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Senior Data Analyst

This role is ideal for a driven, hands-on individual who thrives in a start-up-like environment. As our first in-house data hire, you will take full ownership of our data infrastructure, integrating key data sources, building scalable ETL pipelines, and creating actionable dashboards for multiple teams. You’ll be responsible for setting up systems that empower cross-functional teams to make data-driven decisions while laying the foundation for a future data team.

Once the data infrastructure is fully built and operational, you will have the opportunity to hire and lead a team to scale our data capabilities further.


What You’ll Be Doing:


● Build and Own Data Infrastructure

○ Design, implement, and manage a scalable data warehouse (e.g., BigQuery, Snowflake).

○ Develop and maintain ETL pipelines (e.g., Fivetran, dbt, Stitch) to integrate data from multiple sources, including Shopify, Amazon, TikTok, Google Analytics, Meta Ads, Klaviyo, and more.

○ Ensure data accuracy, consistency, and reliability across all systems through rigorous validation and testing.

● Develop Business Intelligence Solutions

○ Build actionable dashboards and visualizations using Looker or Looker Data Studio

○ Partner with teams to identify key metrics and create tailored reports for:

○ Operations & Logistics: Inventory forecasting and marketplace performance

tracking.

○ Growth Marketing: Spend plan forecasting, creative optimization, and channel

performance insights.

○ Marketplace Team: Multi-platform performance dashboards (Amazon, Walmart,

TikTok Shop).

○ Customer Experience: Tools for improving customer communication and satisfaction.

● Collaborate with Vendors and Cross-functional Teams

○ Work with existing data vendors to ensure smooth transitions and integrations into in-house systems.

○ Collaborate with marketing, logistics, customer support, and creative teams to translate business needs into data-driven solutions.

● Lay the Foundation for Team Growth

○ Prove the value of a robust data infrastructure by delivering measurable results and driving efficiency across teams.

○ Create documentation, processes, and frameworks that can scale as the data function grows.

○ Recruit and mentor a team once the foundation is established.


The Ideal Candidate Has:


● 4+ years of experience in data analytics, data engineering, or business intelligence roles.

● Advanced expertise in data warehouse management (e.g., BigQuery (mainly),

Snowflake, Redshift).

● Proficiency in ETL pipeline tools (e.g., Fivetran, Stitch, dbt) and strong SQL skills.

● Hands-on experience with BI tools (e.g., Looker, Looker Data Studio, etc) for creating

actionable dashboards.

● Familiarity with eCommerce platforms and data sources, including Shopify, Amazon

Seller Central, Google Ads, Meta Ads, Klaviyo, TikTok, etc.

● A proven track record of working independently to build and optimize data systems from

the ground up.

● Excellent problem-solving and communication skills to work effectively with technical and

non-technical stakeholders.


Preferred Skills:


● Experience in DTC and multi-channel marketplaces (e.g., Walmart, TikTok Shop).

● Knowledge of predictive analytics and machine learning to enhance forecasting

capabilities.

● Familiarity with email/SMS platforms (e.g., Klaviyo, Attentive).

● Experience working with APIs and custom integrations.


Why You’ll Love Working with Us:


● Be the architect of our data infrastructure and drive measurable impact across the organization.

● Work in a fast-paced, entrepreneurial environment where your contributions will be highly visible and valued.

● Collaborate with a diverse team of experts worldwide dedicated to delivering a world-class customer experience.

● Enjoy flexible working arrangements, competitive compensation, and opportunities for career growth.


Benefits:


● Competitive salary, including discretionary performance-based bonuses.

 ● Fully remote work with flexible schedules.

● Unlimited PTO.

● Health Benefits (medical, dental, vision) with fully covered plans.

● Fitness Reimbursement – your physical and mental health is super important.

● Learning Reimbursement – we value lifelong learning and personal development.

● Paid Parental Leave.



$130,000 - $150,000 a year

Average salary estimate

$140000 / YEARLY (est.)
min
max
$130000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
January 20, 2025

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