Associate Business Data Analyst
Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions including 9 of the top 10 U.S. banks. Prove’s cloud solutions and mobile intelligence -driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately, while mitigating fraud. Prove’s solutions are available in 195 countries. For the latest updates from Prove, follow us on LinkedIn.
As we continue to scale our company, we are looking for people 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 smarts, but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.
Prove has big plans; we’re excited and optimistic about the future. If this sounds like a career for you – come check us out.
As an Associate Business Data Analyst working in Prove’s Revenue Team, you play a critical role in defining how Prove’s clients use our phone P(ossession), R(eputation), O(wnership) solutions.
Under the direction of the Business Intelligence Manager, and in partnership with the revenue and data science teams, you will analyze and interpret the results of client data studies; and then make recommendations based on your analysis to show clients how they may use Prove products to solve for their unique customer experience, fraud, identity verification, or consumer authentication challenges.You will work closely with the Revenue and Data Science teams to assist in the creation and maintenance of various BI reports, analysis, and PowerPoint presentations; data models and analytical tools to provide data analytical support to a wide range of internal and external stakeholders.
Where applicable, you will assist in the process of identifying prospective clients' current process to either replace or complement incumbent solutions with Prove solutions.
What You Are Accountable For
- Define and deliver metrics, reporting platforms, dashboards, and analytical models vital for tracking and managing the business
- Identify business challenges and initiate process improvement projects
- Assist in the creation of scalable processes and the identification of key performance indicators across Revenue, Marketing, Engineering, and Operations, etc.
- Responsible for gathering and cleaning of datasets across multiple data sources
- Assist in prototyping new analytics and machine learning models to understand customer and product behavior; and extract key insights that impact product decisions
- Assist our Business Intelligence, Product and Engineering teams to aid in the testing of new product ideas; and analyze the results to provide actionable recommendations that inform product strategy
Required Education & Experience
- Experience at a technology start-up or rapidly scaling company
- Solid understanding of statistical concepts and experience in applying them to solve business problems
- Experience in R or Python and experience in a scripting language (C-shell or Bash)
- Excellent written, verbal and presentation skills
- Cultural values of humility, passion, inclusion and leadership
- Understanding of Salesforce, Asana, Visio, Powerpoint, Tableau, and Jira
- Bachelor’s degree with relevant experience or Masters in related field
Preferred Qualifications
Working knowledge of data science concepts such as:
- Setting up a supervised modeling problem
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Evaluating model performance through common metrics such as AUC, GINI, KS, etc.
- Advantages and disadvantages of various supervised modeling techniques such as Linear/Logistic Regression, Decision Trees, Ensemble Modeling, etc.
- Unsupervised modeling techniques such as K-means, PCA. LDA, etc.
This position description should not be considered the final description of the position. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions.
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.