Senior Analytics Consultant
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Do NOT repeat the job title as a heading. So we can include About the role (the paragraph describing role). Responsibilities (list). Requirements (maybe combine required qualifications). Qualifications (maybe separate? Actually they said Requirements and Qualifications as possible headings. We have both required and preferred qualifications. Could put Requirements for required, and Qualifications for preferred? Or combine? Better: Use Requirements for required qualifications, and Qualifications for preferred? But they said "Requirements, Qualifications" as examples. We'll include both. Skills: maybe list proficiency in languages, tools. Could be part of qualifications. But we can create Skills section if we have explicit skill list. The posting mentions proficiency in statistical programming languages such as Python, R, or SQL. Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred: experience with big data technologies, certifications, knowledge of advanced ML techniques. So we could have Skills section summarizing those. Pay: include salary. Schedule: include work shift and regular/temporary. Benefits: include benefits description. We must not include boilerplate like EEO, etc. Also remove application instructions, accommodation request etc. Also remove "Need Help?" etc. Also remove "Regular or Temporary: Regular Language Fluency: English (Required)"? Actually language fluency is substantive; we could include in About the role or maybe as a note. But we can include in About the role paragraph? Better to keep as a short p maybe under About the role? But we can include as a separate short p? The instruction: fold minor metadata into a short
or drop it. Language fluency maybe minor metadata; we could include in a short p under About the role? Or we could drop it? It's substantive? It's a requirement: English required. Could be part of Requirements. We'll include in Requirements. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to keep all details from description, duties, qualifications, salary, benefits, shift, regular/temporary, language fluency. We must not include duplicated lines. Also remove cookie/navigation/legal/EEO etc. Let's extract content: About the role paragraph: "Performs advanced analytics and statistical modeling on technology-driven data sets to support strategic business decision making. Defines complex data requirements, collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends, delivering insights that drive business strategies and support data science and big data initiatives." Essential Duties And Responsibilities list: - Designs and executes complex data analyses to uncover actionable insights and inform business strategies. - Develops, validates, and implements advanced statistical models and machine learning algorithms. - Creates comprehensive data visualizations and dashboards to effectively communicate findings to stakeholders. - Collaborates with cross-functional teams to translate business needs into analytics solutions. - Identifies and implements process improvements to increase efficiency and automation in data analysis workflows. - Supports and contributes to complex data science and big data projects and initiatives. - Works independently on large, complex projects with limited supervision. - Provides mentorship and guidance to junior analytics professionals within project or program contexts. - Ensures adherence to data governance, privacy, and security standards in all analytics activities. - Reviews and validates data quality and integrity to maintain reliable analytics outputs. Qualifications Required: - Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience. - Minimum of 7 years of professional experience in analytics, data science, or related roles. - Proficiency in statistical programming languages such as Python, R, or SQL. - Strong expertise in data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications: - Master’s degree or higher in Data Science, Analytics, or related discipline. - Experience with big data technologies and platforms (e.g., Hadoop, Spark). - Professional certifications in analytics or data science (e.g., Certified Analytics Professional). - Experience in enterprise technology or related industry sectors. - Knowledge of advanced machine learning techniques and tools. Pay: "The annual base salary for this position is $140,000 - $180,000" 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 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." Schedule: "Work Shift: 1st shift (United States of America)" and "Regular or Temporary: Regular". Also language fluency: English (Required). Could be part of Requirements. We need to output HTML fragment only, no /. Use
for each section heading. Use - for lists. Use
for prose.
We must not include headings with empty/filler. So we will include sections: About the role, Responsibilities, Requirements, Qualifications, Skills?, Pay, Benefits, Schedule. But we need to avoid thin sections. Skills could be merged into Requirements/Qualifications. But we have separate Required and Preferred qualifications; we could have Requirements (required) and Qualifications (preferred). That seems fine. Skills maybe not needed separately. However we have explicit skill items (proficiency in languages, expertise in visualization tools). Those are already in Required qualifications. So we can keep them there.
Thus sections:
- About the role (p)
- Responsibilities (ul)
- Requirements (ul) for required qualifications
- Qualifications (ul) for preferred qualifications
- Pay (p)
- Benefits (p) maybe with multiple paragraphs? Could be one p containing all benefit info.
- Schedule (p) containing shift and regular/temporary and language fluency? Could combine.
We need to preserve all substantive info. Let's craft.
About the role p: combine the two sentences.
Responsibilities ul: each duty as li.
Requirements ul: each required qualification as li.
Qualifications ul: each preferred qualification as li.
Pay p: sentence.
Benefits p: we need to include all benefit details. Could be multiple p but we can keep one p with line breaks? Better to keep as one p with sentences.
Schedule p: include "Work Shift: 1st shift (United States of America). Regular or Temporary: Regular. Language Fluency: English (Required)." Could be one p.
Check for any duplicated lines: none.
Remove boilerplate: we removed EEO, drug free workplace, etc.
Now output HTML.
Let's craft:
About the role
Performs advanced analytics and statistical modeling on technology-driven data sets to support strategic business decision making. Defines complex data requirements, collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends, delivering insights that drive business strategies and support data science and big data initiatives.
Responsibilities
- Designs and executes complex data analyses to uncover actionable insights and inform business strategies.
- Develops, validates, and implements advanced statistical models and machine learning algorithms.
- Creates comprehensive data visualizations and dashboards to effectively communicate findings to stakeholders.
- Collaborates with cross-functional teams to translate business needs into analytics solutions.
- Identifies and implements process improvements to increase efficiency and automation in data analysis workflows.
- Supports and contributes to complex data science and big data projects and initiatives.
- Works independently on large, complex projects with limited supervision.
- Provides mentorship and guidance to junior analytics professionals within project or program contexts.
- Ensures adherence to data governance, privacy, and security standards in all analytics activities.
- Reviews and validates data quality and integrity to maintain reliable analytics outputs.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience.
- Minimum of 7 years of professional experience in analytics, data science, or related roles.
- Proficiency in statistical programming languages such as Python, R, or SQL.
- Strong expertise in data visualization tools (e.g., Tableau, Power BI).
Qualifications
- Master’s degree or higher in Data Science, Analytics, or related discipline.
- Experience with big data technologies and platforms (e.g., Hadoop, Spark).
- Professional certifications in analytics or data science (e.g., Certified Analytics Professional).
- Experience in enterprise technology or related industry sectors.
- Knowledge of advanced machine learning techniques and tools.
Pay
The annual base salary for this position is $140,000 - $180,000.
Benefits
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.
Schedule
Work Shift: 1st shift (United States of America). Regular or Temporary: Regular. Language Fluency: English (Required).
Check: Did we include all substantive info? Yes.
We omitted the sentence "Regular
for prose. We must not include headings with empty/filler. So we will include sections: About the role, Responsibilities, Requirements, Qualifications, Skills?, Pay, Benefits, Schedule. But we need to avoid thin sections. Skills could be merged into Requirements/Qualifications. But we have separate Required and Preferred qualifications; we could have Requirements (required) and Qualifications (preferred). That seems fine. Skills maybe not needed separately. However we have explicit skill items (proficiency in languages, expertise in visualization tools). Those are already in Required qualifications. So we can keep them there. Thus sections: - About the role (p) - Responsibilities (ul) - Requirements (ul) for required qualifications - Qualifications (ul) for preferred qualifications - Pay (p) - Benefits (p) maybe with multiple paragraphs? Could be one p containing all benefit info. - Schedule (p) containing shift and regular/temporary and language fluency? Could combine. We need to preserve all substantive info. Let's craft. About the role p: combine the two sentences. Responsibilities ul: each duty as li. Requirements ul: each required qualification as li. Qualifications ul: each preferred qualification as li. Pay p: sentence. Benefits p: we need to include all benefit details. Could be multiple p but we can keep one p with line breaks? Better to keep as one p with sentences. Schedule p: include "Work Shift: 1st shift (United States of America). Regular or Temporary: Regular. Language Fluency: English (Required)." Could be one p. Check for any duplicated lines: none. Remove boilerplate: we removed EEO, drug free workplace, etc. Now output HTML. Let's craft:
About the role
Performs advanced analytics and statistical modeling on technology-driven data sets to support strategic business decision making. Defines complex data requirements, collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends, delivering insights that drive business strategies and support data science and big data initiatives.
Responsibilities
- Designs and executes complex data analyses to uncover actionable insights and inform business strategies.
- Develops, validates, and implements advanced statistical models and machine learning algorithms.
- Creates comprehensive data visualizations and dashboards to effectively communicate findings to stakeholders.
- Collaborates with cross-functional teams to translate business needs into analytics solutions.
- Identifies and implements process improvements to increase efficiency and automation in data analysis workflows.
- Supports and contributes to complex data science and big data projects and initiatives.
- Works independently on large, complex projects with limited supervision.
- Provides mentorship and guidance to junior analytics professionals within project or program contexts.
- Ensures adherence to data governance, privacy, and security standards in all analytics activities.
- Reviews and validates data quality and integrity to maintain reliable analytics outputs.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, a related field or equivalent education, training, and work-related experience.
- Minimum of 7 years of professional experience in analytics, data science, or related roles.
- Proficiency in statistical programming languages such as Python, R, or SQL.
- Strong expertise in data visualization tools (e.g., Tableau, Power BI).
Qualifications
- Master’s degree or higher in Data Science, Analytics, or related discipline.
- Experience with big data technologies and platforms (e.g., Hadoop, Spark).
- Professional certifications in analytics or data science (e.g., Certified Analytics Professional).
- Experience in enterprise technology or related industry sectors.
- Knowledge of advanced machine learning techniques and tools.
Pay
The annual base salary for this position is $140,000 - $180,000.
Benefits
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.
Schedule
Work Shift: 1st shift (United States of America). Regular or Temporary: Regular. Language Fluency: English (Required).
Check: Did we include all substantive info? Yes. We omitted the sentence "Regular