SQL Data Analyst (Marketing)
Salary undisclosed
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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 Benefi
- ts:100% Work From H
- omeAttendance, Performance, and Referral Bonu
- sesPaid Holidays and Time O
- ffsHealth Insura
- nceContinuous Learning and Developm
- entBi-weekly salary pay
- outWork-Life Bala
nce
Core Ta
- sks:Write, optimize, debug SQL queries; create joins, aggregations, and subque
- riesPull and utilize data across Meta, Google, Shopify, Google Sheet/E
- xcelData manipulation (i.e., sorting, scrubbing, tagging, cleaning, de-dup
- ing)Build reports and dashboards from scratch or using provided templ
- atesAnalyze results and write a summary of rep
- ortsCreate reports for partners upon req
- uestProvide daily/ weekly/ monthly reporting on various performance and marketing data
- setsValidate and troubleshoot existing reports for data/logic accu
- racyPerform other ad-hoc data analysis tasks as ne
eded
Must H
- aves:2-4 years of experience in complex data ana
- lysisHas experience in SQL SME and autonomous
- workWith intermediate to advanced skills in MS Excel/Google S
- heetsHas demonstrated ability in generating ad-hoc reports and dashboards from sc
- ratchWith a strong ability to write, optimize, and debug SQL queries; experience creating joins, aggregations, and subqu
- eriesWith familiarity in general data warehouse infrastructure, specifically with Snowflake, Fivetran, S
- igma)Experienced in creating/managing dashboards in a BI tool (Sigma is a
- plus)With basic e-commerce knowledge (KPIs such as CAC, ROAS); familiarity with Sh
- opifyWith great English skills (oral and wri
- tten)Familiarity with Slack and
- GmailWith recent experience working in the graveyard shift and amenable to working i
n PST
Nice to
- have:Bonus: Ability to both pull and analyze data + make efficiency sugge
- stionsFamiliar with automation and tech stack integrations; able to suggest and implement auto
- mationExperience wtih inventory data an
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 Benefi
- ts:100% Work From H
- omeAttendance, Performance, and Referral Bonu
- sesPaid Holidays and Time O
- ffsHealth Insura
- nceContinuous Learning and Developm
- entBi-weekly salary pay
- outWork-Life Bala
nce
Core Ta
- sks:Write, optimize, debug SQL queries; create joins, aggregations, and subque
- riesPull and utilize data across Meta, Google, Shopify, Google Sheet/E
- xcelData manipulation (i.e., sorting, scrubbing, tagging, cleaning, de-dup
- ing)Build reports and dashboards from scratch or using provided templ
- atesAnalyze results and write a summary of rep
- ortsCreate reports for partners upon req
- uestProvide daily/ weekly/ monthly reporting on various performance and marketing data
- setsValidate and troubleshoot existing reports for data/logic accu
- racyPerform other ad-hoc data analysis tasks as ne
eded
Must H
- aves:2-4 years of experience in complex data ana
- lysisHas experience in SQL SME and autonomous
- workWith intermediate to advanced skills in MS Excel/Google S
- heetsHas demonstrated ability in generating ad-hoc reports and dashboards from sc
- ratchWith a strong ability to write, optimize, and debug SQL queries; experience creating joins, aggregations, and subqu
- eriesWith familiarity in general data warehouse infrastructure, specifically with Snowflake, Fivetran, S
- igma)Experienced in creating/managing dashboards in a BI tool (Sigma is a
- plus)With basic e-commerce knowledge (KPIs such as CAC, ROAS); familiarity with Sh
- opifyWith great English skills (oral and wri
- tten)Familiarity with Slack and
- GmailWith recent experience working in the graveyard shift and amenable to working i
n PST
Nice to
- have:Bonus: Ability to both pull and analyze data + make efficiency sugge
- stionsFamiliar with automation and tech stack integrations; able to suggest and implement auto
- mationExperience wtih inventory data an