Leah 10/11 Selective EA Testing - Greenhouse Logo

Leah 10/11 Selective EA Testing - Greenhouse

Scalability Analytics Lead

Posted 2 Months Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
131K-145K Annually
Senior level
Remote
Hiring Remotely in United States
131K-145K Annually
Senior level
As a Scalability Analytics Lead at Instacart, you will design, build, and maintain data pipelines and dashboards to enhance operational efficiency. This role involves working with various teams to provide self-service data tools, implementing automation solutions, and exploring AI capabilities for data applications.
The summary above was generated by AI

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview 

About the Role

We are seeking a talented Analytics Manager, who specializes in data engineering, business intelligence, and analytics. As part of the Scalability team, you will play a crucial role in designing, developing, and maintaining data pipelines, web applications, dashboards, and other self-service data tools to drive critical business decisions. Specifically, you will support our Commercial organization by building scalable solutions that enhance operational efficiency and unlock value from our data assets.

About the Team 

The Scalability team is a central analytics organization focused on automation, scale, and standardization to generate value efficiently across all commercial partners, products, and enablement teams. Our mission is to drive productivity and efficiency at scale through self-serve data enablement tools for the Commercial organization. We look for opportunities to enhance operational efficiency with data tools and dashboards, meaningful insights, and by integrating AI capabilities into our solutions.

About the Job

  • Build and maintain robust data pipelines and data models using tools like SQL, Python, and dbt, ensuring high data integrity and performance.
  • Create and maintain dashboards and self-service tools using visualization platforms like Tableau or Mode to provide actionable insights that drive business decisions.
  • Collaborate with teams such as sales, product, engineering, and data science. Understand their needs and deliver solutions to meet business objectives.
  • Implement automation solutions and explore the integration of AI capabilities into data tools and applications to enhance productivity and decision-making.
  • Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests.

About You:

Minimum Qualifications:

  • 5+ years of experience in data engineering, data analytics or a related field.
  • Strong proficiency in SQL and Python, with experience building and maintaining data pipelines and ETL processes.
  • Proficiency in data modeling and working with tools like dbt.
  • Familiarity with cloud data warehouses (e.g., Snowflake) and data pipeline orchestration tools (e.g., Airflow).
  • Experience with visualization tools such as Tableau or Mode.
  • Ability to thrive in a dynamic environment, adapt to changing priorities, and solve complex problems.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Familiarity with AI and machine learning concepts and their application in data tools.

Preferred Qualifications:

  • Experience with web application development or a strong desire to learn.
  • Experience with scalable data solutions and deployment.
  • Previous experience in e-commerce, retail analytics, or advertising technology.
  • Proven track record of contributing to projects that improve operational efficiency and impact revenue.

#LI-REMOTE


Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$131,000$145,000 USD

WA

$125,000$139,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$120,000$133,000 USD

All other states

$108,000$120,000 USD

Top Skills

Python
SQL

Similar Jobs

2 Months Ago
Remote
United States
131K-145K Annually
Senior level
131K-145K Annually
Senior level
eCommerce • Hardware • Mobile • Software
The Scalability Analytics Lead will design, develop, and maintain data pipelines, dashboards, and data tools to drive business decisions. They will collaborate with various teams, implement automation solutions, and enhance operational efficiency through self-service data enablement tools.
Top Skills: PythonSQL
Yesterday
Remote
USA
Senior level
Senior level
Cloud • Healthtech • Logistics
Lead the forecasting strategy and implementation for ApartmentIQ, developing models to enhance product and business decisions using data science and predictive analytics.
Top Skills: CloudKerasLstmProphetPythonSarimaxScikit-LearnSparkSQLStatsmodelsTensorFlowXgboost
2 Days Ago
Remote
United States
Senior level
Senior level
AdTech • Edtech
The Senior Data Engineer at Apptegy is responsible for expanding and optimizing data ingestion, pipeline, and identity resolution architecture. The role involves ensuring seamless data flow and enabling data-driven decision-making.
Top Skills: Data ArchitectureData IngestionData Pipeline

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account