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Business Analytics Manager Jobs in Spring, TX (NOW HIRING)

Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences. Demonstrated leader ...

... Manager is responsible for developing and maintaining comprehensive reports and analysis that ... Bachelor's degree in a quantitative field (e.g., statistics, mathematics, business analytics ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Champion change management and continuous improvement efforts Qualifications * Bachelor's degree in Business * 2-3 years experience in business analytics * Proficiency in Microsoft Office Suite ...

... management reporting, variance analysis, and executive-level presentations Ability to analyze complex financial and operational information and translate findings into clear business recommendations ...

... management reporting, variance analysis, and executive-level presentations • Ability to analyze complex financial and operational information and translate findings into clear business ...

Apply predictive analytics to forecast staffing and operational needs and advise on business ... Project Management and Methodology: * Apply Agile methodologies (Scrum, SAFe, Kanban) to manage and ...

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Business Analytics Manager information

See Spring, TX salary details

$29.4K

$63.4K

$115.2K

How much do business analytics manager jobs pay per year?

As of Jun 16, 2026, the average yearly pay for business analytics manager in Spring, TX is $63,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $73,400.00 per year, depending on experience, location, and employer.

What is the highest paying job in business analytics?

The highest paying roles in business analytics typically include Chief Data Officer, Director of Analytics, or Senior Data Scientist, with salaries often exceeding $150,000 annually. These positions require advanced skills in data management, strategic thinking, and experience with tools like SQL, Python, or R, along with leadership responsibilities.

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

To thrive as a Business Analytics Manager, you need strong analytical skills, proficiency in data modeling, and a solid background in business strategy, usually supported by a degree in business, statistics, or a related field. Expertise with analytics tools such as SQL, Python, Tableau, and experience with data warehousing systems are essential, along with relevant certifications like Certified Analytics Professional (CAP). Outstanding communication, leadership, and problem-solving skills help manage teams and translate complex data insights into actionable business strategies. These competencies ensure that data-driven decisions are effectively implemented to drive organizational growth and competitive advantage.

Can you make 6 figures as a business analyst?

Business Analytics Managers often have the potential to earn six-figure salaries, especially with several years of experience, advanced skills in data analysis tools, and industry certifications. Salary levels vary based on location, company size, and individual expertise, but reaching a six-figure income is achievable in this role.

What are some common challenges faced by Business Analytics Managers when aligning analytics initiatives with business objectives?

Business Analytics Managers often encounter challenges in ensuring that analytics projects are closely aligned with the company’s strategic goals. One common difficulty is bridging the communication gap between technical data teams and non-technical business stakeholders, ensuring that analytical insights are both actionable and understandable. Additionally, prioritizing projects with the most business impact and effectively managing stakeholder expectations can be complex. Success in this role often involves strong cross-functional collaboration, adaptability, and a proactive approach to aligning analytics with evolving business needs.

What is the difference between Business Analytics Manager vs Data Analyst?

AspectBusiness Analytics ManagerData Analyst
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with business unitsPerforms data collection, cleaning, and analysis; reports findings
Employer & Industry UsageBusiness sectors, consulting firms, tech companiesFinance, healthcare, marketing, tech

The Business Analytics Manager oversees analytics teams and strategic projects, focusing on business insights, while Data Analysts perform detailed data analysis and reporting. Both roles require strong analytical skills, but the manager has broader responsibilities in leadership and strategy.

What does a business analytics manager do?

A business analytics manager oversees the collection, analysis, and interpretation of data to support strategic decision-making within an organization. They develop reports, identify trends, and collaborate with teams to improve business performance, often using tools like SQL, Excel, and data visualization software. Strong analytical skills and knowledge of data management are essential for this role.

Will AI replace data analysts?

Business Analytics Managers and data analysts work together to interpret data and generate insights. AI tools can automate routine data processing and analysis tasks, but human expertise is still essential for complex problem-solving, contextual understanding, and strategic decision-making. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.
What are popular job titles related to Business Analytics Manager jobs in Spring, TX? For Business Analytics Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Business Analytics Manager jobs in Spring, TX look for? The top searched job categories for Business Analytics Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Business Analytics Manager jobs? Cities near Spring, TX with the most Business Analytics Manager job openings:
Infographic showing various Business Analytics Manager job openings in Spring, TX as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $63,435 per year, or $30.5 per hour.
Payment Analytics Manager - Payment Card Analytics

Payment Analytics Manager - Payment Card Analytics

Korn Ferry

Houston, TX • On-site

Other

Posted 14 days ago


Job description

Korn Ferry is partnering with our client on their search for a Payment Analytics Manager – Payment Card Analytics.


Company Overview:

  • Our client is a large, well established U.S. refining and energy supply organization with multiple refineries, terminals, pipelines, and related infrastructure assets across the United States
  • The company operates a significant crude refining footprint and employs several thousand professionals across refining, supply and trading, commercial, and corporate functions
  • The organization is known for its strong operational discipline, long term stability, and commitment to values such as safety, integrity, accountability, and collaboration
  • The company continues to invest in modern technology platforms, including enterprise ETRM systems, to enhance data driven decision making, risk management, and financial analytics across the business


Role Summary:

  • Payment Analytics Manager – Payment Card Analytics
  • Department: Payment Card / Analytics & Business Intelligence
  • Location: Houston, TX (On-site at Corporate Headquarters)
  • Team Scope: Join a highly collaborative analytics environment focused on driving data-driven decision making across Payment Card operations, marketing, customer service, IT, and business leadership
  • Primary Focus: Lead advanced analytics initiatives, develop predictive and optimization models, translate complex business challenges into analytical solutions, and drive profitability through actionable business intelligence and data strategy


Key Responsibilities:

  • Develop and implement advanced analytics models to drive business insights, operational optimization, and profitability improvements within Payment Card operations
  • Partner cross-functionally with IT, Marketing, Operations, Customer Service, and business leadership to identify analytical opportunities and support strategic initiatives
  • Act as an analytical translator between technical teams and operational business stakeholders to simplify complex information and support data-driven decision making
  • Create and deliver executive-level dashboards, presentations, and analytical reports for internal stakeholders and senior leadership
  • Lead research and development initiatives focused on enhancing analytics capabilities, automation, and data-driven innovation
  • Support the design, implementation, and governance of new data systems and analytical infrastructure
  • Develop and maintain data architecture, data dictionaries, governance processes, and quality control procedures to ensure data integrity and consistency
  • Build and maintain business intelligence solutions utilizing Power BI, DAX, M, Tableau, Power Platform, and related visualization tools
  • Apply predictive and exploratory analytics techniques including forecasting, trend analysis, optimization studies, and performance measurement
  • Explore and apply emerging technologies including ML/AI and augmented decision-making methodologies to improve business capabilities
  • Provide training and support to business users on analytics tools, reporting platforms, and data interpretation
  • Support ad hoc analytics requests and rapidly solve complex business problems in both team-based and independent environments


Ideal Candidate Profile:

  • Must have strong experience in data analytics, business intelligence, and advanced reporting environments
  • Minimum 5+ years of relevant analytics or business intelligence experience required
  • Strong hands-on expertise with Power BI, including DAX and Power Query (M), required
  • Experience with data visualization and automation platforms such as Tableau and Power Platform strongly preferred
  • Experience developing predictive models, optimization studies, forecasting, and advanced business analytics solutions
  • Strong ability to translate technical findings into actionable business recommendations for non-technical stakeholders
  • Bachelor’s degree preferred in Mathematics, Statistics, Computer Science, Engineering, Supply Chain, Business, or related discipline
  • Experience with SQL, Python, and/or R strongly preferred
  • Experience with SAP and Azure platforms is a plus
  • Knowledge of downstream Oil & Gas operations or payment card environments strongly preferred
  • Strong communication and presentation skills with the ability to influence stakeholders across multiple departments
  • Self-starter mindset with the ability to solve ambiguous and complex business challenges independently
  • Passionate about continuous learning, innovation, and applying emerging technologies to real-world business problems


Compensation & Benefits:

  • Competitive base salary commensurate with experience
  • Annual performance-based incentive opportunity
  • High-visibility role supporting enterprise-level analytics and modernization initiatives
  • Opportunity to work directly with senior leadership and cross-functional business units
  • Long-term career growth within analytics, business intelligence, strategy, or leadership pathways
  • Stable and well-established organization with strong investment in technology and innovation


Selling Points

  • High-impact analytics role driving strategic business decisions across a major enterprise environment
  • Opportunity to lead advanced analytics and business intelligence initiatives with direct influence on profitability and operational performance
  • Exposure to emerging technologies including AI, machine learning, predictive analytics, and automation
  • Collaborative environment working across IT, Marketing, Operations, Customer Service, and executive leadership
  • Ideal opportunity for a data-driven professional seeking ownership, visibility, technical growth, and long-term career progression
  • Work on complex and meaningful business challenges where analytics directly influences strategic outcomes


SE # 510803397