Manager, Insights, Amazon Focus
Tinuiti · United States · 1 mo ago
RemoteRemoteOTHR$95k–$110k/yrFull-time
We need to output HTML fragment with sections: About the role? The posting includes "Who We Are" and "We’d Love To Hear From You". But we need to use headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should include only sections with real content.
We have content: "Who We Are" could map to About the role? Actually "About the role" is typical. The posting includes description of role: As a Data Analyst within Tinuiti's Client Delivery team... So we can put that under About the role.
Responsibilities: we have a list.
Qualifications: we have a list.
Skills: maybe we can extract from qualifications? But we have separate Skills section maybe not needed if content overlaps. The instruction: prefer few substantive sections over many thin ones. We could combine Qualifications and Skills? But we need to follow headings exactly if we include them. We could include Qualifications and maybe Skills not needed if no distinct content. However we have qualifications list includes many items; we could treat that as Qualifications. Skills could be omitted.
Benefits: we have benefits section.
Pay: we have salary range and incentive pay.
Schedule: we have remote work mention: "We support 100% remote work for this role!" That's schedule info (remote). So we can include Schedule.
We must not repeat job title as heading. No Job ID.
We must remove boilerplate: EEO, disclaimer, etc.
We must preserve all substantive information.
We need to use for section headings. Use
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to output only HTML fragment.
Let's craft:
About the role
As a Data Analyst within Tinuiti's Client Delivery team, you will play a crucial role in providing data-driven insights and strategic recommendations directly to our clients. You will be instrumental in leveraging data from Amazon Marketing Cloud (AMC) and Amazon Advertising to optimize their marketing performance and achieve their business goals on the Amazon platform. You will work closely with client-facing marketing managers, campaign specialists, and other stakeholders, both internally and externally, to translate complex data into clear, compelling narratives and actionable strategies. This role also offers opportunities to contribute to data science projects, providing a pathway for growth within the company. Tinuiti supports 100% remote work for this role.
But remote work maybe better under Schedule. However we can include remote in About the role? The instruction: schedule section only if posting actually states them. It does state remote work. So we could put remote under Schedule. Let's keep About the role without remote mention, and put remote under Schedule.
Thus About the role paragraph: description of role.
Responsibilities: list.
Qualifications: list.
Benefits: list.
Pay: paragraph with salary range and incentive pay.
Schedule: paragraph about remote work.
We must not include sections with filler like "not specified". All good.
Now extract responsibilities list from posting:
- Extract, clean, transform, and load data from Amazon Marketing Cloud (AMC), Amazon Advertising (Seller Central/Vendor Central), and potentially other relevant data sources.
- Deeply understand and effectively utilize Amazon Marketing Cloud to conduct advanced audience segmentation, campaign performance analysis, path-to-conversion studies, and other custom analyses for client accounts.
- Monitor and analyze key performance indicators (KPIs) across various Amazon Advertising channels (Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP) for our clients.
- Develop and maintain regular and client-facing reports and dashboards to visualize key trends, campaign performance, and insights.
- Identify significant trends, anomalies, and opportunities for optimization within Amazon marketing and advertising data specific to client objectives.
- Translate data insights into actionable recommendations and present them directly to clients to improve campaign efficiency, targeting strategies, and overall marketing effectiveness on Amazon.
- Collaborate with client teams to design and analyze A/B tests and other experiments to measure the impact of marketing initiatives.
- Effectively communicate data findings, insights, and recommendations to clients in a clear and concise manner, both verbally and in writing.
- Partner closely with internal marketing managers and campaign specialists, as well as directly with client stakeholders, to understand their data needs and provide relevant analysis and support.
- Maintain clear and concise documentation of data sources, methodologies, and reporting processes for client accounts.
- Keep abreast of the latest features and updates within Amazon Marketing Cloud and Amazon Advertising to provide clients with the most up-to-date strategies.
- Assist in developing predictive models for forecasting client product demand on Amazon.
- Contribute to client projects involving customer segmentation and lifetime value analysis to inform their Amazon strategy.
- Support the development of algorithms to optimize bidding strategies on Amazon Advertising for client campaigns.
That's many items; we keep them.
Qualifications list:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Master’s degree in Data Science preferred
- Strong proficiency and hands-on experience with Amazon Marketing Cloud (AMC). This includes data querying, audience building, and leveraging AMC tools for advanced analysis to address client needs.
- Experience with Amazon Advertising platforms (Seller Central and/or Vendor Central). Understanding of campaign structures, reporting metrics, and optimization levers is crucial for client success.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and draw meaningful conclusions relevant to client business objectives.
- Strong data visualization skills and experience with tools such as Tableau, Power BI, or Google Data Studio to create compelling client-facing reports.
- Proficiency in SQL for data querying and manipulation.
- Familiarity with scripting languages like Python or R is a plus.
- Excellent communication and presentation skills with the ability to effectively communicate technical findings and strategic recommendations to clients of varying technical understanding.
- Strong attention to detail and a commitment to data accuracy in all client deliverables.
- Ability to manage multiple client projects and deadlines in a fast-paced environment.
- Ability to work independently and collaboratively within internal teams and directly with clients.
Benefits list:
- Unlimited PTO
- 20 paid holidays, including multiple long weekends
- Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts
- Retirement: Match up to 4% of your contributions at 100%
- Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving, Equity
- Parental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child.
- Learning and Development: On-demand learning, mentorship program, leadership and management development programs and resources
Pay: "The hiring salary range for this role is $95,000 - $110,000 . We also offer an incentive pay program (RevShare) comprising a monthly variable revenue payment opportunity and a discretionary annual performance bonus."
Schedule: "We support 100% remote work for this role!"
We should also maybe mention flexibility? Already covered.
Now produce HTML.
Make sure no extra text outside.
Let's craft:
About the role
As a Data Analyst within Tinuiti's Client Delivery team, you will play a crucial role in providing data-driven insights and strategic recommendations directly to our clients. You will be instrumental in leveraging data from Amazon Marketing Cloud (AMC) and Amazon Advertising to optimize their marketing performance and achieve their business goals on the Amazon platform. You will work closely with client-facing marketing managers, campaign specialists, and other stakeholders, both internally and externally, to translate complex data into clear, compelling narratives and actionable strategies. This role also offers opportunities to contribute to data science projects, providing a pathway for growth within the company.
Responsibilities
- Extract, clean, transform, and load data from Amazon Marketing Cloud (AMC), Amazon Advertising (Seller Central/Vendor Central), and potentially other relevant data sources.
- Deeply understand and effectively utilize Amazon Marketing Cloud to conduct advanced audience segmentation, campaign performance analysis, path-to-conversion studies, and other custom analyses for client accounts.
- Monitor and analyze key performance indicators (KPIs) across various Amazon Advertising channels (Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP) for our clients.
- Develop and maintain regular and client-facing reports and dashboards to visualize key trends, campaign performance, and insights.
- Identify significant trends, anomalies, and opportunities for optimization within Amazon marketing and advertising data specific to client objectives.
- Translate data insights into actionable recommendations and present them directly to clients to improve campaign efficiency, targeting strategies, and overall marketing effectiveness on Amazon.
- Collaborate with client teams to design and analyze A/B tests and other experiments to measure the impact of marketing initiatives.
- Effectively communicate data findings, insights, and recommendations to clients in a clear and concise manner, both verbally and in writing.
- Partner closely with internal marketing managers and campaign specialists, as well as directly with client stakeholders, to understand their data needs and provide relevant analysis and support.
- Maintain clear and concise documentation of data sources, methodologies, and reporting processes for client accounts.
- Keep abreast of the latest features and updates within Amazon Marketing Cloud and Amazon Advertising to provide clients with the most up-to-date strategies.
- Assist in developing predictive models for forecasting client product demand on Amazon.
- Contribute to client projects involving customer segmentation and lifetime value analysis to inform their Amazon strategy.
- Support the development of algorithms to optimize bidding strategies on Amazon Advertising for client campaigns.
Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Master’s degree in Data Science preferred
- Strong proficiency and hands-on experience with Amazon Marketing Cloud (AMC). This includes data querying, audience building, and leveraging AMC tools for advanced analysis to address client needs.
- Experience with Amazon Advertising platforms (Seller Central and/or Vendor Central). Understanding of campaign structures, reporting metrics, and optimization levers is crucial for client success.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and draw meaningful conclusions relevant to client business objectives.
- Strong data visualization skills and experience with tools such as Tableau, Power BI, or Google Data Studio to create compelling client-facing reports.
- Proficiency in SQL for data querying and manipulation.
- Familiarity with scripting languages like Python or R is a plus.
- Excellent communication and presentation skills with the ability to effectively communicate technical findings and strategic recommendations to clients of varying technical understanding.
- Strong attention to detail and a commitment to data accuracy in all client deliverables.
- Ability to manage multiple client projects and deadlines in a fast-paced environment.
- Ability to work independently and collaboratively within internal teams and directly with clients.
Benefits
- Unlimited PTO
- 20 paid holidays, including multiple long weekends
- Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts
- Retirement: Match up to 4% of your contributions at 100%
- Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving, Equity
- Parental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child.
- Learning and Development: On-demand learning, mentorship program, leadership and management development programs and resources
for prose. We need to output only HTML fragment. Let's craft:
About the role
As a Data Analyst within Tinuiti's Client Delivery team, you will play a crucial role in providing data-driven insights and strategic recommendations directly to our clients. You will be instrumental in leveraging data from Amazon Marketing Cloud (AMC) and Amazon Advertising to optimize their marketing performance and achieve their business goals on the Amazon platform. You will work closely with client-facing marketing managers, campaign specialists, and other stakeholders, both internally and externally, to translate complex data into clear, compelling narratives and actionable strategies. This role also offers opportunities to contribute to data science projects, providing a pathway for growth within the company. Tinuiti supports 100% remote work for this role.
But remote work maybe better under Schedule. However we can include remote in About the role? The instruction: schedule section only if posting actually states them. It does state remote work. So we could put remote under Schedule. Let's keep About the role without remote mention, and put remote under Schedule. Thus About the role paragraph: description of role. Responsibilities: list. Qualifications: list. Benefits: list. Pay: paragraph with salary range and incentive pay. Schedule: paragraph about remote work. We must not include sections with filler like "not specified". All good. Now extract responsibilities list from posting: - Extract, clean, transform, and load data from Amazon Marketing Cloud (AMC), Amazon Advertising (Seller Central/Vendor Central), and potentially other relevant data sources. - Deeply understand and effectively utilize Amazon Marketing Cloud to conduct advanced audience segmentation, campaign performance analysis, path-to-conversion studies, and other custom analyses for client accounts. - Monitor and analyze key performance indicators (KPIs) across various Amazon Advertising channels (Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP) for our clients. - Develop and maintain regular and client-facing reports and dashboards to visualize key trends, campaign performance, and insights. - Identify significant trends, anomalies, and opportunities for optimization within Amazon marketing and advertising data specific to client objectives. - Translate data insights into actionable recommendations and present them directly to clients to improve campaign efficiency, targeting strategies, and overall marketing effectiveness on Amazon. - Collaborate with client teams to design and analyze A/B tests and other experiments to measure the impact of marketing initiatives. - Effectively communicate data findings, insights, and recommendations to clients in a clear and concise manner, both verbally and in writing. - Partner closely with internal marketing managers and campaign specialists, as well as directly with client stakeholders, to understand their data needs and provide relevant analysis and support. - Maintain clear and concise documentation of data sources, methodologies, and reporting processes for client accounts. - Keep abreast of the latest features and updates within Amazon Marketing Cloud and Amazon Advertising to provide clients with the most up-to-date strategies. - Assist in developing predictive models for forecasting client product demand on Amazon. - Contribute to client projects involving customer segmentation and lifetime value analysis to inform their Amazon strategy. - Support the development of algorithms to optimize bidding strategies on Amazon Advertising for client campaigns. That's many items; we keep them. Qualifications list: - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. - Master’s degree in Data Science preferred - Strong proficiency and hands-on experience with Amazon Marketing Cloud (AMC). This includes data querying, audience building, and leveraging AMC tools for advanced analysis to address client needs. - Experience with Amazon Advertising platforms (Seller Central and/or Vendor Central). Understanding of campaign structures, reporting metrics, and optimization levers is crucial for client success. - Excellent analytical and problem-solving skills with the ability to interpret complex data and draw meaningful conclusions relevant to client business objectives. - Strong data visualization skills and experience with tools such as Tableau, Power BI, or Google Data Studio to create compelling client-facing reports. - Proficiency in SQL for data querying and manipulation. - Familiarity with scripting languages like Python or R is a plus. - Excellent communication and presentation skills with the ability to effectively communicate technical findings and strategic recommendations to clients of varying technical understanding. - Strong attention to detail and a commitment to data accuracy in all client deliverables. - Ability to manage multiple client projects and deadlines in a fast-paced environment. - Ability to work independently and collaboratively within internal teams and directly with clients. Benefits list: - Unlimited PTO - 20 paid holidays, including multiple long weekends - Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts - Retirement: Match up to 4% of your contributions at 100% - Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving, Equity - Parental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child. - Learning and Development: On-demand learning, mentorship program, leadership and management development programs and resources Pay: "The hiring salary range for this role is $95,000 - $110,000 . We also offer an incentive pay program (RevShare) comprising a monthly variable revenue payment opportunity and a discretionary annual performance bonus." Schedule: "We support 100% remote work for this role!" We should also maybe mention flexibility? Already covered. Now produce HTML. Make sure no extra text outside. Let's craft:About the role
As a Data Analyst within Tinuiti's Client Delivery team, you will play a crucial role in providing data-driven insights and strategic recommendations directly to our clients. You will be instrumental in leveraging data from Amazon Marketing Cloud (AMC) and Amazon Advertising to optimize their marketing performance and achieve their business goals on the Amazon platform. You will work closely with client-facing marketing managers, campaign specialists, and other stakeholders, both internally and externally, to translate complex data into clear, compelling narratives and actionable strategies. This role also offers opportunities to contribute to data science projects, providing a pathway for growth within the company.
Responsibilities
- Extract, clean, transform, and load data from Amazon Marketing Cloud (AMC), Amazon Advertising (Seller Central/Vendor Central), and potentially other relevant data sources.
- Deeply understand and effectively utilize Amazon Marketing Cloud to conduct advanced audience segmentation, campaign performance analysis, path-to-conversion studies, and other custom analyses for client accounts.
- Monitor and analyze key performance indicators (KPIs) across various Amazon Advertising channels (Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP) for our clients.
- Develop and maintain regular and client-facing reports and dashboards to visualize key trends, campaign performance, and insights.
- Identify significant trends, anomalies, and opportunities for optimization within Amazon marketing and advertising data specific to client objectives.
- Translate data insights into actionable recommendations and present them directly to clients to improve campaign efficiency, targeting strategies, and overall marketing effectiveness on Amazon.
- Collaborate with client teams to design and analyze A/B tests and other experiments to measure the impact of marketing initiatives.
- Effectively communicate data findings, insights, and recommendations to clients in a clear and concise manner, both verbally and in writing.
- Partner closely with internal marketing managers and campaign specialists, as well as directly with client stakeholders, to understand their data needs and provide relevant analysis and support.
- Maintain clear and concise documentation of data sources, methodologies, and reporting processes for client accounts.
- Keep abreast of the latest features and updates within Amazon Marketing Cloud and Amazon Advertising to provide clients with the most up-to-date strategies.
- Assist in developing predictive models for forecasting client product demand on Amazon.
- Contribute to client projects involving customer segmentation and lifetime value analysis to inform their Amazon strategy.
- Support the development of algorithms to optimize bidding strategies on Amazon Advertising for client campaigns.
Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Master’s degree in Data Science preferred
- Strong proficiency and hands-on experience with Amazon Marketing Cloud (AMC). This includes data querying, audience building, and leveraging AMC tools for advanced analysis to address client needs.
- Experience with Amazon Advertising platforms (Seller Central and/or Vendor Central). Understanding of campaign structures, reporting metrics, and optimization levers is crucial for client success.
- Excellent analytical and problem-solving skills with the ability to interpret complex data and draw meaningful conclusions relevant to client business objectives.
- Strong data visualization skills and experience with tools such as Tableau, Power BI, or Google Data Studio to create compelling client-facing reports.
- Proficiency in SQL for data querying and manipulation.
- Familiarity with scripting languages like Python or R is a plus.
- Excellent communication and presentation skills with the ability to effectively communicate technical findings and strategic recommendations to clients of varying technical understanding.
- Strong attention to detail and a commitment to data accuracy in all client deliverables.
- Ability to manage multiple client projects and deadlines in a fast-paced environment.
- Ability to work independently and collaboratively within internal teams and directly with clients.
Benefits
- Unlimited PTO
- 20 paid holidays, including multiple long weekends
- Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts
- Retirement: Match up to 4% of your contributions at 100%
- Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving, Equity
- Parental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child.
- Learning and Development: On-demand learning, mentorship program, leadership and management development programs and resources