Jobs · Information Technology · Texas

Associate Data Insights Consultant

MAP · Austin, TX · 1 mo ago
HybridInformation TechnologyFull-time
We need to produce HTML fragment with sections: headings using

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info, remove boilerplate (EEO, privacy, etc). Must not include placeholder sections. We need to parse the posting. Content: - Who We Are MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems... (some intro). This is about the company. Could be "About the role"? Actually "Who We Are" is company description. Could be placed under "About the role"? Usually "About the role" is description of role. But we have "What will your day look like?" then "Skills". Then "Who are you going to work with?" then "What do you bring to the table?" then "In Addition You Have". Then later sections about VML MAP etc. Also there is "A leader in personalized customer experiences VML MAP...". That's more about the team. We need to decide sections: maybe "About the role" (description of role), "Responsibilities" (tasks), "Requirements" (experience/skills), "Qualifications" maybe overlapping, "Skills" (tools). But we must not create thin sections. Use only sections with substantive content. Let's extract substantive content: Company description: "MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses." Also later: "About WPP MAP is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel." Also later: "A leader in personalized customer experiences VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences." These are company/team descriptions. Could be under "About the role" or maybe separate "About the team". But we only have allowed headings list; we could use "About the role" for role description, but company description could go there as well. However "About the role" is supposed to describe the role, not company. But we can still put company info there if no better heading. The instruction: "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It suggests these are examples; we can use those headings if appropriate. We could also create other headings? It says "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid other headings, but likely they expect those. Safer to stick to those. We need to decide which sections have content. - About the role: could include description of role: "Are your analytical and data modelling skills starting to shine? Are you eager to build data models, learn advanced analytics, and help support marketing insights for global brands? Would you like an exciting starting point in your career with plenty of opportunity to grow? Then you might be the Associate Data Insights Consultant we are looking for!" plus maybe "What will your day look like?" and description of team. But we also have "What will your day look like?" then a list of tasks. Thus we could have:

About the role

Are your analytical and data modelling skills starting to shine? Are you eager to build data models, learn advanced analytics, and help support marketing insights for global brands? Would you like an exciting starting point in your career with plenty of opportunity to grow? Then you might be the Associate Data Insights Consultant we are looking for!

Then maybe

Responsibilities

with the list of tasks. Then

Requirements

with "What do you bring to the table?" and "In Addition You Have". Then maybe

Skills

for specific tools: SQL, Power BI, Tableau, Looker, etc. But we need to avoid duplication. Let's extract. From "What will your day look like?" then "Skills As our new Associate Data Insights Consultant, you will join our growing Business Insights team. Here, you will apply your emerging data skills and business curiosity to help our clients make data-driven decisions that improve their digital communication. Working alongside senior team members, you will assist in designing data solutions and data integrations for various campaign platforms. More specifically, your tasks will include: Assisting in the design of value-adding insight solutions, leveraging data to optimize communication strategies.Helping interpret business requests and clarifying data requirements.Supporting data modeling and project scoping under the guidance of senior consultants.Providing answers and insights to business-related questions via automated reporting solutions and ad-hoc data analyses.Collaborating with cross-functional team members, including Account Managers, Architects, Developers, Data Scientists, and Marketing Operations experts.Promoting a data-driven mindset in digital marketing context." That's responsibilities. Then "Who are you going to work with?" description of team. Then "What do you bring to the table?" personal traits. Then "In Addition You Have" list of experience/skills. Then later sections about VML MAP etc. That's more company/team description; could be included in About the role or maybe a separate section like "About the team". But we don't have that heading; we could put under About the role as well. We must not include boilerplate like EEO, privacy, etc. Thus final HTML:

About the role

Are your analytical and data modelling skills starting to shine? Are you eager to build data models, learn advanced analytics, and help support marketing insights for global brands? Would you like an exciting starting point in your career with plenty of opportunity to grow? Then you might be the Associate Data Insights Consultant we are looking for!

MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses.

About WPP MAP is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.

A leader in personalized customer experiences VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

Then Responsibilities:

Responsibilities

  • Assisting in the design of value-adding insight solutions, leveraging data to optimize communication strategies.
  • Helping interpret business requests and clarifying data requirements.
  • Supporting data modeling and project scoping under the guidance of senior consultants.
  • Providing answers and insights to business-related questions via automated reporting solutions and ad-hoc data analyses.
  • Collaborating with cross-functional team members, including Account Managers, Architects, Developers, Data Scientists, and Marketing Operations experts.
  • Promoting a data-driven mindset in digital marketing context.
Then Requirements/Qualifications/Skills. We have personal traits: outgoing, curious, excited to work on interdisciplinary projects, eager to learn, adaptable, quick to grasp digital marketing concepts and technologies, enjoy working in teams, keen to grow client-facing communication skills under mentorship. Then "In Addition You Have": 0–2 years of experience (or a relevant educational background/internships) in data, BI, analytics, or reporting solutions. Foundational hands-on experience or coursework in SQL, databases, and reporting techniques. Basic experience building reports or dashboards using Power BI, Tableau, Looker, or similar tools. Familiarity with database and data model design for analytics is a plus. Exposure to Google Analytics / Google Insights is an advantage. Good communication skills in English. We could combine into Requirements section. Thus:

Requirements

  • 0–2 years of experience (or a relevant educational background/internships) in data, BI, analytics, or reporting solutions.
  • Foundational hands-on experience or coursework in SQL, databases, and reporting techniques.
  • Basic experience building reports or dashboards using Power BI, Tableau, Looker, or similar tools.
  • Familiarity with database and data model design for analytics is a plus.
  • Exposure to Google Analytics / Google Insights is an advantage.
  • Good communication skills in English.
Then maybe Skills section for personal traits? But we already have personal traits; could be under Requirements as well. Or we could have a Skills section for personal attributes: outgoing, curious, etc. But we might avoid duplication. We could put personal traits under Requirements as well, but they are not experience/skills. Could be under "Qualifications". However we have no separate Qualifications heading; we could use Requirements for both. But we need to avoid thin sections. If we put all under Requirements, it's fine. We must not include Pay, Schedule, Benefits as they are not specified. Thus final HTML includes About the role, Responsibilities, Requirements. Check for any leftover substantive info not captured: "Who are you going to work with?" description of team: "You will join a team of hands-on Data Analysts, Data Scientists, Consultants, and Data Engineers who are passionate about

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