Analytics and Insights Engineer II
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We need to include sections only when posting has real specific content. We have content for About the role/team, Responsibilities (Key responsibilities include...), Qualifications (Required and Preferred), Skills (maybe part of qualifications), Benefits? Not mentioned except maybe discretionary annual incentive program (benefit). Pay: wage range given $91,100 to $179,500. Schedule? Not mentioned. So we can include About the role, Responsibilities, Qualifications, Pay, Benefits (discretionary annual incentive). Also maybe Skills? Could combine with Qualifications. But we can have Skills separate if we extract skills from qualifications. However we have qualifications required and preferred; we could put them under Qualifications. Skills could be derived but we might not need separate Skills section if not explicit. The instruction: prefer a few substantive sections over many thin ones. So we can have About the role, Responsibilities, Qualifications, Pay, Benefits.
We must not repeat job title as heading. No Job ID. Remove boilerplate like recruiting end date? That's metadata; we can fold into short p or drop. The posting includes "Recruiting for this role ends on December 18, 2026". That's minor metadata; we can put in a short p maybe under About the role or separate? Probably we can include as a short p after About the role.
We must preserve all substantive information; do not invent or summarize away detail. So we need to keep the description paragraphs.
We need to use - for any list of duties/requirements/benefits. For responsibilities list, we have bullet points starting with "Leverage advanced data analytics..." etc. Those are sentences; we can make each as
- . For qualifications required and preferred, we can list as
- . For benefits: discretionary annual incentive program description; we can put as
maybe not a list. Could also list as
- if we treat as benefit.
Pay: we have wage range; we can put as
.
We must not include sections with filler like "commensurate with experience". Not present.
Now produce HTML.
Structure:
About the role
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. Recruiting for this role ends on December 18, 2026.
Responsibilities
- Leverage advanced data analytics and visualization tools to map, analyze, and optimize end-to-end customer journeys, identifying key pain points and opportunities to drive enhanced experiences and business growth.
- Uncover client's key business questions, design and execute analysis to address those questions, and be able to demonstrate the impact of recommendations across paid, owned, and earned channels.
- Bring a strong background with proven experience in marketing, advertising and commerce analytics, audience discovery and segmentation, measurement, modeling strategy, and data quality.
- Bring extensive knowledge across paid, owned, and earned, with a focus of analytical expertise in one or more of the following: omnichannel, media (display, paid search, programmatic, paid social), organic social, social listening/trend identification, site, app, email/Push/SMS - CRM, or voice of the customer/brand studies.
- Dive into large datasets, uncovering insights, and providing impactful recommendations to clients leveraging tools like Google Analytics, DV360, Ads Data Hub, Adobe Analytics, Salesforce/SFMC and more.
- Transform data into actionable insights through strong storytelling with data designed for executive-level audiences by connecting the dots across channels through data to provide a holistic view of marketing/advertising/commerce efforts.
- Create dashboards via Tableau, Datorama, Data Studio, Looker, or other similar data visualization tools.
- Support the vision and creation of measurement plans, testing plans, tagging strategies, modeling strategy, and experimentation/A/B testing deployment.
Qualifications
Required:
- 2+ years of experience in managing digital marketing/advertising analytics, including marketing mix model and/or attribution solutions for complex, large-scale clients.
- 1+ years of Adobe Customer Journey Analytics (CJA) experience.
- Bachelor's degree or equivalent professional experience.
- Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Proficient in defining analytics, modeling, tagging strategies, and developing comprehensive measurement and testing plans.
- Strong command over analytical methodologies for optimizing customer datasets and digital campaigns.
- Advanced skills in Excel, SQL, Tableau, or other data analysis tools, with a high level of competence in digital analytics and tag management solutions.
- Exceptional project management skills, with a proven track record of managing work and meeting deadlines in a highly organized and autonomous manner.
- Excellent communication, leadership, and team collaboration skills, coupled with a strong executive presence for client-facing interactions.
Pay
The wage range for this role is $91,100 to $179,500.
Benefits
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
We should not include any extra sections like Schedule.
Make sure no markdown fences. Output only HTML.
Check for any repeated content: we kept all substantive info. Did we miss any? The description about team "Our Deloitte Customer team empowers..." we included. Also the paragraph about "Deloitte Digital's Data Science and Analytics practice is seeking creative minds..." we omitted? Actually we included some of that in About the role? We included the first paragraph about team but not the second paragraph about the practice seeking creative minds. That is substantive; we should include it. Let's incorporate that into About the role as well.
We have: "Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing analytics solutions that help our clients deliver customer value at every touchpoint. Marketing and advertising analytics are at the forefront of guiding data-driven strategies by leveraging emerging technologies, keen analytical abilities and a laser focus on addressing the client's business initiatives, rooted in data. Marketing and advertising analytics are a critical influencer in what drives marketing success and is in constant exploration for clients as the discipline of a data-first mentality evolves marketing. This person will work across our Marketing, Advertising, Commerce and Product Innovation functions within Deloitte Digital, to support data-driven, analytical decisioning for our clients. This person will work cross-functionally between teams to guide measurement frameworks, learning agendas, data strategy, and performance analytics."
We should include that in About the role. Let's merge.
Thus About the role paragraph(s) will contain both.
We need to preserve all info; we can split into multiple under same heading.
Let's craft:
About the role
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.
Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing analytics solutions that help our clients deliver customer value at every touchpoint. Marketing and advertising analytics are at the forefront of guiding data-driven strategies by leveraging emerging technologies, keen analytical abilities and a laser focus on addressing the client's business initiatives, rooted in data. Marketing and advertising analytics are a critical influencer in what drives marketing success and is in constant exploration for clients as the discipline of a data-first mentality evolves marketing. This person will work across our Marketing, Advertising, Commerce and Product Innovation functions within Deloitte Digital, to support data-driven, analytical decisioning for our clients. This person will work cross-functionally between teams to guide measurement frameworks, learning agendas, data strategy, and performance analytics.
Recruiting for this role ends on December 18, 2026.
That preserves.
Now ensure we didn't miss any responsibilities: we captured all bullet points.
Qualifications: we captured required and preferred.
Pay: we captured range.
Benefits: we captured discretionary annual incentive.
Check for any other substantive info: maybe mention of "The wage range for this role takes into account the wide range of factors..." we omitted that explanatory sentence. The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. So we should include that sentence about wage range factors. Also the sentence about "At Deloitte, it is not typical for an individual to be hired at or near the top of the range..." and "The disclosed range estimate has not been adjusted for the applicable geographic differential..." etc. Those are substantive details about pay. We should include them under Pay section.
Thus Pay section should include multiple paragraphs: the range, plus the explanatory sentences.
Let's extract:
"The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance."
We already have benefits separate; but the incentive program is part of benefits. We could keep it under Benefits. However the sentence about wage range includes the range estimate; we should keep that.
Thus Pay section: include paragraphs about factors, geographic differential, typical hiring, and the range.
Benefits section: discretionary annual incentive program.
Let's adjust.
Pay:
Pay
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training
maybe not a list. Could also list as
. We must not include sections with filler like "commensurate with experience". Not present. Now produce HTML. Structure:
About the role
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. Recruiting for this role ends on December 18, 2026.
Responsibilities
- Leverage advanced data analytics and visualization tools to map, analyze, and optimize end-to-end customer journeys, identifying key pain points and opportunities to drive enhanced experiences and business growth.
- Uncover client's key business questions, design and execute analysis to address those questions, and be able to demonstrate the impact of recommendations across paid, owned, and earned channels.
- Bring a strong background with proven experience in marketing, advertising and commerce analytics, audience discovery and segmentation, measurement, modeling strategy, and data quality.
- Bring extensive knowledge across paid, owned, and earned, with a focus of analytical expertise in one or more of the following: omnichannel, media (display, paid search, programmatic, paid social), organic social, social listening/trend identification, site, app, email/Push/SMS - CRM, or voice of the customer/brand studies.
- Dive into large datasets, uncovering insights, and providing impactful recommendations to clients leveraging tools like Google Analytics, DV360, Ads Data Hub, Adobe Analytics, Salesforce/SFMC and more.
- Transform data into actionable insights through strong storytelling with data designed for executive-level audiences by connecting the dots across channels through data to provide a holistic view of marketing/advertising/commerce efforts.
- Create dashboards via Tableau, Datorama, Data Studio, Looker, or other similar data visualization tools.
- Support the vision and creation of measurement plans, testing plans, tagging strategies, modeling strategy, and experimentation/A/B testing deployment.
Qualifications
Required:
- 2+ years of experience in managing digital marketing/advertising analytics, including marketing mix model and/or attribution solutions for complex, large-scale clients.
- 1+ years of Adobe Customer Journey Analytics (CJA) experience.
- Bachelor's degree or equivalent professional experience.
- Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Proficient in defining analytics, modeling, tagging strategies, and developing comprehensive measurement and testing plans.
- Strong command over analytical methodologies for optimizing customer datasets and digital campaigns.
- Advanced skills in Excel, SQL, Tableau, or other data analysis tools, with a high level of competence in digital analytics and tag management solutions.
- Exceptional project management skills, with a proven track record of managing work and meeting deadlines in a highly organized and autonomous manner.
- Excellent communication, leadership, and team collaboration skills, coupled with a strong executive presence for client-facing interactions.
Pay
The wage range for this role is $91,100 to $179,500.
Benefits
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
We should not include any extra sections like Schedule. Make sure no markdown fences. Output only HTML. Check for any repeated content: we kept all substantive info. Did we miss any? The description about team "Our Deloitte Customer team empowers..." we included. Also the paragraph about "Deloitte Digital's Data Science and Analytics practice is seeking creative minds..." we omitted? Actually we included some of that in About the role? We included the first paragraph about team but not the second paragraph about the practice seeking creative minds. That is substantive; we should include it. Let's incorporate that into About the role as well. We have: "Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing analytics solutions that help our clients deliver customer value at every touchpoint. Marketing and advertising analytics are at the forefront of guiding data-driven strategies by leveraging emerging technologies, keen analytical abilities and a laser focus on addressing the client's business initiatives, rooted in data. Marketing and advertising analytics are a critical influencer in what drives marketing success and is in constant exploration for clients as the discipline of a data-first mentality evolves marketing. This person will work across our Marketing, Advertising, Commerce and Product Innovation functions within Deloitte Digital, to support data-driven, analytical decisioning for our clients. This person will work cross-functionally between teams to guide measurement frameworks, learning agendas, data strategy, and performance analytics." We should include that in About the role. Let's merge. Thus About the role paragraph(s) will contain both. We need to preserve all info; we can split into multipleunder same heading. Let's craft:
About the role
Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.
Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing analytics solutions that help our clients deliver customer value at every touchpoint. Marketing and advertising analytics are at the forefront of guiding data-driven strategies by leveraging emerging technologies, keen analytical abilities and a laser focus on addressing the client's business initiatives, rooted in data. Marketing and advertising analytics are a critical influencer in what drives marketing success and is in constant exploration for clients as the discipline of a data-first mentality evolves marketing. This person will work across our Marketing, Advertising, Commerce and Product Innovation functions within Deloitte Digital, to support data-driven, analytical decisioning for our clients. This person will work cross-functionally between teams to guide measurement frameworks, learning agendas, data strategy, and performance analytics.
Recruiting for this role ends on December 18, 2026.
That preserves. Now ensure we didn't miss any responsibilities: we captured all bullet points. Qualifications: we captured required and preferred. Pay: we captured range. Benefits: we captured discretionary annual incentive. Check for any other substantive info: maybe mention of "The wage range for this role takes into account the wide range of factors..." we omitted that explanatory sentence. The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. So we should include that sentence about wage range factors. Also the sentence about "At Deloitte, it is not typical for an individual to be hired at or near the top of the range..." and "The disclosed range estimate has not been adjusted for the applicable geographic differential..." etc. Those are substantive details about pay. We should include them under Pay section. Thus Pay section should include multiple paragraphs: the range, plus the explanatory sentences. Let's extract: "The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance." We already have benefits separate; but the incentive program is part of benefits. We could keep it under Benefits. However the sentence about wage range includes the range estimate; we should keep that. Thus Pay section: include paragraphs about factors, geographic differential, typical hiring, and the range. Benefits section: discretionary annual incentive program. Let's adjust. Pay:Pay
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training