Analytics Engineer - GTM

Unknown Company; United States; Hybrid; USD 113,000 - 158,000; Full time

Benefits offered by this job

Equity awards

401k

Healthcare

PTO

Family leave

Job summary

Obsidian Security is seeking an Analytics Engineer/Data Analyst to design, develop, and optimize data pipelines and analytics platforms. You will partner with GTM teams to transform data into usable datasets and deliver dashboards that inform decision‑making.

The role blends data engineering with analytics, focusing on ETL, data modeling, governance, and training end users. This is a full‑time, hybrid/remote role with offices in Palo Alto or Newport Beach.

Qualifications

• 3+ years of experience in data analytics and data engineering.
• Experience in data modeling, ETL development, and working with large datasets.
• Familiarity with cloud data platforms (Snowflake, BigQuery, Redshift) and ETL tools (dbt, Fivetran, Stitch).
• Programming with SQL for querying and managing databases.
• Python for data manipulation, automation, and analytics.
• Data visualization tools: Tableau, Looker, Power BI, or Sigma Computing.
• Data governance & quality assurance: data validation and quality checks.
• Strong collaboration and communication with cross-functional teams.

Responsibilities

• Data Transformation & Modeling: Design, develop, and optimize ETL pipelines to transform raw data into clean, structured datasets.
• Data Automation: Automate data workflows using tools like dbt, Airflow, to keep data refreshed for analysis.
• Collaborate with Stakeholders: Understand data needs and build datasets and solutions for business use.
• Dashboard & Reporting Development: Build and maintain dashboards for key metrics using BI tools.
• Forecasting & Analytics: Deliver data models to help forecast trends and provide insights.
• Data Governance: Ensure data quality and maintain documentation for models and transformations.
• User Enablement: Train business users to use dashboards and interpret insights.

Skills

Data modeling

ETL development

SQL

Python

Data visualization

Snowflake

BigQuery

Redshift

dbt

Airflow

Fivetran

Stitch

Looker

Tableau

Power BI

Sigma Computing

Data governance

Collaboration

Tools

dbt

Airflow

Fivetran

Stitch

Looker

Tableau

Power BI

Job description

Obsidian Security was founded in 2017 to solve the unaddressed blindspot of SaaS Security. SaaS applications provide the tools employees need to succeed and hold the business’ most critical information. If those tools become unavailable or that data is jeopardized, there is a detrimental impact on the organization. Obsidian proudly offers the industry's most comprehensive and powerful SaaS defense solution. We are committed to solving the challenge of SaaS Security for our customers as efficiently and effectively as possible. We’re a passionate team optimizing for impact by solving some of the biggest challenges in cybersecurity today. We listen closely to our customers, iterate quickly, and (over) deliver to delight them. Working at Obsidian means contributing to an industry-leading cybersecurity product in an environment where customer satisfaction, privacy, and data ethics are paramount.

We are seeking a talented and driven Analytics Engineer/Data Analyst to join our team and play a pivotal role in building the foundation for data and analytics to support our business objectives. This position involves designing, developing, and optimizing data pipelines and analytics platforms, working with the GTM team (Sales, Marketing, Finance, CS/TAM). The ideal candidate will have a strong technical background, a passion for data, and a collaborative mindset to partner with business teams and enable data-driven decision-making.

This is a full-time position and can be remote or on-site/hybrid in one of our offices in Palo Alto or Newport Beach. They will be responsible for transforming, testing, deploying, and maintaining data pipelines that provide clean, usable datasets to end users. As a bridge between data engineering and data analysis, you will work closely with stakeholders to understand business requirements, build data models and dashboards, automate data workflows, ensure the integrity and quality of the data, and provide training on data visualization tools to empower business users.

Key Responsibilities

• Data Transformation & Modeling: Design, develop, and optimize ETL (Extract, Transform, Load) pipelines to transform raw data into clean, structured datasets that are easy to analyze and visualize.
• Data Automation: Automate data workflows using modern data stack tools (e.g., dbt, Airflow) to ensure data is continuously updated and ready for analysis.
• Collaborate with Stakeholders: Work closely with business teams to understand their data needs, gather requirements, and build data solutions that empower decision-making across the organization.
• Dashboard & Reporting Development: Build and maintain critical business dashboards using BI tools (e.g., Tableau, Power BI, Looker, Sigma Computing) that provide actionable insights into key metrics and performance.
• Forecasting & Analytics: Support business intelligence and analytics functions by delivering data models that help forecast trends, identify patterns, and provide deep insight.
• Data Governance: Ensure data quality, accuracy, and integrity through continuous testing and validation. Maintain detailed documentation for all data models and transformations.
• User Enablement: Provide training and support to business users on how to utilize data visualization tools and interpret insights from dashboards and reports.

Skills & Qualifications

• 3+ years of experience in data analytics and data engineering.
• Data Engineering & Analytics: Strong experience in data modeling, ETL development, and working with large datasets.
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and ETL tools (e.g., dbt, Fivetran, Stitch).
• Programming Skills: Proficient in SQL for querying and managing databases.
• Experience with Python for data manipulation, automation, and analytics.
• Data Visualization Tools: Expertise in creating reports and dashboards using BI tools such as Tableau, Looker, Power BI, or Sigma Computing.
• Data Governance & Quality Assurance: Knowledge of best practices for data validation, quality checks, and maintaining clean, usable datasets.
• Collaboration & Communication: Strong ability to collaborate with cross-functional teams, explain technical concepts to non-technical stakeholders, and provide clear documentation and user training.
• Problem-Solving & Critical Thinking: Ability to troubleshoot and solve complex data issues, optimize data processes, and think critically about how to best serve the needs of the business.

Why Join Us

Get in at the ground level and be a key player in shaping the data and analytics foundation for a rapidly growing business. Collaborate with a dynamic, innovative team that values impact and excellence. Enjoy opportunities for professional development and growth with access to the latest tools and technologies.

Pay Transparency

Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for incentive compensation based on factors such as experience, skills, and location. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact.

Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy.

Base Salary Range: $113,000 USD - $158,000 USD

Employee Benefits

Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:

• Competitive compensation with equity and 401k.
• Comprehensive healthcare with dental and vision coverage.
• Flexible paid time off and paid holiday time off.
• 12 weeks of new parent or family leave.
• Personal and professional development resources.

For more details on our US benefits, or for information on our international benefits, please see here.

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology

Industries Computer and Network Security