data analytics engineer

True Classic

<div><p>True Classic is hiring a <b>Data &amp; Analytics Engineer</b> to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.</p><p>
This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices &mdash; including pipeline design, data modeling, testing, and documentation &mdash; and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.</p><p>
All of True Classic&rsquo;s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.</p><p></p><h2 class="jobSectionHeader"><b>
Areas of Accountability</b></h2><p></p><h3 class="jobSectionHeader"><b>
Extend &amp; Maintain the Data Platform</b></h3><ul><li><p>
Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality</p></li><li><p>
Contribute to completion of open data model workstreams across inventory, media, and product functions</p></li><li><p>
Expand data source connectivity and pipeline coverage across marketing and fulfillment systems</p></li><li><p>
Maintain and improve ETL/ELT workflows via Daasity and BigQuery</p></li><li><p>
Help monitor and optimize cloud data infrastructure for cost and performance</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Bridge Data to the Business</b></h3><ul><li><p>
Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders</p></li><li><p>
Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&amp;L</p></li><li><p>
Contribute to predictive models for demand forecasting, inventory planning, and revenue projections</p></li><li><p>
Build and maintain the serving layer that the AI team queries &mdash; clean, modeled BigQuery tables in place of direct API calls</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
AI-Augmented Development</b></h3><ul><li><p>
Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development</p></li><li><p>
Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools</p></li><li><p>
Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Cross Functional Collaboration</b></h3><ul><li><p>
Work with finance to ensure financial data structures support forecasting and P&amp;L reporting needs</p></li><li><p>
Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications</p></li><li><p>
Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li><p>
4+ years of experience in data engineering or analytics engineering</p></li><li><p>
Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation</p></li><li><p>
Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development</p></li><li><p>
Strong SQL skills including joins, window functions, and CTEs</p></li><li><p>
Python proficiency for pipeline scripting, API integrations, and light modeling</p></li><li><p>
Familiarity with statistical modeling and predictive analytics (regression, time series)</p></li><li><p>
Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations</p></li><li><p>
Proficiency with AI coding tools &mdash; daily use expected</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
NetSuite or ERP experience</p></li><li><p>
Daasity, Shopify/Amazon data</p></li><li><p>
Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),</p></li><li><p>
Omni/Looker, GitHub-based workflows</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Workplace Arrangement</b></h2><p>
This role is on-site (5x week in office) based in Calabasas, CA.</p><p></p><h2 class="jobSectionHeader"><b>
Compensation and Benefits</b></h2><p></p><h3 class="jobSectionHeader"><b>
Compensation</b></h3><ul><li><p>
Competitive Salary + bonus</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Time Off</b></h3><ul><li><p>
Unlimited PTO and sick time</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Health &amp; Wellness</b></h3><ul><li><p>
Company-paid medical, dental, and vision insurance</p></li><li><p>
$100/month Health &amp; Wellness stipend</p></li><li><p>
Free Employee Assistance Program (EAP)</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Work &amp; Growth Support</b></h3><ul><li><p>
$100/month Personal Workspace/Office stipend</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Perks</b></h3><ul><li><p>
$1,000/year True Classic merchandise allowance</p></li><li><p>
401(k) plan with 3% company match</p></li></ul></div>

Data & Analytics Engineer

Wells Fargo

<div><p><b>Description</b></p><p><b>
Title</b><b>:</b>Data Analytics Engineer</p><p><b>
Location</b><b>: </b>Chandler, AZ</p><p><b>
Duration</b><b>: </b>104 W, 2 D
</p><p><b>Work Engagement</b><b>: </b>W2</p><p><b>
Work Schedule</b>: Hybrid 3 days in office/2 days remote</p><p><b>
Benefits on offer for this contract position</b>: Health Insurance, Life insurance, 401K and Voluntary Benefits</p><p><b>
Summary:</b></p><p>
In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Business Execution and contribute to large-scale planning related to Business Execution deliverables. Review and analyze moderately complex Business Execution challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Business Execution deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Business Execution. Required Qualifications: Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
</p><p><b>Key Requirements:</b></p><ul><li>Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.</li><li>Design and maintain Power BI dashboards that deliver actionable insights for technology, risk, and governance stakeholders.</li><li>Develop and optimize SQL queries for data extraction, analysis, validation, and reporting.</li><li>Automate data extraction, transformation, and reporting processes using Power Query and ETL methodologies.</li><li>Partner with stakeholders to gather requirements and translate business needs into effective technical solutions.</li><li>Analyze complex data sets to identify trends, risks, opportunities, and process improvements.</li><li>Create and manage user stories, requirements, and development activities within Jira for ServiceNow development.</li><li>Provide ongoing support, enhancements, and continuous improvement for reporting and analytics solutions.</li></ul><ul><li><p>
PowerBI development</p></li><li><p>
Github,</p></li><li><p>
SQL Query,</p></li><li><p>
Data visualization</p></li></ul></div><p></p>

Data Analytics Engineer (contract)

State of Minnesota - Minnesota IT Services

<p></p><div><h2 class="jobSectionHeader"><b>Job Details</b></h2><p></p><p><b>
Working Title: Data Analytics Engineer</b><br>
<b>Job Class: Information Technology Specialist 4</b><br>
<b>Agency: Minnesota IT Services</b></p><ul><li><b>
Job ID</b>: 95411</li><li><b>
Location</b>: St. Paul
</li><li><b>Telework Eligible</b>: Yes #LI-Hybrid</li><li><b>
Full/Part Time</b>: Full-Time</li><li><b>
Regular/Temporary</b>: Unlimited</li><li><b>
Who May Apply</b>: Open to all qualified job seekers</li><li><b>
Date Posted</b>: 07/10/2026</li><li><b>
Closing Date</b>: 07/16/2026</li><li><b>
Hiring Agency/Seniority Unit</b>: Minnesota IT Services</li><li><b>
Division/Unit</b>: Department of Corrections (DOC)</li><li><b>
Work Shift/Work Hours</b>: Day Shift</li><li><b>
Days of Work</b>: Monday - Friday</li><li><b>
Travel Required</b>: No</li><li><b>
Salary Range: </b>$37.72 - $62.21 / hourly; $78,759 - $129,894 / annually</li><li><b>
Job Class Option</b>: Data Systems</li><li><b>
Classified Status</b>: Classified</li><li><b>
Bargaining Unit/Union</b>: 214 - MN Assoc of Professional Empl/MAPE</li><li><b>
FLSA Status</b>: Exempt - Professional</li><li>
Designated in Connect 700 Program for Applicants with Disabilities: Yes</li></ul><h3 class="jobSectionHeader"><b>
The work you'll do is more than just a job.</b></h3><p>
At the State of Minnesota, employees play a critical role in developing policies, providing essential services, and working to improve the well-being and quality of life for all Minnesotans. The State of Minnesota is committed to equity and inclusion, and invests in employees by providing benefits, support resources, and training and development opportunities.</p><div>
Join the 2,800+ professionals of Minnesota IT Services (MNIT) who connect Minnesotans to services that will improve their lives. This position serves our partners at the Department of Corrections (DOC). The MNIT DOC team runs many unique applications that manage the information and security of the department, supporting 4,500 employees across 10 prisons and 50 field offices located throughout the state.</div>
<p></p><h2 class="jobSectionHeader"><b>Job Summary</b></h2><p></p><div>
As a the Data Analytics Engineer with Minnesota IT Services (MNIT) supporting the Department of Corrections (DOC), you will play a key role in shaping and advancing the strategic foundation for analytics and reporting to solve complex business challenges. You will apply advanced professional expertise in analyzing, designing, developing, implementing, and supporting the administration, maintenance, and security of data within modern database platforms, helping the Minnesota Department of Corrections realize its vision of managing data as a strategic asset.
</div><div></div><div><b>This position is telework eligible for applicants who reside in Minnesota or in a bordering state, with supervisory approval and satisfactory performance. If you live in a state bordering Minnesota, you must live within 50 miles of less from the primary work location to be eligible for telework. </b><b>Telework</b><b> arrangements and policy updates may be adjusted based on business needs.</b>
</div><p></p><h2 class="jobSectionHeader"><b>Qualifications</b></h2><p></p><h3 class="jobSectionHeader"><b>
Minimum Qualifications</b></h3><div><b>
To qualify, candidates must clearly show all of the following qualifications in their resume. Resume tips available </b><b>here</b><b>:
</b></div><div></div><div>Position requires a minimum of four (4) years of IT related experience in business intelligence or data analytics.</div><div>
</div><div>Experience must include:</div><ul><li>
Azure tech stack like Azure Data Factory, Synapse, Fabric, Power BI.</li><li>
Strong knowledge of DAX and Power Query for data modeling and transformations.</li><li>
Experience connecting Power BI to multiple data sources (SQL Server, Azure, APIs, Excel, SharePoint, etc.)</li><li>
Strong SQL for analyzing the data and experience with data modeling and database design.</li><li>
Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud).</li><li>
Demonstrated ability to communicate clearly and effectively in a manner that facilitates mutual understanding.
</li><li>Customer-focused approach grounded in active listening, empathy, and solution-oriented problem-solving to deliver positive user experiences.
</li></ul><h3 class="jobSectionHeader">Education in Information Technology (IT) or an IT related field may substitute for experience as follows: a master&rsquo;s degree for eighteen (18) months of experience; a bachelor&rsquo;s degree for one (1) year; and an associate&rsquo;s degree for six (6) months.</h3><h3 class="jobSectionHeader"><b>
Strongly Preferred Qualifications</b></h3><ul><li>
Familiarity with data security concepts, including row-level security in Power BI.</li><li>
Ability to design interactive dashboards that provide actionable insights for business users.</li><li>
Strong analytical and problem-solving skills.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Understanding of data modeling, ETL processes, and data visualization best practices.
</li><li>Knowledge of Python/R for advanced analytics.</li><li>
Effective communication, presentation, active listening and interpersonal skills to lead others in the establishment of business intelligence and analytics.</li></ul><h3 class="jobSectionHeader"><b>
Additional Requirements</b></h3><div>
It is the policy of Minnesota IT Services that a successful candidate must pass all legally required check prior to employment which may consist of the following:</div><ul><li>
SEMA4 Records Checks (applies to current and past state employees only)</li><li>
Criminal History Check</li><li>
Reference Check</li><li>
Social Security and Address Verification</li><li>
Education Verification
</li><li>CJIS Background Check
</li><li>DOC Background Check
</li><li>Other legally required checks</li></ul><h3 class="jobSectionHeader"><b>
Minnesota IT Services does not participate in E-Verify. Minnesota IT Services will not sponsor applicant for work visas, including F-1 STEM OPT extensions. Minnesota IT Services is not able to complete Form I-983 or any other form that requires that the employer certifying to using E-Verify. All applicants must be legally authorized to work in the United States.</b></h3>
<p></p><h2 class="jobSectionHeader"><b>Application Details</b></h2><p></p><h3 class="jobSectionHeader"><b>
How to Apply</b><b>
</b></h3><p>Select &ldquo;Apply for Job&rdquo; at the top of this page. If you have questions about applying for jobs, contact the Careers Help Desk at 651-259-3637 or email careers@state.mn.us. For additional information about the application process, go to http://www.mn.gov/careers.</p><h3 class="jobSectionHeader"><b>
Contact</b></h3><p>
If you have questions about this position, contact workwithmnit@state.mn.us.</p><div><b>
Connect 700 Program</b>
</div><p>To receive consideration as a Connect 700 Program applicant, apply online, email the Job ID#, the Working Title and your valid Proof of Eligibility Certificate by the closing date to workwithmnit@state.mn.us.</p><div><b>
Veterans</b>
</div><div></div><div><b>To be considered for any </b><b>Veteran's Status</b><b>, you MUST indicate this on your application.
</b></div><div></div><div>RECENTLY SEPARATED VETERANS (RSV): Effective July 1, 2009, legislation provides that the top five RSV applicants who apply and meet the qualifications for a vacancy shall be granted an interview. You must:
</div><ul><li>Meet all Minimum Qualifications identified in this posting.
</li><li>Meet all of the RSV criteria.
</li><li>Submit a copy of your DD-214 form by the closing date to: workwithmnit@state.mn.us.
</li></ul><div>CERTAIN DISABLED VETERANS: Effective August 1, 2012, legislation provides state agencies with the option to appoint certain disabled veterans on a noncompetitive basis if you:
</div><ul><li>Meet service requirements and have a verified service-connected disability rating of at least 30%.
</li><li>Provide qualifying documentation verifying the disability.
</li><li>Meet all Minimum Qualifications identified in this posting.
</li><li>You must submit all documentation by the closing date to: workwithmnit@state.mn.us.
</li></ul><div><b>Current State Employees
</b></div><ul><li>Bidders: This vacancy is open for bids and all qualified applicants simultaneously. This vacancy will be filled in accordance with applicable union contract provisions. Current employees of Minnesota IT Services who are currently in an <b>Information Technology Specialist 4/</b> <b>Data Systems </b>position and who are eligible to bid and apply within the seven (7) day bidding period will be considered prior to filling the position via other means.
</li><li>Current State Employees: Please note that employment provisions (including but not limited to seniority and leave accrual) vary among the three branches of Minnesota State government. When considering a job with another branch of state government, you are highly encouraged to explore these differences. For assistance, please direct questions to your current or anticipated Human Resources office.</li></ul><h3 class="jobSectionHeader"><b>
About Minnesota IT Services</b><b>
</b></h3><div>Minnesota IT Services is the information technology agency for the State of Minnesota. MNIT partners with agencies, boards, councils, and commissions to deliver secure, reliable technology solutions as we set IT strategy, direction, policies, and standards statewide. Work for MNIT and be part of a nation-leading IT organization that helps to create an innovative government that works for everyone. Our culture promotes collaboration, demands agility, and encourages us to embrace change. Be a part of something bigger than yourself, something to be inspired by; come to work for MNIT.
</div><h4 class="jobSectionHeader"><b>Working together to improve the state we love.
</b></h4><p>What do Minnesota's State employees have in common?
</p><ul><li>A sense of purpose in their work</li><li>
Connection with their coworkers and communities</li><li>
Opportunities for personal and professional growth</li></ul><h4 class="jobSectionHeader"><b>
Benefits</b><b>
</b></h4><p>As an employee, you'll have access to one of the most affordable health insurance plans in Minnesota, along with other benefits to help you and your family be well.</p><h4 class="jobSectionHeader"><b>
Your benefits may include:</b><b>
</b></h4><ul><li>Paid vacation and sick leave
</li><li>12 paid holidays each year
</li><li>Low-cost medical, dental, vision, and prescription drug plans
<ul><li>Fertility care, including IVF</li><li>
Diabetes care</li><li>
Dental and orthodontic care for adults and children
</li></ul></li><li>6 weeks paid leave for parents of newborn or newly adopted children</li><li>
Pension plan that provides income when you retire (after working at least three years)</li><li>
Employer paid life insurance to provide support for your family in the event of death</li><li>
Short-term and long-term disability insurance that can provide income if you are unable to work due to illness or injury</li><li>
Tax-free expense accounts for health, dental, and dependent care
</li><li>Resources that provide support and promote physical, emotional, social, and financial well-being</li></ul><h4 class="jobSectionHeader"><b>
Support to help you reach your career goals:</b></h4><ul><li>
Training, classes, and professional development</li><li>
Tuition reimbursement
</li><li>Federal Public Service Loan Forgiveness Program (Some positions may qualify for the Public Service Loan Forgiveness Program. For more information, visit the Federal Student Aid website at studentaid.gov)</li></ul><h4 class="jobSectionHeader"><b>
Employee Assistance Program (EAP) for work/life support:</b></h4><ul><li>
A voluntary confidential program that helps employees and their families with life challenges that may impact overall health, personal well-being, or job performance</li><li>
Common sources of stress can be addressed through the EAP: mental health, relationship challenges (personal and work), grief and loss, finances, and legal issues</li><li>
Daily Living/Convenience Services: Chore services, home repair, trip planning, child/elder care</li></ul><p></p><p><b>
Programs, resources and benefits eligibility varies</b> based on type of employment, agency, funding availability, union/collective bargaining agreement, location, and length of service with the State of Minnesota.
</p><p></p><p><b>EQUAL OPPORTUNITY EMPLOYERS</b><b>
</b></p><p>Minnesota state agencies are equal opportunity, affirmative action, and veteran-friendly employers. State agencies are committed to creating a workforce that reflects the diversity of the state and strongly encourages persons of color and Indigenous communities, members of the LGBTQIA2S+ community, individuals with disabilities, women, and veterans to apply. The varied experiences and perspectives of employees strengthen the work we do together and our ability to best serve Minnesotans.</p><p>
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex (including pregnancy, childbirth, and disabilities related to pregnancy or childbirth), gender identity, gender expression, marital status, familial status, age, sexual orientation, status regarding public assistance, disability, veteran status or activity in a local Human Rights Commission or any other characteristic protected by law.</p><p><b>
APPLICANTS WITH DISABILITIES</b></p><p>
Minnesota state agencies make reasonable accommodations to their employees and applicants with disabilities. If you have a disability and need assistance in searching or applying for jobs with the State of Minnesota, call the Careers Help Desk at 651-259-3637 or email careers@state.mn.us and let us know the support you need.</p></div>

Data Analytics Engineer - ITS4

BillGO, Inc.

<div><p><b>Senior AI Data Analytics Engineer
</b></p><p>BillGO is building the next generation of payments &mdash; an intelligent network that helps small businesses get paid faster, operate leaner, and grow with confidence. The Senior AI Data Analytics Engineer sets the technical direction for BillGO's data and AI architecture, turning payments data into reliable, scalable, and intelligent products the rest of the organization builds on. Reporting to the VP, Data Office, this role sits at the intersection of data engineering, analytics, AI/ML, and the business. It's an individual-contributor role with no direct reports &mdash; leadership is exercised through architecture, standards, and mentorship, not people management. Success is measured by the reliability, reuse, and trustworthiness of BillGO's data and AI products, not the volume of models or dashboards produced.</p><div>
</div><p><b>Why This Role Matters</b></p><p>
BillGO's future runs on trustworthy data, and this role owns making sure it stays that way as the company scales. As the architect of the data models, semantic layers, and AI/RAG patterns that Product, Finance, Risk, and Operations all build on, this person turns scattered payments data into a single source of truth - while setting the validation standards that keep AI-generated insights accurate before they ever reach a decision-maker. It's an individual contributor role with outsized reach: get it right, and BillGO moves faster with more confidence - faster reconciliation, fewer fraud losses, and self-service, AI-powered insight in the hands of every team instead of just a few.</p><p><b>
 </b><b>What You&rsquo;ll Do</b></p><p><b>
Data &amp; AI Architecture</b></p><ul><li>
Own the architecture and roadmap for scalable data models covering customers, payments, transactions, settlements, and financial reporting</li><li>
Architect solutions across Snowflake, AWS RDS, and AWS DynamoDB, integrating sources from AWS S3</li><li>
Lead the design of data dictionaries, semantic layers, and data catalogs that power both human and AI-driven analytics</li></ul><p><b>
Data Quality, Governance &amp; Standards</b></p><ul><li>
Set and evangelize engineering standards, patterns, and best practices, and drive their adoption across the organization</li><li>
Establish frameworks for data quality and integrity through testing, monitoring, and documentation</li><li>
Support regulatory and financial reporting needs &mdash; reconciliation, audit readiness &mdash; with accurate, well-governed data</li></ul><p><b>
Business Partnership &amp; Enablement</b></p><ul><li>
Partner with senior leaders across Product, Finance, Risk, and Operations to define key metrics and enable insights, dashboards, and predictive models</li><li>
Translate ambiguous business strategy into data and AI solutions that scale with company growth</li><li>
Put AI-powered, self-service insights in the hands of every team</li></ul><p><b>
Technical Leadership &amp; Mentorship</b></p><ul><li>
Set technical direction that improves visibility into payment performance and revenue drivers</li><li>
Mentor and coach engineers through design reviews, pairing, and code review</li><li>
Coach the team on using AI coding and analytics assistants to accelerate development and documentation</li><li><b>How You'll Use AI</b></li></ul><p>
This role treats AI as core infrastructure, not a side project. You'll apply generative AI and large language models (e.g., Claude) to accelerate data transformation, documentation, and metric definition, and to enable natural-language access to enterprise data. You'll architect retrieval-augmented generation (RAG) and semantic search over enterprise data so trusted datasets are easily discoverable and queryable by both humans and AI systems. You'll design, build, and operationalize AI/ML workflows &mdash; from feature engineering to LLM-powered pipelines &mdash; that turn analytics into predictions and automation. And because AI-generated insight is only as good as its validation, you'll establish the responsible AI practices &mdash; around bias, hallucination, and data privacy &mdash; that ensure AI outputs are checked before they influence a financial decision. You'll also coach the broader team on using AI coding and analytics assistants to work faster and document better.</p><p></p><p><b>
 </b><b>What You Bring</b></p><ul><li>
5+ years in analytics engineering, data analytics, or data engineering, including senior or lead responsibilities</li><li>
Expert SQL and data analytics skills, with proven ability to model complex datasets (fact/dimension modeling, star schemas) and design data architecture end to end</li><li>
Deep experience with data warehousing (Snowflake) and transformation frameworks like Coalesce, including establishing team conventions</li><li>
Experience building and owning metrics layers or semantic models used across multiple teams</li><li>
Strong command of ELT pipelines, data orchestration, and Python for data processing and automation</li><li>
Extensive hands-on experience applying generative AI and LLMs to real data and analytics problems in production</li><li>
Strong experience with RAG, embeddings, and vector databases, plus a solid ML and MLOps foundation</li><li>
A track record of technical leadership and mentorship, with a critical eye for data accuracy and AI-generated results</li><li>
Payments, fintech, financial services, or enterprise SaaS experience strongly preferred</li><li>
Skill at influencing and communicating with senior technical and non-technical stakeholders</li><li>
Nice to have: advanced data science/ML experience, LLM fine-tuning or benchmarking, agentic AI workflows, event-driven or streaming architectures, and hands-on knowledge of payments concepts like authorization/settlement, interchange, chargebacks, and reconciliation.</li></ul><p><b>
 </b><b>Compensation</b></p><div>
</div><p>We offer a competitive executive compensation package, including:</p><ul><li>
Base salary ($132,800 - $196,500)</li><li>
Performance incentive</li><li>
Equity opportunities
</li><li>Comprehensive health, retirement, and lifestyle benefits</li></ul><p>
This role is about more than compensation, it&rsquo;s about the opportunity to transform how small businesses thrive in the digital economy.</p></div><p></p>

Senior AI Data Analytics Engineer

Datamatics Technologies

<div>
 Job Description: Data Science &amp; Analytics Engineer
 <p>
  <strong>
   Job Title:
  </strong>
  Data Science &amp; Analytics Engineer
  <br/>
  <strong>
   Experience:
  </strong>
  3&ndash;11 Years
  <br/>
  <strong>
   Location:
  </strong>
  <u>
   <strong>
    Riyadh - Onsite
    <br/>
   </strong>
  </u>
  <strong>
   Employment Type:
  </strong>
  Full-Time
 </p>
 Job Overview
 <p>
  We are looking for a talented
  <strong>
   Data Science &amp; Analytics Engineer
  </strong>
  with
  <strong>
   3&ndash;11 years of experience
  </strong>
  to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 </p>
 Key Responsibilities
 <ul>
  <li>
   Design, develop, and deploy predictive and analytical models to solve business problems
  </li>
  <li>
   Perform data exploration, statistical analysis, feature engineering, and model evaluation
  </li>
  <li>
   Build interactive dashboards, reports, and visualizations for business stakeholders
  </li>
  <li>
   Develop scalable data analytics solutions using modern cloud and big data platforms
  </li>
  <li>
   Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
  </li>
  <li>
   Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
  </li>
  <li>
   Ensure data quality, governance, and best practices across analytics initiatives
  </li>
  <li>
   Present analytical findings and recommendations to technical and non-technical audiences
  </li>
  <li>
   Continuously improve analytics processes, reporting capabilities, and model performance
  </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
  <li>
   Strong proficiency in
   <strong>
    Python or R
   </strong>
   for data analysis, statistical modeling, and machine learning
  </li>
  <li>
   Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
  </li>
 </ul>
 Data Science Platforms
 <ul>
  <li>
   Hands-on experience with
   <strong>
    Databricks or Dataiku
   </strong>
   for data science, machine learning, and collaborative analytics
  </li>
  <li>
   Experience developing end-to-end analytical workflows and model deployment
  </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
  <li>
   Strong experience with
   <strong>
    Power BI or Tableau or Looker
   </strong>
   for dashboard development and data visualization
  </li>
  <li>
   Ability to create interactive reports and executive-level dashboards
  </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
  <li>
   Experience with
   <strong>
    BigQuery or Snowflake
   </strong>
   for large-scale analytics and data warehousing
  </li>
  <li>
   Strong understanding of SQL, data modeling, and analytical query optimization
  </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
  <li>
   Experience with statistical analysis, forecasting, classification, clustering, and regression models
  </li>
  <li>
   Familiarity with machine learning libraries and model evaluation techniques
  </li>
 </ul>
 Qualifications
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
  </li>
  <li>
   <strong>
    3&ndash;11 years
   </strong>
   of professional experience in Data Science, Business Analytics, or Advanced Analytics
  </li>
  <li>
   Strong analytical, mathematical, and problem-solving skills
  </li>
  <li>
   Excellent communication and presentation skills
  </li>
  <li>
   Experience working in Agile/Scrum environments
  </li>
 </ul>
 Preferred Skills
 <ul>
  <li>
   Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
  </li>
  <li>
   Knowledge of MLOps, model deployment, and AI-driven analytics
  </li>
  <li>
   Experience with ETL/ELT processes and data engineering concepts
  </li>
  <li>
   Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
  </li>
  <li>
   Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
  </li>
 </ul>
 Key Technology Stack
 <ul>
  <li>
   <strong>
    Programming Languages:
   </strong>
   <strong>
    Python or R
   </strong>
  </li>
  <li>
   <strong>
    Data Science Platforms:
   </strong>
   <strong>
    Databricks or Dataiku
   </strong>
  </li>
  <li>
   <strong>
    Business Intelligence:
   </strong>
   <strong>
    Power BI or Tableau or Looker
   </strong>
  </li>
  <li>
   <strong>
    Data Warehouse:
   </strong>
   <strong>
    BigQuery or Snowflake
   </strong>
  </li>
  <li>
   <strong>
    Analytics:
   </strong>
   Statistical Analysis
   <strong>
    and
   </strong>
   Predictive Modeling
   <strong>
    and
   </strong>
   Machine Learning
   <strong>
    and
   </strong>
   Data Visualization
  </li>
  <li>
   <strong>
    Cloud Platforms:
   </strong>
   <strong>
    AWS or Microsoft Azure or Google Cloud Platform
   </strong>
   (Preferred)
  </li>
 </ul>
</div>


Data Science & Analytics Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description: Data Science &amp; Analytics Engineer</b></h1><p><b>
Job Title:</b> Data Science &amp; Analytics Engineer<br>
<b>Experience:</b> 3&ndash;11 Years<br>
<b>Location:</b><b>Riyadh - Onsite</b><br>
<b>Employment Type:</b> Full-Time</p><h2 class="jobSectionHeader"><b>
Job Overview</b></h2><p>
We are looking for a talented <b>Data Science &amp; Analytics Engineer</b> with <b>3&ndash;11 years of experience</b> to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design, develop, and deploy predictive and analytical models to solve business problems.</li><li>
Perform data exploration, statistical analysis, feature engineering, and model evaluation.</li><li>
Build interactive dashboards, reports, and visualizations for business stakeholders.</li><li>
Develop scalable data analytics solutions using modern cloud and big data platforms.</li><li>
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.</li><li>
Analyze structured and unstructured datasets to identify trends, patterns, and opportunities.</li><li>
Ensure data quality, governance, and best practices across analytics initiatives.</li><li>
Present analytical findings and recommendations to technical and non-technical audiences.</li><li>
Continuously improve analytics processes, reporting capabilities, and model performance.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><h3 class="jobSectionHeader"><b>
Programming &amp; Data Science</b></h3><ul><li>
Strong proficiency in <b>Python or R</b> for data analysis, statistical modeling, and machine learning.</li><li>
Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics.</li></ul><h3 class="jobSectionHeader"><b>
Data Science Platforms</b></h3><ul><li>
Hands-on experience with <b>Databricks or Dataiku</b> for data science, machine learning, and collaborative analytics.</li><li>
Experience developing end-to-end analytical workflows and model deployment.</li></ul><h3 class="jobSectionHeader"><b>
Business Intelligence &amp; Visualization</b></h3><ul><li>
Strong experience with <b>Power BI or Tableau or Looker</b> for dashboard development and data visualization.</li><li>
Ability to create interactive reports and executive-level dashboards.</li></ul><h3 class="jobSectionHeader"><b>
Data Warehousing &amp; Analytics</b></h3><ul><li>
Experience with <b>BigQuery or Snowflake</b> for large-scale analytics and data warehousing.</li><li>
Strong understanding of SQL, data modeling, and analytical query optimization.</li></ul><h3 class="jobSectionHeader"><b>
Analytics &amp; Machine Learning</b></h3><ul><li>
Experience with statistical analysis, forecasting, classification, clustering, and regression models.</li><li>
Familiarity with machine learning libraries and model evaluation techniques.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.</li><li><b>
3&ndash;11 years</b> of professional experience in Data Science, Business Analytics, or Advanced Analytics.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Excellent communication and presentation skills.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Skills</b></h2><ul><li>
Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Knowledge of MLOps, model deployment, and AI-driven analytics.</li><li>
Experience with ETL/ELT processes and data engineering concepts.</li><li>
Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage.</li><li>
Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Key Technology Stack</b></h2><ul><li><b>
Programming Languages:</b> <b>Python or R</b></li><li><b>
Data Science Platforms:</b> <b>Databricks or Dataiku</b></li><li><b>
Business Intelligence:</b> <b>Power BI or Tableau or Looker</b></li><li><b>
Data Warehouse:</b> <b>BigQuery or Snowflake</b></li><li><b>
Analytics:</b> Statistical Analysis <b>and</b> Predictive Modeling <b>and</b> Machine Learning <b>and</b> Data Visualization</li><li><b>
Cloud Platforms:</b> <b>AWS or Microsoft Azure or Google Cloud Platform</b> (Preferred)</li></ul><p>
</p><p>mLBuPrYFSv</p></div>

Peraton

<div><div><h5 class="jobSectionHeader"><b>About Peraton</b></h5>
<p>Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p>
</div><div><h5 class="jobSectionHeader"><b>About The Role</b></h5>
<div><p>The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This role is critical to the development, testing, and fielding of advanced survivability systems that protect Army aviators and rotary-wing aircraft from emerging global threats.</p>
<p>The successful candidate will leverage deep technical expertise in engineering, physics, optics, and statistical analysis to evaluate sensor performance, countermeasure effectiveness, and overall system reliability. This role requires extensive travel to government test ranges, contractor facilities, and military installations to actively participate in test events, oversee data collection, and provide analytical and forensic insights to inform decision-makers.</p>
<p>Key Responsibilities</p>
<ul><li>Data Analysis &amp; Modeling: Perform rigorous statistical data analysis on complex datasets derived from lab, flight, and field testing of ASE systems (e.g., missile warning systems, laser detection systems, and infrared countermeasures).</li>
<li>Physics &amp; Optics Application: Apply principles of physics and optics to evaluate the performance of electro-optical/infrared (EO/IR) sensors, laser warning receivers, and directed energy countermeasures against simulated and live threats.</li>
<li>Test &amp; Evaluation Support: Travel to support developmental and operational testing. Ensure data collection methodologies are sound and that data pipelines from test events are established and maintained.</li>
<li>Algorithm Evaluation: Analyze and validate threat detection algorithms, tracking software, and countermeasure dispensing logic using historical and newly collected test data.</li>
<li>Reporting &amp; Visualization: Develop data visualization dashboards and comprehensive technical reports to communicate system performance, anomalies, and risk assessments to PM ASE leadership and stakeholders.
</li><li>Cross-Functional Collaboration: Work closely with systems engineers, flight test crews, software developers, and industry partners to translate data insights into actionable system improvements.</li>
</ul></div></div><div><h5 class="jobSectionHeader"><b>Qualifications</b></h5>
<div><ul><li>Education: Bachelor of Science (B.S.) or higher degree in Engineering (e.g., Aerospace, Electrical, Optical, Systems, or a closely related discipline) from an ABET-accredited institution + 2 years of experience.</li>
<li>Clearance: Active Secret or the ability to receive Secreat Clearance.</li>
<li>Technical Skills: Proficiency with data analysis and scientific computing tools (e.g., Python, MATLAB, R, or similar) to process large datasets, perform statistical modeling, and generate data visualizations.</li>
<li>Travel Capability: Must be willing and able to travel to support nationwide test events, often in remote field environments.</li>
<li>Communication: Excellent written and verbal communication skills, with the ability to distill complex mathematical and physical concepts into clear, actionable briefings for leadership.</li>
</ul></div></div><div><h5 class="jobSectionHeader"><b>Details</b></h5>
<div><p><b>Target Salary Range:</b> $80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.</p>
</div><div><p><b>Benefits Statement:</b> Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.</p>
</div><div><p><b>Application Statements:</b> The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.</p>
</div><p><b>EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

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