Kroll
Kroll

60 Kroll Data Analyst Jobs Hiring Near You

... Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our ... Working on Data related technologies including but not limited to Databricks, Datalake, Azure Data ...

Kroll is seeking a strategic, delivery-focused Senior Director to lead its Sensitive Data Review ... Advanced technical ability to analyze structured and unstructured data sets. * Expertise in ...

Kroll is seeking a strategic, delivery-focused Senior Director to lead its Sensitive Data Review ... Advanced technical ability to analyze structured and unstructured data sets. * Expertise in ...

Kroll's Portfolio Valuation practice is the leading provider of valuation advisory services to the ... Conduct valuation analysis on a diverse portfolio of illiquid investments across various industries ...

Senior Associate, Property Tax Compliance

Richardson, TX · Hybrid

$74K - $91.70K/yr

Gathering data on valuation analytics (income approach valuations, obsolescence calculations, etc ... About Kroll Join the global leader in risk and financial advisory solutions-Kroll. With a nearly ...

Vice President, Transfer Pricing

Boston, MA · On-site

$90K - $200K/yr

Leverage data, automation, or analytics tools to enhance analysis and efficiency Essential traits ... About Kroll Join the global leader in risk and financial advisory solutions-Kroll. With a nearly ...

Senior Associate, Property Tax Compliance

Richardson, TX · On-site

$74K - $91.70K/yr

Gathering data on valuation analytics (income approach valuations, obsolescence calculations, etc ... About Kroll Join the global leader in risk and financial advisory solutions-Kroll. With a nearly ...

Kroll's Portfolio Valuation practice is the leading provider of valuation advisory services to the ... Conduct valuation analysis on a diverse portfolio of illiquid investments across various industries ...

Director, Portfolio Valuation

Nashville, TN · On-site

$125K - $250K/yr

Kroll's Portfolio Valuation practice is the leading provider of valuation advisory services to the ... Performing valuation analysis on a wide range of illiquid investments broadly distributed across ...

Drafting expert reports and analysis for the final reports * Managing the tasks/workload of the ... of data Join the global leader in risk and financial advisory solutions-Kroll. With a nearly ...

Leverage data, automation, or analytics tools to enhance analysis and efficiency Essential traits ... About Kroll Join the global leader in risk and financial advisory solutions-Kroll. With a nearly ...

Showing results 21-40

Kroll Jobs Information

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What is it like to work at Kroll?

Kroll is a global risk and financial advisory firm that values a collaborative and dynamic work environment, fostering a culture of teamwork, innovation, and expertise. The company's structure is organized into specialized teams, including forensic, risk, and financial advisory services, allowing professionals to develop their skills and expertise in a specific area. Working at Kroll may appeal to candidates seeking a challenging and rewarding career in a fast-paced, global organization with opportunities for professional growth and development.
What are the most popular categories at Kroll?
Infographic showing various Data Analyst job openings at Kroll in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 66% Physical, 30% Hybrid, and 4% Remote job distribution.
Manager II, Database Architect

Manager II, Database Architect

Kroll

Toronto, ON • On-site

Full-time

Posted 25 days ago


Job description

In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity-not just answers-in all areas of business. We embrace diverse backgrounds and global perspectives, and we cultivate diversity by respecting, including, and valuing one another. As part of One team, One Kroll, you'll contribute to a supportive and collaborative work environment that empowers you to excel. 

A true partner within the business, our IT team works globally as one cohesive unit comprised of collaborative professionals who take pride in support and customer service. Core areas include solutions delivery and application development, network operations, workforce services and information services/knowledge management

At Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll. 

Day to Day Responsibilities: 

  • The Senior Database Manager/Lead will be assigned to work with one or more development project teams. In this role they will be expected to:
  • The Senior Database Lead will be responsible for building, supporting and managing Database solutions within Amazon AWS, Microsoft Azure, and other Cloud environments.
  • Working on Data related technologies including but not limited to Databricks, Datalake, Azure Data Factory, Azure Synapse Analytics, Azure Fabric, AWS Athena, AWS Glue, and other related services.
  • Working with the Solutions Designer, Development Architect and third parties as appropriate, the engineer will be responsible for ensuring that a technical design document describing the technical architecture for the program/project is produced.
  • Understand the business and application requirements and translate into a database and data design.
  • Ensure that all technology selected for the program conforms to the organization's technical long-term strategy.
  • Be responsible for the availability, stability, recoverability and performance of the database environment by ensuring all systems are monitored, patched, and operating optimally. 
  • Design and develop complex SQL queries and appropriate database code such as stored procedures, triggers, functions to support complex business processes.
  • Develop and deliver extensible/sustainable/quality database solutions based on defined business needs.
  • Review and update stored procedures for optimal performance. Identify and correct performance bottlenecks related to SQL code.
  • Recommend changes to the relational data model to solve performance issues with SQL code. Requires a solid understanding of relational database design and concepts.
  • Perform code reviews, providing feedback in a timely manner. Incorporate feedback from code reviews as appropriate.
  • Participate in the review of all database schema projects; provide feedback and identify impacts to existing environment.
  • Monitor business data stored in production databases, ensuring integrity of the data is maintained.
  • Responsible for developing, maintaining and deploying SSIS packages.
  • Guide team and participate in release of all stored procedure projects; including release documentation.
  • Maintain knowledge as new versions of SQL Server are released and leverage new functionality as appropriate.
  • Proactively identify and act on opportunities to improve database systems and processes.
  • Contribute to standards documentation for database coding practices.
  • Prioritize multiple tasks so that aggressive deadlines are met.
  • Provide ongoing suggestions for improvement and innovation within the department.
  • Exhibit sound, methodical engineering judgment, and effectively manage trade-offs in a business environment.
  • Maintain and exhibit knowledge of AWS RDS, Azure SQL and NOSQL database
  • Provide after-hours support as required to address system outages and perform system updates/upgrades/modifications.
  • Identify new processes or modify existing processes to improve efficiencies in the support and monitoring of the department's production applications. 

Essential Traits:

  • B.S. Degree in Information Technology, Computer Science or a related discipline is preferred.
  • MCDBA/Azure/AWS Certification preferred.
  • 5-8 years of experience in database development and support in MS SQL Server environment.
  • 3+ years working experience in deploying physical and cloud instances of SQL Server. 
  • 2+ year of working with PostgreSQL.
  • Working Knowledge of Databricks administration and Datalake, is a plus. 
  • Working knowledge of noSQL database technology. (Mongo, Cosmos, Others)
  • 3+ years of experience in scripting language like Powershell, VB Script, Python, or similar.
  • Strong understanding of Security guidelines in Cloud environment.
  • Open to work on Infrastructure projects and assist on Environment buildouts from Database and Data Analytics perspective.
  • Experience in troubleshooting and resolving database integrity issues, performance issues, blocking & deadlocking issues, replication/log shipping issues, network/connectivity issues, security issues, etc.
  • Experience in Performance Tuning, Query Optimization using SQL Monitor, Azure Tools
  • Ability to detect and troubleshoot SQL Server related hardware resource contention such as CPU, memory, disk IO, etc.
  • Solid acquaintance with windows server, security models, and storage components such as SAN.
  • Knowledge of High Availability (HA) and Disaster Recovery (DR) options for SQL Server
  • Advanced experience with TSQL language and stored procedures, transactional replication, multi node clustering, mirroring, etc.
  • Knowledge of Data Warehousing and Column store databases.
  • A broad understanding of enterprise-class Database technologies
  • Extensive knowledge and experience with large scale client facing online systems
  • Extensive knowledge and experience with Amazon AWS technologies
  • Extensive knowledge and experience with Windows based technologies
  • Ability to communicate and to interact effectively with co-workers and customers is required.
  • Ability to work and adapt in a dynamic environment and recognize priority issues, escalating accordingly
  • Experience with creating standards and documentation
  • Ability to work both independently or as part of a project group, with time constraints
  • Strong customer service oriented; organizational and communication skills, positive and can-do attitude
  • A technical troubleshooting and prioritization skills test will be part of the interview process.

About Kroll

Join the global leader in risk and financial advisory solutions-Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore, and maximize our clients' value? Your journey begins with Kroll.

In order to be considered for a position, you must formally apply via careers.kroll.com. 

Kroll is committed to equal opportunity and diversity, and recruits people based on merit.

Salary range for this role is $100,000 - $150,000 CAD

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