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General Motors LLC Business Facing Marketing Science Analyst in Helena, Montana

Job Description This is a remote position; the selected candidate can reside and perform the work from anywhere within the United States. The Business Facing Marketing Science Analyst will collaborate with business and Data Science leaders to develop plans for analytic projects that tackle business problems that can be operationalized to drive tangible business value. Roles and Responsibiliti es: Design and deploy test & learn methodologies, data science, and strategic marketing analyses across CRM, Digital and OLA marketing channels to optimize program tactics, broader strategy and the customer journey- collaborating with Marketing leads, constructing learning agendas, building marketing experiments, measuring performance and developing strategic analytic insights and stories. Driving marketing analytics innovation - advancing novel 1st, 2nd and 3rd party data opportunities, evolving marketing media mix and attribution modeling, deploying advanced analytics, predictive modeling (customer and event-based propensity and segmentation), and developing innovative analytic solutions to drive new business growth across media. Translate the needs of business customers to technical requirements for Data Scientist, Data Engineering and Business Intelligence teams. Build work related to strategy, roadmap, critical metri c definition, reporting and dashboards. Support analytical projects from conception to completion with high velocity and quality, be cognizant of status, roadblocks and pace of project throughout and intensify as needed to ensure success and on-time delivery to business partners. Deliver data-driven insights and 'tell the story' that enables strategic and operational decisions. Mentor others and handle project finances. Continuously enable to new solution trends and develop the skills for self and enable the practice to build the skills. Additional Job Description Required Qualifications: 5+ years of experience translating business needs to analytic solutions, influencing decisions through turning raw data into compelling stories, and completing the project life cycle through achieving measurable outcomes. Proven experience working with complex data a nd a nalytics projects as the primary liaison with business partners/leaders A proclivity for quantitative concepts, including academic/professional experience in one or more of the following fields: computer science, mathematics, finance, statistics, physics, engineering, biostatistics, cognitive or neurosciences, behavioral economics, econometrics Ability to develop & manage relationships with business partners, partially through accountability, following up on requests and delivering on commitments. Ability to collaborate cross-functionally to ensure project success. Thrives in a collaborative atmosphere and believe in the power of innovation through differing viewpoints Ability to quickly ramp up on new domains and understand business needs Strong business domain knowledge - customer experience, contact center performance, business analytics, sales/marketing analytics, data science Familiarity with craft ing and deploying reports with industry leading BI tools such as Tableau, PowerBI or Cognos Experience with data mining and programming languages such as SQL, Python or R Experience in a hands-on analytical function, management consulting or corporate strategy, or a similar function preferred 5+ years experience with CRM, Customer and Marketing Analytics Bachelor's degree in marketing, business, finance, or a quantitative subject area (Statistics, Economics, Operations Research, Mathematics, etc.) Preferred Qualifications: Advanced Analytics: Hands-on experience with predictive modeling, segmentation, AI/ML and other advanced methods Strong communication skills with an ability to connect-the-dots and synthesize stories, narratives and actionable recommendations from data. Ability to take ambiguous business questions and solve them in a structured, hyp othesis- driven approach Excellent project management skills, and ability to manage multiple priorities simultaneously. High degree of curiosity and innovation, thought leadership, independence and resourcefulness Experience with common Python modules including, Numpy, Scipy, StatsModels, Pandas, and Scikit-learn Please only apply if you DO NOT need sponsorship to work in the Unites States now or in the future. We are unable to consider candidates who require sponsorship. Compensation: The median level of salary compensation for this role is $109,000. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accide nt benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. \#gmremote \#LI-Remote About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel the y belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: • Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; • Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; • Company and matching contributions to 401K savings plan to help you save for retirement; • Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing; • Discount on GM vehicles for you, your family and friends. Diversity Infor mation r> General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/ expression or ve teran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.