Jobs · OTHR

Intern – Predictive Sales Prospecting

Agilent Technologies · Dover, DE · 1 mo ago
RemoteRemoteOTHR$30–$32/hrInternship
We need to output HTML fragment with sections only if real content. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title. We need to extract content. From description: "Job Description This internship program is designed to provide data analytics support for various programs, projects, and initiatives across the Americas. It is intended to help identify and leverage leading analytics tools and technologies, including artificial intelligence (AI) and large language models (LLMs), to streamline sales enablement and channel strategies, improve sales productivity, and drive incremental revenue growth." That's about the role. So we can have

About the role

with that paragraph. Key Responsibilities: list bullet points. So

Responsibilities

with
  • each bullet. Qualifications: there is a "Qualifications" heading then "Who we’re looking for" paragraph and "What You Bring" list. So we can have

    Qualifications

    with paragraph and maybe sublist? The instruction: use
    • for any list of duties/requirements/benefits, and

      for prose. So we can put the "Who we’re looking for" as

      . Then "What You Bring" as

      • . Also there is "Work Conditions & Schedule" with Duration, Start Date, Schedule, Work Model, etc. That's schedule info. Also "Compensation & Benefits" with hourly pay, benefits. So we need sections Pay, Benefits, Schedule. Possibly combine Benefits and Pay? The rules: we can have separate sections if content exists. We'll create

        Pay

        with paragraph about hourly pay.

        Benefits

        with list of benefits.

        Schedule

        with duration, start date, schedule details, work model. Also there is "Technical Tools & Collaboration" which could be Skills. So we can have

        Skills

        with list of tools. We must not include boilerplate like EEO, application instructions, etc. Also remove duplicated lines. We must preserve all substantive information. Let's extract. About the role paragraph: "This internship program is designed to provide data analytics support for various programs, projects, and initiatives across the Americas. It is intended to help identify and leverage leading analytics tools and technologies, including artificial intelligence (AI) and large language models (LLMs), to streamline sales enablement and channel strategies, improve sales productivity, and drive incremental revenue growth." Responsibilities bullets (from "Key Responsibilities:" list): - Predictive Sales Prospecting & Data Insights - Analyze customer and market data to identify high‑value prospects and uncover sales opportunities. - Leverage AI, machine learning, data analytics, and other automation tools to enhance prospecting strategies and improve targeting accuracy. - Develop data-driven insights to support decision-making across sales and marketing teams. - AI Tools & Technology Evaluation - Explore emerging AI and analytical tools and assess their potential applications within sales workflows. - Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts. - Data Management & Analysis - Identify and consolidate internal and external data sources to support prospecting and reporting initiatives. - Build and maintain dashboards, reports, and queries to monitor key performance metrics. - Apply statistical methods to analyze structured and unstructured datasets and identify patterns, trends, and anomalies. - Sales Enablement & Reporting - Create reports and visualizations that communicate insights clearly to stakeholders. - Partner with cross-functional teams to translate data findings into actionable sales strategies. - Support forecasting efforts and contribute to strategic and tactical planning. - Technical Tools & Collaboration - Utilize tools such as SQL, Python, R, and business intelligence platforms (e.g., Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc.) to develop analytics solutions. - Provide support and guidance on data tools and methodologies to team members. - Maintain data integrity and ensure compliance with relevant standards and best practices. We could flatten each bullet as
      • with the sub-bullets maybe as separate
      • or we can keep nested? The instruction: use
        • for any list of duties/requirements/benefits. It didn't forbid nested lists but simpler to keep flat list items each as a sentence. Could combine subpoints into one li separated by semicolons? Better to keep each as separate li. Thus we will produce many
        • items. Qualifications: "Who we’re looking for You are currently in your sophomore or junior year at an accredited university, pursuing a degree in Data Science, Data Analytics, Business Analytics, Computer Science, Artificial Intelligence, or a related field, and are excited to apply advanced analytics to real-world business challenges." That's a paragraph. "What You Bring" list: - Strong analytical and problem-solving skills with the ability to work with complex datasets. - Foundational knowledge of programming languages and data analysis tools. - Desire to learn business automation tools such as Power BI, Power Automate, Power Apps, etc. - Strong skills and/or interest in AI, machine learning, and data-driven decision-making in a business context. - Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook). - Clear and confident communication skills, both written and verbal. - A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment. We'll put as
          • . Skills: from "Technical Tools & Collaboration" we could treat as Skills section. But we already used that as part of responsibilities. However we could still have Skills section listing tools: SQL, Python, R, Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc. Also maybe mention business intelligence platforms. We'll create a

            Skills

            with
            • each tool. Pay: "Compensation & Benefits Hourly Pay: $30.00–$32.00 (Our pay ranges are determined by role, level, and location.) Paid holidays and medical benefits eligibility. Professional development sessions, workshops, and mentorship. Exposure to sales, marketing, manufacturing, product development, and technical support functions. Access to Agilent Employee Networks (Women@Agilent, Council of Black Employees, Rainbow Spark, La Chispa, Veterans, Asian Pacific Islanders, and more). This position is part-time during the academic semester and full-time over the summer. The intern pay rate for this position is $30.00–$32.00/hour plus eligibility for paid holidays and medical benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location" We need to separate Pay and Benefits. Pay: hourly pay range. Benefits: paid holidays, medical benefits eligibility, professional development sessions, workshops, mentorship, exposure to various functions, access to employee networks. We'll create Pay section with paragraph about hourly pay. Benefits section with
              • each benefit. Schedule: from "Work Conditions & Schedule": Duration: At least 12 months, with a preference for candidates entering their junior year who may be available for up to two years, with the potential to convert to a full-time hire. Start Date: November or December 2026. Schedule: Full-time during summer (40 hours per week); part-time during the school year (10-20 hours per week). Work Model: Remote. Agilent provides a laptop and necessary equipment for the internship term. Also later: "This position is part-time during the academic semester and full-time over the summer." Already covered. Also "Additional Details": "This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least September 23, 2026 or until the job is no longer posted." That's schedule info but also application deadline (should be removed as per instruction: remove application instructions). So we should not include application deadline. Also "Travel Required: Occasional Shift: Day Duration: 6-9 Months Job Function: General" This seems like metadata but maybe not needed. The instruction: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

                or drop it. Travel Required etc could be minor metadata; we could drop or include in a short p. But we already have schedule details; travel required occasional maybe not needed. We'll drop. We must not include EEO boilerplate etc. Now construct HTML. We'll output:

                About the role

                ...

                Responsibilities

                • Analyze customer and market data to identify high‑value prospects and uncover sales opportunities.
                • Leverage AI, machine learning, data analytics, and other automation tools to enhance prospecting strategies and improve targeting accuracy.
                • Develop data-driven insights to support decision-making across sales and marketing teams.
                • Explore emerging AI and analytical tools and assess their potential applications within sales workflows.
                • Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts.
                • Identify and consolidate internal and external data sources to support prospecting and reporting initiatives.
                • Build and maintain dashboards, reports, and queries to monitor key performance metrics.
                • Apply statistical methods to analyze structured and unstructured datasets and identify patterns, trends, and anomalies.
                • Create reports and visualizations that communicate insights clearly to stakeholders.
                • Partner with cross-functional teams to translate data findings into actionable sales strategies.
                • Support forecasting efforts and contribute to strategic and tactical planning.
                • Utilize tools such as SQL, Python, R, and business intelligence platforms (e.g., Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc.) to develop analytics solutions.
                • Provide support and guidance on data tools and methodologies to team members.
                • Maintain data integrity and ensure compliance with relevant standards and best practices.

                Qualifications

                You are currently in your sophomore or junior year at an accredited university, pursuing a degree in Data Science, Data Analytics, Business Analytics, Computer Science, Artificial Intelligence, or a related field, and are excited to apply advanced analytics to real-world business challenges.

                • Strong analytical and problem-solving skills with the ability to work with complex datasets.
                • Foundational knowledge of programming languages and data analysis tools.
                • Desire to learn business automation tools such as Power BI, Power Automate, Power Apps, etc.
                • Strong skills and/or interest in AI, machine learning, and data-driven decision-making in a business context.
                • Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook).
                • Clear and confident communication skills, both written and verbal.
                • A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment.

                Skills

                • SQL
                • Python
                • R
                • Power BI
                • Power Apps
                • Power Automate
                • Tableau
                • Spotfire
                • QLIK

                Pay

                Hourly pay range: $30.00–$32.00 per hour.

                Benefits

                • Paid holidays
                • Medical benefits eligibility
                • Professional development sessions, workshops, and mentorship
                • Exposure to sales, marketing, manufacturing, product development

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