Online Sales & Self Service Product & Data Analytics

The Online Sales & Self Service Product & Data Analytics job family is responsible for all Product & Data Analytics solutions driving the growth and maturity of Self Service at GitLab.

Analyst, Online Sales & Self Service Data

The Data Analyst role is responsible for assisting in the creation and scaling our use of data for GitLab’s self-service business. This function will work with a variety of data: sales, quotes/subscription, product, billing, and case data. The Analyst, Online Sales & Self Service Data reports to the Senior Manager, Online Sales & Self Service Product & Data Analytics.

Job Grade

The Analyst, Online Sales & Self Service Growth is a grade 6.

Responsibilities

Comfortable working with large data sets via query languages and BI tools for dashboards and reporting
Develop reporting structure to track success of self-service business and experiments
Gather and track KPI’s requirements from Self-Service Customer Engagement team in order to understand efficiency impact of Low Touch GTM model
Partner with finance and sales strategy teams to develop target setting methodology for online business
Create dashboards and reports to understand and monitor key business metrics
Take ad-hoc analyses and turn them into a repeatable, scalable data views that our team can leverage on their own
Tie together disparate data sources in order to tell cohesive data stories to inform decision making

Requirements

Ability to use GitLab
BS/BA degree in business engineering, economics, or related degree OR equivalent combination of education, training, and experience
Demonstrated progressive experience in data analytics
Excellent written and verbal communication skills
Comfortable presenting data and providing recommendations with confidence
Familiarity with sales & marketing funnel reporting and industry KPIs, such as website sessions, MQLs, pipeline, and bookings
Familiarity with BI tools (e.g. Explore, Tableau) and Excel / Google Sheet functions
Experience with SQL, data warehouses and/or scripting languages (e.g. Python, BigQuery, MySQL)
Experience analyzing CRM data (e.g. Salesforce) and web tracking (e.g. Google Analytics)

Senior Analyst, Online Sales & Self Service Data

The Senior Data Analyst role is responsible for creating and scaling our use of data for GitLab’s self-service business. This is a dynamic role focusing on product analytics, target setting, performance tracking and ad hoc strategic products.

The Senior Analyst, Online Sales & Self Service Data reports to the Senior Manager, Online Sales & Self Service Product & Data Analytics.

Job Grade

The Senior Analyst, Online Sales & Self Service Growth is a grade 7.

Responsibilities

Inspire and empower our self-service team to leverage data to drive action, measure and prove success
Continuously find ways to improve our signup flow and self-service buying experience
Ownership in scoping, sizing and delivering multiple requests balancing prioritization, efficiency and quality
Comfortable working with large data sets via query languages and BI tools for dashboards and reporting
Quantity business value by self-service product feature to inform prioritization
Develop strategies and drive team focus based on data insights and findings
Design and build insightful dashboards for the self-service team and our stakeholders
Monitor metric & business performance
Be proactive and identify trends or flag potential issues
Establish KPIs and targets for measuring the impact of the self-service initiatives

Requirements

Ability to use GitLab
BS/BA degree in business engineering, economics, or related degree OR equivalent combination of education, training, and experience
Demonstrated progressive experience in data analytics
Excellent written and verbal communication skills
Comfortable presenting data and providing recommendations with confidence to senior level stakeholders, even when there is ambiguity involved
A knack for identifying and investigating anomalies in data and operations
Familiarity with product analytics and tools (e.g. Amplitude)
Familiarity with sales & marketing funnel reporting and industry KPIs, such as website sessions, MQLs, pipeline, and bookings
Familiarity with BI tools (e.g. Explore, Tableau) and Excel / Google Sheet functions
Experience with SQL, data warehouses and/or scripting languages (e.g. Python, BigQuery, MySQL)
Experience analyzing CRM data (e.g. Salesforce) and web tracking (e.g. Google Analytics)

Manager, Online Sales & Self Service Product & Data Analytics

The Data Manager role is the hub of the analytical function of our team: responsible for creating and scaling our use of data for GitLab’s self-service business and delivering visibility of the self-service experience to Sales. This role will focus on building our foundational data infrastructure, tools, and insights.

The Manager, Online Sales & Self Service Data reports to the Senior Manager, Online Sales & Self Service Product & Data Analytics.

Job Grade

The Manager, Online Sales & Self Service Growth is a grade 8.

Responsibilities

Inspire and empower our self-service team to leverage data to drive action, measure and prove success
Responsible for hiring and managing an Analyst/Sr. Analyst
Create end-to-end data funnel view that allows us to understand the self-service customer experience through data. Leverage to provide feedback to Fulfillment and Growth teams
Own collecting requirements, establishing KPIs/targets, and building self-service specific dashboards
Partner with sales to define requirements for insights and visibility into self-service experience. Work with product intelligence and ops to operationalize the delivery
Develop repeatable and scalable experiment process: creating cohorts, measuring success, and providing result read-outs
Ownership in scoping, sizing and delivering multiple requests balancing prioritization, efficiency and quality
Provide feedback to core data teams about data gaps and tools
Comfortable working with large data sets via query languages and BI tools for dashboards and reporting
Develop strategies and drive team focus based on data insights and findings
Monitor performance and be able to explain why trends occur (e.g. investigating the ‘why’ behind target attainment)
Be proactive and identify trends or flag potential issues

Requirements

Ability to use GitLab
BS/BA degree in business engineering, economics, or related degree OR equivalent combination of education, training, and experience
Demonstrated progressive experience in data analytics
Excellent written and verbal communication skills
Comfortable presenting data and providing recommendations with confidence to senior level stakeholders, even when there is ambiguity involved
A knack for identifying and investigating anomalies in data and operations
Familiarity with product analytics and tools (e.g. Amplitude)
Familiarity with sales & marketing funnel reporting and industry KPIs, such as website sessions, MQLs, pipeline, and bookings
Familiarity with BI tools (e.g. Explore, Tableau) and Excel / Google Sheet functions
Experience with SQL, data warehouses and/or scripting languages (e.g. Python, BigQuery, MySQL)
Experience analyzing CRM data (e.g. Salesforce) and web tracking (e.g. Google Analytics)

Senior Manager, Online Sales & Self Service Product & Data Analytics

The Senior Manager, Online Sales & Self Service Product & Data Analytics job family is responsible for all Product & Data Analytics solutions driving the growth and maturity of Self Service at GitLab.

The Senior Manager, Online Sales & Self Service Product & Data Analytics reports to the VP Online Sales and Self Service.

Job Grade

The Senior Manager, Online Sales & Self Service Product & Data Analytics is a grade 9.

Responsibilities

Lead product & data analytics for Self Service to drive revenue growth, sales efficiency, customer experience, and customer retention.
Develop and execute a product & data analytics solution that will create a full data funnel: product interactions to revenue, establishing and tracking success metrics and aiding in feature prioritization.
Through data insights provide sales visibility, inform product roadmap, drive marketing campaigns & customer interactions.
Build and execute an experimentation engine to inform marketing campaigns, product roadmap and customer interactions.
Partner closely with Data Instrumentation, Data Science, Product Management, Fulfillment to establish data pipelines to provide a comprehensive funnel view.
Partner closely with Sales, Marketing, Product Management, Fulfillment, Sales Strategy and Support teams to provide Self Service data insights to drive focus.
Establish and maintain key customer KPIs for Self Service GTM success including conversion, retention and growth.
Provide detailed and accurate sales forecasting for online sales by segment, channel, and region.
Maintain source of truth for product analytics insights.
Ensure support and product teams have visibility into error data to improve the customer experience.
Provide application monitoring to understand impacts to usage: availability, uptime, performance.
Build a team of data analysts, data engineers and data architects to deliver our Self Service product & analytics solution.
Manage prioritization of iteration of online sales funnel and instrumentation.

Requirements

Ability to use GitLab
A solid track record of Product & Data Analytics delivery and leadership
Has specialized knowledge of Product & Data Analytics technology tools and implementation
Strong aptitude in data analytics and advanced statistical modelling
Has specialized knowledge of the Online Sales, Self Service/e-commerce space, and customers
Strong experience in software sales, preferably with development tool and/or open-source experience
Proven success partnering with Marketing, Channel, Alliances, Product, and Engineering peers
Demonstration of high levels of integrity, initiative, honesty and leadership
Must be adaptable, professional, courteous, motivated and work well on their own or as a member of a team
Willingness to learn and use GitLab
Polished presentation skills
Ability to handle a fast-paced environment and ambitious workload

Performance Indicators

nARR vs. plan > 1 through development of self-service targets
nARR efficiency > 1.0 through development of self-service targets
Increased adoption of self-service solutions (buying & account management) driving increased customer satisfaction and Rep productivity leveraging product data insights and recommendations

Career Ladder

The next step for the Online Sales & Self Service Product & Data Analytics Job Family is to move to the Director, Online Sales & Self Service Job Family.

Hiring Process

Candidates for this position can expect the hiring process to follow the order below. Please keep in mind that candidates can be declined from the position at any stage of the process.

Qualified candidates will be invited to schedule a 30 minute screening call with one of our Global Recruiters.
Qualified candidates will take a short technical take home test.
Next, candidates will be invited to schedule a first interview with the Hiring Manager
Next, candidates will be invited to schedule interviews 30 minute interviews with 2 immediate team members and 3 cross-functional partners
Finally, candidates will be invited to schedule interviews with the hiring manager once more to review case homework assignment assigned during first Hiring Manager interview

About GitLab

GitLab Inc. is a company based on the GitLab open-source project. GitLab is a community project to which over 2,200 people worldwide have contributed. We are an active participant in this community, trying to serve its needs and lead by example. We have one vision: everyone can contribute to all digital content, and our mission is to change all creative work from read-only to read-write so that everyone can contribute.

We value results, transparency, sharing, freedom, efficiency, self-learning, frugality, collaboration, directness, kindness, diversity, inclusion and belonging, boring solutions, and quirkiness. If these values match your personality, work ethic, and personal goals, we encourage you to visit our primer to learn more. Open source is our culture, our way of life, our story, and what makes us truly unique.

Top 10 Reasons to Work for GitLab:

Mission: Everyone can contribute
Results: Fast growth, ambitious vision
Flexible Work Hours: Plan your day so you are there for other people & have time for personal interests
Transparency: Over 2,000 webpages in GitLab handbook, GitLab Unfiltered YouTube channel
Iteration: Empower people to be effective & have an impact, Merge Request rate, We dogfood our own product, Directly responsible individuals
Diversity, Inclusion & Belonging: A focus on gender parity, Team Member Resource Groups, other initiatives
Collaboration: Kindness, saying thanks, intentionally organize informal communication, no ego
Total Rewards: Competitive market rates for compensation, Equity compensation, global benefits (inclusive of office equipment)
Work/Life Harmony: Flexible workday, Family and Friends days
Remote Done Right: One of the world's largest all-remote companies, prolific inventor of remote best practices

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Last modified June 27, 2024: Fix various vale errors (46417d02)

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