analytics leader

University Health

<div><p><b>POSITION SUMMARY/RESPONSIBILITIES</b></p>
<p>The Director, Managed Care Analytics serves as the enterprise leader for payer analytics, contract modeling, and contract performance optimization. This role is responsible for developing advanced financial, statistical, and predictive models to support managed care contracting strategy, value-based care performance, and revenue optimization. The Director transforms traditional analytics into a modern, AI-augmented decision capability leveraging automation, machine learning, and advanced data platforms to deliver predictive, prescriptive, and real-time insights across the payer lifecycle. This position collaborates cross-functionally with Patient Business Services, Revenue Integrity, Patient Access, Finance, clinical operations, and IT to ensure data integrity, actionable insights, and strategic alignment, and serves as a trusted advisor to the Vice President, Payer Relations. The Director also contributes to AI governance and the responsible use of data, ensuring transparency, compliance, and appropriate human oversight in analytic and decision-support processes.</p>
<p><b>EDUCATION/EXPERIENCE</b></p>
<p><b>Education</b></p>
<ul><li>Required: Bachelor's Degree in Finance, Healthcare Administration, Data Analytics, Statistics, or a related field.</li>
<li>Preferred: Master's degree (MBA, MHA, Health Informatics, Data Science, or equivalent). Graduate-level preparation is strongly preferred for this enterprise analytics leadership role.</li>
</ul>
<p><b>Experience</b></p>
<ul><li>8 or more years of progressive experience in healthcare analytics, decision support, or revenue cycle analytics.</li>
<li>3 to 5 or more years in a leadership or management role.</li>
<li>Demonstrated experience leading payer contract modeling and supporting negotiation strategy.</li>
<li>Experience with value-based care and alternative payment models.</li>
<li>Experience building or modernizing analytics capabilities preferred.</li>
</ul>
<p><b>Technical and Functional Expertise</b></p>
<ul><li>Advanced proficiency in Excel and data modeling.</li>
<li>Advanced proficiency in BI tools such as Tableau.</li>
<li>Experience with healthcare data including claims, clinical records, and EHR data.</li>
<li>Experience with contract modeling tools and systems.</li>
<li>Working knowledge of AI applications in healthcare analytics.</li>
<li>Working knowledge of predictive modeling.</li>
</ul>
<p><b>Domain Knowledge</b></p>
<ul><li>Strong working knowledge of Medicare Advantage, Medicaid (including Texas programs), and commercial exchange products.</li>
<li>Strong knowledge of reimbursement methodologies and contract structures.</li>
<li>Familiarity with data integration challenges in healthcare.</li>
</ul>
<p><b>LICENSURE</b></p>
<ul><li>HFMA certification preferred.</li>
<li>Epic Resolute expected reimbursement certification required.</li>
</ul><br>
Location: University Health &middot; Managed Care Services<br>
Schedule: Full Time, Day Shift, 40</div>

Director, Managed Care Analytics

Infosys

<div><b>In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:</b><br>
<ul><li>Develop data preparation tasks, while identifying patterns or anomalies.</li><li>Ensure data readiness for advanced modeling.</li><li>Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.</li><li>Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.</li><li>Design and develop predictive models and data-driven analyses to address business challenges.</li><li>Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.</li><li>Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.</li><li>Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.</li><li>Proactively maintain models and implement improvements for accuracy and reliability.</li><li>Apply governance controls to mitigate risks and ensure compliance.</li><li>Analyze performance trends, recommend improvements, and document discrepancies for escalation.</li><li>Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.</li><li>Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.</li><li>Apply the predefined quality measurement framework at an individual task level in the project.</li><li>Deploy complex analytics tools or multi-system integration, while validating deployment success.</li><li>Participate in developing scripts or templates for repeated deployments tasks.</li><li>Contribute to analytic solutions, IP asset creation, and training initiatives.</li><li>Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.</li><li>Participate in and deliver analytics training, while contributing to content creation.</li><li>Provide input for segment and unit-level business plans.</li></ul><br>
<br>
<br>
<br>
<b>Your contribution to the team:</b><br>
<br>
<ul><li>Deliver scalable, high-quality analytics solutions aligned to business needs.</li><li>A knack for optimization, deployment and performance improvement of models.</li><li>The ability to drive innovation through advanced analytics, automation and thought leadership.</li><li>Enable team growth through knowledge sharing, training and standardization.</li><li>Support business planning with data-driven insights.</li></ul></div>

AI Engineer Analytics

Adswerve, Inc.

<div><div><p>We're an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies think beyond clicks and conversions to unlock new opportunities for growth. We thrive on rolling up our sleeves and digging into the tough stuff for our 800+ clients. And we love getting them the most ROI from their digital marketing. If you're up for the challenge, join us. Let's move fearlessly forward together.</p></div><p><b>
Job Title: </b>Technical Lead 1, Analytics</p>
<p><b>
Compensation: </b>$85,000 to $105,000</p>
<p><b>
Location:</b><b> </b>Arizona, Colorado, Connecticut, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Jersey, New Mexico, Pennsylvania, Tennessee, Texas, Utah, Virginia, and Wisconsin.</p>
<p>
Adswerve is seeking a Technical Lead, Analytics to join our Analytics Services team. In this role, you will serve as a technical subject matter expert alongside our consulting team, designing and executing robust enterprise tracking solutions for our clients.</p>
<p>
The ideal candidate thrives on solving complex data collection challenges, with specialized expertise in Tealium, data layer design, and advanced tag management. You will brainstorm creative, scalable architectures for web, mobile, and app products across Google, Adobe and Amplitude.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities</b></h3>
<ul><li>Design and deploy end-to-end analytics tracking solutions across web, mobile, and single-page applications (SPAs) primarily using Tealium (and other enterprise Tag Management Systems).</li>
<li>Maintain, develop, and standardize data layers and Solution Design References (SDRs) across complex, multi-brand digital properties.</li>
<li>Configure tracking pixels, custom variables, and event triggers within the TMS to support complex analytics, data privacy, and marketing use cases.</li>
<li>Partner closely with client engineering and web development teams to translate tracking requirements into clear, actionable technical specifications.</li>
<li>Rigorously test and validate tracking end-to-end, ensuring data integrity, accuracy, and compliance across all platforms before deployment.</li>
<li>Provide technical guidance to clients and internal consultants throughout the project lifecycle, from initial presales scoping and effort estimation to final delivery.</li>
<li> Remotely mentor junior team members on analytics engineering practices, JavaScript, mobile app tracking methodologies, and privacy/consent management.</li>
<li>Produce comprehensive technical documentation and contribute to Adswerve's internal tracking standards and implementation best practices.</li>
<li>Participate in creating technical blog posts, webinars, or case studies to help elevate Adswerve's market presence in non-GMP analytics technologies.</li>
</ul><h3 class="jobSectionHeader"><b>Experience</b></h3>
<ul><li>Bachelor's degree or equivalent hands-on experience in Digital Analytics, Analytics Engineering, or AdTech.</li>
<li>3+ years of hands-on experience implementing enterprise analytics solutions, with deep, proven expertise in Tealium (iQ / EventStream).</li>
<li>Experience with additional enterprise analytics tools (e.g., Google Analytics 4, Adobe Analytics/Launch, Segment, Amplitude).</li>
<li>Strong fluency in JavaScript, HTML, and CSS specifically tailored for web/mobile analytics deployment and DOM manipulation.</li>
<li>Proven ability to design scalable, maintainable data layers and translate business requirements into technical SDRs.</li>
<li>Solid understanding of mobile app tracking methodologies (iOS/Android SDKs) and single-page application (SPA) behaviors.</li>
<li>Excellent communication and presentation skills, with a track record of explaining complex technical concepts clearly to non-technical stakeholder</li>
</ul>
<p>This position pays a base salary of $85,000 to $105,000 per year. Wage differential is based on training and experience.</p>
<p>
Our team of 250+ employees is spread out across 26 states and six countries. We keep everyone connected remotely with a team-oriented culture where everyone contributes and feels valued for their skills and unique perspectives.<br>
<br>
If you want to work alongside the best and brightest analytics minds, we'd love to hear from you. You can get hands-on with the latest ad tech, work with exciting clients and pave the way for new industry processes and advancements. All while working for a company that prioritizes your work-life balance. Plus, we offer full-time Adswerve employees benefits you'll love:</p>
<ul>
<li>Medical, dental and vision available for employees</li>
<li>Paid time off including vacation, sick leave &amp; company holidays</li>
<li>Paid volunteer time</li>
<li>Flexible working hours</li>
<li>Summer Fridays</li>
<li>&quot;Work From Home Light&quot; days between Christmas and New Year's Day</li>
<li>401(k) Plan with 5% company match and no vesting period</li>
<li>Employer Paid Parental Leave</li>
<li>Health-care Spending Accounts</li>
<li>Dependent-care Spending Accounts</li>
<li>Employer Paid Basic Life Insurance</li>
<li>Voluntary Life Insurance (Employee/Spouse/Child)</li>
<li>Employer Paid Short &amp; Long Term Disability</li>
<li>Employee Assistance Program (EAP)</li>
<li>Continuing Education Reimbursement</li>
<li>Employee Referral Bonus Program</li>
<li>Monthly Remote Work Stipend</li>
<li>New Hire Office Equipment Reimbursement</li>
</ul>
<p><i>Adswerve is an Equal Opportunity and E-Verify Employer. All qualified applicants will receive consideration without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, physical or mental disability, medical condition, gender identity, gender expression, results of genetic testing, service in the military, or on any other basis that would be in violation of any applicable federal, state, or local law. Adswerve will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization.</i></p>
<p>
If you require assistance with your application, please reach out to careers@adswerve.com</p>
<p><b>
Screening of Applications Begins</b>: Immediately and will continue until the position is filled. For best consideration, please apply by August 14th!</p>
<p><b>
Recruitment Agencies: </b>We are not utilizing external 3rd party recruitment agencies for this search. Should those needs change, we will seek your assistance directly.</p></div>

Technical Lead 1, Analytics

Elevenlabs

<div><h2 class="jobSectionHeader"><b>About ElevenLabs</b></h2><p>
ElevenLabs is an AI research and product company transforming how we interact with technology.</p><p>
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always.<br>
<br>
We have expanded from voice into three main platforms:</p><ul><li><p>
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.</p></li><li><p>
ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.</p></li><li><p>
ElevenAPI gives developers access to our leading AI audio foundational models.</p></li></ul><p>
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.</p><p></p><h2 class="jobSectionHeader"><b>
How we work</b></h2><ul><li><p><b>
High-velocity: </b>Rapid experimentation, lean autonomous teams, and minimal bureaucracy.</p></li><li><p><b>
Impact not job titles: </b>We don&rsquo;t have job titles. Instead, it&rsquo;s about the impact you have. No task is above or beneath you.</p></li><li><p><b>
AI first:</b> We use AI to move faster with higher-quality results. We do this across the whole company&mdash;from engineering to growth to operations.</p></li><li><p><b>
Excellence everywhere: </b>Everything we do should match the quality of our AI models.</p></li><li><p><b>
Global team: </b>We prioritize your talent, not your location.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What we offer</b></h2><ul><li><p><b>
Innovative culture:</b> You&rsquo;ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what&rsquo;s possible.</p></li><li><p><b>
Growth paths: </b>Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.</p></li><li><p><b>
Learning &amp; development</b>: ElevenLabs proactively supports professional development through an annual discretionary stipend.</p></li><li><p><b>
Social travel</b>: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.</p></li><li><p><b>
Annual company offsite: </b>Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.</p></li><li><p><b>
Co-working</b>: If you&rsquo;re not located near one of our main hubs, we offer a monthly co-working stipend.</p></li></ul><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We're building ElevenLabs' people analytics function from the ground up, at the speed we're scaling. As People Analytics Lead, you'll turn workforce data into the insights that shape how we hire, organize, and retain talent across a fully distributed, fast-growing team.</p><p>
You'll partner directly with the People team and business leaders &mdash; translating headcount, compensation, attrition, and engagement data into decisions, not just dashboards. This is a build-it-yourself role: you'll choose the tools, define the metrics that matter, and set the standard for how the rest of the company talks about our workforce.</p><ul><li><p>
Own core people analytics: headcount planning, attrition/retention, hiring funnel efficiency, comp benchmarking, and org health metrics</p></li><li><p>
Build self-serve dashboards and reporting (BigQuery, Looker/Tableau, or similar) so People and business leaders can answer their own questions</p></li><li><p>
Partner with the people team on workforce planning tied to company growth and budget cycles</p></li><li><p>
Translate data into a clear point of view for our Group leads; recommendations, not just charts</p></li><li><p>
Establish data governance and standard metric definitions across our HRIS, ATS, and other people systems</p></li></ul><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li><p>
5+ years in people/HR analytics or a related analytics function, ideally having stood up the function at a fast-growing company</p></li><li><p>
Strong SQL skills and comfort building dashboards in BigQuery, Looker, Tableau, or similar</p></li><li><p>
A track record of turning workforce data into decisions that changed how a business hired, organized, or retained people</p></li><li><p>
Excellent stakeholder skills &mdash; able to translate data for both People teams and non-technical business leaders</p></li></ul><p>
Bonus: Experience with HRIS/ATS/Data Warehouse platforms (Workday, HiBob, Ashby, SnowFlake), or a background in I-O psychology, statistics, or data science.</p></div>

People Analytics Lead

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.</p>
<p></p><p>As a Vice President Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment's ecosystem will also be a part of your responsibilities.
</p><p><b>Job Responsibilities:</b>
</p><ul><li>Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain.
</li><li>Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
</li><li>Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
</li><li>Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
</li></ul><p><b>Required qualifications, capabilities, and skills:</b>
</p><ul><li>Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 6 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
</li><li>Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
</li><li>Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.
</li><li>Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.
</li><li>Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
</li><li>Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
</li></ul><p></p><p><b>Preferred Qualifications, capabilities and skills</b>
</p><ul><li>Experience in the financial services industry, particularly within investment banking operations.
</li><li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
</li><li>Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc.
</li></ul><p></p><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML Lead

Lincoln Electric

<div><div><div><div><div><p>Demand Planning Senior Analyst
</p></div></div></div></div><div></div><div><div><div><div><div>Lincoln Electric is a high-performance industrial machinery and technology leader who helps customers manufacture and maintain vital equipment and infrastructure. Lincoln Electric&rsquo;s innovative solutions enable higher quality and productivity across a variety of processes including welding, cutting, brazing, machining, process automation, and field repair. The Company leverages proprietary technologies and expertise in materials science, power electronics, automation, and intelligent software to help customers build better and achieve resilience in their operations. Headquartered in Cleveland, Ohio, Lincoln Electric is the essential &lsquo;Linc&rsquo; that keeps the economy running. The Company operates 71 manufacturing and automation facilities across 20 countries and serves customers in over 160 countries. For more information about Lincoln Electric and its products and services, visit the Company&rsquo;s website at https://www.lincolnelectric.com.</div><br>
<div></div>
<div>
Location: <b>Euclid - 22801</b><br>
Employment Status: <b>Salary Full-Time</b><br>
Function: <b>Distribution/Logistics</b><br>
Pay Range: $81,992.00-$102,490.00<br>
Target Bonus: <b>10.0%</b><br>
Req ID: <b>29504</b></div><div></div><div><br>
</div><div></div><div><div><div><div>Role Summary</div>
</div><div><div>
The Demand Planning Center of Excellence Subject Matter Expert (COE SME) is responsible for driving best-in-class demand planning capabilities across Lincoln Electric&rsquo;s global organization. This role will establish standardized processes, tools, and performance management frameworks to improve forecast accuracy, demand visibility, and alignment with business strategy.</div><br>
<div></div>
<div>
Reporting to the Senior Manager, S&amp;OP, the COE leader will serve as the central authority for demand planning methodologies, statistical forecasting, and demand analytics, ensuring consistent execution and continuous improvement across regions and business units.</div></div></div><div><div><div>
Job Description (Duties and Responsibilities)
</div></div><div><ul><li>Define and deploy standardized demand planning processes, policies, and governance across the enterprise.</li>
<li>Establish and lead governance within the S&amp;OP framework for demand planning activities.</li>
<li>Act as the subject matter expert for demand planning, including baseline forecasting, demand sensing, and consensus planning.</li>
<li>Drive the evolution toward advanced, data-driven demand planning capabilities.</li>
<li>Develop and maintain global standards for statistical forecasting models, forecast hierarchy and segmentation, and demand review and consensus processes.</li>
<li>Improve forecast accuracy and bias through structured methodologies, segmentation strategies, and continuous feedback loops.</li>
<li>Own demand planning system capabilities and partner with IT and Digital teams to enhance forecasting automation, machine learning models, and data integration.</li>
<li>Lead system implementations, enhancements, and upgrades related to demand planning and ensure high-quality master data and model configuration.</li>
<li>Define and manage KPIs such as forecast accuracy, forecast bias, demand plan stability, and forecast value add, and develop dashboards and reporting across regions and product lines.</li>
<li>Conduct root-cause analysis for forecast errors, drive corrective actions, and provide actionable insights to commercial, finance, and operations teams.</li>
<li>Support demand review processes within the S&amp;OP cycle and facilitate cross-functional consensus demand planning with Sales, Marketing, Finance, and Product Management.</li>
<li>Translate market intelligence, promotions, and new product launches into demand plans while ensuring alignment between demand plans and financial forecasts.</li>
</ul><ul><li>Train and coach demand planners on forecasting techniques, tools, and analytics; build a global demand planning community of practice; and lead change management initiatives to improve adoption of standardized processes and digital tools.</li>
<li>Partner closely with Sales, Marketing, Product Management, Finance, Supply Planning, Operations, and IT / Data &amp; Analytics teams to ensure demand signals reflect true market conditions and business strategy.</li>
</ul></div></div><div><div><div>Basic Requirements</div>
</div><div><ul><li>Bachelor&rsquo;s degree in supply chain, business, or related field.</li>
<li>5+ years of experience in demand planning, forecasting, or S&amp;OP.</li>
<li>Strong expertise in statistical forecasting and demand planning processes.</li>
<li>Experience with ERP/APS platforms such as SAP, Palantir, or similar tools.</li>
<li>Strong analytical skills with the ability to translate data into business insights.</li>
<li>Experience in a manufacturing or industrial environment preferred.</li>
<li>Knowledge of advanced analytics, predictive modeling, or demand sensing tools preferred.</li>
<li>Experience working in global, matrixed organizations preferred.</li>
</ul></div></div><div><div><div>Reporting Structure</div>
</div><div><ul><li>Reports to: Sr. Manager, Enterprise SIOP</li>
<li>Key Interfaces: Sales &amp; Commercial, Marketing, Product Management, Finance, Supply Planning, Operations, and IT / Data &amp; Analytics</li>
</ul></div></div><div><div><div>Key Competencies</div>
</div><div><ul><li>Strong analytical and data-driven mindset.</li>
<li>Ability to influence cross-functional stakeholders.</li>
<li>Strategic thinking with a focus on execution and results.</li>
<li>Change leadership and continuous improvement mindset.</li>
<li>Excellent communication and storytelling with data.</li>
</ul></div></div><div><div><div>Success Profile</div>
</div><div><div>
This role requires a hands-on leader and change agent capable of building a scalable, data-driven demand planning organization. Success will be measured by the ability to improve forecast accuracy, standardize processes globally, and enhance the effectiveness of the Enterprise S&amp;OP process.</div></div></div></div><br>
<div></div>
<p></p>
<div><b>Lincoln Electric is an Equal Opportunity Employer.</b> We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.</div><br>
</div></div></div></div><p><br>
<b>Nearest Major Market: </b>Cleveland
<br>
<b>Job Segment: </b>Machinist, ERP, Welding, SAP, Manufacturing, Technology</p></div>

Demand Planning Senior Analyst

Delivery Hero

<div><b>Company Description</b><p><br>
instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region.</p><p>
With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone&rsquo;s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we&rsquo;re always on the lookout for new talents to join us on our success journey.</p><b><br>
Job Description</b><p><br>
We are looking for a curious and analytical Business Analyst who can work with large datasets, translate business questions into structured analyses, and turn insights into actionable recommendations.</p><p>
The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions.</p><p>
Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable.</p><ul><li>
Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations.</li><li>
Independently write and optimise SQL queries to extract and analyse large datasets.</li><li>
Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.</li><li>
Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation.</li><li>
Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives.</li><li>
Build dashboards and recurring reports using BI and visualisation tools.</li><li>
Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations.</li><li>
Ensure accuracy and reliability of analytical outputs.</li></ul><p>
AI in Analytics</p><ul><li>
The candidate should actively use AI as part of the analytics workflow, including:</li><li>
Accelerating SQL development, debugging, and analysis.</li><li>
Structuring analytical approaches and generating hypotheses.</li><li>
Automating repetitive reporting and analytical tasks.</li><li>
Improving insight generation, documentation, and stakeholder communication.</li></ul><p>
AI should enhance analytical thinking, not replace it.</p><b><br>
Qualifications</b><br>
<ul><li>
3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field.</li><li>
Strong hands-on SQL skills.</li><li>
Strong Excel / Google Sheets skills.</li><li>
Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.</li><li>
Strong analytical, problem-solving, and structured thinking skills.</li><li>
Ability to translate data into clear business recommendations.</li><li>
Comfortable working with multiple stakeholders in a fast-paced environment.</li><li>
Practical exposure to generative AI tools in analytical workflows.</li></ul><p>
Nice to Have</p><ul><li>
Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.</li><li>
Exposure to Python.</li><li>
Understanding of A/B testing and experimentation.</li><li>
Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.</li></ul></div>

Business Analyst - instashop

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