ai annotator, agi data services Jobs in Boston

ai annotator, agi data services

ai data trainer, agi data services Jobs in Boston

ai data trainer, agi data services

senior data engineer

senior machine learning data scientist Jobs in Boston

senior machine learning data scientist

data annotator

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Annotator to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Annotator, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AI Annotator, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Content Expert II (German) to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ year(s) of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in German. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AI Content Expert II (German), AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an Content Strategist to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an Content Strategist, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Content Strategist, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Data Trainer to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Data Trainer, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AI Data Trainer, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Content Expert II &ndash; German to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in German and English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1+ level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b><br>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AI Content Expert II - German, Artificial General Intelligence

Chewy

<div><h2 class="jobSectionHeader"><b>Our Opportunity:</b></h2>
<p>
Chewy seeks a Business Intelligence Analyst III to apply a broad set of technical and analytical skills in enhancing our data analytics and reporting initiatives for Fulfillment Network teams at Chewy in Boston, MA, Minneapolis, MN, Bellevue, WA, or Plantation, FL. The candidate will contribute to foundational operational metrics and reports for leadership teams. They will work with different business units in fulfillment operations and supply chain to produce high-quality data products.</p>
<p>
Tasks include setting up data pipelines, ensuring data accuracy, analyzing large datasets, investigating data anomalies, creating data visualizations, sharing insights with customers, coaching colleagues, solving complex business problems, and automating data processes.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do:</b></h2>
<p>
The ideal candidate should excel in SQL and BI tools. Daily tasks involve investigating data deeply and translating findings into impactful narratives to inspire changes in delivery services. The main duties include creating operational metrics and crafting data products using BI tools. The candidate will collaborate with cross-functional partners to implement analysis methods for insights. This role is impactful and requires strong communication and collaboration skills.</p>
<h2 class="jobSectionHeader"><b>
What You'll Need:</b></h2>
<ul><li>A bachelor's or equivalent experience in information technology, engineering, statistics, computer science, business with an analytics focus, or a related field.</li>
<li>4 plus years of related full-time experience in an analyst role working on a business team, preferably in the e-commerce or retail industry.</li>
<li>Advanced knowledge of SQL and prior experience with data modeling and performance tuning techniques are a must-have.</li>
<li>Experience with ETL techniques and BI tools (Tableau, KNIME, Control M, SSIS, Alteryx, etc.) used for data transformation.</li>
<li>Monitor data pipelines for accuracy, missing data, improvements, and any other changes.</li>
<li>Reconcile data issues between various systems and find opportunities to drive improvements.</li>
<li>Solid knowledge of using data visualization tools (preferably Tableau) working with multiple data sources and several dashboards.</li>
<li>Lead quality control and testing initiatives for deliverables produced by the Analytics team.</li>
<li>Demonstrable success in interpreting data and analyzing results using statistical techniques and presenting findings to business partners across the organization.</li>
<li>Experience applying statistical techniques such as hypothesis testing, correlation, classification, regression, and time series forecasting.</li>
<li>Experience using machine learning frameworks in R or Python to drive process improvement is a big plus.</li>
<li>Conceive, develop, and implement analytics solutions to complex business problems.</li>
<li>Work with cross-functional partners in defining and documenting requirements for building high-quality and impactful data products.</li>
<li>Experience with Git, Jira, and Confluence to manage source code and track project development.</li>
<li>Develop and deliver communication and training plans on data analytics capabilities, standards, and processes.</li>
<li>Lead the evaluation, implementation, and deployment of emerging tools and technologies to boost efficiency.</li>
<li>Passionate about using data to drive innovation within a fast-paced and ambiguous environment.</li>
<li>Current permanent US work authorization required.</li>
</ul>
<p>Chewy promotes equal opportunity, diversity, and inclusion. Team Members with disabilities can request accommodations.</p>
<p>
If you have a question regarding your application, please contact HR@chewy.com.</p>
<p>
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.</p><div><p><b>
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact </b><b>CAAR@chewy.com</b><b>.</b></p><br>
<p></p>
<p><b>
To access Chewy's Customer Privacy Policy, please click </b><b>here</b><b>.</b></p><br>
<p></p>
<p><b>
To access Chewy's California CPRA Job Applicant Privacy Policy, please click </b><b>here</b><b>.</b></p></div></div>

Business Intelligence Analyst III

ABCorp NA Inc.

<div><p>About ABCorp</p><p>
ABCorp is a 230+ year-old secure manufacturer and trusted partner at the intersection of payments, fintech, identity, and additive manufacturing. We design, manufacture, and personalize secure products&mdash;credit/debit cards, healthcare and government IDs, and 3D-printed solutions&mdash;supported by robust digital and data-driven services.</p><p></p><p><br>
We are seeking a Revenue Operations Analyst to join our go-to-market team. This role will be the backbone of our sales organization, ensuring we have the data, reporting, and tools in place to exceed aggressive growth targets.</p><p></p><p><br>
Responsibilities</p><ul><li>
Spearhead the transition of incumbent CRM to HubSpot CRM</li><li>
Own and optimize HubSpot CRM as the primary revenue platform (data integrity, automation, reporting, dashboards).</li><li>
Build and maintain reporting frameworks for pipeline, forecasting, account performance, and profitability analysis.</li><li>
Support leadership in forecasting efforts by consolidating data, modeling trends, and identifying risks/opportunities.</li><li>
Partner with Sales, Marketing, Finance, and Client Success to align KPIs, dashboards, and reporting.</li><li>
Develop automated processes to improve sales team efficiency (lead scoring, routing, alerts, etc.).</li><li>
Perform deep-dive analytics on sales team performance, account trends, campaign ROI, and contribution margin (CM) profitability.</li><li>
Collaborate with Finance and Sales to determine CM contribution margin profitability at product, program, and account levels.</li><li>
Manage integrations between HubSpot, Visual ERP, and other systems.</li><li>
Ensure compliance with data governance, security, and reporting standards.</li></ul><p></p><p><br>
Required Skills &amp; Experience</p><ul><li>
5-10 years of experience in Sales Ops, Revenue Ops, or Sales Engineering (fintech, SaaS, or manufacturing preferred).</li><li>
Expert in HubSpot CRM: pipeline configuration, workflow automation, reporting, and integrations.</li><li>
Proficiency with business intelligence tools (Tableau, Power BI, Looker, or equivalent).</li><li>
Strong data analysis skills (Excel/Google Sheets, SQL a plus).</li><li>
Experience supporting revenue forecasting processes and profitability analysis.</li><li>
Familiarity with contribution margin concepts and financial modeling.</li><li>
Strong project management and communication skills&mdash;able to manage multiple stakeholders and competing priorities.</li></ul><p>
Nice-to-Haves</p><ul><li>
Experience with Visual ERP or other ERP systems.</li><li>
Understanding of manufacturing, supply chain, or payments ecosystems.</li><li>
Prior experience in a high-growth environment scaling sales process.</li></ul><p>
What We Offer</p><ul><li>
Opportunity to shape the backbone of revenue operations in a high-impact role.</li><li>
Exposure to a diverse ecosystem&mdash;financial services, government, healthcare, and advanced manufacturing.</li><li>
Collaborative team culture with direct executive visibility.</li><li>
Competitive compensation, benefits, and growth opportunities.</li></ul></div><p></p>

Revenue Operations Analyst

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