Analytics Consultant
- . Then "Qualifications Required Qualifications" and "Preferred Qualifications". Those are qualifications. Could combine into Requirements? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Skills). We need to decide which sections to include.
We have content for About the role, Responsibilities (essential duties), Qualifications (required and preferred). Also we have Pay: "The annual base salary for this position is $110,000 to $140,000." So we can include Pay section.
Benefits: there is a paragraph describing benefits. So include Benefits.
Schedule: we have "Work Shift: 1st shift (United States of America)" and "Regular or Temporary: Regular". That's schedule info. So include Schedule.
Skills: maybe we can infer from qualifications: proficiency in SQL, Python, R, Tableau, Power BI. Could be a Skills section. But we have qualifications covering that. The instruction: prefer a few substantive sections over many thin ones. Could combine qualifications and skills? But we have separate headings list. Might include Qualifications and Skills separate if we have content. We have qualifications (required/preferred) and we could extract skills from that. However we could just have Qualifications section covering both required and preferred, and maybe not need separate Skills. Since we have qualifications content, we can put that under Qualifications. Skills could be omitted if not distinct.
Thus sections: About the role, Responsibilities, Qualifications, Benefits, Pay, Schedule.
We must not repeat job title as heading. No Job ID etc. Remove boilerplate: application instructions, EEO, etc. Also remove "Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America)"? Actually we need schedule info; we can keep that but not as heading? We'll put schedule info under Schedule section.
We need to preserve all substantive information; do not invent or summarize away detail. So we need to include all details from the posting that are substantive.
Let's extract:
About the role: first paragraph after "Please review the following job description:" (the description). Also maybe the sentence before that? The posting says: "Performs analytics, reporting, dashboard development, and process automation on technology-driven data sets to support business decision making. Defines data requirements; collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends; and provides actionable insights that inform business strategies. Creates and maintains dashboards, scorecards, recurring and ad hoc reporting, executive reporting, and automated workflows that improve operational efficiency, strengthen data quality, and support complex data science initiatives."
That's it.
Responsibilities: list of essential duties:
- Collects, processes, cleans, validates, and reconciles large technology-related data sets to ensure accuracy and reliability.
- Analyzes data to identify trends, patterns, anomalies, and business impacts that support informed business decisions.
- Designs, develops, and maintains dashboards, scorecards, and data visualizations that communicate actionable insights to leadership and stakeholders.
- Provides support for building custom dashboards and ad hoc reports.
- Creates, manages, and delivers all recurring and ad hoc operational, risk, financial, governance, and executive reporting, ensuring accuracy, consistency, and timely distribution.
- Develops automated reporting, data collection, data transformation, and workflow solutions to reduce manual effort, improve efficiency, and strengthen data quality.
- Builds and maintains data pipelines, queries, models, and reporting solutions using analytics, automation, and business intelligence tools.
- Collaborates with cross-functional teams to define reporting requirements and establish key performance indicators, key risk indicators, and other performance metrics.
- Develops and apply statistical models and algorithms to support predictive analytics and business forecasting.
- Identifies opportunities to streamline, standardize, and automate reporting and analytics processes.
- Supports complex data science and big data initiatives by providing expert analytics input.
- Works independently on moderately complex projects with limited supervision.
- May provide guidance to junior analytics professionals within project contexts.
- Ensures compliance with data governance and security standards in all analytics activities.
We need to keep all that.
Qualifications: Required Qualifications list:
- Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, or related discipline.
- Minimum of 5 years of professional experience in analytics or data science roles.
- Proficiency in statistical analysis tools and programming languages such as SQL, Python, or R.
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
Preferred Qualifications:
- Advanced degree (Master’s) in Data Science, Analytics, or related field.
- Experience with big data technologies and platforms (e.g., Hadoop, Spark).
- Certifications in analytics or data science (e.g., Certified Analytics Professional).
- Experience in the enterprise technology sector or related industry.
- Familiarity with machine learning techniques and tools.
- Experience developing production dashboards, comprehensive reporting, and automated workflows using business intelligence and automation platforms.
We could combine required and preferred under Qualifications heading with subheadings? But we only allowed headings from list; we could still include
or
- inside. We'll just have two lists: Required Qualifications and Preferred Qualifications as
- Collects, processes, cleans, validates, and reconciles large technology-related data sets to ensure accuracy and reliability.
- Analyzes data to identify trends, patterns, anomalies, and business impacts that support informed business decisions.
- Designs, develops, and maintains dashboards, scorecards, and data visualizations that communicate actionable insights to leadership and stakeholders.
- Provides support for building custom dashboards and ad hoc reports.
- Creates, manages, and delivers all recurring and ad hoc operational, risk, financial, governance, and executive reporting, ensuring accuracy, consistency, and timely distribution.
- Develops automated reporting, data collection, data transformation, and workflow solutions to reduce manual effort, improve efficiency, and strengthen data quality.
- Builds and maintains data pipelines, queries, models, and reporting solutions using analytics, automation, and business intelligence tools.
- Collaborates with cross-functional teams to define reporting requirements and establish key performance indicators, key risk indicators, and other performance metrics.
- Develops and apply statistical models and algorithms to support predictive analytics and business forecasting.
- Identifies opportunities to streamline, standardize, and automate reporting and analytics processes.
- Supports complex data science and big data initiatives by providing expert analytics input.
- Works independently on moderately complex projects with limited supervision.
- May provide guidance to junior analytics professionals within project contexts.
- Ensures compliance with data governance and security standards in all analytics activities.
- Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, or related discipline.
- Minimum of 5 years of professional experience in analytics or data science roles.
- Proficiency in statistical analysis tools and programming languages such as SQL, Python, or R.
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
- Advanced degree (Master’s) in Data Science, Analytics, or related field.
- Experience with big data technologies and platforms (e.g., Hadoop, Spark).
- Certifications in analytics or data science (e.g., Certified Analytics Professional).
- Experience in the enterprise technology sector or related industry.
- Familiarity with machine learning techniques and tools.
- Experience developing production dashboards, comprehensive reporting, and automated workflows using business intelligence and automation platforms.
- maybe with a preceding
indicating required/preferred. But we cannot add extra headings not in list. However we can include a
saying "Required Qualifications:" then list. That's okay. Pay: "The annual base salary for this position is $110,000 to $140,000." Benefits: paragraph: "General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work." We need to keep all that. Remove the invitation to visit Benefits site? It's substantive; we keep. Schedule: we have "Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America)". Also maybe "Regular or Temporary: Regular". We'll include schedule info: Employment type: Regular (not temporary). Language fluency: English required. Work shift: 1st shift (United States of America). We'll put that in Schedule section. We must not include boilerplate like EEO, Drug Free Workplace, etc. Remove those lines. Now produce HTML fragment:
About the role
Performs analytics, reporting, dashboard development, and process automation on technology-driven data sets to support business decision making. Defines data requirements; collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends; and provides actionable insights that inform business strategies. Creates and maintains dashboards, scorecards, recurring and ad hoc reporting, executive reporting, and automated workflows that improve operational efficiency, strengthen data quality, and support complex data science initiatives.
Responsibilities
Qualifications
Required Qualifications:
Preferred Qualifications:
Benefits
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 1