Vacancy expired!
It is preferred that this person will sit in Cincinnati on a hybrid schedule. Chicago is a possibility for a highly qualified candidate.
84.51 knows customers, and we know how to connect you. Who are we? We are a retail data science, insights and media company. We help the Kroger Company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase, from initial awareness to activation, retention and beyond.What do we do? We create results-driving shopper insights and activation strategies that build measurable value for our clients utilizing 84.51 Insights, 84.51 Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.How do we do it? Powered by cutting-edge science, we leverage first party retail data from nearly 1 of 2 US households and more than two billion transactions to fuel a more customer-centric journey.Using a sophisticated, proprietary suite of tools and technology, we turn customer data into actionable knowledge. With unparalleled customer data and predictive analytics capabilities, we deliver personalized marketing strategies and ensure the best experience for customers of Kroger and more than 300 consumer packaged goods companies. We put the customer at the center of everything we do, resulting in a more dynamic, informed and personal approach to driving customer loyalty.SUMMARY: The LEAD DATA ANALYST will dive in deep to swim with our data and technology to solve real customer problems in ways that meet the needs of the business. You will work with your key stakeholders and partners to understand, map and solve problems with our data enabling the right things for our customers that deliver value to our business.RESPONSIBILITIES: Data SME with deep understanding of your data Curious data wizard with built-in curiosity that intrinsically makes you the subject matter expert Data Steward guardian and maintainer of the data architecture; ensuring your data is easily discoverable, addressable, trustworthy, self-describing, interoperable, secure and follows global standards Be an information conduit for data, collaborating with cross functional teams (product managers, engineers, data scientists) to solve business problems Persistent and passionate data miners experienced in interrogating, interpreting and effectively communicating findings by o mapping and documenting how new data fits into the ecosystem o understanding the impact of changes to downstream consumption o finding the root cause to anomalies and collaborating on the corrective course of action o providing as-is data insights Experience in managing data quality and measuring data fitness including investigating anomalies and defining metrics for ongoing data validation to build and maintain the trust of your consumers Experience in data virtualization techniques such as data libraries and APIs Understanding different types of data interactions the ways and reasons to interact from data discovery through productionizing Familiar with interpreting Data Governance, Privacy and Contracts to document guidelines around data confidentiality, security / access and use conditions Provide input and feedback into a product roadmap and overall integration of data with products taking into account the data lifecycle Manage data with a product mindset focus on outcomes (over outputs), problems to solve, the goals of your data and key metrics of success; as part of the team, responsible to collaboratively work together to think of a strategy that is believed to result in the best product solution for our customers Experience collaborating with vendor technical teams coordinating issues, new data needs or requesting enhancements QUALIFICATIONS, SKILLS, AND EXPERIENCE: Strong technical skills using SQL, PySpark, BigQuery or similar Familiarity with Hadoop, Cloud (Azure), Oracle, Snowflake or other similar technologies Technical understanding of data, flow diagrams, some ability to read code and scripts Ability to interpret data and communicate results to both technical and business stakeholders Ability to create high level data flow diagrams for a solution and facilitate collaborative cross functional review sessions to validate feasibility of the design to achieve the anticipated value Ability to guide the customers of your data in identifying business requirements, analysis, specification, and the ability to apply them in practice for implementing solutions Problem solving, critical thinking and analytical skills Planning, organizational and time management skills Comfort with ambiguity remains confident, positive and resourceful in the face of ambiguity and unexpected results; recovers quickly from setbacks Exhibits qualities of and have proven to be a great teammate Verbal and written communication skills, ability to translate between business and technical Familiar with or having a Product Mindset and applying Platform Thinking Technical acumen grasps the technical details to collaborate with product managers, engineers, architecture, and data scientists Business acumen grasps how the work ladders into the overall company objectives; ability to collaborate with product managers and business stakeholders, removing the technical complexities so as to be easily understood 5-7 years relevant experience Education: Bachelors degree or equivalent experience Guard and maintain the data architecture; ensuring your data is easily discoverable, addressable, trustworthy, self-describing, interoperable, secure and follows global standards Be an information conduit for data, collaborating with cross functional teams (product managers, engineers, data scientists) to solve business problems Communicate findings by mapping and documenting how new data fits into the ecosystem understanding the impact of changes to downstream consumption o Find the root cause to anomalies and collaborate on the corrective course of action Provide input and feedback into a product roadmap and overall integration of data with products taking into account the data lifecycle Manage data with a product mindset focus on outcomes (over outputs), problems to solve, the goals of your data and key metrics of success; as part of the team, responsible to collaboratively work together to think of a strategy that is believed to result in the best product solution for our customers Collaborate with vendor technical teams coordinating issues, new data needs or requesting enhancements- ID: #22208920
- State: Ohio Cincinnati 45201 Cincinnati USA
- City: Cincinnati
- Salary: USD TBD TBD
- Job type: Permanent
- Showed: 2021-11-05
- Deadline: 2022-01-02
- Category: Et cetera