As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn.
Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.
Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team!
Title: Data Intelligence Analyst
Department: Data Science
Reports To: Manager, Data Scientist Engineering
FLSA Status: Exempt
Location: Denver, CO or Chicago, IL
Job Summary
As a Prove Data Intelligence Analyst you’ll be responsible for managing the data infrastructure and reporting systems that directly inform business strategy. You’ll partner with stakeholders across Sales, Customer Success, Finance, and Product to transform complex raw data into actionable business insights and manage enterprise-level reporting to our customers.
You will join a fast-paced Data Science team that enjoys solving mysteries and has a desire to continuously grow and learn. The right candidate is highly collaborative, committed to giving and receiving constructive feedback, and effective in presenting analysis to both technical and non-technical stakeholders.
Responsibilities- Develop and maintain LookML models to standardize key performance indicators (KPIs).
- Optimize dashboards for usability and performance, adhering to Snowflake limitations.
- Automate recurring reporting tasks, such as scheduling Looker email deliveries.
- Incorporate observability metrics into Business Intelligence (BI) reports to enhance analytical depth.
- Partner with data engineering and data science teams to champion data requirements.
- Collaborate with the Finance and Legal teams to provide reporting support for contracts.
- Synthesize data learnings into compelling stories and communicate to stakeholders.
- Monitor and help refine metrics for product efficacy and customer success.
- Assist in prototyping new analytics & machine learning models that improve both our insights and the product directly.
- Work with product and engineering teams to aid testing of new product ideas and analyze results to provide actionable recommendations.
- Perform deep analysis and build models to understand customer and product behavior, and extract key insights that impact product decisions.
- Work with the broader Data Science team to find ways to scale our insights through better systems and automation.
- Monitor and troubleshoot BI system performance to ensure data accuracy and availability
- Implement governance practices, including row-level security, to ensure secure and compliant access to data.
- Lead customer data studies, providing valuable insight to Sales & Customer Success teams both during pre & post sale.
Experience
- 3+ years of experience with Looker as a data visualization tool.
- Strong expertise with SQL and preferred knowledge of LookML
- Strong understanding of Looker Performance tuning, caching behavior, and dashboard optimizations.
- Advanced investigation using observability tools (Splunk/Honeycomb).
- Knowledge of data warehousing and modeling concepts
- Familiar with Gitlab or similar tool for code management
- Experience training non-technical & technical users to use and/or build BI reports.
- Proficiency with APIs connections for automation and integration.
- Proficient in ETL and alerting functions within Snowflake/Looker.
- Experience in R or Python.
- Experience with applying high level statistical concepts to solve analytics problems.
- Degree in Computer Science, Information Systems, Data Analytics or equivalent experience.
- Excellent communication and presentation skills
Nice to have:
- Experience with supervised and unsupervised modeling
- Deep experience (5+ years) working as a Looker developer building views, explores, models, and final dashboards / reports
This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.
The anticipated salary range for this role is $95,000 - $110,000 plus variable commission / company bonus. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data.
Benefits & Perks for FTE Provers:
- Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan
- Modern Health for financial, mental, and physical wellness
- 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices)
- Unlimited Vacation and Flexible hours
- Comprehensive medical benefits for you and your family ❤️
- Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement)
- Bottomless snacks & beverages for certain office locations
- Daily GrubHub stipend for lunch if coming into the office (US Offices)
- A great place to work and connect with other talented Provers like yourself!
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Equal Opportunity Employment:
Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics
Privacy & Data Protection:
When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.
Top Skills
What We Do
As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments.
Why Work With Us
At Prove we made a contrarian bet that the way in which mobile phones instantly authenticated themselves would solve fundamental issues with trust on the web. We are proving this thesis by authenticating 10,000,000 transactions per day for Tier 1 US banks, says CEO Rodger Desai.
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