Brian Amrine Email & Phone Number

Bluffton, Sc, Us

Burlington, Massachusetts, Us

Chapel Hill, North Carolina, Us

• Help organizations turn their data into higher value decisions through rigorous, affordable, and fast analytics consulting and transformation• Designed, created, and enhance company website (valuedrivenanalytics.com)• Create and execute company’s marketing strategy, including SEO/organic search, SEM/paid search, organic and paid social media (LinkedIn, YouTube, Twitter, Facebook), and other marketing (branded clothing, business cards, etc…)• Create and deliver engaging sales presentations and proof of concepts for prospective clients• Lead analytics trainings, 1:1 troubleshooting consultations, and interactive dashboard and predictive model builds• Manage team of contractors• Wrote, filmed, and edited “The Definitive Guide to Data Analytics” training series, an introductory training series covering an analytics overview, Excel, Power BI, Python, SQL, data science, and analytics soft skills (https://valuedrivenanalytics.com/complimentary-introduction-to-analytics-training); created 200+ analytics, data science, and leadership training videos on the @ValueDrivenAnalytics YouTube channel, growing it to 1.5k+ subscribers• Created the automated Microsoft Forms and Python-based “Analytics Transformation Assessment” on valuedrivenanalytics.com, which allows visitors to take a 34-question quiz and get a free PDF with their organization’s current level of analytics maturity and advice on how to get to the next level• Created the 7-Step Roadmap to Analytics Maturity Transformation (https://valuedrivenanalytics.com/analytics-transformation-roadmap/) and the "Ultimate Guide to Analytics Maturity Transformation" eBook that walks through a process that's proven to transform multiple firms from manual, static reporting to automated, interactive dashboards and proactive advanced analytics

Dallas, Texas, Us

• August 2022: Proactively joined Interstate Batteries as a business analyst II in order to have a transformative impact on analytics at a company I was passionate about• November 2022: Promoted to manager of the company’s central analytics team that handles reporting and analysis for sales, marketing, finance, supply chain, distributors, and testing (5 direct reports) as a result of proactive leadership, demonstrated passion for analyst development, rigorous analysis, and a high level of efficiency• Received 5 green stars, 2 outrageously dependable awards, top performance rating, and a special recognition award given to top 10-20 employees by executive leadership team based on contributions to long-term success in FY23Sample of Leadership Accomplishments:• Proactively launched more than a dozen training sessions on Python (data manipulation, automation, regression, machine learning), Snowflake SQL, and data science algorithms (clustering, time series, recommendation engines, neural networks); > 100 employees attended at least 1 session and net promoter score was ~75%• Worked with team to launch cross-departmental analytics collaboration initiatives, including monthly analysis meetings, weekly office hours, and a 1:1 mentorship program• Led transition from Tableau to Power BI, dramatically enhancing reporting experience for distributors• Saved company over $100k per year (and began process to save even more) by switching to less expensive, yet more efficient and flexible toolsSample of Analytical Accomplishments:• Used Tableau, Power BI, Alteryx, Snowflake, and Python to create accurate, automated, and actionable reporting for sales, marketing, finance, supply chain, distributors, and testing stakeholders• Proactively created numerous reusable analytical assets to increase team’s efficiency and make processes more consistent & reliable• Built model that recommends which parts to load on delivery trucks replenishing dealer inventory

Dallas, Texas, Us

Tempe, Arizona, Us

• June 2017: Started at Align Technology as individual contributor in marketing department, rotating across different areas• April 2018: Promoted to manager of 1 employee as a result of proactive leadership and timely, robust analysis• April 2019: Given opportunity to hire and manage team of 4 analysts in sales analytics after demonstrating skills developing direct report• June 2020: Promoted to senior manager of sales analytics as a result of developing team members into efficient analysts delivering robust insights• July 2021: Promoted to director of sales analytics as a result of growing team to as many as ~15 trusted analytics partners (including 2 people managers, full time direct, indirect, and matrixed individual contributors, and contractors)• Consistently received company’s top performance ratingSample of Leadership Accomplishments:• Proactively drove company’s transition from manual, static Excel reporting to automated, interactive dashboards by personally using SQL, Python, and Power BI, illustrating benefits to analysts and stakeholders, and training them• Proactively launched cross-departmental collaboration initiatives among international group of 300+ people in analytics-related roles, including monthly analysis meetings, an online forum for resources and questions, one-day solutions, and more than a dozen trainings on SQL, Power BI, Python, & data science• Transformed the skillset of team members, mentoring them in coding, data science, efficiency, prioritization, and communication and inspiring them to leadSample of Analytical Accomplishments:• Used Python, SQL, and Power BI to analyze and present effectiveness of professional/consumer marketing, pricing, and clinical education initiatives; also modeled best targets for these• Built regression models to help call center team prioritize consumers to call; implemented in Salesforce.com within 2 weeks of getting data• Built regression model that determines sales quotas

Tempe, Arizona, Us

Tempe, Arizona, Us

Tempe, Arizona, Us

Tempe, Arizona, Us

San Jose, Ca, Us

• Used Python and Hive to build decision tree, logistic regression, random forest, gradient boosting, scorecard, and ensemble models on big data (stored via Hadoop) to predict customer behavior for sales effort prioritization• Gained buy-in for implementing analytical concepts such as predictive modeling and A/B testing across Cisco to create and prove business value• Formally and informally mentored developing data scientists in coding, analytics, and modeling concepts• Performed recruiting activities, such as interviewing candidates and creating and encouraging use of business cases in hiring process

Richmond, Virginia, Us

• Promoted from senior analyst to manager in 2015• Served as single initiative-level analytical consultant on agile team responsible for digital transformation initiatives (offline customer identity matching, digital customer identity matching, customer data mart, data management platform)• Managed summer intern in building predictive models and Tableau dashboard• Mentored 6+ analysts in predictive modeling, analytical techniques, test design, CarMax data, and coding • Performed recruiting activities, such as interviewing candidates and career fair recruiting• Led and created content for analytics portion of new hire analyst training as analytics training product manager• Served on test design governance committee, ensuring major tests are robust in methodology• Used SAS, SQL, and R to analyze and interpret in-store and online customer data, presenting insights and recommendations to vice-presidents and CMO• Created process and database design for company’s first SQL database with click-level website data• Led creation of innovative methods for linking together shoppers’ online and in-store interactions with company• Built SAS and R logistic regression models that predict customer behavior to optimize marketing programs• Used SAS to create digital marketing attribution models• Used SAS to build vehicle recommendation tool based on similar vehicles• Analyzed, optimized, and presented marketing campaign and channel performance

Richmond, Virginia, Us

• Promoted from analyst to senior analyst in 2012• Mentored analyst, providing feedback on objectives and competency development• Performed recruiting activities, such as interviewing candidates and career fair recruiting• Used SAS to analyze credit policy expansion/contraction opportunities that resulted in millions of dollars in incremental monthly profit, becoming company expert on the credit policy model that determined approval decision for every applicant• Explained business trends and presented credit policy proposals to vice-presidents and CFO• Led analysis on refreshes of credit policy model, new models evaluated, and defined strategy for incorporating alternative data into credit policy, which enabled credit approval of applicants with little formal credit history• Identified opportunities and solutions in fraud verification procedures, which enabled approval of additional applicants with low risk of default• Led a cross-functional team in the creation of a semi-automated payment dispute resolution process, which ensured EFTA compliance and improved customer service• Used SAS reporting and macro procedures to create several automated reports to track performance of company, initiatives, departments, and tests• Built SAS OLS regression risk model to determine which wholesale customers should be approved for writing checks at CarMax auctions• Used SAS to select and summarize accounts to be included in securitization deals• Served as master of ceremonies at 3 quarterly business updates to ~300 people and, as a result of performance, was selected to serve on company’s communication committee

Richmond, Virginia, Us