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Analytics Engineer - GTMObsidian Security • United States
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XX

Analytics Engineer - GTM

Obsidian Security
  • +3
  • +4
  • US
    United States
  • +3
  • +4
  • US
    United States
Jetzt Bewerben

Über

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 accommodations@obsidiansecurity.com. 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
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Wünschenswerte Fähigkeiten

  • ETL
  • Python
  • Redshift
  • SQL
  • United States

Berufserfahrung

  • Data Engineer
  • Data Infrastructure
  • Data Analyst

Sprachkenntnisse

  • English
Hinweis für Nutzer

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