Manager of Data Analytics

See's Candies

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$200,907–$200,907 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $201k
$146k most similar roles pay here $233k

This role pays more than 61% of similar roles. Most pay $154,261–$221,662 — the shaded band above. At the midpoint, this role pays about $201k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About See's Candies

See''s Candies is a confectionery company known for its premium boxed chocolates, truffles, and lollipops, operating candy shops and online retail primarily in the western United States. Industry: Confectionery & Retail

View all roles at See's Candies

At a glance

TL;DR · Manager of Data Analytics

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As the Manager of Data Analytics at See’s Candies, you will lead a team of analysts and engineers in developing and maintaining enterprise-wide analytics technology to support the company's growth in retail and e-commerce. Your day-to-day responsibilities include overseeing statistical modeling, machine learning, AI, and data mining techniques, as well as defining data models and management strategies. You will work closely with cross-functional teams to integrate data governance, cloud migration, and ETL/ELT processes using tools like Spark and Azure Databricks, ensuring that the technology aligns with business objectives and drives innovation. This role requires expertise in data pipeline optimization, comprehensive documentation, and effective communication between internal teams and vendors, all while managing a budget and supervising four employees.

Skills

Azure Databricks Spark Data Warehousing ETL ELT Cloud Migration Data Governance Data Integration SQL Python R Tableau Hadoop AWS Azure Git CI/CD Kubernetes

What you'll do

  • Oversee development and maintenance of enterprise-wide analytics technology.
  • Lead team of analysts and engineers in Data Science and Business Intelligence.
  • Build advanced analytics capabilities using statistical modeling, machine learning, AI.
  • Define data models and implement data management strategies and procedures.
  • Develop documentation for vendor-supported systems and processes.
  • Partner with cross-functional teams to leverage data for business performance.
  • Optimize technology costs and manage support services against budget.

What we're looking for

  • Master’s degree in Computer Science or related field required.
  • At least two years of experience as a Data Architect or similar role.
  • Expertise in data governance, integration, and cloud migration.
  • Proficiency with Spark, Azure Databricks, and data warehousing technologies.
  • Experience managing and training teams of analysts and engineers.
  • Develops comprehensive documentation for vendor-supported systems and processes.
  • Oversees budget management and technology cost optimization.

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