Remote Analytics Lead – Data Science (USA) FlagshipRTL Free your inventory from Excel spreadsheets.

Workinvirtual; Snowflake (AZ); Remote; USD 100,000 - 140,000; Full time

Job summary

A leading technology company is seeking an Analytics Lead to drive data-driven decision-making across multiple functions. The ideal candidate will have 4-7 years of experience in analytics or data science, with expertise in SQL and statistical analysis. This remote position offers an exciting opportunity to shape analytics infrastructure and work collaboratively in a high-impact environment. If you excel in turning raw data into actionable insights and thrive in a fast-paced setting, this could be the role for you.

Qualifications

• 4-7 years in analytics/data science, ideally in startups.
• Strong statistical skills with experience in SQL.
• Familiarity with data visualization tools such as Tableau or Power BI.

Responsibilities

• Own the analytics function by designing data models and dashboards.
• Partner with teams to analyze trends and refine forecasting.
• Develop self-serve analytics tools and optimize data pipelines.

Skills

Statistical skills

SQL

Data modeling

Data visualization

Tools

Snowflake

BigQuery

DBT

Looker

Tableau

Power BI

GitHub

Job description

Company:FlagshipRTL

Location:Remote (USA)

Employment Type:Full-time

Department:Data Science

About FlagshipRTL:

FlagshipRTL is revolutionizing retail planning with its cutting-edgeSales and Operations Planning (S&OP) software. Designed forDTC (Direct-to-Consumer) brands, our platform integratesfirst-party data, machine learning, and advanced analyticsto optimize growth strategies. Our team combinestech, retail, and data science expertiseto help businesses move beyond outdated metrics and makedata-driven, high-impact decisions.

The Role:

As thefirst Analytics Leadat FlagshipRTL, you’lldefine and buildthe company’s analytics infrastructure, shaping how data drives decisions acrossproduct, engineering, customer success, and sales. This is ahigh-impact rolefor someone who thrives in ambiguity, loves cross-functional collaboration, and is passionate about turning raw data into actionable insights.

Key Responsibilities:

Own the analytics function—design scalable data models, metrics, and dashboards.
Partner withProduct & Data Scienceto validate experiments, analyze trends, and refine forecasting models.
Solve critical business questions (e.g.,How should sales forecasts be aggregated? Are regional sales patterns correlated?).
Developself-serve analytics toolsfor internal teams and customers.
Ensuredata pipelinesare optimized for analytics and reporting.
Definecustomer value metricsand shape how analytics is embedded in the product.

Qualifications:

4-7 yearsin analytics/data science, preferably atstartups or high-growth companies.
Strongstatistical skills(regression, correlation analysis, hypothesis testing).
Expert inSQL, modern data stacks (Snowflake, BigQuery, DBT), and version control (GitHub).
Experience buildingBI dashboards(Looker, Tableau, Power BI) is a plus.
Ability totranslate data insightsfor both technical and non-technical teams.
Comfortable in afast-paced, remote-first environment.

Bonus Skills:

Python for advanced analysis/model validation.
Background insupply chain, demand forecasting, or retail production.

Apply Now:

Must be authorized to work in the U.S.(No visa sponsorship available).
Apply Here