2

Remote Data Jobs in Lafayette, IN (NOW HIRING)

Remote Data information

See Lafayette, IN salary details

$44.3K

$158.8K

$234.3K

How much do remote data jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data in Lafayette, IN is $158,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible, making them accessible to a wide range of job seekers.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Lafayette, IN? The most popular types of Data jobs in Lafayette, IN are:
What job categories do people searching Remote Data jobs in Lafayette, IN look for? The top searched job categories for Remote Data jobs in Lafayette, IN are:
What cities near Lafayette, IN are hiring for Remote Data jobs? Cities near Lafayette, IN with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Lafayette, IN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,770 per year, or $76.3 per hour.

Data Analytics Manager

Specialty Foods Group

Delphi, IN • Remote

Full-time

Posted 29 days ago


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 QualificationsEducation 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