Analytics and Insights

The Analytics and Insights job family is responsible for providing data driven insights to the business to improve decision making. These are either a centralized analytics team working on cross-functional initiatives such as top 12 initiatives or Go-to-market or embedded analytics teams that live in the functional areas providing support and insights.

Responsibilities

• Business Partnership: Own stakeholder relationships regarding either business strategy, corporate metric forecasting, go to market, product strategy, pricing strategy and functional strategy needed to answer GitLab’s hardest questions.
• Data Subject Matter Expert.
• Partner with executive team members to provide data driven decision support using your analytical, process and business acumen.
• Highly skilled in being able to provide analysis and scientific data to answer GitLab’s toughest analytical questions.
• Communication: Prepare and review visualizations of all types of data to promote internal understanding of your team’s insights. Expert influencer to our executive team. Clearly articulate insights.
• Data Science Modeling: Design, implement and apply analytics techniques (e.g., optimization, machine learning, experimentation, mathematical modeling) using analytical tools and programming languages (e.g., R, Python, SAS). Be comfortable with a boring solution such as a heuristic when it helps drive the insight.
• Data Driven Insights and Analysis: Summarize key data driven insights to members of the executive team to drive better outcomes, an increase in revenue or decrease in cost. Provide insights across the company.
• The ability to discover data gaps and provide requirements to the Data team and to product management for the proper logging and data repositories.
• Be customer zero for our product teams as they design the MLOps and Product Analytics product areas.
• Be a culture definer and evolver of GitLab Values.
• Land data products with end stakeholders including preparing how to operationalize the data products, measure the impact of the data products and enable users.

Requirements

• Data Analysis: A passion for understanding business questions and making data driven insights. Excellent analytical skills.
• Proficient in SQL; R, Python preferred.
• A/B Testing experience: experience designing and executing A/B tests in collaboration with growth or product teams.
• Business Acumen: Be able to understand the business at a level to influence EVP priorities and company strategy.
• Business Partnership: Consistent track record of using quantitative analysis to impact key business decisions.
• Communication: Ability to present financial data concisely through written and oral communication. Expert at influencing business stakeholders.
• BS degree in Mathematics, Engineering, Statistics or relevant degree. MBA preferred.
• Ability to use GitLab.

Functional Specialties

• Go-to-market: provide data insights to improve GTM motions and activities from both operational and product data. Deliver data science products and data visibility.
• Product: provide insights for growth, product managers and pricing teams.
• Finance: Support the Finance function with corporate metric forecasting and driver analysis. Public company reporting and analysis as part of the quarterly close.
• Marketing: TBD
• Sales: TBD
• Engineering: TBD

Levels

Analytics and Insights Analyst

Job Grade

The Analytics and Insights Senior Analyst is a grade 6.

Responsibilities

• Business Insights: understanding of business models and ability to apply data analytics methods to formulate actionable insights and recommendations.
• Stakeholder Partnership: execute appropriate analysis to add value to stakeholder decision making.
• Analytical Modeling: ability to formulate models for segmentation, sizing, prediction and forecasting.
• Data Subject Matter Expert: Identify data gaps and document it for our product, data and IT teams. Improve your personal data workflow.
• Testing and test design: Follow A/B testing best practices, execute analysis for A/B tests, experiments across multiple functions.
• Presenting Data and Insights: make dashboards, visualizations and presentations to advance decision making power in the company.
• Work is typically guided by a Sr. Analyst, Manager or Director

Requirements

• Experience recommendation: Experience in a consulting or analytics role ideally with enterprise SaaS software model.
• Analytical modeling experience, SQL required, Python and R experience preferred.
• Experience contributing to data modeling.
• Experience in developing dashboards and visualizations.
• Experience with test design and analysis, preferably in the high tech industry.
• Experience with web analytics platforms such as Google Analytics, Adobe Analytics is a big plus.
• Experience working in cloud environments such as AWS, GCP is a plus.

Analytics and Insights Senior Analyst

Job Grade

The Analytics and Insights Senior Analyst is a grade 7.

Responsibilities

• All responsibilities of Analyst
• Expertise in one area: test design, web analytics, data modeling, dashboarding/visualization, analytical modeling
• Work is typically guided by Manager or Director, however the complexity of projects indepedently run increases.
• Mentorship: mentor, coach and train analysts and junior analysts.

Requirements

• More in depth experience than the Analyst in terms of years of experience or depth of experience

Business Analytics and Insights Manager

Job Grade

The Business Analytics and Insights Manager is a grade 8.

Responsibilities

• All responsibilities of Sr. Analyst
• Expertise in two areas: test design, web analytics, data modeling, dashboarding/visualization, analytical modeling
• Work is self-guided and sourced by interacting with stakeholders. Runs Large Complexity projects.
• Mentorship: mentor, coach and train Sr analysts and analysts.

Requirements

• More in depth experience than the Sr. Analyst in terms of years of experience or depth of experience.
• Experience driving projects of large complexity on your own with little guidance.
• Ability to influence decisions at the VP level with little support.

Business Analytics and Insights Senior Manager

Job Grade

The Business Analytics and Insights Senior Manager is a grade 9.

Responsibilities

• All responsibilities of Sr. Analyst
• Expertise in two areas: test design, web analytics, data modeling, dashboarding/visualization, analytical modeling
• Work is self-guided and sourced by interacting with stakeholders. Runs Large Complexity projects.
• Mentorship: mentor, coach and train Sr analysts and analysts.

Requirements

• More in depth experience than the Sr. Analyst in terms of years of experience or depth of experience.
• Experience driving projects of large complexity on your own with little guidance.
• Ability to influence decisions at the VP/C-Level level with little support.

Director, Business Analytics and Insights

Job Grade

The Director, Business Analytics and Insights is a grade 10.

Responsibilities

• Participate in monthly key reviews. Provide insights across the company starting with a focus on product and website analytics, customer behavior including the pricing and growth teams.
• Data Subject Matter Expert: Identify and drive improvements to processes and policies in collaboration with product, data and IT teams on process improvements on data collection or data instrumentation.
• Testing and test design: A leader in designing A/B tests, experiments that affect user behavior and broaden these tests into an A/B testing framework for the company.
• Management: Set the vision, hire, build, coach and manage a highly productive team day to day. Expert management skills, especially at developing talent. Set goals and priorities for the team.
• Stakeholder Management: Ensure there is alignment with stakeholders, including success and failure criteria of projects, operational resources to operationalize data products.
• Review: Review work and analysis produced by the team you manage or from other members of the team. Expert at providing feedback.

Requirements

• Management: management experience in a consulting, analytics or data science role.
• Experience recommendation: experience in a consulting or analytics role ideally with enterprise SaaS software model.

Performance Indicators

• Throughput: Issues or merge requests closed as measurement of analyses completed
• Business partnering satisfaction
• Dollars of ARR growth found through Analysis

 

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