SQL Marketing Data Analyst
Salary undisclosed
Checking job availability...
Original
Simplified
We are looking for an experienced SQL Data Analyst to support our US partner cllent. The day-to-day tasks will primarily involve pulling and analyzing reports on large data sets.
This is a great opportunity for someone who has e-commerce experience and wants continuous learning and growth in their career.
The Benefits
- :100% Work From Hom
- eAttendance, Performance, and Referral Bonuse
- sPaid Holidays and Time Off
- sHealth Insuranc
- eContinuous Learning and Developmen
- tBi-weekly salary payou
- tWork-Life Balanc
e
Core Task
- s:Write, optimize, debug SQL queries; create joins, aggregations, and subqueri
- esPull and utilize data across Meta, Google, Shopify, Google Sheet/Exc
- elData manipulation (i.e., sorting, scrubbing, tagging, cleaning, de-dupin
- g)Build reports and dashboards from scratch or using provided templat
- esAnalyze results and write a summary of repor
- tsCreate reports for partners upon reque
- stProvide daily/ weekly/ monthly reporting on various performance and marketing data se
- tsValidate and troubleshoot existing reports for data/logic accura
- cyPerform other ad-hoc data analysis tasks as need
ed
Must Hav
- es:2-4 years of experience in complex data analy
- sisHas experience in SQL SME and autonomous w
- orkWith intermediate to advanced skills in MS Excel/Google She
- etsHas demonstrated ability in generating ad-hoc reports and dashboards from scra
- tchWith a strong ability to write, optimize, and debug SQL queries; experience creating joins, aggregations, and subquer
- iesWith familiarity in general data warehouse infrastructure, specifically with Snowflake, Fivetran, Sig
- ma)Experienced in creating/managing dashboards in a BI tool (Sigma is a pl
- us)With basic e-commerce knowledge (KPIs such as CAC, ROAS); familiarity with Shop
- ifyWith great English skills (oral and writt
- en)Familiarity with Slack and Gm
- ailWith recent experience working in the graveyard shift and amenable to working in
PST
Nice to h
- ave:Bonus: Ability to both pull and analyze data + make efficiency suggest
- ionsFamiliar with automation and tech stack integrations; able to suggest and implement automa
- tionExperience wtih inventory data anal
We are looking for an experienced SQL Data Analyst to support our US partner cllent. The day-to-day tasks will primarily involve pulling and analyzing reports on large data sets.
This is a great opportunity for someone who has e-commerce experience and wants continuous learning and growth in their career.
The Benefits
- :100% Work From Hom
- eAttendance, Performance, and Referral Bonuse
- sPaid Holidays and Time Off
- sHealth Insuranc
- eContinuous Learning and Developmen
- tBi-weekly salary payou
- tWork-Life Balanc
e
Core Task
- s:Write, optimize, debug SQL queries; create joins, aggregations, and subqueri
- esPull and utilize data across Meta, Google, Shopify, Google Sheet/Exc
- elData manipulation (i.e., sorting, scrubbing, tagging, cleaning, de-dupin
- g)Build reports and dashboards from scratch or using provided templat
- esAnalyze results and write a summary of repor
- tsCreate reports for partners upon reque
- stProvide daily/ weekly/ monthly reporting on various performance and marketing data se
- tsValidate and troubleshoot existing reports for data/logic accura
- cyPerform other ad-hoc data analysis tasks as need
ed
Must Hav
- es:2-4 years of experience in complex data analy
- sisHas experience in SQL SME and autonomous w
- orkWith intermediate to advanced skills in MS Excel/Google She
- etsHas demonstrated ability in generating ad-hoc reports and dashboards from scra
- tchWith a strong ability to write, optimize, and debug SQL queries; experience creating joins, aggregations, and subquer
- iesWith familiarity in general data warehouse infrastructure, specifically with Snowflake, Fivetran, Sig
- ma)Experienced in creating/managing dashboards in a BI tool (Sigma is a pl
- us)With basic e-commerce knowledge (KPIs such as CAC, ROAS); familiarity with Shop
- ifyWith great English skills (oral and writt
- en)Familiarity with Slack and Gm
- ailWith recent experience working in the graveyard shift and amenable to working in
PST
Nice to h
- ave:Bonus: Ability to both pull and analyze data + make efficiency suggest
- ionsFamiliar with automation and tech stack integrations; able to suggest and implement automa
- tionExperience wtih inventory data anal