Operational Insights Specialist
DailyPay · United States · 1 mo ago
RemoteRemoteManagementFull-time
We need to output HTML fragment with sections: About Us? Actually "About Us" is a section heading? The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should include sections that have real content. The posting includes: About Us (company description), The Role (description of responsibilities), How You Will Make An Impact (list of duties), What You Bring To The Team (requirements/qualifications), What We Offer (benefits). Also mention hybrid location note. Should we include location as part of About Us? Probably as a short paragraph.
We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, accommodation request, etc. Also remove "Learn more at DailyPay's Press Center." That's maybe not needed? It's part of About Us? It's a link; we can keep as prose? It's not boilerplate? It's maybe okay to keep but it's not essential. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The accommodation request and EEO are boilerplate; remove them. Also "Learn more at DailyPay's Press Center." maybe not boilerplate but could be considered navigation? It's a link to press center; maybe keep as part of About Us? It's not essential but we can keep as prose.
We need to preserve all substantive information. So we keep About Us description, hybrid note, role description, impact bullet list (as
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should include sections that have real content. The posting includes: About Us (company description), The Role (description of responsibilities), How You Will Make An Impact (list of duties), What You Bring To The Team (requirements/qualifications), What We Offer (benefits). Also mention hybrid location note. Should we include location as part of About Us? Probably as a short paragraph.
We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, accommodation request, etc. Also remove "Learn more at DailyPay's Press Center." That's maybe not needed? It's part of About Us? It's a link; we can keep as prose? It's not boilerplate? It's maybe okay to keep but it's not essential. The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The accommodation request and EEO are boilerplate; remove them. Also "Learn more at DailyPay's Press Center." maybe not boilerplate but could be considered navigation? It's a link to press center; maybe keep as part of About Us? It's not essential but we can keep as prose.
We need to preserve all substantive information. So we keep About Us description, hybrid note, role description, impact bullet list (as - ), qualifications bullet list, benefits list.
We must not create sections with filler like "Pay" or "Schedule" if not present. There's no explicit pay or schedule. So we omit those sections.
We need to decide headings: About Us (maybe as
About Us
), The Role (maybe as The Role
), How You Will Make An Impact (could be Responsibilities), What You Bring To The Team (maybe Requirements/Qualifications), What We Offer (Benefits). Use for each.
Inside each section, use
for prose,
- for lists.
Let's extract content.
About Us: "DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center. ***This role will be hybrid in our New York City or Minneapolis Office***"
We need to keep hybrid note. So combine.
The Role: "The Operational Insights Specialist is responsible for supporting daily contact center analytics and embedding generative AI tools into routine operational and reporting workflows. Applying foundational analytical skills and professional expertise, this role utilizes established AI models and prompt pipelines to process unstructured customer interaction data. You will work within defined frameworks to generate actionable reports on customer sentiment, agent performance, and operational trends for management review. Through routine data validation and prompt execution, you will help improve analytical efficiency and drive continuous service improvements across the department."
How You Will Make An Impact: list items:
- AI Workflow Execution: Execute and monitor automated AI prompt pipelines to analyze daily contact center interaction logs, transcripts, and customer sentiment metrics
- Data Synthesis & Insights: Transform unstructured contact center data into structured summary metrics highlighting operational bottlenecks, agent performance, and emerging trends
- Dashboard Maintenance: Maintain recurring visual dashboards, executive summaries, and performance scorecards using SQL and BI platforms like Tableau or Snowflake
- Process Automation Support: Partner with contact center management to identify manual reporting tasks and apply standard AI tools to streamline routine data collection
- Prompt Validation & Quality: Audit AI-generated outputs and apply prompt refinement frameworks to ensure high analytical accuracy and minimize model hallucinations
- Cross-Functional Coordination: Coordinate with IT and Data Engineering teams to support standard data pipeline maintenance and ensure secure AI integration practices
- Team Enablement: Assist in documenting AI analytics workflows and support peer team members in adopting generative AI tools within daily analytical tasks
- Operational Reporting: Prepare and present routine trend analyses and respond promptly to ad hoc data requests from leadership to support operational decision-making
What You Bring To The Team: list:
- Relevant Experience: 2-3 years of experience in data analytics, business intelligence, or operational analysis, with active exposure to AI platforms or LLM workflows
- AI & Prompting Expertise: Practical experience utilizing top-tier AI models (e.g., Anthropic Claude, Google Gemini, OpenAI) and low-code/API automation tools for data processing
- Domain Knowledge: Strong understanding of Contact Center and Customer Experience (CX) metrics, including AHT, CSAT, FCR, QA scores, and speech analytics platforms
- Technical Proficiency: Proficiency in SQL and data visualization tools (e.g., Tableau, Snowflake), with familiarity using scripting languages (Python or R) for data manipulation
- Analytical Storytelling: Proven ability to synthesize complex datasets into clear, structured narratives and actionable recommendations for departmental stakeholders
- Educational Foundation: Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, or a related quantitative field
What We Offer: list:
- Exceptional health, vision, and dental care
- Opportunity for equity ownership
- Life and AD&D, short- and long-term disability
- Employee Assistance Program
- Employee Resource Groups
- Fun company outings and events
- Unlimited PTO
- 401K with company match
Also there is a paragraph about culture: "High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making. In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results. We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here."
This is substantive content about culture; could be part of Benefits or a separate section like "Culture". But the instruction only lists example headings; we can add a section if there is real content. Could be "Culture" or "Work Environment". However the instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but says use those as examples. Probably we can include a section like "Culture" if we want. But we must not create sections with filler. This is real content. Could be part of Benefits? Not exactly. Could be a separate section "Culture". However the instruction says "Prefer a few substantive sections over many thin ones." So maybe we incorporate that paragraph into Benefits or About Us? It's about company culture; could be part of About Us? Might be better to add a section "Culture". But the examples didn't include Culture; but it's not prohibited. However to be safe, we could incorporate it into Benefits section as part of what we offer (culture benefits). But the benefits list is tangible; culture is intangible. Might be okay to add a section "Culture". Let's decide: We'll add a section "Culture" with that paragraph.
But we need to ensure we don't create sections with filler. It's substantive.
Thus final sections: About Us, The Role, How You Will Make An Impact (maybe label as Responsibilities), What You Bring To The Team (maybe Requirements/Qualifications), What We Offer (Benefits), Culture.
We need to use for each heading.
Now produce HTML fragment.
Let's craft:
About Us
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work. Learn more at DailyPay's Press Center. This role will be hybrid in our New York City or Minneapolis Office.
The Role
The Operational Insights Specialist is responsible for supporting daily contact center analytics and embedding generative AI tools into routine operational and reporting workflows. Applying foundational analytical skills and professional expertise, this role utilizes established AI models and prompt pipelines to process unstructured customer interaction data. You will work within defined frameworks to generate actionable reports on customer sentiment, agent performance, and operational trends for management review. Through routine data validation and prompt execution, you will help improve analytical efficiency and drive continuous service improvements across the department.
How You Will Make An Impact
- AI Workflow Execution: Execute and monitor automated AI prompt pipelines to analyze daily contact center interaction logs, transcripts, and customer sentiment metrics
- Data Synthesis & Insights: Transform unstructured contact center data into structured summary metrics highlighting operational bottlenecks, agent performance, and emerging trends
- Dashboard Maintenance: Maintain recurring visual dashboards, executive summaries, and performance scorecards using SQL and BI platforms like Tableau or Snowflake
- Process Automation Support: Partner with contact center management to identify manual reporting tasks and apply standard AI tools to streamline routine data collection
- Prompt Validation & Quality: Audit AI-generated outputs and apply prompt refinement frameworks to ensure high analytical accuracy and minimize model hallucinations
- Cross-Functional Coordination: Coordinate with IT and Data Engineering teams to support standard data pipeline maintenance and ensure secure AI integration practices
- Team Enablement: Assist in documenting AI analytics workflows and support peer team members in adopting generative AI tools within daily analytical tasks
- Operational Reporting: Prepare and present routine trend analyses and respond promptly to ad hoc data requests from leadership to support operational decision-making
What You Bring To The Team
- Relevant Experience: 2-3 years of experience in data analytics, business intelligence, or operational analysis, with active exposure to AI platforms or LLM workflows
- AI & Prompting Expertise: Practical experience utilizing top-tier AI models (e.g., Anthropic Claude, Google Gemini, OpenAI) and low-code/API automation tools for data processing
- Domain Knowledge: Strong understanding of Contact Center and Customer Experience (CX) metrics, including AHT, CSAT, FCR, QA scores, and speech analytics platforms
- Technical Proficiency: Proficiency in SQL and data visualization tools (e.g., Tableau, Snowflake), with familiarity using scripting languages (Python or R) for data manipulation
- Analytical Storytelling: Proven ability to synthesize complex datasets into clear, structured narratives and actionable recommendations for departmental stakeholders
- Educational Foundation: Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, or a related quantitative field
What We Offer
- Exceptional health, vision, and dental care
- Opportunity for equity ownership
- Life and
About Us
), The Role (maybe asThe Role
), How You Will Make An Impact (could be Responsibilities), What You Bring To The Team (maybe Requirements/Qualifications), What We Offer (Benefits). Usefor each. Inside each section, use
for prose,
- for lists.
Let's extract content.
About Us: "DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center. ***This role will be hybrid in our New York City or Minneapolis Office***"
We need to keep hybrid note. So combine.
The Role: "The Operational Insights Specialist is responsible for supporting daily contact center analytics and embedding generative AI tools into routine operational and reporting workflows. Applying foundational analytical skills and professional expertise, this role utilizes established AI models and prompt pipelines to process unstructured customer interaction data. You will work within defined frameworks to generate actionable reports on customer sentiment, agent performance, and operational trends for management review. Through routine data validation and prompt execution, you will help improve analytical efficiency and drive continuous service improvements across the department."
How You Will Make An Impact: list items:
- AI Workflow Execution: Execute and monitor automated AI prompt pipelines to analyze daily contact center interaction logs, transcripts, and customer sentiment metrics
- Data Synthesis & Insights: Transform unstructured contact center data into structured summary metrics highlighting operational bottlenecks, agent performance, and emerging trends
- Dashboard Maintenance: Maintain recurring visual dashboards, executive summaries, and performance scorecards using SQL and BI platforms like Tableau or Snowflake
- Process Automation Support: Partner with contact center management to identify manual reporting tasks and apply standard AI tools to streamline routine data collection
- Prompt Validation & Quality: Audit AI-generated outputs and apply prompt refinement frameworks to ensure high analytical accuracy and minimize model hallucinations
- Cross-Functional Coordination: Coordinate with IT and Data Engineering teams to support standard data pipeline maintenance and ensure secure AI integration practices
- Team Enablement: Assist in documenting AI analytics workflows and support peer team members in adopting generative AI tools within daily analytical tasks
- Operational Reporting: Prepare and present routine trend analyses and respond promptly to ad hoc data requests from leadership to support operational decision-making
What You Bring To The Team: list:
- Relevant Experience: 2-3 years of experience in data analytics, business intelligence, or operational analysis, with active exposure to AI platforms or LLM workflows
- AI & Prompting Expertise: Practical experience utilizing top-tier AI models (e.g., Anthropic Claude, Google Gemini, OpenAI) and low-code/API automation tools for data processing
- Domain Knowledge: Strong understanding of Contact Center and Customer Experience (CX) metrics, including AHT, CSAT, FCR, QA scores, and speech analytics platforms
- Technical Proficiency: Proficiency in SQL and data visualization tools (e.g., Tableau, Snowflake), with familiarity using scripting languages (Python or R) for data manipulation
- Analytical Storytelling: Proven ability to synthesize complex datasets into clear, structured narratives and actionable recommendations for departmental stakeholders
- Educational Foundation: Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, or a related quantitative field
What We Offer: list:
- Exceptional health, vision, and dental care
- Opportunity for equity ownership
- Life and AD&D, short- and long-term disability
- Employee Assistance Program
- Employee Resource Groups
- Fun company outings and events
- Unlimited PTO
- 401K with company match
Also there is a paragraph about culture: "High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making. In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results. We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here."
This is substantive content about culture; could be part of Benefits or a separate section like "Culture". But the instruction only lists example headings; we can add a section if there is real content. Could be "Culture" or "Work Environment". However the instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but says use those as examples. Probably we can include a section like "Culture" if we want. But we must not create sections with filler. This is real content. Could be part of Benefits? Not exactly. Could be a separate section "Culture". However the instruction says "Prefer a few substantive sections over many thin ones." So maybe we incorporate that paragraph into Benefits or About Us? It's about company culture; could be part of About Us? Might be better to add a section "Culture". But the examples didn't include Culture; but it's not prohibited. However to be safe, we could incorporate it into Benefits section as part of what we offer (culture benefits). But the benefits list is tangible; culture is intangible. Might be okay to add a section "Culture". Let's decide: We'll add a section "Culture" with that paragraph. But we need to ensure we don't create sections with filler. It's substantive. Thus final sections: About Us, The Role, How You Will Make An Impact (maybe label as Responsibilities), What You Bring To The Team (maybe Requirements/Qualifications), What We Offer (Benefits), Culture. We need to use
for each heading. Now produce HTML fragment. Let's craft:
About Us
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work. Learn more at DailyPay's Press Center. This role will be hybrid in our New York City or Minneapolis Office.
The Role
The Operational Insights Specialist is responsible for supporting daily contact center analytics and embedding generative AI tools into routine operational and reporting workflows. Applying foundational analytical skills and professional expertise, this role utilizes established AI models and prompt pipelines to process unstructured customer interaction data. You will work within defined frameworks to generate actionable reports on customer sentiment, agent performance, and operational trends for management review. Through routine data validation and prompt execution, you will help improve analytical efficiency and drive continuous service improvements across the department.
How You Will Make An Impact
- AI Workflow Execution: Execute and monitor automated AI prompt pipelines to analyze daily contact center interaction logs, transcripts, and customer sentiment metrics
- Data Synthesis & Insights: Transform unstructured contact center data into structured summary metrics highlighting operational bottlenecks, agent performance, and emerging trends
- Dashboard Maintenance: Maintain recurring visual dashboards, executive summaries, and performance scorecards using SQL and BI platforms like Tableau or Snowflake
- Process Automation Support: Partner with contact center management to identify manual reporting tasks and apply standard AI tools to streamline routine data collection
- Prompt Validation & Quality: Audit AI-generated outputs and apply prompt refinement frameworks to ensure high analytical accuracy and minimize model hallucinations
- Cross-Functional Coordination: Coordinate with IT and Data Engineering teams to support standard data pipeline maintenance and ensure secure AI integration practices
- Team Enablement: Assist in documenting AI analytics workflows and support peer team members in adopting generative AI tools within daily analytical tasks
- Operational Reporting: Prepare and present routine trend analyses and respond promptly to ad hoc data requests from leadership to support operational decision-making
What You Bring To The Team
- Relevant Experience: 2-3 years of experience in data analytics, business intelligence, or operational analysis, with active exposure to AI platforms or LLM workflows
- AI & Prompting Expertise: Practical experience utilizing top-tier AI models (e.g., Anthropic Claude, Google Gemini, OpenAI) and low-code/API automation tools for data processing
- Domain Knowledge: Strong understanding of Contact Center and Customer Experience (CX) metrics, including AHT, CSAT, FCR, QA scores, and speech analytics platforms
- Technical Proficiency: Proficiency in SQL and data visualization tools (e.g., Tableau, Snowflake), with familiarity using scripting languages (Python or R) for data manipulation
- Analytical Storytelling: Proven ability to synthesize complex datasets into clear, structured narratives and actionable recommendations for departmental stakeholders
- Educational Foundation: Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, or a related quantitative field
What We Offer
- Exceptional health, vision, and dental care
- Opportunity for equity ownership
- Life and