analytics engineer

ClinDCast LLC

<div><div><div>Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems &amp; Modeling) 
 
Required Skills: 
Capacity modeling (OEE, cycle time, bottleneck analysis) 
Labor &amp; cost modeling (COGS, LOH, ROI, NPV, IRR) 
Manufacturing analytics &amp; process optimization 
Simulation tools: FlexSim, AnyLogic, or Simio 
Advanced Excel, SQL, Python, Power BI/Tableau 
PFEP, material flow modeling, forecasting &amp; scenario analysis 
AI/ML-based analytics (preferred) 
Experience: 
7+ years in industrial engineering analytics/manufacturing modeling 
Expertise in capacity, labor, and cost modeling 
Strong factory operations, throughput optimization, and cost analysis experience 
Experience with MES, shop-floor data integration, and business case development 
Looking for strong technical SMEs with hands-on manufacturing analytics and modeling expertise.</div></div></div>

Industrial Engineering Analytics Engineer

Under Armour

<div>
 
 Values &amp; Innovation
 
 
 
 At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.
 
 
 Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.
 
 
 Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.
 
 
 If you are a current Under Armour teammate, apply to this position on the
 
 Internal Career Site Here.
 
 
 
 
 Purpose of Role
 
 
 
 Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management &amp; Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation &amp; AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions.
 
 
 
 Your Impact
 
 
 
 
 Data Engineering &amp; Architecture
 
 
 
 <ul>
 <li>
 Lead data model design, semantic layer definition, and scalable ELT architecture.
 </li>
 <li>
 Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.
 </li>
 <li>
 Build high-quality analytical datasets and visualization-optimized data structures.
 
 
 </li>
 </ul>
 
 Quality, CI/CD &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Own CI/CD deployment pipelines and release management processes.
 </li>
 <li>
 Drive engineering best practices include testing, observability, modular modeling, and documentation.
 </li>
 <li>
 Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.
 </li>
 <li>
 Lead root-cause analysis and long-term fixes for complex data issues.
 
 
 </li>
 </ul>
 
 Leadership &amp; Collaboration
 
 
 
 <ul>
 <li>
 Mentor junior engineers and uplift engineering maturity across squads.
 </li>
 <li>
 Facilitate stakeholder sessions to translate business requirements into scalable data products.
 </li>
 <li>
 Influence architectural decisions and emerging-technology adoption.
 </li>
 <li>
 Partners across EDMA, AI/Automation, Platform, and Governance teams.
 </li>
 <li>
 Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions.
 
 
 </li>
 </ul>
 
 AI Enablement
 
 
 
 <ul>
 <li>
 Apply Generative AI tools to streamline development workflows and enhance product quality.
 </li>
 <li>
 Contribute to the design of AI-enabled automation solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.
 </li>
 <li>
 Expert SQL abilities with mastery in complex data transformation patterns.
 </li>
 <li>
 Deep expertise in data modeling, ELT design, and enterprise data architecture.
 </li>
 <li>
 Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.
 </li>
 <li>
 4+ Years of experience with Tableau or similar analytics platforms.
 </li>
 <li>
 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.
 </li>
 <li>
 2+ Years of experience &amp; strong background in CI/CD engineering best practice.
 </li>
 <li>
 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
 </li>
 <li>
 Advanced Python for automation, orchestration, and engineering workflows.
 </li>
 <li>
 Working knowledge of automation tools (e.g., Elementum).
 </li>
 <li>
 Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.
 </li>
 <li>
 Generative AI applies responsibly to accelerate development and improve quality.
 </li>
 <li>
 Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
 </li>
 <li>
 Skilled at bridging the gap between technical depth and business clarity through impactful communication.
 
 
 </li>
 </ul>
 
 Workplace Location
 
 
 
 <ul>
 <li>
 Location: This individual must reside within commuting distance from our Baltimore HQ office.
 </li>
 <li>
 Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required
 </li>
 <li>
 Travel: Minimal
 </li>
 <li>
 Licenses/Certifications: N/A
 </li>
 <li>
 Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.
 
 
 </li>
 </ul>
 #REMOTE
 
 
 #HYBRID
 
 
 
 Relocation
 
 
 
 <ul>
 <li>
 No relocation provided
 
 
 </li>
 </ul>
 
 Base Compensation
 
 
 
 $125,000.00-$165,000.00 USD
 
 
 Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.
 
 
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
 </li>
 <li>
 Under Armour Merchandise Discounts
 </li>
 <li>
 Competitive 401(k) plan matching
 </li>
 <li>
 Maternity and Parental Leave for eligible and FMLA-eligible teammates
 </li>
 <li>
 Health &amp; fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
 
 
 </li>
 </ul>
 
 Our Commitment to Equal Opportunity
 
 
 
 At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.
 
 
</div>

Sr. Data Analytics Engineer

Deloitte

<div>
 
 Senior Data &amp; Analytics Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 The team sits within AI &amp; Data consulting group. You&rsquo;ll be working on a range of initiatives and projects across different sectors.
 
 
 Our Projects Vary Greatly And Your Responsibility As a Consultant Will Differ Based On The Focus Of The Client Engagement And Your Skillset. However, Your Role Could Include And May Require You To:
 
 
 <ul>
 <li>
 Design or build part of a data solution such as an ETL component, data warehouse or reporting solution, data virtualization implementation.
 </li>
 <li>
 Work with client stakeholders to design the source to target mappings for a large-scale data migration.
 </li>
 <li>
 Advise clients on appropriate tooling for a particular solution based on your expertise in specific technologies.
 </li>
 <li>
 Conduct stakeholder interviews or support client workshops to capture business or technical requirements for a data solution.
 </li>
 <li>
 Support the development of client bids and presentations of proposals.
 </li>
 <li>
 Work effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.
 </li>
 <li>
 Develop and grow the Delivery practice by contributing to the development and delivery of training content, reusable assets, playbooks, and industry / technology propositions as well as actively participating in community events to share knowledge and nurture positive and collaborative relationships within the practice.
 
 
 </li>
 </ul>
 
 
 Connect To Your Skills And Professional Experience.
 
 
 
 
 The ideal candidate for this position will possess a range of personal qualifications and skills that will enable them to excel in this role.
 
 
 3 - 6 years of relevant experience.
 
 
 <ul>
 <li>
 Problem-solving skills: Demonstrates the ability to identify and solve complex problems using a structured and logical approach.
 </li>
 <li>
 Systems engineering: You should have experience in managing functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
 </li>
 <li>
 Stakeholder management: Demonstrates the ability to build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
 </li>
 <li>
 Organizational skills: Is highly organized and efficient and has a proven ability to manage multiple projects simultaneously.
 </li>
 <li>
 Creativity and innovation: Are able to think creatively and come up with new solutions to problems.
 </li>
 <li>
 Communication skills: Is able to communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
 </li>
 </ul>
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data engineering and analytics.
 
 
 Candidates will have hands on experience with one or more technologies relevant to these areas:
 
 
 <ul>
 <li>
 Data Integration (including ETL / ELT).
 </li>
 <li>
 Data Migration.
 </li>
 <li>
 Master Data Management.
 </li>
 <li>
 Business Intelligence and Reporting.
 </li>
 <li>
 Data Warehousing.
 </li>
 <li>
 Data Virtualization.
 </li>
 <li>
 Big Data Engineering.
 </li>
 <li>
 Business and Data Analysis.
 </li>
 <li>
 Data Governance.
 </li>
 <li>
 Data Cataloguing.
 </li>
 <li>
 Data Quality.
 
 
 </li>
 </ul>
 We Are Specifically Looking For Candidates With Both Technical And Business Focused Skills, Who Can Articulate The Outcomes And Value Of Their Work, And Have Working Experience In Some Of The Following:
 
 
 <ul>
 <li>
 Experience of working as a data analyst with ability to translate business requirements into functional and technical data designs.
 </li>
 <li>
 Ability to demonstrate stakeholder management skills and collaborate effectively within multidisciplinary teams.
 </li>
 <li>
 Experience in Agile and/or DevOps for software development &amp; IT operations and knowledge of SDLC.
 </li>
 <li>
 Experience in ETL tools such as Informatica, SSIS, Talend or Pentaho.
 </li>
 <li>
 Knowledge of data governance and data management tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra.
 </li>
 <li>
 Knowledge of one or more databases such as MySQL, SQL Server, Oracle, Snowflake, PostgreSQL, and NoSQL databases.
 </li>
 <li>
 Familiarity with programming languages such as Spark or Python.
 </li>
 <li>
 Familiarity with popular cloud platforms such as Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology &amp; Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Connect to your Industry.
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; Dan, Consulting
 
 
 
 Personal independence.
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step.
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
 
 
</div>

Deloitte Innovation Hub I Senior Data & Analytics Engineer, Cairo, Egypt

V-Soft Consulting Group, Inc.

<div>
 
 Primary Location
 
 : New York City, New York
 
 
 V-Soft Consulting is currently hiring for a
 
 Data Engineer
 
 for our premier client in
 
 
 
 New York City, New York.
 
 
 
 
 Education And Experience &raquo;
 
 
 
 B.S. or B.A in Computer Science or related field.
 
 
 <ul>
 <li>
 5&ndash;7 years in data engineering or analytics engineering.
 </li>
 <li>
 Experience operating data ware/lake-houses and building semantic layers.
 </li>
 <li>
 Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls).
 
 
 </li>
 </ul>
 
 Knowledge, Skills And Abilities &raquo;
 
 
 
 <ul>
 <li>
 Strong SQL and practical experience with dbt for transformations and testing.
 </li>
 <li>
 Hands-on experience with data modeling and performance optimization.
 </li>
 <li>
 Professional coding experience with both Java and Python.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design.
 </li>
 <li>
 Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing.
 </li>
 <li>
 Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive ready dashboards.
 </li>
 <li>
 Experience with any of the following: Azure Fabric, Power BI, Dremio, Apache Iceberg, Apache Parquet, Datadog
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Demonstrated ability to mentor or coach in software engineering practices.
 </li>
 <li>
 Effective communication and requirement gathering
 
 
 </li>
 </ul>
 
 Interested?
 
 
 
 Qualified candidates should send their resumes to
 
 rprudhvi@vsoftconsulting.com
 
 
 
 V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks.
 
 
 As a valued V-Soft Consultant, you&rsquo;re eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth.
 
 
 V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
 
 For more information or to view all our open jobs, please visit www.vsoftconsulting.com or call (844) 425-8425.
 
 
</div>

Data Engineer

Brex

<div>
 
 Why join us
 
 
 
 Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex&rsquo;s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
 
 
 Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We&rsquo;re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
 
 
 
 Data at Brex
 
 
 
 Our Scientists and Engineers work together to make data &mdash; and insights derived from data &mdash; a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
 
 
 
 Where you&rsquo;ll work
 
 
 
 This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
 </li>
 <li>
 Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.
 </li>
 <li>
 Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.
 </li>
 <li>
 Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
 </li>
 <li>
 Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
 </li>
 <li>
 Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
 </li>
 <li>
 Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
 </li>
 <li>
 Use agentic AI where it speeds up pipeline and quality work, without skipping validation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
 </li>
 <li>
 Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
 </li>
 <li>
 Experience integrating and orchestrating data workflows with various modern data tools and systems.
 </li>
 <li>
 Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
 </li>
 <li>
 Experience working with a data warehouse such as Snowflake.
 </li>
 <li>
 Experience with a data workflow orchestrator tool such as Airflow.
 </li>
 <li>
 Experience with a programming language such as Python.
 </li>
 <li>
 Experience with agentic AI.
 </li>
 <li>
 Exceptional quantitative and analytical skills.
 </li>
 <li>
 Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Familiarity with BI tools such as Looker, Tableau, or similar platforms.
 </li>
 <li>
 Solid dbt in production: models, tests, docs, and collaboration in a shared repo.
 </li>
 <li>
 AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.
 </li>
 <li>
 Experience with Salesforce data integration.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate&rsquo;s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
 
 
 Brex LLC is a wholly owned subsidiary of Capital One, N.A.
 
 
 
 Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
 
</div>

Stock Yards Bank & Trust

Stock Yards Bancorp, Inc. (NASDAQ: SYBT), parent company of Stock Yards Bank & Trust Company, with offices in Louisville, Central, Eastern and Northern Kentucky, as well as the Indianapolis, Indiana and Cincinnati, Ohio metropolitan markets.
 
Job Title: Data Engineer
 FLSA Status: Exempt
 Department: Enterprise Data Analytics
 Hours of Operation: Monday – Friday – 40 hours
 
General Job Summary: 
Stock Yards Bank & Trust is seeking a skilled and detail-oriented Data Engineer to support the bank’s data analytics initiatives. The selected candidate will work closely with data analysts, data scientists, and key stakeholders across the bank to design, develop, and maintain scalable data pipelines and infrastructure. This role involves designing and implementing ETL processes, ensuring data quality and integrity, and developing robust data models to support comprehensive reporting and analytics needs. The ideal candidate will have a strong technical background in data engineering, experience with various database architectures and ETL tools, and a passion for leveraging data to drive business value. This is an onsite position with no relocation assistance provided.
 
Organizational Duties and Responsibilities: 
<ul>
<li>Supports the mission, vision and philosophy of the bank. Complies willingly with all organizational policies and procedures.</li>
<li>Supports all functions that maintain compliance with regulatory agencies.</li>
</ul>
Essential Duties and Responsibilities: 
<ul>
<li>Design, develop, and maintain scalable data pipelines to support the bank's data analytics initiatives</li>
<li>Implement and optimize ETL processes to ensure efficient data flow and integration from various sources, including APIs, SFTP, cloud and on-prem systems</li>
<li>Collaborate and communicate effectively with analysts and business stakeholders to empower self-service analytics, facilitate the discovery of insights, and create intuitive visual representations of data</li>
<li>Develop and maintain data models to support reporting, analytics, and data visualization needs</li>
<li>Developing and implementing data security measures to protect sensitive information</li>
<li>Ensure data quality and integrity by implementing data governance practices, including data validation, cleansing, and classification</li>
<li>Monitor and troubleshoot data pipeline performance to ensure reliability, efficiency and cost optimization</li>
<li>Maintain healthy code repositories and leverage source control systems (e.g., Git) to ensure efficient version management, seamless collaboration, and adherence to best practices in code management</li>
<li>Develop and maintain an understanding of the bank’s data sources and how they can be used to provide business value for the bank</li>
<li>Stay up to date with emerging technologies and industry trends to drive innovation and maintain a competitive edge in data engineering</li>
<li>Develop and maintain documentation for data pipelines, processes, and data models</li>
</ul>
Working Conditions: Works in office with occasional travel to bank locations, training seminars and conferences
 
Education: Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Administration or related field
 
Experience: 
<ul>
<li>5+ years of experience working in an analytics/data engineering role</li>
<li>Track record of success in developing and deploying creative insights, services and solutions that drove increased business value</li>
<li>Financial services background is a plus</li>
<li>3+ years working on maintaining databases with a focus on improving data ingestion pipelines</li>
<li>Expertise in designing and implementing star schema dimensional models, establishing a single source of truth for analytical reporting, dashboards and insights discovery</li>
<li>Experience with various database architectures (e.g. SQL Server, Snowflake, Databricks, Azure)</li>
<li>Experience with various visualization solutions (e.g. Tableau, PowerBI, Sigma, MicroStrategy)</li>
<li>Experience with various ETL and orchestration solutions (e.g. Informatica, Fivetran, DBT, Matillion)</li>
<li>Proficient in writing advanced SQL to handle complex data transformations</li>
</ul>
Specific Skills: 
<ul>
<li>Motivated, self-starter</li>
<li>Track record of working autonomously with organizational and time management skills</li>
<li>Proven ability to manage multiple projects simultaneously while maintaining high standards of quality and meeting deadlines</li>
<li>Enjoy supporting team members by sharing technical knowledge and helping solve problems</li>
<li>Ability to develop and follow documented policies and procedures to ensure proper compliance</li>
<li>Strong technical acumen and decision-making skills</li>
<li>Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues efficiently</li>
<li>Exhibit a professional appearance and demeanor</li>
<li>Ability to work flexible work schedules, after-hours as required</li>
<li>Professional verbal and written communication skills</li>
<li>Ability to use the Microsoft Office M365 suite of products</li>
</ul>
Physical requirements: 
The physical demands described here are representative of those that must be met by an employee in order to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 <ul>
<li>Primarily sedentary work performed in an office environment</li>
<li>Ability to sit for extended periods of time while working at a computer</li>
<li>Frequent use of hands and fingers to operate a computer, keyboard, mouse, and other office equipment</li>
<li>Ability to speak clearly and hear well enough to communicate with clients, team members, and vendors via phone, video, and in person</li>
<li>Visual acuity sufficient to read computer screens, printed documents, and financial data</li>
<li>Occasional standing, walking, bending, or reaching</li>
<li>Ability to lift and carry up to 10–15 pounds occasionally (e.g., files, office supplies)</li>
</ul>
Benefits: 
<ul>
<li>401(K) with a company match of up to 6%</li>
<li>ESOP employer match</li>
<li>Medical insurance</li>
<li>Dental insurance</li>
<li>Vision insurance</li>
<li>Cancer/Disease insurance</li>
<li>Accident insurance</li>
<li>Flexible Spending Accounts</li>
<li>Flexible Savings Accounts</li>
<li>Health Savings Accounts</li>
<li>Bank paid Life/AD&D insurance</li>
<li>Voluntary Life/AD&D insurance</li>
<li>Bank paid Short-Term and Long-Term Disability insurance</li>
<li>Employee Stock Purchase Plan</li>
<li>Employee Assistance Program</li>
</ul>

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

Data Scientist

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