Data Analytics Engineer

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

SecurityScorecard is looking for our first Analytics Engineer to build out our data function. This function will provide SSC with accurate and up-to-date data models to inform our operational and strategic decisions. You are an ideal candidate if

• You are great at identifying and solving problems.
• You work independently to define, build, and analyze data and metrics.
• You like solving complex challenges and delivering measurable impact.

What Your Impact Will Be:

Founding Analytics Engineering Function

• Build a centralized analytics engineering function that partners with individual engineering teams to design, create, and maintain data models that capture key business metrics.
• Partner with Engineering to write SQL for ETL flows.
• Improve data collection and reporting processes to automate manual workflows and ensure data quality.

Make Data Available to Practitioners

• Drive best-in-class data processes and standards that ensure data is accurate, up-to-date, reliable, and easily accessible to all parts of the organization.
• Partner with the Engineering Infrastructure team to understand, evolve, and maintain our data stack (warehouse, ETL, BI tool, etc.).

Expand Data Culture

• Collaborate with cross-functional stakeholders to understand data needs, identify opportunities for data-driven decision-making, and develop solutions to capitalize on these.
• Partner with data analysts to create analysis, dashboards, and visualizations that uncover valuable insights and drive informed decisions.
• Lead by example with compelling visualizations and data storytelling.

About You

• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs.
• You have a point-of-view on the modern data stack and how to implement a stage-appropriate stack at a scaling start-up.
• You’re comfortable with both working in the trenches writing SQL and with taking a big-picture view while advising senior leadership on data insights.
• More likely to be told “Slow Down” than “Jump in”.
• Hungry, humble, scrappy, and will thrive in fast-paced environments and manage multiple priorities simultaneously.
• You get a kick out of digging deep into the data, thinking from first principles, and delivering results that move the needle.
• You have a process-oriented mindset and enjoy doing whatever it takes to execute complex projects.
• You want to promote and evangelize a data-driven mentality at the company and are ready to teach those who want to learn.

Qualifications

• 6+ years experience in an analytics engineering, data engineer, or business intelligence role
• Solid experience with data architecture, data warehousing, and ETL pipelines
• Experience with at least one BI platform (Tableau, Looker, Sigma, etc.)
• Proficient in writing legible, well-documented, and performant SQL (your code doesn’t just work, it’s optimized for its use case).
• Exceptional verbal & written communication. You’re able to convey complex, technical topics to an array of stakeholders in a digestible and compelling manner.
• Strong project management skills with experience working with cross-functional teams and influencing stakeholders at all levels of the organization.

Our Data Stack

• FullStory
• Pendo
• Salesforce
• Heap
• Snowflake
• Tableau
• Metabase

Nice to Haves

• Knowledge of AWS ecosystem / CLI
• Familiarity with Python or other modern programming languages and use of libraries like:
• NumPy: for numerical computing
• Pandas: for data manipulation and analysis
• Matplolib: for data visualization
• SciPy: for scientific computing and advanced mathematical functions.
• Familiarity with various business systems (e.g. Salesforce, Hubspot, Heap, Segment, Google Analytics, etc.).
• Experience with data orchestration technologies using DAG frameworks (e.g. Airflow, etc.)

Benefits:
Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position (base plus bonus) is:

• $140,000 - $183,000 in the United States
• $155,000 - $203,000 in Austin, TX
• $175,000 - $228,000 in New York, NY

Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI