What you’ll do:
As a Data & Analytics strategist on the Merchant Data Enablement Team, you will be supporting the most critical strategic programs and initiatives that will enable Merchants to serve our customers better. In this role, you will have the responsibility to lead and develop solutions to support frictionless & seamless access to data insights for Merchants. This includes translating business needs into technical requirements, prioritizing, communicating to cross functional technology and business partners and finally testing, socializing, and driving adoption of the deliverable once completed. The role also involves building new and/or transforming existing reporting and analytics products through automation, process enhancements and incorporation of new data sources.
If you love enabling data solutions that can scale, have a strong customer mindset, love taking ownership to solve business challenges, enjoy continually learning through experimentation and working in a cross functional collaborative environment, we would love to have you on our team.
Driving Customer/Client Needs: Understands critical customer needs and preferences. Continuously seeks and analyzes user feedback for product improvement. Identifies possible process improvements to reduce turnaround times and enhance customer experiences.
Data Vision & Strategy: Comprehends and solves customer problems/needs. Supports identification of value creation and lifetime value of the product. Demonstrates awareness of problem statements, hypotheses, and prototypes. Demonstrates awareness of assumption testing, validation approaches and evaluation of results.
Data Driven Product Decisions: Conducts activities for product/feature analytics. Monitors, collects, and structures data and evaluates results. Assist in the planning, design, and implementation of exploratory data analysis.
Influencing & Building Stakeholder Consensus: Communicates in stakeholder meetings involving one to two teams. Proactively builds network. Articulates results/recommendations. Actively listens to others, acknowledges different technical perspectives, and connects to product in development
Technology Orientation: Demonstrates a basic understanding of privacy & security policies and process. Demonstrates awareness of quality measures and a basic understanding of technology landscapes. Demonstrates awareness of enterprise technology/platform components. Demonstrates knowledge of market segments and technology trends.
Domain Expertise: Identifies gaps across subdomains and reports gaps for potential innovation opportunities. Compares maturity or products, services, and processes within the subdomain with others in the industry.
You’ll sweep us off our feet if:
You have strong problem-solving skills
You enjoy collaborating with business and technology partners to build a consistent and accurate strategy for enabling data-driven insights and providing expert advice and guidance on the application of best practices.
You build relationships and partnerships with key stakeholders
You have experience in analytical tools such as Tableau & Tableau prep, Looker, PowerBI, Dataiku
You have a grasp of cloud and big data technologies: SQL, Python, R, Spark, Druid, Hive, Hadoop, GCP, BigQuery and other data warehouse products.
You understand data security & access concepts
You enjoy analyzing and ensuring accuracy of information by creating, maintaining, and evaluating data, evaluating trends and reviewing results for accuracy
You have an entrepreneurial mindset- you like moving fast and are nimble enough to jump from one project to the next with ease
You’re curious, always looking for new opportunities to up our game and are customer obsessed
You’re a great communicator
You are creative and resilient – always looking for new ways to approach problems and drive business performance
Bachelor’s degree in Business, Analytics, Statistics, Computer Science or related field and 2 years’ experience in data analytics, project management, business, or related area
Strong communication skills (oral, verbal, and listening) as well as the ability to influence stakeholders and understand their points of view
Comfortable in a fast-paced, growing environment and works well with ambiguity
Experience in practicing agile methodologies – Scrum, Kanban
Experience in using tools such as Jira Board, Confluence, Roadmap Tools
Technical experience in Data Analytics domain
Minimum Qualifications: Bachelor’s degree in Mathematics, Engineering, Economics, Computer Science, or related field and 1 year’s experience conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related area OR 3 years’ experience conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related area.
Business Analysis, Microsoft Office
702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America