data operations analyst

NielsenIQ

<div><b>Job Description</b><p><b><br>
Company Overview</b></p><p>
NielsenIQ is a global leader in consumer intelligence, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.</p><p></p><p><b><br>
Role Summary</b></p><p>
The Senior Data Operations Analyst (Level 3) is responsible for executing and monitoring day-to-day production cycles with strict adherence to quality standards and delivery timelines. This role plays a critical part in ensuring data accuracy, resolving issues, supporting process improvements, and enabling automation initiatives within NielsenIQ&rsquo;s Consumer Information Platform (CIP).</p><p>
The position requires strong analytical skills, attention to detail, and effective collaboration across global, cross-functional teams.</p><p></p><p><b><br>
Key Responsibilities</b></p><ul><li><p>
Execute daily and periodic production cycles in line with defined quality, accuracy, and turnaround time (TAT) standards</p></li><li><p>
Perform data input operations and validation across assigned markets and datasets</p></li><li><p>
Identify data anomalies, perform root cause analysis (RCA), and communicate issues to relevant stakeholders</p></li><li><p>
Collaborate effectively with onshore, offshore, and cross-functional teams to resolve operational challenges</p></li><li><p>
Adhere to and contribute to the documentation and maintenance of Standard Operating Procedures (SOPs)</p></li><li><p>
Identify opportunities for automation, optimization, and process efficiency improvements</p></li><li><p>
Develop and execute basic automation solutions using SQL, R, Python, or Excel macros</p></li><li><p>
Support CIP deployments, system enhancements, and adoption of new tools and features</p></li><li><p>
Track, analyze, and report key performance indicators (KPIs) related to data quality, accuracy, and on-time delivery</p></li><li><p>
Operate efficiently in a virtual, multicultural, and geographically distributed work environment</p></li></ul><p></p><p><b><br>
Required Qualifications</b></p><ul><li><p>
Minimum 18 months of experience in data operations, analytics, or related operational roles</p></li><li><p>
Bachelor&rsquo;s degree in Mathematics, Statistics, Economics, Commerce, BBA, or a related field</p></li><li><p>
Strong analytical thinking and problem-solving capabilities</p></li><li><p>
Working proficiency in written and spoken English</p></li><li><p>
Hands-on exposure to SQL, R, Python, and working with large datasets; basic awareness of ML/AI concepts</p></li><li><p>
Understanding of operational KPIs, quality metrics, and process adherence</p></li><li><p>
Strong organizational, communication, and presentation skills</p></li></ul><p></p><b><br>
Additional Information</b><div></div><p><b><br>
Our Benefits</b></p><ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul><p>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.</p><br>
<p></p>
<p><b>
About NIQ</b></p><p>
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.</p><p>
For more information, visit NIQ.com</p><p>
Want to keep up with our latest updates?</p><p>
Follow us on: LinkedIn | Instagram | Twitter | Facebook</p>
<p><b>
Our commitment to Diversity, Equity, and Inclusion</b></p><p>
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</p></div>

Sr. Data Operations Analyst

RUSSELL INVESTMENTS

<div><div>Business Unit:</div><div><br>
Job Description:</div><div>
Sales Data Operations Sr Analyst</div><div></div><div>
Every day, we work to strengthen the financial security of our clients and investors. Joining our organization means becoming part of a dedicated team that values discipline, accountability, and the meaningful impact of our work.</div><ul><li>
As a Senior Sales Data Operations Analyst, you will play a key role in sourcing, validating, and enriching sales and asset data across multiple external providers in support of our U.S. and Canadian retail businesses.</li><li>
This role offers strong exposure across Sales, Finance, Product, and Distribution teams and provides an opportunity to deepen technical expertise while contributing to enterprise-level data initiatives. The ideal candidate is intellectually curious, detail-oriented, and motivated to grow into broader responsibilities over time.</li><li>
This is a senior individual contributor role with meaningful ownership, visibility, and opportunity to expand scope through partnership and impact.</li></ul><div></div><div>
Core Responsibilities</div><ul><li>
Support day-to-day engagement with external data providers (e.g., SS&amp;C SalesConnect, Broadridge), including monitoring data delivery and validating configuration settings and business rules.</li><li>
Perform reconciliations against books of record to ensure accuracy across mutual funds, ETFs, and managed account platforms.</li><li>
Investigate data discrepancies, perform root-cause analysis, and document findings and resolutions.</li><li>
Maintain data quality controls throughout the acquisition and aggregation lifecycle.</li><li>
Partner closely with Sales Operations, Finance, Distribution, and Product teams to understand business needs and support reliable reporting solutions.</li><li>
Assist in the integration of new data sources into existing reporting and analytics frameworks.</li><li>
Produce recurring and ad hoc reporting to support sales insight, asset visibility, and decision-making.</li><li>
Document operational processes, standard procedures, and exception workflows.</li><li>
Support reallocations, territory updates, and data corrections in alignment with established governance processes.</li><li>
Identify opportunities for process improvement and automation to reduce manual effort and increase data transparency.</li><li>
Serve as a knowledgeable point of contact for questions related to sales data, reporting logic, and downstream impacts.</li></ul><div></div><div>
Qualifications</div><ul><li>
5+ years of experience in asset management operations, sales operations, data operations, or a related financial services role.</li><li>
Working knowledge of:<ul><li>
Mutual fund and ETF operations</li><li>
Intermediary distribution data</li><li>
Managed account platforms</li><li>
Transaction and shareholder accounting concepts</li></ul></li><li>
Experience working with external data vendors and operational data feeds.</li><li>
Strong analytical and problem-solving skills, with the ability to work confidently with large datasets.</li><li>
Understanding of data management principles, stewardship, and data quality controls.</li><li>
Strong organizational skills with high attention to detail.</li><li>
Ability to communicate clearly with business partners and translate data issues into practical explanations.</li><li>
Comfortable working in a collaborative, fast-moving environment with evolving priorities.</li><li>
Interest in expanding responsibilities and building deeper expertise across the sales data ecosystem.</li></ul><div>
Why This Role</div><ul><li>
High visibility across Sales, Finance, Product, and Technology partners</li><li>
Opportunity to deepen technical and business expertise</li><li>
Exposure to enterprise data platforms and reporting ecosystems</li><li>
Strong foundation for future growth into lead or manager-level roles.</li></ul></div>

Senior Sales Data Operations Analyst

<div><b>Job Description</b><p><br>
Role Overview:</p><p>
As a Junior Analyst, you will support the Business as Usual (BAU) production processes within the Market Insight (MI) team. Your responsibilities will include learning and executing tasks related to client deliverables, product coding, data input validation and Quality Checks with a focus on specific industries or categories. You will work closely with internal and external stakeholders to apply requested changes, ensure timely and accurate data delivery, and investigate root causes of any data-related issues.</p><p></p><p><br>
Key Responsibilities:</p><ul><li><p>
Ensure data integrity throughout the data processing lifecycle.</p></li><li><p>
Verify the accuracy and validity of processed data.</p></li><li><p>
Assist in resolving quality issues raised by local operations, statistic operations, and performance excellence teams.</p></li><li><p>
Adhere to regional and global standards consistently.</p></li><li><p>
Communicate effectively with stakeholders to:</p></li><li><p>
Understand and implement requested data changes.</p></li><li><p>
Raise queries and clarify data-related concerns.</p></li><li><p>
Maintain positive working relationships and open communication across relevant operations teams to meet client expectations.</p></li><li><p>
Ensure timely delivery of data outputs in line with service level agreements (SLAs).</p></li><li><p>
Conduct and document Root Cause Analysis (RCA) for any data errors or delivery issues.</p></li><li><p>
Maintain clear and structured documentation of processes, findings, and resolutions.</p></li></ul><p></p><p><br>
Required Skills &amp; Competencies:</p><ul><li><p>
Strong observation skills to identify product features and anomalies.</p></li><li><p>
Basic understanding of electronic product categorization, coding logic, and market dynamics.</p></li><li><p>
High attention to detail, especially during price and data validation checks.</p></li><li><p>
Proactive approach to problem-solving and issue resolution.</p></li><li><p>
Proficient in using internet search tools for product research and analysis.</p></li><li><p>
Strong interpersonal and collaboration skills to work effectively within a larger team and with stakeholders.</p></li></ul><p></p><p><br>
Education:</p><ul><li><p>
Graduation or Post Graduation in any stream or equivalent professional experience.</p></li></ul><b><br>
Additional Information</b><div></div><p><b><br>
Our Benefits</b></p><ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul><p>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.</p><br>
<p></p>
<p><b>
About NIQ</b></p><p>
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.</p><p>
For more information, visit NIQ.com</p><p>
Want to keep up with our latest updates?</p><p>
Follow us on: LinkedIn | Instagram | Twitter | Facebook</p>
<p><b>
Our commitment to Diversity, Equity, and Inclusion</b></p><p>
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</p></div>

Data Operations Analyst

BlackRock

<div>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 <strong>
  Market Data Operations &ndash; Market Data Client Support and Reporting &ndash; Analyst
  <br/>
  <br/>
 </strong>
 BlackRock is one of the world&rsquo;s preeminent asset management firms and a provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. BlackRock offers a range of solutions &mdash; from rigorous fundamental and quantitative active management approaches aimed at improving out-performance to highly efficient indexing strategies designed to gain exposure to capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares&reg; ETFs.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 The Index &amp; Data Solutions team (IDS) is responsible for the index and data strategy for the firm and the management of the commercial relationships with each provider. The Operations team within IDS handles all market data and index requests and works with vendors to address various reporting, invoice processing and other needs in timely manner. The group is comprised of three key areas: Client Onboarding &amp; Service, Market Data Operations, and Index Licensing Operations.
 <br/>
 <br/>
 <strong>
  Role Description
  <br/>
  <br/>
 </strong>
 We are seeking an ambitious and motivated Analyst to join our Market Data Operations team in Gurgaon. In this role, you will play a key part in managing index and market data enablement workflows the firm. The position requires close collaboration with internal teams and third-party providers to ensure timely approvals, accurate inventory management, and seamless delivery of data services.
 <br/>
 <br/>
 As an Analyst, you will handle daily third-party market data orders, project work and business inquiries from internal BlackRock teams and external clients leveraging BlackRock&rsquo;s proprietary Investment Management Platform, Aladdin. You will confirm licensing requirements and secure financial approvals before granting system or data access and maintain accurate records by updating our inventory system (MDM) whenever new data is enabled.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide excellent customer service when responding to client requests for index and market data services
  </li>
  <li>
   Manage request workflows with third-party data providers, including contracts and inventory updates
  </li>
  <li>
   Maintain changes to commercial subscriptions in third-party entitlement systems
  </li>
  <li>
   Coordinate with external data providers to validate client licensing and enable market data services
  </li>
  <li>
   Collaborate with IDS team members to periodically reconcile market data inventory with vendors
  </li>
  <li>
   Investigate and resolve discrepancies to maintain accurate inventory records &amp; support the billing process
  </li>
  <li>
   Prepare and submit accurate market data usage reports to external providers
  </li>
  <li>
   Support process reviews, recommend improvements, and assist with implementation
  </li>
  <li>
   Build strong relationships with internal business stakeholders and external providers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge/Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in business, math, or a related field
  </li>
  <li>
   1-3 years relevant work experience; knowledge of the Financial Services industry preferred
  </li>
  <li>
   Strong problem-solving and analytical skills are a must
  </li>
  <li>
   Excellent communication skills (oral and written) are required
  </li>
  <li>
   Must be able to quickly learn and navigate proprietary systems (BlackRock&rsquo;s own and third-party platforms)
  </li>
  <li>
   Intermediate Excel knowledge is required
  </li>
  <li>
   Experience with SQL and MDM or other market data inventory system is a plus
  </li>
  <li>
   Knowledge of Market and Index Providers and ability to interpret contract terms and conditions is helpful
  </li>
  <li>
   Bold and proactive with a willingness to stretch outside comfort-zone
  </li>
  <li>
   Self-starter, able to prioritize and deliver multiple assignments while maintaining high quality and consistent results
  </li>
  <li>
   Proven record of alignment with BlackRock's Principles
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Benefits
  <br/>
  <br/>
 </strong>
 To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
 <br/>
 <br/>
 <strong>
  Our hybrid work model
  <br/>
  <br/>
 </strong>
 BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
 <br/>
 <br/>
 <strong>
  About BlackRock
  <br/>
  <br/>
 </strong>
 At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
 <br/>
 <br/>
 This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
 <br/>
 <br/>
 For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
 <br/>
 <br/>
 BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
</div>


Market Data Operations, Client Support and Reporting, Analyst

Wellnecity

<p></p><div><div><div>Wellnecity is hiring a Senior Data Analyst to own the integrity and strategic application of healthcare data, delivering reliable insights that power product performance and business decision-making.</div>
</div><div><h3 class="jobSectionHeader"><b>About Wellnecity, LLC</b></h3>
<div><div>Reducing Costs and Complexity for Self-funded plans: Wellnecity&rsquo;s Smart Hub simplifies self-funded health plan management by integrating the entire ecosystem of disparate vendors and their data sources (not just claims). This yields cost savings, higher utilization, improved member outcomes, and reduced fiduciary risk. We even guarantee you a return on your investment.
</div></div></div><div><h3 class="jobSectionHeader"><b>Description</b></h3>
<div><div><div><b>About Wellnecity:</b></div><div>
Wellnecity is the platform for high performing health plans. We help self-insured employers, advisors, and vendors achieve cost savings, better benefit utilization, and improved member outcomes. If you are passionate about data and improving the US healthcare system, help us rewrite the rules leveraging our proprietary Smart Hub. The ideal candidate will thrive in a fast-paced entrepreneurial environment where your voice is expected to be heard.</div><div></div><div><b><br>
Why Join Wellnecity?</b></div><ul><li><b>
Impact: </b>Play a critical role in revolutionizing healthcare benefits and data management by supporting the mission to help employers operate higher quality and value health plans</li><li><b>
Growth: </b>Shape and grow a high-quality and passionate team</li><li><b>
Innovation: </b>Work with the latest technologies in cloud computing, data engineering, and healthcare data processing</li></ul><div></div><div><b><br>
Role Overview:</b></div><div>
We are hiring a Senior Data Analyst to play a critical role in advancing Wellnecity&rsquo;s data capabilities and product impact. This mid-career individual contributor will bring deep analytical rigor and domain expertise to help ensure the accuracy, reliability, and strategic value of our healthcare data.</div><div></div><div><br>
In this role, you will serve as a trusted data partner to product, engineering, and business stakeholders, owning the integrity of a key data domain and shaping how data is translated into actionable insights. You&rsquo;ll have the autonomy to drive improvements, influence best practices, and mentor junior analysts as we continue scaling our platform and operations.</div><div></div><div><b><br>
Reporting and Location:</b></div><div>
This position will report to <b>Head of Data Operations </b>and be based in Charlotte NC. Remote work will be considered on a case-by-case basis.<br>
</div><div></div><br>
<h2 class="jobSectionHeader"><b>Key Responsibilities Include:</b></h2><ul><li>
Design and implement moderately complex queries, reports, and data workflows that power product functionality and business decision-making.</li><li>
Translate complex healthcare data into actionable insights that directly support product performance, client reporting, and strategic decision-making.</li><li>
Own data integrity, quality monitoring, and documentation for a defined business domain, ensuring reliable and consistent data delivery across stakeholders.</li><li>
Support and enhance scalable cloud-based data pipelines, proactively identifying and resolving data quality or governance issues.</li><li>
Serve as a cross-functional data partner to product, engineering, and business teams, collaborating to translate requirements into reliable data solutions.</li><li>
Lead root-cause analysis of data discrepancies and drive resolution through established governance and quality processes.</li><li>
Identify and implement improvements in data workflows, automation, and validation processes to increase efficiency and reduce risk.</li><li>
Maintain and optimize Wellnecity&rsquo;s analytic environment (e.g., Postgres, Knime), designing robust queries and dashboards that meet evolving stakeholder needs.</li><li>
Mentor and support junior analysts by providing guidance on best practices in querying, validation, documentation, and analytical rigor.</li><li>
Establish and maintain reliable data connections with external data providers and performance partners, ensuring compliance with data standards and governance requirements.</li></ul><h2 class="jobSectionHeader"><b><br>
Required Experience:</b></h2><ul><li>
Bachelor&rsquo;s degree required with 3&ndash;5 years of relevant experience in data analytics, data operations, or a related field. A Master&rsquo;s degree may substitute for up to two years of experience.</li><li>
Experience working with healthcare data within the healthcare industry (eligibility, enrollment, medical and pharmacy claims).</li><li>
Advanced proficiency in SQL, including designing moderately complex queries and optimizing performance for analytical use cases.</li><li>
Strong programming experience in Python (JavaScript familiarity preferred), with demonstrated ability to build maintainable analytical workflows.</li><li>
Experience supporting and improving modern ETL processes and cloud-based data pipelines (e.g., SnapLogic, Airflow, Mongo DB, or comparable tools).</li><li>
Proven ability to analyze moderately complex datasets, identify root causes of data issues, and deliver accurate, data-supported solutions.</li><li>
Demonstrated experience owning data quality and integrity within a defined domain, including validation, documentation, and governance best practices.</li><li>
Ability to independently plan, prioritize, and deliver work across multiple initiatives with high accuracy and accountability.</li><li>
Experience collaborating effectively with product and engineering teams to translate requirements into reliable data solutions.</li><li>
Demonstrated track record of improving processes, automation, or quality controls to enhance operational efficiency and consistency.</li></ul><div><b><br>
Application Timeline</b></div><div>
We anticipate the application window for this opening will close on: <b>April 24</b><b>th</b><b>, 2026</b>. Submission does not guarantee selection, and Wellnecity reserves the right to modify or cancel the hiring process at any time.</div><div></div><div><br>
Only shortlisted candidates will be contacted. We&rsquo;ll retain all applications for future consideration.</div><div></div><div><br>
Finalists will complete a practical SQL and Python-based exercise using representative healthcare data to demonstrate analytical rigor, problem-solving approach, and code quality.</div><div></div><div><b><br>
Benefits Overview</b></div><div>
At Wellnecity, we invest in our team&rsquo;s health, well-being, and growth&mdash;offering competitive pay and a flexible benefits package that supports employees and their families at every stage.</div><div></div><div><br>
Full-time Employee Benefits include:</div><ul><li>
100% employer-paid health insurance for employees and dependents (no waiting period)</li><li>
Employer-paid short- and long-term disability</li><li>
Voluntary dental, vision, and life insurance options</li><li>
Voluntary 401(k) with Morgan Stanley platform</li><li>
Flexible paid time off annually, inclusive of holidays</li></ul><div></div><div><i><br>
Benefits offerings may vary by location and employment status.</i></div><div></div><div><b><br>
Equal Opportunity &amp; Fair Chance Hiring</b></div><div>
Wellnecity is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability status, veteran status, or any other characteristic protected by law.</div><div></div><div><br>
Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws, including the California Fair Chance Act.</div><div></div><div><b><br>
ADA Accommodation Statement</b></div><div>
If you require a reasonable accommodation during the selection process, please reach out through our general contact form or indicate this in your application.</div><br>
<div></div>
</div></div></div><div><h4 class="jobSectionHeader"><b>Salary</b></h4>
<p>$90,000 - $100,000 per year</p></div></div>

Senior Data Analyst

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div><div></div><div><b><br>
About Binance Accelerator Program</b></div><div>
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds&rsquo; leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE</div><div><b>
</b></div><div><b>
Who may apply</b></div><div><b>
 </b>Current university students and recent graduates</div><div></div><div><br>
We are seeking a motivated and detail-oriented early-career Data Analyst to support our operations and business teams.</div><div></div><div><br>
This role is perfect for individuals passionate about data, business insights, and performance tracking. You will gain hands-on experience analyzing real business data and contributing to informed decision-making.</div>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul><li>
Assist in cleaning and organizing data to ensure accuracy and consistency for analysis</li><li>
Support the preparation of routine operational reports and KPI tracking</li><li>
Monitor key metrics and help identify anomalies or unusual trends</li><li>
Contribute to basic data analysis to uncover business performance insights</li><li>
Support attribution analysis to explore potential factors driving changes in data</li><li>
Help develop dashboards and summary reports for internal stakeholders</li><li>
Assist in optimizing reporting processes and enhancing data organization for greater efficiency</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
Current university student or recent graduate, preferably in an analytical or business-related field</li><li>
Proficient with Excel, including basic formulas and pivot tables</li><li>
Basic understanding of data analysis concepts</li><li>
Familiarity with SQL or Python is a plus, but not required</li><li>
Strong logical thinking and keen attention to detail</li><li>
Effective communication skills and a proactive willingness to learn</li><li>
Interest in web3, digital platforms, or analytics is an advantage</li></ul><h3 class="jobSectionHeader"><b>
Our Ideal Candidate</b></h3><ul><li>
Responsible and proactive in taking initiative</li><li>
Rapid and adaptable learner</li><li>
Comfortable and efficient working within structured environments</li><li>
Skilled at managing and prioritizing multiple tasks simultaneously</li></ul><div>
Why Binance</div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div><br>
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Binance Accelerator Program - Affiliate Data

FUKU

<div>Company Overview:<br>
Our client is a leading international media and digital content platform with a strong footprint across Asia and an expanding presence in the Middle East.<br>
The company operates large-scale content ecosystems including long-form content, short-form video, and subscription-based products, and is actively strengthening its data-driven decision-making capabilities to support regional growth.<br>
This role will focus on content performance, user behavior, and commercialization analytics, working closely with content, product, and growth teams.<br>
<br>
Key Responsibilities:<br>
<ul><li>Build a quantifiable, real-time, and accurate data framework, including unified core metrics, data definitions, and monitoring mechanisms.</li><li>Design and maintain core dashboards and daily/weekly reports covering content performance, conversion funnels, retention/churn, and monetization metrics.</li><li>Conduct in-depth analysis on key content, projects, and campaigns (e.g., major shows, short-form content, or regional initiatives), providing performance evaluation, issue diagnosis, and optimization recommendations.</li><li>Develop user profiling and segmentation models, establishing tagging systems, audience clusters, and preference insights to support content, product, and operations strategies.</li><li>Identify critical churn and drop-off points across the user journey, drive cross-functional improvement initiatives, and track post-optimization results.</li></ul><br>
Requirements:<br>
<ul><li>Experience in data analysis or data operations, preferably within content platforms, internet products, or growth-oriented environments.</li><li>Strong proficiency in SQL; hands-on experience with BI tools such as Looker, Power BI, Tableau, or similar.</li><li>Python experience is a plus.</li><li>Clear logical thinking with the ability to articulate a full loop of problem  metrics  insights  actions  review.</li><li>Strong communication and stakeholder management skills, able to collaborate effectively with product, content, and operations teams.</li><li>English as a working language is required.</li><li>Familiarity with Middle Eastern users or Arabic language skills is a strong plus.</li></ul><br>
Why This Role:<br>
<ul><li>High-impact role directly supporting content and user growth strategy.</li><li>Exposure to regional and global stakeholders in an international organization.</li><li>Opportunity to build scalable data foundations and analytics frameworks from the ground up.</li><li>Competitive compensation and long-term development potential.</li></ul></div>

Data Analyst Content & User Growth

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