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Data Analytics Manager

Indiana Packers Corporation -
Delphi, IN

Quick Apply

Job Details

Full-time
7 days ago

Benefits

Health insurance
Dental insurance
401(k)
Tuition reimbursement
Vision insurance

Qualifications

Performance dashboard reports
Commercial use (data warehousing systems)
Data visualization software proficiency
Data analysis reporting
Dashboard creation
Business intelligence report generation
Dashboard creation support
Financial dashboard reporting
Programming languages
Data Architecture Design (Architecture design skills)
Bachelor's degree
Financial data analysis tools
Cross-functional communication
Statistical analysis tools

Full Job Description

Data Analytics Manager

Location: This is a remote position

Travel: Up to 25 percent, with heavier travel expected during onboarding and key initiatives

Department: FP&A / Data Analytics

Reports To: Sr. Director of FP&A

Position Overview

As a Data Analytics Manager in the FP&A group, you will play a key role in building out analytics capabilities from the ground up. This is a hands-on leadership role where you will lead reporting and analytics development, partner with business teams, and drive meaningful insights that support decision-making across the organization. You will operate at the intersection of strategy and execution, balancing business partnership, technical depth, and process improvement. A critical component of this role is designing, building, and executing a scalable data lake and data architecture to serve as the single source of truth for the enterprise. This role offers the opportunity to influence how the business thinks about and uses data, while shaping future team structure as opportunities and requests grow.

Key Responsibilities:

Team Leadership and Development

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

Strategic Partnership and Collaboration

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

Data Architecture and Engineering

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

Data Analytics and Reporting

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

Process Improvement and Innovation

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

Training and Communication

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

Minimum Qualifications

Education and Experience

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

Skills and Competencies

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

Preferred Qualifications

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

Other Duties:

Please note, this job description is not designated to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.

Physical Demand:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Work is primarily performed in an office setting in a manufacturing environment requiring the ability to sit, talk, hear, frequent walking, standing, and sitting; use hands to finger, handle, or feel; reach with hands and arms and stoop, kneel, crouch, or crawl. Ability to occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and distance vision. Ability to use standard office equipment such as telephone, computer, and copier.

Background Screening/Checks:

This position is contingent upon the successful completion of a background check. This may include verification of employment, education, criminal background, driving history, and other relevant information, conducted in accordance with applicable federal, state, and local laws and regulations.

EOE, including Disability/Veteran

#LI-MB1

IND123

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