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Manager Predictive Analytics Jobs in Indiana (NOW HIRING)

Ra

Customer Analytic Manager

Indianapolis, IN

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Munich Re

Data Scientist, AI

Fishers, IN · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Develop and project manage modeling projects and statistical analyses. * Effectively communicate ...

Munich Re

Data Scientist, AI

Indianapolis, IN · On-site +1

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Develop and project manage modeling projects and statistical analyses. * Effectively communicate ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

... or manager. * Work with datasets of moderate size and complexity. * Develop visualization of ... predictive analytics or equivalent; or any combination of education and experience, which would ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

... or manager. * Work with datasets of moderate size and complexity. * Develop visualization of ... predictive analytics or equivalent; or any combination of education and experience, which would ...

AllSTEM Connections

Project Scheduler

Wheatfield, IN · On-site

$104K - $145K/yr

Key Responsibilities Baseline Development & Predictive Analytics • Integrated Baselines: Develop qualitative, risk-managed project baselines that provide a reliable measure of project performance ...

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Manager Predictive Analytics information

What are the key skills and qualifications needed to thrive as a Manager Predictive Analytics, and why are they important?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Director of Data Science or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies by industry, location, and company size.

What are the main challenges faced by a Manager of Predictive Analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, providing insights, and making strategic decisions that require human judgment and domain expertise. The role is evolving to include skills in AI tools and programming languages like Python or R.

What jobs use predictive analytics?

Jobs that use predictive analytics include roles such as data analysts, data scientists, business analysts, marketing analysts, financial analysts, and operations managers. These roles involve analyzing data, building models, and using tools like Python, R, or SAS to forecast trends and support decision-making across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst or progressing into roles like Manager of Predictive Analytics. Success depends on skills, experience, and continuous learning in tools such as SQL, Python, or R, regardless of age. Many professionals transition into analytics later in their careers and find opportunities based on their expertise and adaptability.

What are Manager Predictive Analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.
What are the most commonly searched types of Predictive Analytics jobs in Indiana? The most popular types of Predictive Analytics jobs in Indiana are:
What are popular job titles related to Manager Predictive Analytics jobs in Indiana? For Manager Predictive Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Manager Predictive Analytics jobs in Indiana look for? The top searched job categories for Manager Predictive Analytics jobs in Indiana are:
What cities in Indiana are hiring for Manager Predictive Analytics jobs? Cities in Indiana with the most Manager Predictive Analytics job openings:
Manager Predictive Analytics jobs near you
Infographic showing various Manager Predictive Analytics job openings in Indiana as of July 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution.

Manager/Sr. Analyst, Finance Predictive Analytics

Salesforce, Inc.

Indianapolis, IN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

120th of 241 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Finance

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

We are seeking a Manager/Sr. Analyst, Finance Data Science & Predictive Analytics to help build and scale advanced analytics, machine learning, and AI-driven forecasting capabilities within Financial Planning & Analysis (FP&A). This role will partner closely with finance and data teams to develop predictive models, automate insights, and enhance the accuracy of financial planning and decision-making. The ideal candidate combines strong technical expertise with business acumen and thrives in a fast-paced, highly collaborative environment.

What You'll Actually Be Doing

  • Develop and deploy predictive models that improve financial forecasting, planning, and business performance visibility.

  • Partner with FP&A teams to identify high-impact use cases and translate business challenges into scalable analytics solutions.

  • Establish foundational data pipelines, model governance, and performance monitoring processes to support enterprise-grade forecasting capabilities.

  • Generate actionable insights from financial and operational data to support strategic decision-making.

  • Drive adoption of AI, machine learning, and automation solutions across Finance in partnership with FP&A, and Data teams.

  • Build self-service analytics and reporting capabilities that improve stakeholder access to trusted financial and business performance metrics.

  • Ensure data integrity, reconciliation, and consistency across multiple systems and data sources.

  • Communicate analytical findings and recommendations to finance leadership and cross-functional stakeholders.

You're Our Person If...

  • 4+ years of experience in Finance Analytics, Data Science, FP&A, Business Intelligence, or related fields for Sr. Analyst level; 7+ years of experience in Finance Analytics, Data Science, FP&A, Business Intelligence, or related fields for Manager level.

  • Bachelor's degree in Finance, Economics, Statistics, Computer Science, Engineering, or a related discipline or equivalent relevant experience required. Experience will be evaluated based on the Core Competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

  • Strong hands-on experience with SQL and Python, including building and deploying analytical models.

  • Experience working with cloud data platforms and modern analytics environments (e.g., GCP, Snowflake, BigQuery).

  • Familiarity with machine learning techniques, predictive modeling, and AI/LLM-based applications.

  • Experience with BI and observability tools such as Tableau, Looker, Amplitude, Datadog, or similar platforms.

  • Strong data validation and reconciliation skills across large, complex datasets

  • Ability to translate technical concepts into business insights for non-technical audiences.

  • Self-starter who is comfortable operating in ambiguity, building new capabilities from the ground up, and influencing without direct authority.

Even Better If...

  • Experience within SaaS or technology organizations

This role is hybrid and goes into the office 3 days per week.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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