Data & Analytics Lead - IT
Wayne Farms LLC
- Oakwood, Ohio, United States
- Oakwood, Ohio, United States
À propos
Analytics Strategy & Business Ownership
Strong business acumen and ability to partner with business stakeholders and leadership to define key metrics, KPIs, and success measures
Translate business problems into prioritized analytics initiatives and analytics outcomes
Own and maintain the analytics roadmap, backlog, and prioritization of projects
Communicate insights, tradeoffs, and data changes to senior stakeholders
Establish and maintain a shared understanding of metrics, data standards, and ownership across the organization
Analytics Engineering & Technical Leadership
Provide guidance and leadership to consultants during the implementation of the cloud data platform and development of analytics capabilities
Support the design and building of analytics‑ready data models and datasets
Establish best practices for data modeling, metric definitions, and dataset design
Review and contribute to analytics engineering code with a focus on correctness, performance, and maintainability
Experience with BI and reporting tools (Tableau, Power BI, Looker, etc.)
Define and enforce metric definitions and analytic standards
Implement data quality checks, validation tests, and monitoring
Enablement & Scale
Make self‑service analytics easier and safer for analysts and business users
Promote data literacy and drive adoption of data‑driven decision making across the organization
Define and implement the analytics intake, prioritization, and delivery process
Establish best practices to ensure consistency and trust in data, analytics, and reporting
Establish standards for analytics development, testing, deployment, and documentation
Create and maintain clear documentation of data sources, transformations, definitions, and logic
Experience
10+ years in relevant work experience
5+ years in analytics, BI, or analytics engineering roles
Experience with cloud data platforms (Snowflake, Databricks, Fabric, etc.)
Strong SQL and data modeling experience
Familiarity with BI tools (Tableau, Power BI, Looker)
Experience working in early‑stage or building‑from‑scratch environments preferred
Strong communication and stakeholder management skills
Knowledge, Skills And Abilities
Familiarity with data ingestion tools (Fivetran, Airbyte, etc.) preferred
Exposure to version control (Git) and CI/CD practices
Experience with statistical modeling, predictive analytics, and machine learning to support advanced analytics initiatives
Understanding of data warehousing concepts (fact/dimension models, etc.)
Basic Python (nice to have, not required)
Ability to translate ambiguous questions into structured analytics
Supervisor Responsibilities
None. This is an individual‑contributor role
Education
Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field; Master’s degree preferred.
Work Environment
While performing the duties of this job, the employee is exposed to typical risks of injury in an office environment.
Duties include a typical office setting including extensive computer work, sitting or standing.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Must adhere to the company’s Code of Conduct and all other policies.
Safety Requirements
Follows all departmental and company safety policies and programs.
EQUAL OPPORTUNITY EMPLOYER As an Equal Opportunity Employer, Wayne‑Sanderson does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person’s veteran status or any other characteristic protected by law or executive order. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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Compétences linguistiques
- English
Avis aux utilisateurs
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