcomes for students.</li><li><b>We are People-Centered: </b>We strive to attract, develop, and retain the most committed talent, representing the diversity of Texas, each contributing to our common vision for students.</li><li><b>We are Learners: </b>We seek evidence, reflect on success and failure, and try new approaches in the pursuit of excellence for our students.</li><li><b>We are Servant Leaders:</b> Above all else, we are public servants working to improve opportunities for students and provide support to those who serve them.</li></ul></div><p><b>
New hires, re-hires, and internal hires will typically receive a starting salary between the posted minimum and the average pay of employees in their same classification. Offers will be commensurate with the candidate&rsquo;s experience and qualifications and will thoughtfully consider internal pay equity for agency staff who perform similar duties and have similar qualifications. The top half of the posted salary range is generally reserved for candidates who exceed the requirements and qualifications for the role. The maximum salary range is reserved for candidates that far exceed the required and preferred qualifications for the role.</b></p><p><b>
About the Office of IT</b></p><p>
The Office of Information Technology works closely with all agency divisions to implement innovative technology solutions in a cost-efficient manner that supports the goals and priorities of the Texas Education Agency. The Office of IT provides efficient technology solutions and stellar customer services to internal staff, 20 Educational Service Centers, and 1,200-plus public-school districts and charter schools. The following services are provided by IT: leadership on IT initiatives; guidance on security/policy issues; new application development/enhancements; software acquisition; technical support; assistance with technical sections of purchasing documents such as Request for Information (RFI), Request for Offers (RFO), Request for Proposals (RFP); and oversight on the data collection process which helps to support and improve outcomes for all of Texas&rsquo; 5 million-plus students.</p><p><b>
Position Overview</b></p><p>
The Data Quality Analyst performs highly complex (senior-level) computer systems analysis and data quality assurance tasks associated with the Texas Student Data System (TSDS) application and its relational repositories through development and maintenance of test plans and execution of test cases using various application tools to analyze and validate data. This position is responsible for analyzing, creating, and maintaining TSDS data views and data documentation, ad hoc programming requests, and providing customer support to the TEA data user community. Works under minimal supervision, with considerable latitude for the use of initiative and independent judgment.</p><p>
This role may occasionally require working outside standard business hours to support key responsibilities and ensure timely completion of tasks.</p><p><b>
Flexible work location within the state of Texas may be considered for qualified candidates.</b></p><p><b>
Please note that a resume is a required attachment for applying to this position. Incomplete applications will not be considered. Applicants who are strongly being considered for employment must submit to a national criminal history background check.</b></p><p><b>
Essential Functions</b><br>
<i>Job duties are not limited to the essential functions mentioned below. You may perform other functions as assigned.</i></p><p><b>
1. Data Quality:</b> Develop, maintain, and execute test plans to analyze and validate data integrity for all Texas Student Data System (TSDS) data collections based on evolving Texas Education Data Standards (TEDS) and TSDS data models as well as continuously improved programming skills. Evaluate any data anomalies, devise solutions when necessary, track and document related issues, and succinctly and thoroughly convey all issues and findings to the Data Standards, Data Quality and Governance Manager and other Data Standards, Data Quality, and Business Analysis Division staff as appropriate.</p><p><b>
2. Code Reference Tables: </b>Maintain and update Texas Student Data System (TSDS) code reference tables based on annual changes to Texas Education Data Standards (TEDS).</p><p><b>
3. TSDS Data Views:</b> Create data views through development and maintenance of Data Definition Language (SQL|DDL) scripts updated annually according to revisions to Texas Education Data Standards (TEDS) and to Texas Student Data System (TSDS) data models. Coordinate implementation with Database Administration personnel.</p><p><b>
4. TSDS Data Documentation:</b> Develop and maintain Texas Student Data System (TSDS) data documentation for all collections based on annual changes to Texas Education Data Standards (TEDS) as well as the corresponding SharePoint documentation library site available to customers. Provide technical support as a high-level resource for problem resolution, including reported data anomalies, to TEA TSDS data user community while following established Data Standards, Data Quality, and Business Analysis Division guidelines.</p><p><b>
5. Ad Hoc Reporting and Analysis:</b> Produce ad hoc reports and special data analyses as required by the Data Standards, Data Quality, and Business Analysis Division.</p><div><br>
</div></div><div><b>
Qualifications</b><div></div><div><b><br>
Minimum Qualifications</b><br>
<ul><li><b>Education: </b>Graduation from an accredited four-year college or university</li><li><b>Experience: </b>At least three (3) years of experience in computer systems analysis or design.</li><li><b>Substitutions: </b>Each additional year of related experience above the required minimum may substitute for education on a year-for-year basis.</li></ul></div><div><b><br>
Other Qualifications</b><br>
<ul><li>Share the belief that all Texas students can achieve at high levels and are able to succeed in college, career, or the military</li><li>Desire to self-reflect, give and receive feedback, and continuously improve. Knowledge of relational database structures and access methods.</li><li>Experience in quality assurance test planning, systems analysis, and design work is preferred.</li><li>Skill in SAS and SQL programming languages and data analysis techniques, including analyzing data for compliance with business rules.</li><li>Demonstrated ability to build and sustain positive working relationships across diverse teams and stakeholders.</li><li>Demonstrated ability to effectively prioritize and manage multiple concurrent tasks, deliver innovative solutions, and consistently meet deadlines while maintaining a collaborative, composed, and upbeat approach</li><li>Skilled in analyzing information with logical precision and maintaining a high level of attention to detail.</li><li>Demonstrated ability to effectively prioritize and manage multiple concurrent tasks, deliver innovative solutions, and consistently meet deadlines while maintaining a collaborative, composed, and upbeat approach.</li><li>Ability to analyze technical documentation.</li><li>Ability to express ideas clearly, both verbally and in writing.</li></ul></div><p><i>
As an equal opportunity employer, we hire without consideration to race, religion, color, national origin, sex, disability, age or veteran status, unless an applicant is entitled to the military employment preference.</i></p><p><i>
To review the Military Occupational Specialty (MOS) codes from each branch of the U.S. Armed Forces to each job classification series in the State&rsquo;s Position Classification Plan (provided by the State Auditor's Office), please access the </i><i>Military Crosswalk (occupational specialty code) Guide</i><i> and click on the military &ldquo;occupational category&rdquo; that corresponds with the state classification in this job posting title.</i></p><p><i>
This position requires the applicant to meet Agency standards and criteria which may include passing a pre-employment criminal background check, prior to being offered employment by the Agency.</i></p><p><b><i>
No phone calls or emails, please. Due to the high volume of applications, we do not accept telephone calls and cannot reply to all email inquiries. Only candidates selected for interview will be contacted. Please add &quot;capps.recruiting@cpa.texas.gov&quot; and &quot;@tea.texas.gov&quot; to your safe senders list to ensure you receive email notifications from our talent acquisition team and/or hiring division regarding your candidacy.</i></b></p></div></div>

Data Quality Analyst (Data Analyst IV)

Web Applications & Data Integration Company

<p><b>Job Title:</b> Senior Data Scientist &ndash; ELK Stack &amp; Analytics<br/><b>Location:</b> College Road, Township, Lahore<br/><b>Job Type:</b> Full-Time<br/><b>Working Hours:</b> 9:00 PM &ndash; 6:00 AM PKT<br/><b>Department:</b> Data &amp; Analytics<br/><b>Reports To:</b> Data Analytics Manager</p><p><b>Job Overview: </b>We are seeking a <b>Senior Data Scientist</b> with deep expertise in the <b>ELK Stack (Elasticsearch, Logstash, Kibana)</b>, <b>MySQL query optimization</b>, and <b>big data analysis</b>. This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You&rsquo;ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.<b>Key Responsibilities:</b></p><ul><li>Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.</li><li>Design and manage robust data pipelines using <b>Logstash</b> and other ETL tools to feed into <b>Elasticsearch</b>.</li><li>Build and maintain <b>Kibana dashboards</b> for real-time visualization and analytics.</li><li>Analyze large-scale datasets to identify trends, anomalies, and actionable insights.</li><li>Write and optimize <b>complex MySQL queries</b> to support deep-dive analysis and reporting needs.</li><li>Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.</li><li>Support development of machine learning models or predictive analytics where applicable.</li><li>Document processes, pipelines, and findings for knowledge sharing and reproducibility.</li><li>Mentor junior team members and contribute to data governance and quality initiatives.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related discipline.</li><li>Minimum <b>4 years</b> of experience in data science, analytics, or a similar technical role.</li><li>Proven experience working with the <b>ELK Stack (Elasticsearch, Logstash, Kibana)</b> in a production environment.</li><li>Advanced proficiency in <b>SQL</b>, especially with <b>MySQL optimization</b> for large and complex queries.</li><li>Experience in <b>Python</b> or <b>R</b> for data analysis and scripting.</li><li>Strong foundation in <b>data modeling</b>, <b>ETL pipelines</b>, and <b>data warehousing</b>.</li><li>Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Experience with <b>big data technologies</b> (e.g., Apache Spark, Hadoop).</li><li>Familiarity with cloud platforms like <b>AWS</b>, especially their data and log services is preferred</li><li>Knowledge of <b>machine learning</b>, <b>predictive modeling</b></li><li>Domain experience in <b>finance</b>, <b>healthcare</b>, <b>e-commerce</b>, or <b>SaaS</b> environments is preferred but not required</li></ul><p><b>Ready to lead cutting-edge analytics and log intelligence?</b> Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence.</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This is night time position 9pm to 6am. Are you willing to proceed?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Data Analyst: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Senior Data Analyst - BI Experience is MUST

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