Come work at a place where we take pride in creating a workplace environment that values hard work, commitment, and growth .

　　Job Description:

　　Education:

　　Bachelor’s in engineering, Statistics, Data Science or Computer Sciences

　　Master’s degree in Analytics or data science (preferred)

　　Work Experiences:

　　Proven experience (8+ years) in advanced analytics, data science, or related roles. Preferably B2C or retail with a focus on Omnichannel.Skills:

　　Minimum 8 years of experience in the field of data analytics with at least 4 years in a Managerial role. Experience in retail is most desirable.

　　Excellent communication skills, detail-oriented, with the ability to interact with all levels of end users (IC to VP) and technical resources.

　　Hands-on capabilities in developing dashboards, automating data processes, validating data integrity, and building scalable analytical solutions, preferably in an ecommerce or retail setting.

　　Ability to drive innovation and stay current with emerging technologies related to advanced analytics.

　　Technical Skills:

　　High proficiency in using programming languages like Python, SQL, and BI tools like Tableau/Power BI, Looker, MicroStrategy

　　Proficient in using any one of the cloud technologies - GCP, AWS, or Azure. GCP hands-on is preferred.

　　Hands-on expertise with machine learning frameworks and familiarity with LLMs.

　　Advanced Analytics:

　　Data modeling experience in retail or ecommerce will be ideal.

　　High proficiency in advanced analytics techniques, exploratory data analysis (e.g., linear/logistic regression, cluster analysis), and its application in the right use cases to drive results.

　　Ideate, build, and test minimum viable products (MVP) and scale data products utilizing state-of-the-art AI technologies.

　　Strong experience in building, articulating, and delivering business cases and roadmaps around data use and/or a data-centric business strategy.

　　Demonstrated management capabilities to handle complex analytical projects from ideation to completion with actionable insights.

　　Embrace agile ways of working. Ability to prioritize workload, and meet multiple deadlines simultaneously in a fast-paced, frequently changing environment.

　　Able to work well independently, as well as effectively contribute to mentor, coach, and build highly talented team.

　　Proven to think strategically and translate business objectives into data and analytics strategies and deliver timely results.

　　Responsibilities:

　　Mentor the talented team of analysts, data scientists, product managers, and engineers to generate eloquent insights from data to drive the actions and manage the team dynamics. Lead by example to build a culture of accountability and rigor to substantiate proven business impact with data.

　　Provide near-term strategic and tactical plans to execute analytics for the omnichannel team.

　　Collect data, analyze trends, draw conclusions, and provide recommendations on cross-channel marketing tactics and strategies (including broadcast, social media, mobile marketing, and banner ads).

　　Develop and own data products roadmap, ideate and prioritize the requirements and feature engineering for the AI/ML product, and maintain the product backlog.

　　Formulate the work of the Data Science function into findings for application by the broader business, including for use in strategic decision-making and planning.

　　Oversee and contribute to the development and integration of machine learning models for predictive and prescriptive solutions.

　　Open to research and co-create MVP solutions using LLMs from leading AI vendors and share learnings with data Product and Engineering teams.

　　Creates experimental designs (test vs. control) for marketing tactics which allows for accurate ROI measurement.

　　Partner with enterprise engineering and BI teams to evaluate and integrate new data sources and scalable platforms required for the data products while continuously improving data governance and documentation across.

　　Partner with enterprise engineering and BI teams to construct downstream impact analysis and own change management communication for data sources.

　　Define, create, improve, govern, and own metrics documentation that is required to support the data-driven culture of Omnichannel organization.

　　Required to learn company policies, procedures, and safety rules. Ensure that the analytics solutions adhere to compliance, governance, and quality standards.

　　Duties may change and associates may be required to perform other duties as assigned.

　　Owns the development of advanced analytics talent across the organization and its applications in the business decision process.

　　Physical Requirements & Attendance:

　　Acceptable level of hearing and vision to perform job duties

　　Adhere to company work hours, policies, procedures, and rules governing professional staff behavior

　　Regular attendance required

　　Full time

　　Equal Employment Opportunity

　　Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law. ​

　　Academy® Sports + Outdoors is one of the nation’s largest sporting goods and outdoor retailers. It’s no surprise that we not only know how to create experiences for our customers, but for our team members as well. Understanding our people and the things that matter to them the most has been at the core of the Academy® culture for over 80 years. With more than 22,000 team members, we take pride in creating a workplace environment that values hard work, commitment, and growth.