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Senior Manager, Data Analytics

2 months ago
United States
Full-time
Lead
Business Intelligence Analyst
Data Science and Analytics
Apache Airflow Dagster dbt E-commerce GCP Looker Mode Power BI Python R SQL Tableau
Apply Now
SupplyHouse.com

SupplyHouse.com

SupplyHouse.com is an online supplier specializing in plumbing, heating, and HVAC supplies, offering over 90,000 products at competitive prices while ensuring a low price guarantee and fast shipping to support professionals in the trades.

Building Materials
251-1K
Founded 2004
View All Jobs 16

Description

  • Manage, coach, and develop a team of Data Analysts and a Data Scientist by setting clear goals, supporting career growth, and maintaining high standards of quality.
  • Own team execution through intake, prioritization, roadmap planning, stakeholder communication, and reliable delivery of insights and analyses.
  • Establish best practices for analytics delivery, including documentation, QA, reproducibility, peer review, and governance.
  • Partner with leaders across Marketing, Merchandising, Fulfillment Operations, Customer Service, Human Resources, and other functions to define questions, metrics, and measurement approaches.
  • Translate ambiguous business questions into structured analysis, decision-ready recommendations, and post-launch success metrics.
  • Standardize governed KPI definitions and foster a culture of controlled measurement and accountability.
  • Lead the selection and implementation of a cross-functional BI tool, including requirements gathering, evaluation, proof-of-concepts, and cost/value analysis.
  • Define governance for the BI ecosystem, including shared metric definitions and documentation standards.
  • Drive adoption of analytics tools and processes through training, templates, office hours, and continuous improvement based on feedback.
  • Partner with Data Engineering and IT to ensure analytics needs are met through strong data modeling, reliable pipelines, and clean source-of-truth datasets.
  • Bring fluency in GCP-based analytics environments to guide scalable analytics design and best practices.
  • Advocate for data quality and reliability through monitoring, lineage, documentation/cataloging, and consistent definitions across domains.
  • Help evolve the company’s centralized analytics operating model and propose future-state approaches as the business scales.

Requirements

  • Bachelor's degree in Analytics, Statistics, Economics, Computer Science, Engineering, or a related field.
  • 7+ years of experience in Analytics, BI, or Data, or equivalent experience.
  • 3+ years of people management experience.
  • Proven experience delivering dashboards, reporting, and insights across multiple business functions.
  • Strong SQL skills and the ability to review analytics work for correctness and performance.
  • Hands-on experience with modern BI tools such as Tableau, Power BI, Looker, Mode, ThoughtSpot, or similar.
  • Demonstrated ability to define metrics and KPIs, align stakeholders, and build scalable self-serve analytics.
  • Familiarity working in a GCP environment, including BigQuery-centric analytics workflows.
  • Working knowledge of data architecture concepts such as data warehousing/lakehouse patterns, dimensional modeling, ETL/ELT, and governance.
  • Master's degree in Analytics, Data Science, Business, or a related field is preferred.
  • Experience working in an e-commerce environment is preferred.
  • Experience selecting and rolling out a BI tool across departments is preferred.
  • Experience with semantic layers or metrics layers and strong analytics governance practices is preferred.
  • Proficiency with Python or R, or the ability to guide teams using these tools, is preferred.
  • Experience with forecasting, experimentation, causal inference, or advanced analytics methods is preferred.
  • Familiarity with tools commonly used alongside GCP analytics stacks, such as dbt, Airflow, or Dagster, is preferred.
  • Applicants must be currently authorized to work in the U.S. on a full-time basis, and SupplyHouse.com will not sponsor work visas.
  • Remote employees must be able to work in a distraction-free environment during virtual meetings and business operations.

Benefits

  • Base salary of $145,000 to $180,000 per year.
  • Comprehensive and affordable medical, dental, vision, and voluntary life insurance options.
  • 401(k) with up to 4% company match.
  • Paid vacation, sick time, and holidays.
  • Company-paid basic life insurance and long-term disability.
  • Flexible Spending Account (FSA).
  • Employee Assistance Program with confidential mental health, financial planning, and legal support.
  • Company-provided equipment plus a one-time $250 work-from-home stipend.
  • $750 annual professional development budget.
  • $25 monthly Grubhub credit.
  • Annual merit and bonus opportunities.
  • Ownership for All program that provides financial participation in company growth.
  • Volunteer Paid Time Off and wellness initiatives, including Flex-Time policy.

Interested in this position?

Apply directly on the company website

Apply Now

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