What You Will Do
Amazon Marketing Cloud & Data Pulls
• Run regular data pulls from Amazon Marketing Cloud (AMC) for the portfolio of brand
accounts
• Write and maintain SQL queries against AMC clean room data — starting with
established query libraries and progressing to building your own
• Support AMC instance maintenance, audience refreshes, and routine clean room
operations
• Continuously build your AMC expertise — keeping current with feature releases and
best practices
Reporting & Dashboards
• Maintain the team's daily, weekly, and monthly reports — ensuring data accuracy and
timely delivery
• Build and update dashboards that track campaign performance, spend pacing, ROAS,
and other key metrics
• Respond to ad-hoc data requests from the Senior Manager, the execution team, and
brand partners
• Help prepare data and visuals for partner reviews and quarterly business reviews
Insights — Growing Scope
• Support path-to-conversion analysis — how customers discover and convert across
Sponsored Products, Sponsored Brands, Sponsored Display, and DSP
• Help identify where we are losing customers in the funnel and surface patterns to
investigate
• Contribute to ideal customer profiling and audience analysis for brands
• Suggest ad efficiency improvements based on data — bid strategy, budget allocation,
targeting refinement
DSP & Cross-Channel Analytics
• Support analytics for Amazon DSP campaigns — reporting, audience overlap, and
incremental measurement
• Help quantify how upper-funnel DSP activity contributes to lower-funnel conversions
• Assist with new-to-brand analysis and cross-channel reporting
Collaboration
• Work closely with Praveen (Lead Strategist) and the offshore execution team to ensure
insights are translated into action
• Partner with Usaid (Senior Manager) on partner-facing analytics and reporting cadence
• Build relationships with Brand Management, Merchandising, and SEO/Content teams as
you grow into the role
Amazon Marketing Cloud & Data Pulls
• Run regular data pulls from Amazon Marketing Cloud (AMC) for the portfolio of brand
accounts
• Write and maintain SQL queries against AMC clean room data — starting with
established query libraries and progressing to building your own
• Support AMC instance maintenance, audience refreshes, and routine clean room
operations
• Continuously build your AMC expertise — keeping current with feature releases and
best practices
Reporting & Dashboards
• Maintain the team's daily, weekly, and monthly reports — ensuring data accuracy and
timely delivery
• Build and update dashboards that track campaign performance, spend pacing, ROAS,
and other key metrics
• Respond to ad-hoc data requests from the Senior Manager, the execution team, and
brand partners
• Help prepare data and visuals for partner reviews and quarterly business reviews
Insights — Growing Scope
• Support path-to-conversion analysis — how customers discover and convert across
Sponsored Products, Sponsored Brands, Sponsored Display, and DSP
• Help identify where we are losing customers in the funnel and surface patterns to
investigate
• Contribute to ideal customer profiling and audience analysis for brands
• Suggest ad efficiency improvements based on data — bid strategy, budget allocation,
targeting refinement
DSP & Cross-Channel Analytics
• Support analytics for Amazon DSP campaigns — reporting, audience overlap, and
incremental measurement
• Help quantify how upper-funnel DSP activity contributes to lower-funnel conversions
• Assist with new-to-brand analysis and cross-channel reporting
Collaboration
• Work closely with Praveen (Lead Strategist) and the offshore execution team to ensure
insights are translated into action
• Partner with Usaid (Senior Manager) on partner-facing analytics and reporting cadence
• Build relationships with Brand Management, Merchandising, and SEO/Content teams as
you grow into the role
What You Will Need to Thrive
Must-Have
• 1–2 years of hands-on experience in analytics, data, or business intelligence — ideally in
ecommerce, advertising, or marketplaces
• Working knowledge of SQL — comfortable writing queries with joins, aggregations, and
basic optimisation
• Familiarity with Amazon Marketing Cloud (AMC) and clean room concepts — or strong
willingness to certify within the first 90 days
• Understanding of the Amazon advertising ecosystem — Sponsored Products,
Sponsored Brands, Sponsored Display, and DSP at a foundational level
• Strong attention to detail with reporting and data accuracy
• Good verbal and written communication skills — able to clearly summarise findings
• Curious, proactive, and eager to learn in a fast-paced environment
Nice to Have
• Amazon Marketing Cloud (AMC) certification (or willingness to obtain within 90 days of
joining)
• Experience with BI tools (Looker, Tableau, Power BI, Quicksight)
• Exposure to Python or R for data analysis
• Experience working with retail / ecommerce brands
• Background in marketplace marketing, particularly Amazon
Must-Have
• 1–2 years of hands-on experience in analytics, data, or business intelligence — ideally in
ecommerce, advertising, or marketplaces
• Working knowledge of SQL — comfortable writing queries with joins, aggregations, and
basic optimisation
• Familiarity with Amazon Marketing Cloud (AMC) and clean room concepts — or strong
willingness to certify within the first 90 days
• Understanding of the Amazon advertising ecosystem — Sponsored Products,
Sponsored Brands, Sponsored Display, and DSP at a foundational level
• Strong attention to detail with reporting and data accuracy
• Good verbal and written communication skills — able to clearly summarise findings
• Curious, proactive, and eager to learn in a fast-paced environment
Nice to Have
• Amazon Marketing Cloud (AMC) certification (or willingness to obtain within 90 days of
joining)
• Experience with BI tools (Looker, Tableau, Power BI, Quicksight)
• Exposure to Python or R for data analysis
• Experience working with retail / ecommerce brands
• Background in marketplace marketing, particularly Amazon
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Your email job alert is now active!
