data analysis manager

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>2/20/2026</p>
</div><div><p>Description</p>
<div>Manager, Data Analysis<p>
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
We are looking for a high performing and motivated manager to help us on our transformation journey to modernize our compliance testing script management. The candidate will have the ability to set the script intent for the new automated process, develop change management process, and drive governance to ensure our testing community will always have access to the accurate and up-to-date data. The person will have the opportunity to work across various teams, from the data analyst, second line testing team, product management, to the tech team in developing and implementing the solution.</p><p><b>
What you&rsquo;ll do:</b></p><ul><li>
Drive current and future strategy by leveraging your analytical skills</li><li>
Assist with building and developing new tools and processes to strengthen the compliance testing</li><li>
Work with vast amounts of data in new and evolving environments</li><li>
Be a part of growing and developing our brand in the testing products</li><li>
Leverage analytics to create a customer experience above our peers</li><li>
Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers</li><li>
Be a part of the full life cycle of projects and see end results</li><li>
Collaborate across business units</li><li>
Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority</li><li>
Experience real work life balance, with little travel involved</li></ul><p></p><p><b><br>
On any given day you will be:</b></p><ul><li>
 Identifying, developing, improving and implementing process, data, and reporting improvements for the organization</li><li>
Working with large and complex databases containing millions to billions of records</li><li>
Improving operational efficiencies and effectiveness</li><li>
Conducting analysis to evaluate processes and tests</li><li>
Extracting and analyzing data to enhance the the testing product</li></ul><p>
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong process, operation, and governance components and those with a operational background are strongly encouraged to apply.</p><p><b>
Basic Qualifications</b></p><ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
At least 4 years of experience performing professional data analysis work</li><li>
At least 4 years of experience performing programming</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 7 years of professional data analysis work experience</li><li>
At least 4 years of experience with Python, R, Spark or SQL</li><li>
At least 1 year of experience in people management</li><li>
At least 1 years of project management experience</li><li>
At least 1 year of experience in Tableau</li><li>
Proficient utilizing and developing within AWS service</li></ul><p></p><p><b><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $164,800 - $188,100 for Data Analysis Manager<br>
<p></p>
Richmond, VA: $149,800 - $171,000 for Data Analysis Manager<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Manager, Data Analysis<p>
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
We are looking for a high performing and motivated manager to help us on our transformation journey to modernize our compliance testing script management. The candidate will have the ability to set the script intent for the new automated process, develop change management process, and drive governance to ensure our testing community will always have access to the accurate and up-to-date data. The person will have the opportunity to work across various teams, from the data analyst, second line testing team, product management, to the tech team in developing and implementing the solution.</p><p><b>
What you&rsquo;ll do:</b></p><ul><li>
Drive current and future strategy by leveraging your analytical skills</li><li>
Assist with building and developing new tools and processes to strengthen the compliance testing</li><li>
Work with vast amounts of data in new and evolving environments</li><li>
Be a part of growing and developing our brand in the testing products</li><li>
Leverage analytics to create a customer experience above our peers</li><li>
Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers</li><li>
Be a part of the full life cycle of projects and see end results</li><li>
Collaborate across business units</li><li>
Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority</li><li>
Experience real work life balance, with little travel involved</li></ul><p></p><p><b><br>
On any given day you will be:</b></p><ul><li>
 Identifying, developing, improving and implementing process, data, and reporting improvements for the organization</li><li>
Working with large and complex databases containing millions to billions of records</li><li>
Improving operational efficiencies and effectiveness</li><li>
Conducting analysis to evaluate processes and tests</li><li>
Extracting and analyzing data to enhance the the testing product</li></ul><p>
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong process, operation, and governance components and those with a operational background are strongly encouraged to apply.</p><p><b>
Basic Qualifications</b></p><ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
At least 4 years of experience performing professional data analysis work</li><li>
At least 4 years of experience performing programming</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in a Science, Technology, Engineering, Mathematics discipline</li><li>
At least 7 years of professional data analysis work experience</li><li>
At least 4 years of experience with Python, R, Spark or SQL</li><li>
At least 1 year of experience in people management</li><li>
At least 1 years of project management experience</li><li>
At least 1 year of experience in Tableau</li><li>
Proficient utilizing and developing within AWS service</li></ul><p></p><p><b><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $164,800 - $188,100 for Data Analysis Manager<br>
<p></p>
Richmond, VA: $149,800 - $171,000 for Data Analysis Manager<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
164,800.00 - 188,100.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Manager, Data Analysis

Keeta

<div>
 <p>
  <strong>
   What You'll DO:
  </strong>
 </p>
 <ol>
  <li>
   Conduct merchant-side analysis for the food delivery business, supporting frontline teams in business comprehension, marketing campaigns, product experience, merchant research, and strategy formulation to enhance overall operational efficiency.
  </li>
  <li>
   Identify business needs and establish key metric systems for various scenarios including business performance analysis, operational monitoring, and team management. Build and maintain data dashboards, develop data products, and improve data accessibility and usability for both frontline and supporting teams.
  </li>
  <li>
   Develop a deep understanding of the business, utilize data analysis tools and methods to uncover insights behind data, generate business observations, identify opportunities, address key business questions, and drive business optimization and iteration.
  </li>
  <li>
   Perform in-depth thematic analysis on specific business issues, providing professional insights and data-driven input to support company operational decisions, product direction, and business strategies.
  </li>
  <li>
   Collaborate closely with frontline, operations, product, algorithm, and technical teams to drive the implementation of strategies and take ownership of business outcomes.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Need From You:
  </strong>
 </p>
 <ol>
  <li>
   Bachelor&rsquo;s degree or above, preferably in Mathematics, Economics, Computer Science, or related fields.
  </li>
  <li>
   3+ years of relevant experience in business analysis, data analysis, or similar roles. Prior experience in leading internet companies or consulting firms is preferred.
  </li>
  <li>
   Proficiency in SQL, with experience in Python and BI tools.
  </li>
  <li>
   Strong logical thinking skills, ability to structure and deconstruct problems, with independent and critical thinking habits.
  </li>
  <li>
   Solid command of common data analysis tools and strong foundational knowledge in mathematical statistics. Proven track record of driving business iteration and optimization through data analysis and delivering tangible results.
  </li>
  <li>
   High sense of responsibility, excellent communication and problem-solving skills, and strong team collaboration and project management abilities.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Makes This Roll Exciting:
  </strong>
 </p>
 <ol>
  <li>
   Opportunity to work in a startup-like environment, participating in early-stage business planning and key project implementation.
  </li>
  <li>
   Preference will be given to candidates with industry research experience in food delivery or FMCG (Fast-Moving Consumer Goods).
  </li>
 </ol>
 <p>
 </p>
</div>


Data Analyst Manager

CHAIN REACTION

<div><p>We are seeking an experienced <b>Data Analyst Manager </b>to join our data and analytics team. In this role, you will be instrumental in transforming complex data into actionable business insights that drive growth and optimization. You will work at the intersection of marketing, technology, and business strategy, implementing advanced analytics solutions and delivering data-driven recommendations that have measurable impact.</p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
Analytics Implementation &amp; Management</b></h3><ul>
<li>Lead the implementation and configuration of analytics tools (GA4, GTM, Firebase, &amp; MMP) across web and app platforms</li>
<li>Develop and maintain tracking frameworks to ensure accurate data collection</li>
<li>Create and manage data schemas, taxonomies, and governance protocols</li>
<li>Audit tracking implementations and user interfaces to identify optimization opportunities</li>
</ul><h3 class="jobSectionHeader"><b>Data Analysis &amp; Insight Generation</b></h3><ul>
<li>Extract, transform, and analyze complex datasets to uncover meaningful patterns and trends</li>
<li>Conduct in-depth user journey analyses to identify conversion barriers and opportunities</li>
<li>Perform cohort analyses, segmentation, and attribution modeling to understand customer behavior</li>
<li>Generate predictive insights to inform strategic business decisions</li>
</ul><h3 class="jobSectionHeader"><b>Reporting &amp; Visualization</b></h3><ul>
<li>Design and develop interactive dashboards and reports using BI tools like Looker Studio</li>
<li>Create clear, compelling data visualizations that tell impactful stories</li>
<li>Develop automated reporting systems to streamline data delivery to stakeholders</li>
<li>Translate technical findings into business-friendly language and actionable recommendations</li>
</ul><h3 class="jobSectionHeader"><b>Stakeholder Management &amp; Communication</b></h3><ul>
<li>Partner with cross-functional teams to understand business challenges and requirements</li>
<li>Present findings and recommendations to diverse audiences, from technical teams to senior leadership</li>
<li>Collaborate with marketing, product, and development teams to implement data-driven solutions</li>
<li>Serve as the analytics subject matter expert for assigned projects and initiatives</li>
</ul><p></p><h3 class="jobSectionHeader"><b>
Qualifications:</b></h3><h3 class="jobSectionHeader"><b>
Required Experience &amp; Skills</b></h3><ul>
<li>4 - 7 years of experience in digital analytics or related field</li>
<li>Proven expertise with Google Analytics 4, Google Tag Manager, Firebase and MMP</li>
<li>Strong proficiency with business intelligence tools, particularly Google Looker Studio</li>
<li>Working knowledge of at least one programming language (SQL, Python or JavaScript)</li>
<li>Experience analyzing user journeys and behavior across digital platforms</li>
<li>Excellent data visualization skills and ability to create compelling, actionable reports</li>
<li>Clear, effective written and verbal communication skills with ability to explain complex concepts to non-technical audiences</li>
</ul><h3 class="jobSectionHeader"><b>Technical Knowledge</b></h3><ul>
<li>Advanced Google Analytics 4 configuration and reporting</li>
<li>Tag management systems (especially Google Tag Manager)</li>
<li>Event-based tracking methodologies</li>
<li>SQL for data querying and manipulation</li>
<li>Advanced Excel/Google Sheets functions and formulas</li>
<li>Dashboard development and data visualization principles</li>
<li>Basic understanding of HTML, CSS, and JavaScript</li>
<li>Familiarity with app analytics frameworks</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3><ul>
<li>Experience with marketing technology stacks and integrations</li>
<li>Knowledge of data privacy regulations and compliance requirements</li>
<li>Experience implementing and analyzing A/B tests</li>
<li>Familiarity with e-commerce analytics</li>
<li>Experience with customer data platforms (CDPs)</li>
<li>Working knowledge of API integrations</li>
<li>Experience with BigQuery or other data warehouse solutions</li>
</ul><p><b>
Benefits</b></p><p>
Joining our team ensures that your opinions matter, providing you with a platform to express yourself. You will experience continuous growth, and learning opportunities, and be empowered to push your limits. We are dedicated to fostering a positive environment that prioritizes your well-being and health. Collaborate with a strong and supportive team that is committed to motivating you both in your personal and professional journey.</p></div>

TriWest Healthcare Alliance

<div><div><div><h2 class="jobSectionHeader"><b>Profile</b></h2><div><br>
<div><div>
</div><div>We offer remote work opportunities (AK, AR, AZ, CO, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NE, NV, NM, NC, ND, OK, OR, SC, SD, TN, TX, UT, VA/DC, WA, WI &amp; WY only).</div><div></div><div><br>
Our Department of Defense contract requires US citizenship and a favorably adjudicated DOD background investigation for this position.</div><div></div><div><br>
Veterans, Reservists, Guardsmen and military family members are encouraged to apply!</div><p></p><p><b><br>
Job Summary</b></p><p></p><p>
The Manager of Data Operations is responsible for ensuring the reliability, accuracy, and availability of data across the enterprise. This role leads a team that manages the execution, monitoring, and optimization of data pipelines, analytics workloads, and ad-hoc data requests. The manager serves as a bridge between data engineering, analytics, and business stakeholders to ensure timely, high-quality data delivery for operational and strategic needs.</p><p></p><p><b><br>
Education &amp; Experience</b></p><p></p><div><b>
Required:</b><br>
<br>
<ul><li>Bachelor's degree in Computer Science, Business, or a related field, or equivalent experience</li><li>U.S. Citizen</li><li>Must be able to receive a favorable Interim and adjudicated final Department of Defense (DoD) background investigation</li><li>7+ years of experience in data engineering, analytics operations, or related roles</li><li>3+ years of experience formally leading data teams or managing data operations</li><li>Proficiency with SQL, Python, and at least one modern data platform (Azure, AWS, GCP)</li><li>Strong understanding ETL/ELT tools (ADF, Databricks, Snowflake, Airflow, or similar)</li><li>Strong understanding of BI and analytics tools (Power BI, Tableau, or similar)</li><li>Familiarity with CI/CD, DevOps, and data workflow automation concepts</li><li>Excellent communication skills, with the ability to manage technical and non-technical stakeholders</li></ul></div><div><b>
Preferred:</b><br>
<br>
<ul><li>Experience working in high volume data throughput environment with 24x7 processing</li><li>Experience with Healthcare data</li><li>Experience with Cloud based systems, preferably Azure</li><li>Knowledge of SQLServer and Snowflake</li></ul></div><p></p><p><b><br>
Key Responsibilities</b></p><p></p><div>
Operational Management<br>
<ul><li>Oversee daily data operations, including job execution, monitoring, and incident response across cloud and on-prem platforms.</li><li>Maintain data pipelines that support enterprise reporting, dashboards, and analytics use cases.</li><li>Ensure reliability and timeliness of recurring data loads, extracts, and transformations.</li><li>Manage SLAs and uptime for data delivery across multiple systems and domains. Ad-Hoc Data Support</li><li>Coordinate and prioritize ad-hoc data and reporting requests from business units.</li><li>Ensure proper intake, tracking, and fulfillment of one-off or urgent data needs.</li><li>Partner with Data Engineering and Analytics teams to balance ad-hoc and scheduled workloads.</li><li>Establish repeatable processes to convert frequent ad-hoc requests into automated or self-service solutions. Leadership &amp; Team Development</li><li>Lead a team of data engineers and data analysts.</li><li>Provide mentoring, coaching, and performance management.</li><li>Foster collaboration between Operations, Engineering, and Analytics teams.</li><li>Promote a culture of ownership, reliability, and continuous improvement.</li></ul></div><div>
Process, Automation &amp; Optimization<br>
<ul><li>Implement tools and processes for pipeline orchestration, alerting, and error handling.</li><li>Drive automation to reduce manual effort and improve data delivery efficiency.</li><li>Collaborate with Data Architecture and Governance to enforce standards and best practices.</li><li>Contribute to capacity planning, change control, and release management. Data Quality &amp; Governance</li><li>Partner with Data Governance and Quality teams to ensure accuracy and integrity of critical datasets.</li><li>Develop and enforce operational documentation, runbooks, and escalation processes.</li><li>Support audits, compliance reviews, and data retention policies.</li><li>Performs other duties as assigned.</li><li>Regular and reliable attendance is required.</li><li>As needed, assist with application development.</li></ul></div><p></p><p><b><br>
Competencies</b></p><p></p><p><b>
Communication / People Skills: </b>Ability to influence or persuade others under positive or negative circumstances; adapt to different styles; listen critically; collaborate.</p><p><b>
Computer Literacy: </b>Ability to function in a multi-system Microsoft environment using Word, Outlook, TriWest Intranet, the Internet, and department software applications.</p><p><b>
Creativity / Innovation: </b>Ability to develop unique and novel solutions to problems; view change as necessary.</p><p><b>
Empathy / Customer Service: </b>Customer-focused behavior; helping approach, including listening skills, patience, respect, and empathy for another's position.</p><p><b>
Independent Thinking / Self-Initiative: </b>Critical thinkers with ability to focus on things which matter most to achieving outcomes; commitment to task to produce outcomes without direction and to find necessary resources.</p><p><b>
Leadership: </b>Successfully manage different styles of employees; provide clear direction and effective coaching.</p><p><b>
Organizational Skills: </b>Ability to organize people or tasks, adjust to priorities, learn systems, within time constraints and with available resources; detail-oriented.</p><p><b>
Problem Solving / Analysis: </b>Ability to solve problems through systematic analysis of processes with sound judgment; has a realistic understanding of relevant issues.</p><p><b>
Team-Building / Team Player: </b>Influence the actions and opinions of others in a positive direction and build group commitment.</p><p><b>
Technical Skills: </b>In-depth knowledge of all application functionality, security, development, and system administration; knowledge of relevant technology, tools and middleware; proficient change agent; knowledge of the agile methodology and software maintenance and support.</p><p></p><p><b><br>
Working Conditions</b></p><p></p><div><b>
Working Conditions:</b><br>
<br>
<ul><li>Works non-regular hours as required</li><li>On-call rotation to provide technical support to end users for urgent needs</li><li>Works within a standard office environment, with minimal travel</li><li>Extensive computer work with long periods of sitting</li></ul></div>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Company Overview</b></h2><div><br>
<div><div>
</div><p><b>Taking Care of Our Nation&rsquo;s Heroes.
</b></p><p><b>It&rsquo;s Who We Are. It&rsquo;s What We Do.</b></p><p>
Do you have a passion for serving those who served?
</p><p><b>Join the TriWest Healthcare Alliance Team! We&rsquo;re On a Mission to Serve&reg;!</b></p><p>
Our job is to make sure that America&rsquo;s heroes get connected to health care in the community.
</p><p>At TriWest Healthcare Alliance, we&rsquo;ve proudly been on that important mission since 1996.</p><br>
<p></p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Benefits</b></h2><div><br>
<div><div>
</div><p>We&rsquo;re more than just a health care company. We&rsquo;re passionate about serving others! We believe in rewarding loyal, hard-working people who are willing to learn as they grow. TriWest Healthcare Alliance values teamwork. Join our team, fulfill your responsibilities, and you may also be considered for frequent pay raises, overtime opportunities to earn even more, recognition and reward programs, and much more. Of course, we also offer a comprehensive and progressive compensation and benefits package that includes:</p><ul><li>
Medical, Dental and Vision Coverage</li><li>
Paid time off</li><li>
401(k) Retirement Savings Plan (with matching)</li><li>
Short-term and long-term disability, basic life, and accidental death and dismemberment insurance</li><li>
Tuition reimbursement</li><li>
Paid volunteer time</li></ul><div>
TriWest job postings typically include a salary range, <b>which can vary based on the specific role and location</b>, but generally this position ranges from around $152,000 - $163,000 per year.</div>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Equal Employment Opportunity</b></h2><div><br>
<div><div>
</div><p>TriWest Healthcare Alliance is an equal employment opportunity employer. We are proud to have an inclusive work environment and know that a diverse team is a strength that will drive our success. To that end, TriWest strives to create an inclusive environment that supports diversity at every organizational level, and we highly encourage candidates from all backgrounds to apply. Applicants are considered for positions based on merit and without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other consideration made unlawful by applicable federal, state, or local laws.</p></div></div></div></div></div><p></p>

Manager, Data Operations (Data Analytics & Reporting)

Bosta

<div>
 About Bosta:
 <br/>
 <br/>
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience altogether to provide a one-stop-shop for delivery solutions.
 <br/>
 <br/>
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 <br/>
 <br/>
 <strong>
  Job Summary:
  <br/>
  <br/>
 </strong>
 As the Data Analytics &amp; BI Manager at Bosta, you will be a key leader in our data-driven journey. You will be responsible for leading a team of analysts to transform complex data into actionable insights that drive strategic decisions and optimize our logistics and operations. This role requires a blend of technical expertise, business acumen, and strong leadership to foster a culture of data-informed decision-making across the organization.
 <br/>
 <br/>
 <strong>
  Job Code:
  <br/>
  <br/>
 </strong>
 N - 2026DATA-101
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 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Team Leadership &amp; Development:
  </li>
  <li>
   Lead, mentor, and develop a team of data analysts and BI specialists.
  </li>
  <li>
   Manage the day-to-day activities of the analytics team, including sprint planning and workload prioritization.
  </li>
  <li>
   Strategy &amp; Planning:
  </li>
  <li>
   Develop and implement a comprehensive data analytics and business intelligence strategy that aligns with Bosta's business objectives.
  </li>
  <li>
   Collaborate with senior leadership and department heads to identify and address key business questions with data-driven insights
  </li>
  <li>
   Data Analysis &amp; Visualization:
  </li>
  <li>
   Oversee the creation and maintenance of insightful dashboards and reports using BI tools like Tableau or Power BI.
  </li>
  <li>
   Ensure the timely delivery of high-quality data solutions and ad-hoc analyses to support business needs.
  </li>
  <li>
   Communication &amp; Collaboration:
  </li>
  <li>
   Translate complex data findings into clear and compelling stories for both technical and non-technical audiences.
  </li>
  <li>
   Present insights and recommendations to senior management to support strategic planning and decision-making
  </li>
  <li>
   Additional Duties:
  </li>
  <li>
   Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations
  </li>
  <li>
   Working closely with the planning/performance team
  </li>
  <li>
   Stay updated on emerging trends, tools, and technologies in the field of data analytics
  </li>
  <li>
   Foster a data-driven culture within the organization, promoting the use of data for decision-making at all levels
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  </li>
  <li>
   7+ years of experience in data analytics, business intelligence, or a similar role, with at least 2 years leading a team or management position.
  </li>
  <li>
   Strong proficiency in SQL and experience with database management.
  </li>
  <li>
   Expertise in using BI and data visualization tools such as Tableau,Power BI, or similar
  </li>
  <li>
   Excellent analytical, problem-solving, and critical-thinking skills
  </li>
  <li>
   Strong business acumen and the ability to translate business challenges into data-oriented solutions
  </li>
  <li>
   Exceptional communication and presentation skills.
  </li>
  <li>
   Experience in a fast-paced tech startup or the logistics industry is highly preferred.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Data Analytics & BI Manager

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
We are transforming how merchandising decisions are made through AI-powered solutions and automation. The <b>Data Science Manager &ndash; Micro Space Intelligence</b> plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and Process teams to ingest business requirements and translate them into a scalable technical roadmap, overseeing the development of business rules, AI/ML algorithms, and optimization techniques that accurately reflect merchandising intent. As the technical owner of the solution, this leader designs the end-to-end technical strategy to integrate tools and platforms together into a cohesive, scalable process, ensuring the underlying math, automation logic, and learning systems are sound, efficient, and adaptable.</p><p>
As a people and technical leader, the Data Science Manager leads and mentors a team of data scientists and solution engineers, setting coding standards, QA processes, and deployment best practices to ensure solutions are robust, maintainable, and production-ready. Acting as a trusted technical advisor to Strategy and business partners, this role evaluates proposed initiatives for technical feasibility, identifies advanced analytical and AI opportunities, and translates high-level business goals into impactful automated systems. The role also collaborates closely with fellow Data Science Managers to align approaches, manage talent effectively, and deliver clear, executive-level communication that drives alignment across all levels of the organization.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related technical field.</li><li>
7+ years of industry experience in data science, applied machine learning, or software engineering, and 2+ years in a people or technical leadership role.</li><li>
Strong foundation in applied data science with experience building and maintaining production-grade software, coupled with the ability to set technical direction, establish standards, and drive data science and engineering excellence from concept through production at scale.</li><li>
Hands-on experience developing AI-powered tools and platforms that integrate seamlessly with existing enterprise software ecosystems.</li><li>
Proficiency in python and solid understanding of engineering best practices, including APIs, microservices, version control, CI/CD, testing and deployment.</li><li>
Experience designing and operating large-scale data pipelines and distributed systems with AI/ML components, preferably on cloud platforms such as GCP and VertexAI.</li><li>
Familiar with microservices architectures and deploying models and APIs in containerized, cloud-neutral environments.</li><li>
Familiar with or contributed to AI agents or agentic applications in real-world, production settings.</li><li>
Proven ability to translate complex business processes and strategy into scalable, maintainable architectures, including well-orchestrated data and ML pipelines, while clearly communicating technical constraints and trade-offs to non-technical stakeholders.</li><li>
Domain experience in retail, merchandising, e-commerce, or supply chain, or familiarity in space intelligence concepts such as store layout optimization, merchandising analytics, computer vision, and LLM-based solutions.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
8</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div><p></p>

Data Science Manager - Space Planning Intelligence

Moniepoint

<div><p><b>Who we are</b></p>
<p>
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely.</p>
<p>
Our mission is simple: to enable financial happiness for every African, everywhere. And this is day one. We've grown rapidly in Nigeria and the UK, and we're now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences, solving real, meaningful problems at scale.</p>
<p><b>
Job Purpose</b></p>
<p>
The Data Science Manager (Fraud) leads our fraud decisioning efforts to ensure Moniepoint remains the most trusted financial partner for our users.</p>
<p>
In this role, you'll own the vision and execution of our fraud detection and prevention models. You aren't just building algorithms; you're making real-time decisions that protect millions of customers. You'll lead a team of specialists to create innovative solutions for customer screening, transaction monitoring, and authentication, ensuring our growth is backed by world-class security.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Set the Strategy: Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.</li>
<li>Lead the Team: Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.</li>
<li>Architect Solutions: Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.</li>
<li>Model Mastery: Develop fraud scoring methodologies and build features from high-volume transactional, device, and behavioural data.</li>
<li>Optimise Outcomes: Design and run experiments to improve precision and recall, balancing security with a seamless user experience.</li>
<li>Governance &amp; Integrity: Ensure data quality and the responsible use of models within our regulated environments.</li>
<li>Continuous Monitoring: Keep a pulse on model performance and drift, ensuring our defences evolve as fast as the threats do.</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>6+ years of experience in Data Science, Decision Science, or Fraud Risk, ideally within financial services.</li>
<li>A degree or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, or similar).</li>
<li>Deep knowledge of fraud typologies, financial crime, and the regulatory landscape.</li>
<li>Proficiency in SQL and at least one programming language (Python is our primary tool).</li>
<li>Demonstrated success in building and deploying machine learning models at scale.</li>
<li>Experience leading or mentoring technical teams in a fast-paced environment.</li>
<li>Preferred Qualifications</li>
<li>Experience with A/B testing and experimentation in real-time environments.</li>
<li>Familiarity with churn management and user retention modelling.</li>
<li>Advanced degree (MSc or PhD) in a related quantitative field.</li>
</ul>
<p><b>About you</b></p>
<ul>
<li>You're a systems thinker: You see the patterns in data and know how to turn them into scalable defences.</li>
<li>You have grit: You're comfortable navigating the ambiguity of a high-growth scale-up and driving momentum through continuous improvement.</li>
<li>You value mastery: You're deeply technical but can translate complex analyses into clear, actionable stories for any stakeholder.</li>
<li>You're human-centric: You understand that behind every data point is a person's financial happiness, and you're driven to protect it.</li>
</ul>
<p><b>What Success Looks Like</b></p>
<ul>
<li>Reliable Defences: Our fraud detection systems are highly accurate, maintaining a world-class balance between precision and recall.</li>
<li>Team Growth: Your team feels supported, clear on their progression, and empowered to do their best work.</li>
<li>Seamless Integration: Fraud decision logic is embedded into our products without creating unnecessary friction for our honest users.</li>
<li>Data Integrity: Our models are well-documented, compliant, and consistently monitored for performance and bias.</li>
</ul>
<p><b>What we can offer you</b></p>
<ul>
<li>Culture: We put our people first. We've built a company where all voices are heard and where we value each other as humans.</li>
<li>Learning: We're a knowledge-sharing environment with regular technical talks and a focus on training.</li>
<li>Compensation: You'll receive an attractive salary, pension, health insurance, annual bonus, and other benefits.</li>
</ul>
<p><b>What to expect in the hiring process</b></p>
<ul>
<li>Recruiter Call: A preliminary chat with one of our recruiters.</li>
<li>Take-home Task: A SQL and anomaly detection modelling case study.</li>
<li>Task Review: A session with our Engineering Manager and Head of Data Science.</li>
<li>Technical Interview: A deep dive with the Head of Data Science.</li>
<li>Behavioural Interview: A conversation with our VP of Engineering and a Business Leader.</li></ul></div>

Data Science Manager (Fraud)

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