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Data Research information

What are the typical daily responsibilities of someone working in Data Research?

A Data Research professional typically spends their day gathering large datasets from various sources, cleaning and organizing data, and conducting in-depth analyses to identify trends and meaningful insights. They often collaborate closely with other data professionals, business analysts, and cross-functional teams to understand project goals and deliver relevant findings. In addition, they prepare reports or visualizations to communicate their results and may present these to stakeholders. The role often requires adaptability, as project priorities and data sources can evolve frequently, making each day varied and engaging.

What is a Data Research job?

A Data Research job involves collecting, analyzing, and interpreting data to support decision-making and business strategies. Professionals in this role gather information from various sources, clean and organize datasets, and identify trends or patterns. They often use statistical tools and software to extract meaningful insights. Data researchers work in industries like finance, marketing, healthcare, and technology, helping organizations make data-driven decisions. Strong analytical skills, attention to detail, and proficiency in data tools are essential for success in this role.

Is 40 too late for data science?

Data research roles in data science do not have strict age limits, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as building a strong portfolio and experience. Age should not be a barrier if you focus on continuous learning and practical application.

What are the key skills and qualifications needed to thrive in the Data Research position, and why are they important?

To thrive as a Data Research professional, you need strong analytical skills, attention to detail, familiarity with data collection methods, and typically a degree in a relevant field like statistics, mathematics, or information science. Proficiency with data analysis tools such as Excel, SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI are commonly required, and specialized certifications in data analytics can be advantageous. Key soft skills include curiosity, critical thinking, collaboration, and effective communication to present findings clearly. These abilities are crucial for ensuring accurate data collection, insightful analysis, and actionable recommendations to support organizational decision-making.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

What does a data researcher do?

A data researcher collects, analyzes, and interprets large datasets to identify patterns, trends, and insights that support decision-making. They often use tools like Excel, SQL, or data visualization software and require strong analytical skills and attention to detail. Their work helps organizations make informed strategic choices based on data evidence.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around $50,000 annually, while experienced analysts can earn over $80,000 or more, especially with skills in SQL, Excel, and data visualization tools like Tableau. Certifications and advanced education can also increase earning potential.
More about Data Research jobs
What cities are hiring for Data Research jobs? Cities with the most Data Research job openings:
What are the most commonly searched types of Data Research jobs? The most popular types of Data Research jobs are:
What states have the most Data Research jobs? States with the most job openings for Data Research jobs include:
Infographic showing various Data Research job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution.
Category Manager Enterprise Data & Research Services

Category Manager Enterprise Data & Research Services

Bessemer Trust Inc.

Woodbridge, NJ

$120K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Position Summary

The Category Manager - Enterprise Data & Research Services will help lead the firm's enterprise-wide strategy for externally sourced data, including market data (e.g., Bloomberg, Refinitiv, S&P, Moody's, MSCI, FactSet, ICE), financial benchmarks, research platforms, ESG and alternative datasets, and related information services.

This is a high-impact role responsible for helping to define and execute a multi-year enterprise data strategy, strengthening commercial leverage across fragmented spend, structuring complex supplier negotiations, and driving measurable cost optimization while safeguarding licensing and regulatory compliance.

The successful candidate will serve as the commercial owner of the Enterprise Data category and a trusted advisor to senior stakeholders across Investments, Technology, Legal, Finance, and Risk. The role combines strategic sourcing, executive stakeholder engagement, licensing governance oversight, and enterprise-level supplier management.

Operational tracking and analytics support are provided by Category Support and Procurement Strategy & Analytics, enabling this role to focus on strategic value creation and commercial leadership.

Key Responsibilities

Enterprise Data Category Strategy

  • Define and execute a comprehensive, multi-year enterprise data strategy aligned with firm priorities and growth objectives.
  • Centralize and rationalize fragmented data spend to improve visibility, leverage, and enterprise coordination.
  • Develop and manage a forward-looking renewal and negotiation roadmap to proactively optimize commercial outcomes.
  • Identify opportunities for vendor consolidation, pricing model restructuring, entitlement optimization, and long-term value creation.
  • Serve as the firm's subject matter leader on enterprise data market dynamics, supplier ecosystems, and emerging data trends.

Strategic Vendor & Commercial Management

  • Lead complex negotiations with major global data providers and exchanges.
  • Structure multi-year agreements that align pricing, entitlements, and contractual protections with enterprise demand forecasts.
  • Establish executive-level supplier governance frameworks and performance management disciplines.
  • Drive accountability around licensing risk, audit exposure, and contractual compliance.
  • Partner closely with Legal to strengthen commercial protections and risk mitigation strategies.
  • Collaborate with senior business stakeholders to balance cost discipline with strategic data requirements.

Governance, Risk & Enterprise Alignment

  • Oversee enterprise-wide licensing governance standards and entitlement optimization initiatives.
  • Lead audit strategy and vendor review coordination in partnership with Risk and Technology.
  • Ensure proactive management of auto-renewal exposure and contractual risk.
  • Drive cross-functional alignment to eliminate redundant subscriptions and improve data consumption discipline.
  • Promote transparency and executive visibility into enterprise data spend and risk posture.

Governance, Risk & Enterprise Alignment

  • Deliver executive-level reporting on category performance, cost optimization, supplier risk exposure, and renewal sequencing.
  • Partner with Procurement Strategy & Analytics to validate savings and enhance KPI visibility.
  • Lead cross-functional initiatives to improve structural efficiency in data procurement and usage governance.

Qualifications

  • Bachelor's degree in Business, Finance, Supply Chain, or related field; advanced degree preferred.
  • 6-12 years of experience in enterprise data management, market data strategy, or strategic sourcing within financial services.
  • Deep expertise in financial data products, licensing models (including display and non-display usage), exchange governance, and vendor pricing structures.
  • Proven track record leading complex, high-value negotiations with global data providers.
  • Experience advising senior stakeholders and influencing enterprise-wide commercial decisions.
  • Strong commercial acumen and financial modeling capability.
  • Demonstrated ability to operate strategically while driving disciplined execution.
  • Executive-level communication and presentation skills.
  • Advanced proficiency in Excel; familiarity with ERP, spend management, and analytics platforms (e.g., QuickBase, Tableau, Power BI).

The base salary range for this position is $120,000.00 - $165,000.00 per year. This range reflects the minimum and maximum base salary we reasonably expect to pay for this role. In addition, this position may be eligible to participate in the relevant business unit's incentive compensation plan, and other compensation programs as applicable. Eligible employees may participate in a 401(k) program with a generous profit-sharing contribution, medical, prescription dental, and vision coverage; life insurance; disability coverage; paid holidays; vacation; and sick time, subject to plan terms and Company policies.

About Bessemer Trust:

  • Bessemer Trust is a family office, overseeing $250 billion in assets for 3,000 individuals and families of substantial wealth. Its more than 1,300 employees are singularly focused on private wealth management - disciplined investment management, sophisticated wealth planning, comprehensive family office services, and highly personalized client service.
  • Established in 1907 as the family office for Annie and Henry Phipps, Bessemer Trust is in its seventh generation of ownership by the Phipps family. As a self-made entrepreneur, Henry Phipps was a founding partner and chief financial officer of Carnegie Steel.
  • Bessemer Trust retains its original focus as a privately owned and independent wealth manager deeply committed to its mission of providing peace of mind to its clients. Bessemer's adherence to putting clients' interests first, fiduciary mindset, and highly collaborative culture are at the heart of everything the firm does.

Key Facts:

  • For more than 119 years, Bessemer Trust has operated continuously in a single line of business, independently owned by one family.
  • Headquartered in New York's Rockefeller Center, Bessemer Trust has 22 offices in total. Woodbridge, NJ, is one of the firm's largest offices, which hosts a wide range of technology and operations professionals. In addition to its sizable presence in New York and Woodbridge, the firm provides client service through offices in Atlanta, Boston, Chicago, Dallas, Delaware, Denver, Garden City, Grand Cayman, Greenwich, Houston, Los Angeles, Miami, Naples, Nevada, Palm Beach, San Diego, San Francisco, Seattle, Stuart, and Washington, D.C.
  • To watch a video about Bessemer Trust's history,click here.
  • To learn more about Bessemer Trust,click here.

About Our Employee Rewards and Benefits:

  • We provide exceptional rewards and benefits that are among the best in the industry, giving our people access to a wide range of options, including:
  • Competitive base salary plus discretionary annual bonus for select positions
  • A 401(k) plan with a generous annual profit-sharing contribution
  • Personalized development and career opportunities, including tuition reimbursement support
  • Comprehensive medical, dental, and vision plans with zero contributions for employee coverage
  • Employee assistance (EAP) and wellness programs
  • Hybrid work environment: 60% in office, 40% remote for most positions
  • Paid time off and paid parental leave
  • Employer-paid life insurance and short- and long-term disability coverage
  • Legal services and financial wellness plans at no cost to employees

Bessemer Trust is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We encourage candidates of diverse backgrounds to apply.