This job is closed

We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

Fastlyposted about 1 month ago
$133,200 - $159,840/Yr
Full-time • Mid Level
Hybrid • San Francisco, CA
Professional, Scientific, and Technical Services
Resume Match Score

About the position

The Senior Data Analyst, Sales Analytics role will be a key contributor to the Sales Strategy & Operations team. Reporting to and collaborating closely with Sr. Director, Sales Strategy & Operations, this role will be responsible for owning and defining the future roadmap for all sales data architecture, visualization, analysis & reporting, to support the sales organization. This will include projects and initiatives centered around customer data, sales metrics, QBRs and sales go-to-market planning across several key reporting platforms (Looker, Salesforce & Clari). This role will be able to serve the basic reporting needs of our sales/revenue organization, while finding opportunities to dive deeper into complex data challenges, to deliver key insights that drive decision-making. The perfect candidate for this role takes a proactive, consultative approach to solving business problems with non-technical partners. They're capable of distilling complex ideas and data into logical insights and recommendations, and adjust their communication based on the audience. They are able to work independently while prioritizing work, and take an iterative approach to getting the job done. Finally, they are curious and take initiative to learn new areas of the business, to be effective in their role.

Responsibilities

  • Tracking, reporting, analyzing and compiling the performance of key sales metrics including pipeline, forecast, and key sales activities - to support ongoing business needs and QBRs.
  • Manage intake and development of sales insights and analytics requests, as well as ongoing development / automation of regular reports.
  • Write, optimize, and execute SQL queries to extract and manipulate sales data from databases for analysis and reporting purposes.
  • Work with cross-functional teams to understand data requirements and develop customized queries to support various sales and business initiatives.
  • Develop processes & frameworks for repeatability in common analysis requests.
  • Regularly audit data outputs for anomalies and reporting errors.
  • Partner with business analytics, sales operations, marketing operations, and finance teams to uphold data quality standards, and evaluate new sales data sources & tooling.
  • May also assist in maintaining and optimizing the data infrastructure, including databases, data warehouses, and ETL processes.

Requirements

  • Technical experience in B2B sales analytics & best practices, with strong hands-on experience with common B2B tools like Salesforce and Clari.
  • Experience in common data warehousing & business intelligence tools like Google BigQuery and Looker (with proficiency in SQL), or similar experience with Tableau, PowerBI and other data intelligence tools.
  • Experience in analyzing and reporting on basic sales metrics including pipeline, sales forecast and sales performance.
  • Experience with building data models to define segments and target audiences based on available data.
  • Ability to build trusted relationships across extended sales operations teams, managing expectations, and producing reports/analysis in a timely manner.
  • Communication style capable of distilling complex data into actionable insights for sales, across different audience types (executives, leadership, sales reps and sales operations).
  • General understanding of the business including sales go-to-market and planning.
  • Min. 3-5 years of work experience, ideally in sales/sales operations or supporting role for these functions.
  • Bachelor's degree.

Nice-to-haves

  • Experience with dbt and version control systems like git.
  • Knowledgeable in statistical programming languages such as Python or R.
  • Experience with GA4 and Google Tag Manager implementation.

Benefits

  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Family planning, mental health support along with Employee Assistance Program.
  • Insurance (Life, Disability, and Accident).
  • Flexible Vacation policy and up to 18 days of accrued paid sick leave.
  • 401(k) (including company match).
  • Employee Stock Purchase Program.
  • 11 paid local holidays.
  • 11 paid company wellness days.

Job Keywords

Hard Skills
  • Google Tools
  • Python
  • R
  • SQL
  • Sql Optimization
  • 0xGKI SrO5mugdYeb8o
  • 1aH8LjgrSwKq4Z qXc69InFUHpJtj
  • 2EtsZUd okHPtDv4x
  • 5QyKacp16 6FrHKXMYGTUg
  • 6CpEdR 37ur0j 7WeOvrBI
  • 9fSLQx U5qBOJ4h8AQ
  • Au0hj kcMnNuF3
  • bfrc8i7snlw
  • cCeHRx ntRQ9WMzK
  • dJhQP5k74iCB 9zEbrm6PHM2
  • dYjs4ntfSU dRpUfse6kL0
  • dzxF LKcems93wjk
  • f6TdCEi j3p7P
  • gD5AXdo peFOJ6cC
  • H0wXpo w3l9Z28I
  • IXV7ilybv uLZfYkt
  • jBeUuZJDmqiQ xFbe3VSDyswB
  • jsqkwe9JM 7UVyvn1k02
  • KdcsCFt36 e5PlyXDEz
  • KQY35 hRrK1ADsLMaGIEd
  • KYS79IfMwmE8D6BhJuFNG 8z1UJg
  • NQ4yk76X uST4JI6q
  • PxaSCkJnq HpWkuM7AY
  • qidF08 36dQDUZP
  • SeT8m lInvZ0TjYLSH
  • ShvbK fGQcHbPNE
  • SOQZ1cMsajxBI tu8Mz7jscCp
  • teKS0CpO
  • TKMLwU BCnUmE6KJcHR
  • UbRY6Wu V4R7knGri
  • UF9S4w 3WQO7Z1gS2kv
  • uK6hP OjCr0L1zKD97o
  • V1HBQm RxlVm65ucLh
  • vnV5J kxrlpcyeN
  • yHXItwPgK 4PWspDqf iqdEm1uvwQph
  • zi3mu9MQ8E CW3b1mc54lx86
Build your resume with AI

A Smarter and Faster Way to Build Your Resume

Go to AI Resume Builder
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service