Senior Statistical Analyst at Driven Brands

Posted in Science 6 days ago.

This job brought to you by eQuest

Type: Full-Time
Location: Charlotte, North Carolina





Job Description:

A Roark Capital Group Portfolio Company, Driven Brands (drivenbrands.com) is on a rapid-growth trajectory. Headquartered in Charlotte, NC, a city on a similar upward path, Driven is more than the first word in our name, it’s also the one word that best describes our culture. A culture shaped by five bedrock values: bold, meritocracy, inclusive, integrity and fun. We have in place and are continuing to build a world-class team of leaders to optimize, invigorate and reshape business models and well-known brands. There is a well-defined, forward-leaning DrivenDream and we’re selectively filling our ranks with talent to achieve it. Driven Brands is a growth-driven franchisor of some of the most well-known brands in the automobile services and parts distribution industries. Operating 2,500+ locations across all 50 states and ten Canadian provinces, Driven Brands franchises service over 5 million vehicles annually, and generated +$2.5 billion in system-wide sales in 2016.

The Sr Statistical Analyst for Driven Brands will support the data scientist, economist and brand marketing teams through reliable forecasts and marketing performance analysis that guides data driven business decisions across a portfolio of brands.

PRIMARY RESPONSIBILITIES:


  • Build statistical models to identify drivers of sales across multiple brands across geographies. This includes data collection from third parties, creation and preparation of datasets to build multiple refreshable models using macroeconomic, marketing, operations, customer satisfaction and weather data.

  • Maintain a database of macroeconomic variables used for market analysis; work with the economist on industry growth forecasts and identify markets that have growth/expansion opportunity

  • Work with Business Development to identify growth opportunities for expansion across the brand portfolio

  • Leverage various types of customer segmentation models to enhance targeting efforts and drive measurable results

  • Synthesize data from multiple sources, organize, cleanse and interpret data, identify patterns, measure success of marketing campaigns

  • Form conclusions and actionable insights, present findings in a concise manner to management

  • Evaluate opportunities to improve speed and accuracy of data collection; work with the data scientist to enhance existing processes via advanced analytical methods


  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, Advanced Analytics or relevant field

  • Preferred 1-3 years of relevant work experience

  • Knowledge of various modeling techniques such as linear and logistic regression, time series forecasting, ARIMA, discriminant modeling, clustering

  • Experience with data analysis tools and software (R, Python, SPSS, SAS etc.) and querying languages (SQL)

  • Familiarity with government data – Census, BLS, BEA etc.

  • Ability to translate econometric concepts into business opportunity

  • Ability to work with large, complex, and disparate data (cleansing, connecting and analyzing)

  • Highest standards of accuracy and precision; highly organized

  • Strong analytical and problem solving skills

  • Ability to handle multiple priorities against multiple deadlines

  • Ability to work effectively across internal teams

  • Ability to communicate/present to senior level managers

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