Indiana Packers Corporation
Linkedin · Posted yesterday
Data Analytics Manager
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Indexed description
Location: This is a remote position; seeking regional candidates based within a 3-hour drive of Lafayette, Indiana
- Build and shape a high-performing analytics team as needs grow
- Provide direction, mentorship, and coaching to future analysts
- Foster a collaborative, results-focused team environment centered on learning and execution
- Partner with business leaders to identify opportunities for improved reporting, process efficiency, and data-backed decision-making
- Translate business needs into actionable analytics solutions in alignment with strategic priorities
- Build strong cross-functional relationships with Finance, Operations, IT, and other support teams
- Design and implement best-in-class data drivers and performance metrics to accelerate decision-making
- Design, build, and execute a scalable enterprise data lake and supporting data architecture
- Establish raw, curated, and reporting data layers to support analytics and reporting needs
- Develop and manage ETL/ELT pipelines to integrate data from SAP S/4HANA, Digital Manufacturing, and legacy systems
- Ensure data governance, data quality, and consistency across the enterprise to enable a true single source of truth
- Evaluate and implement appropriate cloud technologies (Azure, AWS, Snowflake, etc.) to support scalability and performance
- Build and manage scalable dashboards and reports using Power BI and other tools
- Develop models and run ad hoc analyses tied to financial and operational goals
- Automate data processes using tools such as SQL, Python, R, or Alteryx
- Identify and implement improvements in reporting structure, accuracy, and delivery
- Maintain and optimize database environments to ensure data reliability and scalability
- Stay current with trends in analytics, visualization, and automation to bring forward innovative solutions
- Support business partners in effectively using dashboards and self-serve analytics tools
- Present findings clearly to both technical and non-technical audiences
- Ensure documentation of key metrics, calculations, and methodologies is accurate and transparent
- Bachelor's degree in Finance, Accounting, Business Analytics, Statistics, Data Science, Computer Science, or a related field
- 3 to 5 years of experience in data analytics, FP&A, business intelligence, or data engineering
- Hands-on experience building dashboards and reports, preferably in Power BI
- Proficiency in SQL with exposure to scripting languages such as Python or R
- Hands-on experience designing and building data lakes or enterprise data environments
- Demonstrated ability to work cross-functionally and communicate insights effectively
- Strong analytical thinking and problem-solving skills
- Excellent verbal and written communication abilities
- Highly organized and self-motivated with the ability to manage time independently in a remote work environment
- Comfortable working across distributed teams and managing competing priorities
- Experience in manufacturing, CPG, or operational environments
- Familiarity with SAP (S/4HANA, ECC, or BW) data structures
- Experience with cloud-based data platforms such as Snowflake, Azure, or AWS
- Experience with Alteryx, DAX, or Power Query for automation and transformation
- Experience integrating SAP data into modern data lake architectures
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