technical data analyst

Visa

<div><b>Company Description</b><p><br>
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.</p><p>
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.</p><b><br>
Job Description</b><p><br>
Visa&rsquo;s Global Data &amp; Platform Services team is seeking a Product Analyst to support the strategy, development, and optimization of Visa&rsquo;s Data Production capabilities, including data processing pipelines and real-time data streaming platforms. This role is critical in enabling analytics, AI ML, real&#8209;time decisioning, and enterprise data initiatives across Visa.</p><p>
As a Product Analyst, you will work closely with product managers, engineering teams, data scientists, business stakeholders, and governance partners to gather requirements, analyze data, track product performance, and ensure our data platforms meet business needs. You will support roadmap planning, user adoption, feature validation, and operational improvements.</p><p>
This role is ideal for someone who is highly analytical, detail-oriented, and passionate about data products and large&#8209;scale platforms.</p><p>
Essential Functions</p><p>
Product Analysis &amp; Requirements</p><ul><li>
Partner with product managers to translate business needs into detailed requirements, user stories, and acceptance criteria.</li><li>
Analyze user needs, platform gaps, and data requirements to support enhancements to data pipelines and streaming services.</li><li>
Conduct impact assessments for new features, data dependencies, and system changes.</li><li>
Support backlog refinement by identifying priority items from customer feedback, issue logs, and business impact.</li></ul><p>
Cross&#8209;Functional Collaboration</p><ul><li>
Work with engineering teams to clarify requirements, participate in grooming sessions, and support feature validation.</li><li>
Engage stakeholders across data science, business intelligence, governance, and regional teams to gather feedback and understand localized needs.</li><li>
Assist in preparing product documentation, release notes, presentations, and user communication.</li></ul><p>
Operational Support &amp; Continuous Improvement</p><ul><li>
Support user onboarding, training materials, and process documentation for Data Production platforms.</li><li>
Monitor issues, identify root causes, and partner with engineering for resolution.</li><li>
Assist in evaluating new tools, technologies, or design improvements that enhance data processing efficiency or reliability.</li></ul><p>
Compliance &amp; Governance</p><ul><li>
Ensure that data product requirements align with Visa&rsquo;s privacy, security, and data governance standards.</li><li>
Support audits, compliance reviews, and documentation needed for internal controls.</li></ul><p>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.<br>
</p><br>
<br>
<b>Qualifications</b><p><br>
Basic Qualifications:<br>
3 or more years of work experience with a Bachelor&rsquo;s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)<br>
<br>
Preferred Qualifications:<br>
4 or more years of work experience with a Bachelor&rsquo;s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)<br>
3 years of work experience with a Bachelor&rsquo;s Degree, or<br>
An Advanced Degree (e.g., Masters, MBA, JD, MD) with 0 years of experience, or<br>
3&ndash;5 years of experience as a Product Analyst, Data Analyst, Business Analyst, or related role.<br>
Experience working with data engineering concepts, data pipelines, streaming technologies, or large-scale data platforms.<br>
Strong analytical skills with proficiency in SQL and experience with data warehouses, databases, or big data tools.<br>
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and analytics tools (e.g., Tableau, Looker, Power BI).<br>
Experience working in Agile Scrum environments, writing user stories, and supporting iteration planning.<br>
Excellent communication and documentation skills with the ability to translate technical information for business stakeholders.<br>
Strong problem solving abilities, attention to detail, and comfort working with cross-functional teams.<br>
Knowledge of payments, financial services, or data governance concepts is a plus.<br>
Advanced degree in a technical or analytical field is desirable.</p><b><br>
Additional Information</b><p><br>
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</p></div>

Product Analyst, Data Production

Premier Enterprise Solutions

<div><p><b>Data Analyst/Technical Program Consultant III</b></p><p><b>
Education: </b>Bachelor's degree in data Analytics or similar field required.
</p><p><b>Required Skills:</b></p><ul><li>
Minimum of 6 years of experience in data visualization, statistical analysis, machine learning, and other advanced data analytics tools to extract meaningful insights from complex datasets.</li><li>
Experience with data analytic tools (Python, R, VBA, Java, etc.), machine learning (ML) and natural language processing (NLP) tools is preferred</li><li>
Due to the sensitive nature of military technology data, the analyst must have experience adhering to strict security protocols and data handling procedures</li></ul><p>
Clearance: TS/SCI Clearance Required.</p><p>
Premier Enterprise Solutions is an equal opportunity employer committed to a merit-based workplace where employment decisions are made solely on qualifications, experience, and the ability to perform essential job functions. All hiring, training, promotion, compensation, and other employment decisions are conducted in compliance with applicable federal, state, and local laws governing equal employment opportunity. Premier upholds a workplace environment that is professional, inclusive, and based on individual merit and performance.</p></div>

Data Analyst/Technical Program Consultant III

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>Role:</b> <b>Test Data analyst</b></p>
<p><b>Location: Chennai (ready to work in morning - afternoon shifts)</b></p>
<p><b>Band : BPO 3/4/5</b></p>
<p> <b>Must have:</b></p>
<div> <ul><li>Hands on experience of at least 5 years of working as a Test Data Analyst in Banking &amp; Financial Services Testing projects</li></ul>
<ul><li>Experience in SQL/Database skills for data extraction and manipulation</li></ul>
<ul><li>Understanding of the Cards domain (Credit / Debit Cards and its various types and the Transaction lifecycle)</li></ul>
<ul><li>Knowledge of ETL processes and data masking techniques</li></ul>
<ul><li>Ability to analyze and troubleshoot data issues across multiple systems.</li></ul>
<ul><li>Excellent communication and stakeholder management skills.</li></ul></div><br>
<p>
</p><p><b>Good-to-Have Skills:</b></p><br>
<p></p>
<div> <ul><li>Experience in Cards migration or platform modernization projects.</li></ul>
<ul><li>Basic scripting for automation (Python, Shell).</li></ul></div><br>
<p>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Chennai</div>
</div><div><div><b>Job Function</b></div>
<div>BUSINESS PROCESS SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Process Expert</div>
</div><div><div><b>Job Id</b></div>
<div>384096</div>
</div><div><div><b>Desired Skills</b></div>
<div>Manual Testing | Data Analyst</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Test Data Analyst

International Turnkey Systems - ITS

<div>
 <p>
  We are looking for a Finance Data Engineering Analyst with an experience in the Intersection of Finance and Data Engineering, data warehouses, finance business logic and reporting, preferably banking sector. Hands on experience of working on data related projects and business partnering.
 </p>
 <p>
  The Finance Data Engineering Analyst will support the finance team on data and analytics activities and Data warehouse (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
  </li>
  <li>
   Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
  </li>
  <li>
   Mastering the Intersection of Finance, Data Analysis and Data Engineering.
  </li>
  <li>
   Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
  </li>
  <li>
   Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
  </li>
  <li>
   Ensuring the consistency of the data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
  </li>
  <li>
   Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
  </li>
  <li>
   Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
  </li>
  <li>
   SAS skillset, with Strong Experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets &amp; Library
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirement:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, or a related field.
  </li>
  <li>
   5+ years' experience in Data Engineering and Data warehouse
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Analytical/Technical Skills
   </u>
  </strong>
  <u>
   :
  </u>
 </p>
 <p>
  a) Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
 </p>
 <p>
  b) Hands-on experience on MS Excel
 </p>
 <p>
  c) Prior project management/stakeholder management is desired
 </p>
 <p>
 </p>
</div>


Data Engineer (Finance)

Relevance Lab

<div><h1 class="jobSectionHeader"><b>Senior Data Analyst (AWS &amp; Quicksight) &ndash; Contractor</b></h1>
<h2 class="jobSectionHeader"><b>Overview</b></h2>
<p>We&rsquo;re seeking a highly skilled Senior Data Analyst to support analytics and reporting for our AI and Generative AI solutions team. This role is ideal for someone who is technically strong, detail-oriented, proactive, and thrives in a fast-paced environment where data quality, accuracy, and independence matter.</p>
<p>You will be responsible for defining, validating, and delivering data requirements that enable the creation of usage and performance dashboards in Amazon Quicksight, using data stored across AWS Aurora, DynamoDB, and Athena. You should be comfortable navigating data architectures, identifying the right fields and tables, and collaborating with engineers to ensure end-to-end data integrity&mdash;without needing step-by-step direction.</p>
<p>This is a remote, full-time contract role (9am&ndash;5pm EDT).</p>
<h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
<ul><li>Translate business and analytics needs into clear, structured requirements documents for Quicksight dashboards and reports.</li>
<li>Independently identify source data tables, fields, and relationships across Aurora, DynamoDB, and Athena.</li>
<li>Write, optimize, and validate queries to extract and transform data for analysis.</li>
<li>Perform data validation and QA to ensure accuracy, completeness, and consistency across multiple data sources.</li>
<li>Collaborate with product managers, engineers, and AI platform teams to define meaningful KPIs and metrics related to usage, adoption, and performance.</li>
<li>Develop robust documentation and data dictionaries for reproducibility and handoff.</li>
<li>Provide timely status updates, participate in daily standups, and meet project deadlines with minimal oversight.</li>
<li>Contribute insights on data trends, patterns, and anomalies for continuous improvement of our AI/agentic systems reporting.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications and Experience</b></h2>
<ul><li>5+ years of hands-on data analytics experience, with demonstrated ability to work independently on data discovery and requirements definition.</li>
<li>Experience creating compelling and easy-to-understand dashboards for data visualization.</li>
<li>Expert-level SQL and experience querying AWS Aurora, DynamoDB, and Athena.</li>
<li>Work with complex data models, including creating joins, foreign keys, and parent-child relationships in SQL databases</li>
<li>Collaborate with developers to request necessary database views or modifications to support custom reporting needs</li>
<li>Support business users through self-service analytics using AWS including user management and troubleshooting login and access issues.</li>
<li>Proven experience designing or supporting dashboards in Amazon Quicksight (or similar BI tools).</li>
<li>Strong understanding of data validation, QA, and troubleshooting techniques.</li>
<li>Ability to interpret business goals into technical data requirements with precision.</li>
<li>Excellent documentation and communication skills; able to provide crisp updates and proactive issue escalation.</li>
<li>Experience working in AI, machine learning, or digital product analytics environments preferred.</li>
<li>Comfortable working across time zones and managing multiple priorities under tight deadlines.</li>
</ul><h2 class="jobSectionHeader"><b>Work Environment</b></h2>
<ul><li>Remote (must be available 9am&ndash;5pm Eastern Time)</li>
<li>Contractor role (3&ndash;6 months with potential extension)</li>
<li>Collaborative, agile, and high-performing AI product environment</li></ul></div>

Product Data Analyst

Hotwire Asia Pacific

<div>
 <p>
  <strong>
   Who we are
  </strong>
 </p>
 <p>
  <span>
   Hotwire delivers cutting-edge marketing solutions exclusively for technology and telecom companies across the globe. We&rsquo;re seeking a curious and data-driven individual to join our dynamic team as a&nbsp;
  </span>
  <strong>
   Data &amp; Analytics Analyst
  </strong>
  <span>
   . In this role, you&rsquo;ll help uncover actionable insights that drive business value and support strategic decision-making for our growing client base.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  <span>
   Hotwire Global is seeking a Data &amp; Analytics Analyst to play a key role in contributing to and developing the fastest-growing area of our global business. As part of our data and analytics practice, the analyst will execute reporting and data visualization projects to support the global team deliver actionable insights and demonstrate the impact of our client work.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you will do
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Execute digital, media and audience analysis, and measurement assignments with limited supervision
   </span>
  </li>
 </ul>
 <p>
  &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
  <span>
   Think strategically and have the ability to tell a story with data
  </span>
 </p>
 <ul>
  <li>
   <span>
    Develop measurement dashboards, reports and presentations, for use across our client portfolio
   </span>
  </li>
  <li>
   <span>
    Monitor and report on key performance metrics, identifying trends and providing insights that offer opportunities to improve marketing and communications strategies and campaigns
   </span>
  </li>
  <li>
   <span>
    Partner with a variety of stakeholders within the agency, primarily located within Europe and the US, to deliver comprehensive, accurate reports, data-driven insights, and drive strategic business implications that push our clients to think differently and deliver strong results
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Experience and Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <span>
    5+ years&rsquo; experience in digital and media measurement and analytics. Agency experience preferred
   </span>
  </li>
  <li>
   <span>
    An expert at working with and creating dashboards that integrate multiple data sources to tell stories and effectively demonstrate the impact of programs back to clients
   </span>
  </li>
  <li>
   <span>
    Highly familiar with performance marketing metrics and conversion data across Paid, Earned, Social and owned media
   </span>
  </li>
  <li>
   <span>
    Expertise in using business intelligence tools including Looker Studio, Tableau, Cision, Google Analytics and others
   </span>
  </li>
  <li>
   <span>
    Experience working with cross-functional global teams
   </span>
  </li>
  <li>
   <span>
    Time management skills and the ability to juggle multiple deliverables and timelines at once
   </span>
  </li>
  <li>
   <span>
    Must be able to quickly learn new tools and databases
   </span>
  </li>
  <li>
   <span>
    Skilled data storyteller, able to make the complex simple to understand and provide actionable insights
   </span>
  </li>
  <li>
   <span>
    Track record of working across multiple projects and successfully promoting the impact and value of measurement and analytics
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Analyst, Data & Analytics

MINDPICKED

<div>
 <p>
  MINDPICKED is a new generation recruitment firm providing companies solutions in their search for talent, and talents opportunities who wants to reach their potential.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We specialize in middle and senior management recruitment in various sectors and countless job functions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a
  <strong>
   Data Analyst Specialist
  </strong>
  for our client. Our client is a leading global marketing and communications group with a strong creative and digital footprint across multiple markets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's degree in Statistics, Data Science, Computer Science, Engineering, or a related field,
  </li>
  <li>
   Strong experience with Google Analytics and Adobe Analytics,
  </li>
  <li>
   Familiarity with Google Tag Manager and tracking implementation best practices,
  </li>
  <li>
   Hands-on expertise in data modeling, statistical analysis, and regression techniques,
  </li>
  <li>
   Proficiency in SQL, data querying, and data transformation,
  </li>
  <li>
   Strong understanding of media measurement, attribution models, and ad performance analysis (Google &amp; Meta),
  </li>
  <li>
   Experience with data visualization tools: Power BI and Looker Studio (mandatory),
  </li>
  <li>
   Ability to interpret, structure, and visualize complex datasets for non-technical stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and maintain dashboards and performance reports using Power BI and Looker Studio,
  </li>
  <li>
   Analyze large datasets to identify trends, patterns, and optimization opportunities across digital channels,
  </li>
  <li>
   Conduct regression analyses, statistical modeling, and data forecasting to support business decisions,
  </li>
  <li>
   Lead measurement and attribution processes for Meta Ads, Google Ads, and other performance media platforms,
  </li>
  <li>
   Utilize Google Analytics, Adobe Analytics, and related tools to track customer behavior and marketing effectiveness,
  </li>
  <li>
   Collaborate with data engineering teams to ensure data pipelines, structures, and tracking frameworks operate smoothly,
  </li>
  <li>
   Present insights to stakeholders in a clear, data-driven, and visually compelling manner.
  </li>
 </ul>
</div>


Data Analyst Specialist

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