Vacancy expired!
Position: Lead Data AnalystDuration: 6 Month, ContractLocation: Cincinnati, OH (Flex onsite/remote)Pay: $55.00 per hour / W2 OnlyBenefits: CRG offers a full comprehensive benefits package to all contractors
JOB DESCRIPTION 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. Our client is a retail data science, insights, and media company. They help their parent 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 they do? We create results-driving shopper insights and activation strategies that build measurable value for our clients utilizing Insights, Loyalty Marketing, and their retail media advertising solution. How do they do it? Powered by cutting-edge science, they 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 their customers and more than 300 consumer packaged goods companies. They put the customer at the center of everything they do, resulting in a more dynamic, informed, and personal approach to driving customer loyalty. REQUIREMENTS- 5-7 years relevant 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
- 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 to easily understood
- Interpret data and communicate results to both technical and business stakeholders
- 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
- 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
- Education: Bachelor's degree or equivalent experience
- 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
- Mapping and documenting how new data fits into the ecosystem
- Understanding the impact of changes to downstream consumption
- Finding the root cause to anomalies and collaborating on the corrective course of action
- 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 considering 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
- Guard and maintain the data architecture; ensuring your data is easily discoverable, addressable, trustworthy, self-describing, interoperable, secure and follows global standards
Vacancy expired!