data operations specialist

Shelter Insurance

<div>A company built to serve you. It's your career, Shelter it!
Data Engineering &amp; Operations Specialist
$101,504 &ndash; 125,868 / year minimum starting pay
Job Level: Individual Contributor
Location: Columbia, Missouri (On-site, Full-Time)
Shelter maintains broad salary ranges for its roles in order to account for variations in geographic location, education, training, skills, relevant work experience, business needs and market demands. Please remember that this range is the starting base pay only and does not consider other components that make up the total rewards package for the position.
What You Will Be Doing:
Design, implement, and maintain data pipelines, data integration solutions, and data architecture. Additionally, expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics.
What We're Looking For:
<ul><li>Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.</li><li>
Proven experience (4+ years) as a Senior Data Engineer, with expertise in Qlik Replicate, Compose, and DBTLabs &amp; Astronomer, combined with hands-on experience in Snowflake typically required.</li><li>
Proficiency in Qlik Replicate, Compose, and Github, DBTLabs &amp; Astronomer for data integration, replication, and transformation.</li><li>
Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts.</li><li>
Expertise in Snowflake, including data ingestion, storage, performance optimization, and security.</li><li>
Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services.</li><li>
Familiarity with data quality, data governance, and data lifecycle management practices.</li><li>
Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.</li><li>
Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues.</li><li>
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.</li><li>
Ability to perform essential functions of the position, with or without a reasonable accommodation.</li></ul>
Shelter's uncompromising commitment to excellence doesn't stop with our customers. We recognize our employees are what make us a premier organization in the insurance industry. Shelter Employees enjoy such benefits as:<ul><li>
Health, Dental, Voluntary Vision and Prescription Drug Insurance</li><li>
Savings and Profit Sharing 401(k)</li><li>
Paid Time Off for Sick and Personal Leave, Vacation and Holidays</li><li>
Vitality Wellness Program</li><li>
&quot;Dress for Your Day&quot; Dress Code</li><li>
Flexible Scheduling</li><li>
And much more!</li></ul>
If interested, please apply by:
04/27/2026</div>

Data Engineering & Operations Specialist

NTT DATA

Req ID: 368046
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a Systems Integration Specialist Advisor to join our team in Plano, Texas (US-TX), United States (US).
 
L3 – Senior Iceberg DBA
 <ul>
<li>10+ years of experience in Big Data / Data Engineering / DBA / Data Operations roles</li>
<li>Minimum 2+ years of hands-on experience with Apache Iceberg in production environments</li>
<li>6+ years of experience working with Cloudera ecosystem (CDP Ecosystem)</li>
<li>Strong expertise in:</li>
<li>Iceberg table optimization (compaction, metadata management, partition evolution)</li>
<li>Multi-engine performance tuning (Spark, Hive, Impala)</li>
<li>Troubleshooting complex data and query performance issues</li>
<li>Proven experience handling:</li>
<li>P1/P2 production incidents</li>
<li>Large-scale environments (TB/PB scale)</li>
<li>Data migration initiatives (Hive/Teradata → Iceberg)</li>
<li>Lead enforcement of data modeling and Lakehouse standards across applications</li>
<li>Guide teams on:</li>
<li>Medallion architecture implementation</li>
<li>Balancing normalization vs performance</li>
<li>Review and resolve complex data modeling and performance trade-offs</li>
<li>Ensure consistency of data structures across domains and workloads</li>
<li>Mentor and guide L2 resources in operational best practices and troubleshooting</li>
</ul>
About NTT DATA
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Systems Integration Specialist Advisor

Frontline Education

<div>Description 
 
Implementation Specialist &ndash; Data &amp; Analytics 
 
Location Requirements: Remote, US 
 
Local to Naperville, IL preferred. This position can be remote within the United States 
 
How you'll contribute to our mission 
As an Implementation Specialist at Frontline Education, you play a critical role in helping schools and districts operate more effectively using data and technology. You take ownership of incoming requests and turn them into accurate, reliable outputs that support real decisions. 
Working within our Data &amp; Analytics Services team, you partner closely with Advisors and teammates to translate needs into structured, executable work. You are responsible not just for completing tasks, but for ensuring the work is correct, complete, and aligned to the intended outcome. 
Your work builds trust in the systems and insights that educators rely on every day. 
 
How you'll drive success<ul><li>
Own work from initial request through final delivery, ensuring outputs are accurate, complete, and aligned to the intended use</li><li>
Translate ambiguous or incomplete requests into clear, structured work with defined inputs, outputs, and success criteria</li><li>
Transform, validate, and configure data to support reliable models and outputs 
Build quality into your process through validation, reconciliation, and thoughtful checks before delivery</li><li>
Identify issues, inconsistencies, or risks early and take action to resolve them or escalate when appropriate</li><li>
Challenge unclear, incorrect, or inefficient requests when necessary to ensure quality outcomes</li><li>
Partner effectively with Advisors by providing clear updates, surfacing risks, and aligning on priorities</li><li>
Manage multiple requests and priorities while maintaining consistency and attention to detail</li><li>
Contribute to more efficient and scalable ways of working through documentation, standardization, and process improvement</li><li>
Use available tools, automation, and emerging technologies to improve both speed and quality of work</li></ul> 

Examples of work may include:<ul><li>
Preparing and validating datasets for use in analytics models</li><li>
Building or updating client models using structured data inputs</li><li>
Reviewing and reconciling data to ensure accuracy and completeness</li><li>
Mapping client data to standard structures or frameworks</li><li>
Refreshing or updating models with new data on a recurring basis</li></ul> 

Performance Objectives and Competencies 
Own End-to-End Delivery Outcomes<ul><li>
Takes full responsibility for assigned work from intake through delivery</li><li>
Delivers outputs that do not require rework by Advisors or teammates</li><li>
Ensures outputs are complete, accurate, and aligned to intended use</li><li>
Follows through on commitments and meets agreed-upon timelines</li><li>
Proactively identifies gaps in requests and resolves them before execution</li></ul> 

Translate Ambiguity into Structured Work<ul><li>
Breaks down unclear or incomplete requests into defined steps, inputs, and expected outputs</li><li>
Asks targeted questions to clarify intent rather than waiting for direction</li><li>
Applies sound judgment to move work forward when full information is not available</li><li>
Knows when to proceed independently vs. when to align or escalate</li><li>
Challenges unclear, incorrect, or inefficient requests to ensure the right work is being done</li></ul> 

Ensure Data Integrity and Model Quality<ul><li>
Validates data inputs for accuracy, completeness, and reasonableness</li><li>
Applies consistent logic and standards when building or updating models</li><li>
Performs reconciliation and quality checks before delivery</li><li>
Identifies anomalies or inconsistencies and investigates root causes</li><li>
Takes accountability for the quality of outputs, not just completion of steps</li></ul> 

Operate Effectively Within the Advisor Model<ul><li>
Partners with Advisors to support client outcomes without requiring direct client ownership</li><li>
Communicates clearly on progress, risks, and open questions</li><li>
Aligns work to priorities set by Advisors and broader team goals</li><li>
Escalates issues appropriately when they impact timelines, quality, or client outcomes</li></ul> 

Improve Systems, Not Just Complete Tasks<ul><li>
Identifies inefficiencies, recurring issues, or gaps in current workflows</li><li>
Contributes to documentation, standardization, and repeatable processes</li><li>
Suggests and implements improvements that increase team efficiency or quality</li><li>
Shares knowledge and practices that help the broader team perform more effectively</li></ul> 

Leverage Tools and AI to Improve Outcomes<ul><li>
Uses spreadsheets and data tools effectively to organize, analyze, and transform data</li><li>
Explores automation and AI-assisted approaches to improve speed and reduce manual effort</li><li>
Applies technology thoughtfully to enhance accuracy and consistency</li><li>
Demonstrates curiosity and willingness to adopt new tools and ways of working</li></ul> 

Requirements 
Required<ul><li>
Experience working with data in a professional or academic setting, including organizing, transforming, or validating datasets</li><li>
Ability to use spreadsheets or similar data tools to manage and interpret information</li><li>
Strong attention to detail and a consistent track record of delivering accurate, reliable work</li><li>
Ability to work through ambiguity and translate unclear inputs into structured, executable tasks</li><li>
Clear communication skills, with the ability to collaborate effectively and surface issues early</li><li>
Ability to manage multiple priorities and follow through on commitments</li><li>
Demonstrated ownership of work and accountability for outcomes, not just task completion</li></ul> 

Preferred<ul><li>
Experience in analytics, implementation, or service-oriented environments</li><li>
Familiarity with data modeling, data mapping, or structured data workflows</li><li>
Exposure to automation, process improvement, or workflow optimization</li><li>
Experience working with or learning new technologies, including AI-assisted tools</li><li>
Domain exposure to education, finance, or operational data environments</li></ul> 

What you'll need to thrive 
You take ownership of outcomes and hold yourself accountable for delivering work others can rely on. You are comfortable working through ambiguity and take initiative to move work forward rather than waiting for direction. 
 
You approach problems with structure and curiosity, seeking to understand both what needs to be done and why it matters. You are willing to challenge assumptions or requests when needed to ensure the right outcomes are achieved. 
 
You are adaptable in evolving environments and open to improving how work gets done through new tools, technologies, and approaches. You collaborate effectively, communicate clearly, and contribute to a team culture focused on quality, accountability, and continuous improvement. 
 
Our Mission, Our People, Our Purpose 
At Frontline Education, we&rsquo;re reimagining what&rsquo;s possible by becoming an AI-first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we&rsquo;re creating tools that help educators save time, gain insights, and focus more on what matters most &mdash; their students. 
As part of our team, you&rsquo;ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference. 
 
How We Support Growth, Balance, and Well-Being 
<ul><li>Personalized Time Off: Take time when it&rsquo;s needed most &mdash; whether that&rsquo;s a family vacation, a reset day, or simply time to rest and refocus.</li><li>Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones.</li><li>Volunteer Time Off: Paid time to give back and support causes that matter to you.</li><li>Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year.</li><li>Our Philosophy: We believe time away from work helps you bring your best self to it.</li></ul>
 
Continuous Learning and Growth 
<ul><li>World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning.</li><li>Leadership &amp; Technical Skill Building: Develop new capabilities and chart your own professional path.</li><li>AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving.</li><li>Tuition Reimbursement: Invest in formal education to advance your skills and career.</li><li>Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends&mdash;designed to inspire curiosity and continuous improvement.</li></ul>
 
Health, Happiness, and Purpose 
<ul><li>Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being.</li><li>Employee Assistance Program (EAP): Confidential support for you and your family&rsquo;s needs.</li><li>Comprehensive Benefits: Health and financial benefits that support your happiness and future.</li><li>A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive&mdash;personally, professionally, and purposefully.</li></ul> 
 
Compensation &amp; Benefits 
Frontline Education offers a competitive compensation range of $60-68,000.00 and package designed to support long-term career growth and well-being. Compensation for this role will be determined based on experience, location, and internal equity. 
Eligible employees may also participate in bonus opportunities, retirement programs, and comprehensive health and wellness benefits. 
 
Inclusion, Belonging &amp; Equal Opportunity 
Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team. 
 
Interview Process &amp; Data Privacy 
As part of our interview process, Frontline uses video conferencing tools that include photo capture and may include automated transcription features. A screenshot or photo will be taken at the start of the interview for internal identification and record-keeping purposes only, and transcription may be used to support notetaking and evaluation consistency. These materials are used solely by our recruiting and hiring teams, stored securely, and not shared outside the hiring process. Candidates may opt out of the transcription at any time by notifying their recruiter in advance. Frontline processes this information in accordance with applicable data privacy laws and only for legitimate business purposes related to recruitment and hiring. 
 
Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.</div>

Implementation Specialist - Data & Analytics

Randstad USA

<div>
 
 
 *Important*:
 
 
 Work Authorization Requirement: Candidates must be authorized to work in the U.S. permanently. No current or future sponsorship is available (OPT, CPT, or other temporary work authorization cannot be considered
 
 ).
 
 
 
 
 
 
 Randstad has an excellent opportunity for an experienced Investment Data &amp; Operations professional to support portfolio reporting, data integrity, and operational workflows across a sophisticated investment platform.
 
 
 
 The ideal candidate has
 
 3&ndash;6+ years of experience supporting investment operations, portfolio reporting, or financial data environments
 
 within wealth management, asset management, or financial services organizations. This individual is comfortable working with
 
 investment data, reconciliations, custodial reporting, and reporting platforms
 
 , and thrives in a fast-paced operations environment that requires strong analytical skills and attention to detail.
 
 
 This role sits within a collaborative operations team responsible for
 
 maintaining accurate investment data, resolving reporting discrepancies, and supporting portfolio management and client service teams
 
 . The position focuses on how investment data is
 
 captured, maintained, and delivered across systems to ensure a consistent and reliable &ldquo;single source of truth.&rdquo;
 
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Support
 
 investment data operations, portfolio data management, and reporting workflows
 
 across multiple systems
 </li>
 <li>
 Monitor incoming investment data and
 
 reconcile discrepancies across custodians, trading platforms, and reporting systems
 
 </li>
 <li>
 Maintain data integrity across
 
 portfolio reporting, trading activity, and investment operations processes
 
 </li>
 <li>
 Investigate and resolve
 
 data breaks, reconciliation issues, and reporting discrepancies
 
 </li>
 <li>
 Identify opportunities to
 
 improve and automate data, reporting, and operational workflows
 
 </li>
 <li>
 Assist with
 
 investment reporting deliverables and presentations
 
 using Excel and PowerPoint
 </li>
 <li>
 Partner cross-functionally with
 
 operations, technology, portfolio management, and client service teams
 
 to support reporting and data initiatives
 </li>
 </ul>
 
 
 
 
 
 Preferred Background
 
 
 
 Preferred Background
 
 <ul>
 <li>
 
 3&ndash;6+ years of experience
 
 within financial services operations, investment reporting, or data operations
 </li>
 <li>
 Experience supporting
 
 investment data, portfolio reporting, reconciliation, custodial data or operational workflows
 
 </li>
 <li>
 
 Experience with portfolio reporting or CRM platforms such as
 
 Addepar, Orion Advisor Tech, Black Diamond, Envestnet Tamarac, Salesforce, or similar systems preferred.
 
 
 </li>
 <li>
 Strong analytical skills with
 
 advanced Excel
 
 experience
 </li>
 <li>
 Detail-oriented professional comfortable working with
 
 large datasets and cross-functional teams
 
 </li>
 </ul>
 
 
 This role is best suited for professionals with hands-on experience supporting investment operations or reporting environments rather than purely data analytics or project management roles.
 
 
 
 
 
 
 
 Role Details
 
 
 
 &bull; Hybrid schedule &ndash;
 
 3 days onsite / 2 remote
 
 
 
 &bull;
 
 Greater Philadelphia / Mid-Atlantic region
 
 
 
 &bull;
 
 Contract-to-hire opportunity
 
 
 
 &bull;
 
 Competitive compensation
 
 
 
 
 
 
 If you have experience supporting investment data, portfolio reporting, or financial operations environments and are open to a contract-to-hire opportunity in the Greater Wilmington / Philadelphia area, I&rsquo;d love to connect.
 
</div>

Investment Data & Operations Analyst

Bioniks.org

Job SummaryWe are looking for a detail-oriented Data Operations Officer to manage, update, and maintain organizational data on internal portals and systems. The role ensures data accuracy, timely reporting, and supports decision-making through basic analysis and reporting.Key Responsibilities<ul><li>Update and maintain data on company portals and internal systems.</li><li>Ensure accuracy, completeness, and consistency of data records.</li><li>Collect data from departments and compile reports.</li><li>Prepare daily, weekly, and monthly MIS reports.</li><li>Perform basic data analysis and highlight trends or discrepancies.</li><li>Maintain databases, spreadsheets, and dashboards.</li><li>Coordinate with departments to resolve data gaps and errors.</li><li>Ensure data confidentiality and compliance with company policies.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Business, Statistics, Computer Science, or related field.</li><li>Strong MS Excel skills.</li><li>Familiarity with Google Sheets or data management tools.</li><li>Strong attention to detail and accuracy.</li><li>Good communication and coordination skills.</li></ul>Benefits<ul><li>Provident Fund (as per company policy)</li><li>Bonus</li><li>Health Insurance</li></ul>Job Type: Full-timeWork Location: In person

Data Operations Officer

JPMorganChase

<div>JOB DESCRIPTION 
We are looking for a motivated and detail-oriented Data Feeds Analyst to join our team. In this role, you will be responsible for managing and optimizing data feed operations to ensure timely and accurate delivery of data to our clients. You will serve as a key point of contact for data feed-related requests and play an active role in driving process improvements across the team.
As a Data Feeds Analyst in the Data Operations function, you will play a critical role in ensuring the seamless flow of data between the organization and its clients. Acting as the primary point of contact for data feed requests, the analyst is responsible for managing multiple feed queues, maintaining data integrity, and ensuring timely delivery in line with client expectations.
Job Responsibilities:<ul><li>
Beyond day-to-day operations, the Data Feeds Analyst is expected to grow into a Subject Matter Expert, developing deep knowledge of the firm's data feed infrastructure, tools, and processes.
</li><li>This expertise positions the analyst as a trusted resource for both internal teams and external clients, enabling effective issue resolution and informed decision-making.</li><li>
The role also carries a continuous improvement mandate, the analyst is empowered to identify inefficiencies in existing workflows and take ownership of implementing solutions that enhance operational performance and client satisfaction.
</li><li>Bridges the gap between operational execution and strategic process development, making it a key contributor to the broader data operations strategy.</li><li>
Detail oriented with strong communication and presentation skills.</li><li>
Banking/Financial Services experience.</li></ul>
Preferred qualifications, skills, and capabilities:<ul><li>
Project Automation</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Client Data Analyst

Bain & Company

<div>
 
 
 WHAT MAKES US A GREAT PLACE TO WORK
 
 
 
 We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;s Best Places to Work list and have earned the #1 overall spot a record seven times.&nbsp;
 
 
 
 
 
 Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
 
 
 
 
 
 
 WHO YOU&rsquo;LL WORK WITH
 
 
 
 You&rsquo;ll join our Pyxis team within Bain&rsquo;s digital capabilities ecosystem. Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today.
 
 
 We help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon, focusing on delivering our data and insights in the way that best suits client needs. We augment our datasets with best-in-class machine learning and AI, working across data operations, machine learning, and commercial teams to deliver exceptional results.
 
 
 
 
 
 
 WHERE YOU&rsquo;LL FIT WITHIN THE TEAM
 
 
 
 As a Senior Associate, Pyxis Data Operations, you will support the delivery of high-quality, data-driven insights to clients by owning the technical execution of deliverables and leading cross-functional quality assurance initiatives. This role combines advanced data analysis capabilities with strong project coordination and client-facing communication.
 
 
 You will serve as the internal lead for strategic client relationships, working across data operations, machine learning, and commercial teams to ensure the accuracy, clarity, and impact of insights delivered to clients. You will operate in a continuous improvement environment and contribute to enhancing delivery processes and data quality through automation, documentation, and close collaboration with internal technical teams and external stakeholders.
 
 
 
 
 
 
 WHAT YOU&rsquo;LL DO
 
 
 
 
 Technical Execution &amp; Analysis (50%)
 
 
 <ul>
 <li>
 
 Conduct deep-dive data analysis and root cause investigations on time-series trends, quality gaps, and ML output issues
 
 </li>
 <li>
 
 Partner with ML engineers to review, refine, and optimize tagging models and training data
 
 </li>
 <li>
 
 Execute data cleaning, manipulation, and transformation using SQL, Python, and regex
 
 </li>
 <li>
 
 Leverage foundational machine learning and NLP knowledge to interpret outputs and guide improvements
 
 </li>
 </ul>
 
 
 Client Delivery &amp; Communication (25%)
 
 
 <ul>
 <li>
 
 Act as the technical lead for assigned client relationships, managing the execution of deliverables and ensuring data accuracy and relevance
 
 </li>
 <li>
 
 Translate complex analytical outputs into clear, client-facing materials and presentations
 
 </li>
 <li>
 
 Provide guidance to internal delivery teams on framing and communicating insights
 
 </li>
 </ul>
 
 
 Cross-functional Coordination &amp; Project Management (15%)
 
 
 <ul>
 <li>
 
 Coordinate with ML, Data Ops, and Commercial teams to orchestrate quality assurance (QA) and quality control (QC) efforts for all client-facing datasets
 
 </li>
 <li>
 
 Track timelines and project dependencies to ensure timely and accurate delivery of data products
 
 </li>
 <li>
 
 Own documentation and continuous improvement efforts related to delivery workflows and QA tools
 
 </li>
 </ul>
 
 
 Process Improvement &amp; Team Contribution (10%)
 
 
 <ul>
 <li>
 
 Drive improvements in QA/QC methodologies through automation and tool development
 
 </li>
 <li>
 
 Contribute to internal team upskilling by sharing analytical techniques and coding best practices
 
 </li>
 <li>
 
 Recommend improvements to data delivery processes based on analysis of recurring issues and feedback
 
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOU
 
 
 
 
 Required Experience
 
 
 <ul>
 <li>
 
 A Bachelor&rsquo;s or Master&rsquo;s degree
 
 </li>
 <li>
 
 1-3+ years of data analytics or related experience
 
 </li>
 <li>
 
 High proficiency in summarizing technical concepts and translating analytics to business impact
 
 </li>
 <li>
 
 Proficiency in SQL for data analysis including experience with basic regex expressions
 
 </li>
 <li>
 
 Experience with Python for data analysis and Git/Github for codebase management
 
 </li>
 <li>
 
 Familiarity with common machine learning topics; NLP knowledge is a nice-to-have
 
 </li>
 <li>
 
 Experience working in a continuous improvement environment, using data to define processes that continually enhance models and data quality
 
 </li>
 <li>
 
 Experience working with consumer panel and/or market measurement data is a plus
 
 </li>
 </ul>
 
 
 
 
 
 Working Model
 
 
 
 Hybrid: This role follows a hybrid model, requiring in-office presence at least three days per week.
 
 
 
 
 
 
 U.S. Compensation Information
 
 
 
 Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain&rsquo;s best in class benefits package (details listed below).
 
 
 Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:
 
 <ul>
 <li>
 
 In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between
 
 $70,000 &ndash; $100,000
 
 per year
 
 </li>
 <li>
 
 Annual discretionary performance bonus
 
 </li>
 <li>
 
 This role may also be eligible for other elements of discretionary compensation
 
 </li>
 <li>
 
 4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
 
 </li>
 </ul>
 
 Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
 
 <ul>
 <li>
 
 Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
 
 </li>
 <li>
 
 Generous paid time off, including parental leave, sick leave and paid holidays
 
 </li>
 <li>
 
 Fully vested 401(k) company contribution
 
 </li>
 <li>
 
 Paid Life and Long-Term Disability insurance
 
 </li>
 <li>
 
 Annual fitness reimbursements
 
 </li>
 </ul>
</div>

Data Operations Analyst, Pyxis

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