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Full Time Remote Data Analyst Jobs in Indiana (NOW HIRING)

Sales Operations Analyst

Indianapolis, IN ยท On-site +1

$60K - $80K/yr

Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office Compensation: $60,000 - $80,000 ... We value collaboration, continuous improvement, and data-driven decision making. Position Summary ...

Billing Analyst - Hybrid Remote

Bloomington, IN ยท On-site +1

$42K - $56K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

... Data Warehouse / Business Analyst on a full-time, permanent basis for our client, a worldwide ... Must be able to work with the remote based BI team, and offshore development team, staying closely ...

United States (Remote) Interested applicants must reside in one of the following approved states ... analytics initiatives. Your work will empower the business to make data-driven decisions with ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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Full Time Remote Data Analyst information

What is the difference between Full Time Remote Data Analyst vs Full Time Remote Data Scientist?

AspectFull Time Remote Data AnalystFull Time Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or higher in Data Science, Computer Science, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentRemote, collaborative with teams, using data analysis toolsRemote, often involves complex modeling, coding, and advanced analytics
Industry UsageBusiness, finance, marketing, healthcareTech, finance, research, AI development

Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Data Scientists develop predictive models and advanced algorithms. Both roles are remote and require analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What is a Full Time Remote Data Analyst?

A Full Time Remote Data Analyst is a professional who works from a location outside the traditional office environment, usually from home, and is employed on a full-time basis. Their main responsibility is to collect, process, and analyze large sets of data to help organizations make informed decisions. They use statistical tools and software to interpret data trends, create reports, and present findings to stakeholders. Remote data analysts collaborate with teams via digital communication tools and may work with data from various industries, such as finance, healthcare, or technology. This role requires strong analytical skills, attention to detail, and proficiency with data analysis software.

What are some common challenges faced by full-time remote data analysts, and how can they be addressed?

One common challenge for full-time remote data analysts is maintaining clear communication and collaboration with team members who may be in different locations or time zones. To overcome this, it's important to proactively schedule regular check-ins, leverage collaborative tools (like Slack, Teams, or project management platforms), and document your work thoroughly for transparency. Additionally, remote analysts often need to manage their own time effectively and set boundaries to prevent burnout. Staying organized and maintaining a healthy work-life balance are essential for long-term success in this role.

What are the key skills and qualifications needed to thrive as a Full Time Remote Data Analyst, and why are they important?

To thrive as a Full Time Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Experience with data visualization tools (e.g., Tableau, Power BI), programming languages (e.g., Python, R), and advanced Excel functions is typically required. Excellent communication, self-motivation, and time management are standout soft skills for remote collaboration and clear reporting. These abilities are crucial for delivering actionable insights, maintaining productivity, and ensuring data-driven decision-making in a remote work environment.
What are the most commonly searched types of Remote Data Analyst jobs in Indiana? The most popular types of Remote Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Full Time Remote Data Analyst jobs? Cities in Indiana with the most Full Time Remote Data Analyst job openings:

Sales Operations Analyst

FlexTG

Indianapolis, IN โ€ข On-site, Remote

$60K - $80K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Sales Operations Analyst
Reports to: VP, Client Account Management
Location: Remote (U.S. only) or Hybrid within 40 miles of a FlexTG office
Compensation: $60,000 โ€“ $80,000 base + Quarterly Bonus

About FlexTG
FlexTG is a leading managed services provider helping organizations optimize office technology, workflows, and customer experience. With a national footprint and a people-first culture, we partner with clients to drive efficiency, innovation, and measurable business outcomes. We value collaboration, continuous improvement, and data-driven decision making.

Position Summary
The Sales Operations Analyst serves as the analytical partner to the VP of Client Account Management. This role is responsible for analyzing customer, financial, operational, and service data to identify opportunities that improve customer retention, profitability, satisfaction, and account growth. This individual will proactively identify trends, risks, and opportunities across the client portfolio and help drive data-based decisions across the organization.

Key Responsibilities

Strategic Analytics
โ€ข Partner with the VP of Client Account Management on strategic initiatives
โ€ข Analyze retention trends, renewal opportunities, profitability, and customer satisfaction metrics
โ€ข Identify at-risk accounts and recommend proactive retention strategies
โ€ข Develop customer health indicators and risk assessments
โ€ข Monitor portfolio performance and identify improvement opportunities

Business Insights
โ€ข Translate complex data into actionable recommendations for the CRM team
โ€ข Identify trends, patterns, and outliers across customer accounts
โ€ข Conduct root-cause analysis on escalations, service challenges, and churn
โ€ข Develop executive-level summaries that highlight risks and opportunities

Team Enablement
โ€ข Present insights and recommendations to leadership and CRM teams
โ€ข Share best practices derived from data analysis
โ€ข Help prioritize customer engagement strategies based on risk and opportunity
โ€ข Support development of customer success playbooks and retention strategies

Profitability & Growth Analysis
โ€ข Analyze account profitability and margin trends
โ€ข Identify opportunities to improve profitability through optimization
โ€ข Support upsell, cross-sell, and renewal strategies with data insights
โ€ข Measure and report on improvement initiatives

Reporting & Dashboard Management
โ€ข Develop and maintain executive dashboards and scorecards
โ€ข Support Quarterly Business Reviews (QBRs) and leadership reporting
โ€ข Deliver monthly portfolio performance updates
โ€ข Ensure data accuracy and consistency across systems

What Success Looks Like (First 12 Months)
โ€ข Proactively identifies and mitigates customer churn risks
โ€ข Helps increase retention across the portfolio
โ€ข Uncovers opportunities to improve profitability
โ€ข Enhances CRM effectiveness through actionable insights
โ€ข Builds credibility as a trusted advisor to leadership
โ€ข Supports a culture of data-driven decision making

Bonus Structure
Quarterly bonus eligibility tied to:
โ€ข Customer retention rate
โ€ข Early renewals
โ€ข Profit improvement
โ€ข Customer satisfaction (CSAT/NPS)
โ€ข QBR completion and quality

Qualifications

Required
โ€ข Bachelorโ€™s degree in Business, IT, Computer Science, or related field, or equivalent experience
โ€ข 3+ years of experience in a business analyst or similar role
โ€ข Strong analytical and problem-solving skills
โ€ข Ability to translate data into actionable insights
โ€ข Excellent verbal and written communication skills
โ€ข Experience with Power B.I and building tools, CRM (Salesforce, Dynamics)

Preferred
โ€ข Experience in the Managed Print or Managed Services industry
โ€ข Experience with Jira, Confluence, and Miro

Work Requirements
โ€ข Must be physically located in the United States
โ€ข Remote role; hybrid expectation if located within 40 miles of a FlexTG office
โ€ข Must be authorized to work in the U.S. without current or future sponsorship

Why FlexTG
โ€ข Collaborative, high-impact environment
โ€ข Exposure to senior leadership and strategic initiatives
โ€ข Opportunity to influence client success and business outcomes
โ€ข Competitive compensation with performance-based incentives
โ€ข Culture focused on growth, innovation, and continuous improvement

FlexTG provides equal employment opportunities to all employees and applicants for employment.  The Company prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics), pregnancy (including childbirth, lactation and related medical conditions), protected veteran status, uniformed servicemember status, or any other characteristic protected by federal, state or local laws.  This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, benefits, leaves of absence, compensation, and training.