Kroll Data Analyst – Operations Hiring 2026: Eligibility, Skills and Application
Kroll is seeking a Data Analyst – Operations for its Bangalore, India, team. The role supports operational reporting, business performance analysis, data quality, project coordination and resource planning across a global consulting practice.
This position is suited to professionals who enjoy using data to understand how a business operates and identify opportunities to improve efficiency. Rather than focusing exclusively on statistical modelling or advanced data science, the work combines reporting, analytical problem-solving and coordination with business teams.
Candidates with a bachelor’s degree in Business, Finance, Economics, Data Analytics or a related field, along with relevant early-career experience, can review the requirements below to assess their fit.
Kroll Data Analyst – Operations: Job Overview
| Detail | Information |
|---|---|
| Company | Kroll |
| Position | Data Analyst – Operations |
| Job ID | 21014254 |
| Location | Bangalore, Karnataka, India |
| Department | Operations |
| Experience required | 1–3 years |
| Educational qualification | Bachelor’s degree in Business, Finance, Economics, Data Analytics or a related field |
| Key skill | Advanced Excel |
| Reporting tools | Salesforce, Power BI or similar tools preferred |
| Work arrangement | Hybrid designation indicated in the listing; confirm the specific schedule |
| Salary | Not specified in the supplied description |
| Application deadline | Not specified in the supplied description |
About the Role
Kroll provides professional services across areas including risk advisory, financial services and cybersecurity. In this position, the Data Analyst supports service-line operations by helping teams maintain accurate information, monitor performance and coordinate day-to-day business activities.
Operational teams need dependable data to understand workload, project progress, resource availability and business performance. The analyst helps convert information held across business systems into reports and insights that leaders can use when making decisions.
For example, a team may need to understand whether its available resources can meet upcoming project demand. The analyst could help validate the underlying records, prepare utilization reports, identify capacity gaps and communicate the findings to relevant stakeholders.
This makes the role a combination of data analysis, reporting, business operations and process improvement.
Key Responsibilities
1. Operational reporting and KPI dashboards
The analyst will prepare and maintain reports, dashboards and key performance indicators (KPIs).
The listing identifies several reporting areas:
- Revenue and backlog.
- Sales pipeline.
- Resource utilization and capacity.
- Service delivery.
- Overall business performance.
The objective is to help stakeholders understand current performance and identify trends, risks or opportunities for improvement. The role also involves responding to ad hoc analytical requests from leadership and cross-functional teams.
2. Data validation and quality control
Accurate reporting depends on reliable underlying data. The analyst will validate records across business systems, conduct routine audits and identify inconsistencies or missing information.
For instance, if a resource-utilization report contains incomplete project assignments, the analyst may need to investigate the source records and escalate the issue before the information is used for planning.
The role also includes documenting business rules, reporting logic and operational procedures so that processes remain consistent.
3. Project and resource coordination
The position includes operational coordination alongside analysis. Responsibilities involve assisting with resource scheduling, tracking project information, maintaining records and following up on operational activities.
The analyst may also help monitor workload patterns and resource utilization across the practice. When bottlenecks or process gaps appear, they are expected to escalate the issue for resolution.
4. Collaboration across business functions
The analyst will work with Finance, Sales Operations and Delivery teams.
This requires the ability to explain findings clearly, organize information, manage competing requests and support operational planning. Analytical ability is important, but so is understanding what the data means to the people using it.
Eligibility Criteria
Candidates should check the following requirements before applying.
Educational qualification: A bachelor’s degree in Business, Finance, Economics, Data Analytics or a related field.
Relevant experience: One to three years in business operations, analytics, sales operations, project coordination or a similar role.
Excel proficiency: Advanced Excel skills and strong analytical capabilities are required.
Reporting tools: Experience with Salesforce, Power BI or similar reporting tools is preferred.
Professional skills: Strong attention to detail, organization, communication and the ability to manage multiple priorities in a fast-paced environment.
Industry interest: An interest in cybersecurity and professional services operations is expected.
The listing describes the opportunity as early-career, but the stated experience requirement is 1–3 years. Fresh graduates should not assume that the role is open to candidates with no experience unless Kroll confirms otherwise.
Skills to Focus on Before Applying
This role is best approached as an operations analytics position. Candidates should be able to explain how they turn raw business data into reliable reporting and useful recommendations.
Advanced Excel
Excel is a core requirement. Preparation should include:
- PivotTables and PivotCharts.
- Lookup functions such as XLOOKUP and INDEX/MATCH.
- SUMIFS, COUNTIFS and conditional calculations.
- Data cleaning, sorting, filtering and duplicate detection.
- Conditional formatting and data validation.
- Building clear operational summaries and dashboards.
Candidates should practise with realistic business data rather than only reviewing individual formulas. For example, they could analyse monthly workload, compare planned and actual utilization, and highlight records that need investigation.
Power BI and dashboard reporting
Power BI or a similar reporting tool is preferred. Useful preparation includes understanding how to import data, clean it, define relationships, build measures and present KPIs through charts and tables.
A dashboard should help answer a business question. Simply adding many charts does not make a report useful; the analyst should be able to explain what each metric measures and what action a stakeholder might take based on it.
Salesforce and business systems
Salesforce is mentioned as a preferred tool. Candidates with experience using CRM systems should be ready to describe how business records are maintained and how reporting depends on the accuracy of those records.
If you have not used Salesforce, do not claim hands-on experience. Instead, understand the general purpose of CRM data and highlight comparable tools or systems you have actually worked with.
Analytical thinking and data quality
A good analyst checks whether a result makes sense before sharing it. Relevant skills include identifying missing values, detecting duplicates, reconciling totals, tracing inconsistent records and documenting assumptions.
These practices are particularly useful when reports inform resource planning, forecasts or leadership decisions.
Practical Project Idea for Your Resume
A relevant portfolio project would be an Operations Performance Dashboard built using Excel or Power BI.
You could create a sample dataset containing project names, monthly revenue, project backlog, planned capacity and actual utilization. Use the dataset to build a dashboard that answers questions such as:
- Which projects have the highest backlog?
- How does utilization change from month to month?
- Where does planned capacity differ from actual workload?
- Which records are incomplete or inconsistent?
- What operational issues should a manager investigate?
Include a short explanation of the data-cleaning process, the KPI definitions and the conclusions drawn from the analysis.
Use clearly labelled sample or synthetic data rather than confidential information from a current or former employer. This project is a preparation suggestion, not a requirement stated by Kroll.
How to Prepare for the Interview
The supplied description does not specify the interview stages. However, candidates can prepare around the responsibilities of the role.
Excel assessment: Practise cleaning a dataset, using lookup and conditional aggregation functions, building a PivotTable and summarizing findings.
Dashboard discussion: Be prepared to explain why you selected particular KPIs, how you validated the source data and how a stakeholder would use the dashboard.
Data-quality scenario: Think through how you would handle missing records, duplicate entries or a mismatch between two business reports.
Business analysis: Practise explaining what a change in backlog, revenue or utilization might indicate, while avoiding conclusions that the data cannot support.
Stakeholder communication: Prepare an example of how you explained an analytical finding, coordinated with another team or resolved an information gap.
Prior experience: Since the role asks for 1–3 years of relevant experience, describe your actual responsibilities, tools used and measurable contributions where you can substantiate them.
Career Growth Potential
The listing indicates that the position can suit someone interested in progressing into broader Operations and Strategy roles over time.
The experience gained may help a professional develop capabilities in business performance reporting, resource planning, operational governance, stakeholder management and process improvement.
Progression will depend on performance, available opportunities and the individual’s development. The supplied description does not guarantee a particular promotion path or timeline.
Frequently Asked Questions
1. What is the job ID for Kroll Data Analyst – Operations?
The job ID provided in the listing is 21014254.
2. Where is this position located?
The role is based in Bangalore, Karnataka, India.
3. Is this job suitable for freshers?
The description requires 1–3 years of experience in business operations, analytics, sales operations, project coordination or a similar role. It should therefore not be presented as a fresher-only opportunity.
4. Which educational qualifications are accepted?
The listing specifies a bachelor’s degree in Business, Finance, Economics, Data Analytics or a related field.
5. Is Power BI mandatory?
The listing says experience with Salesforce, Power BI or similar reporting tools is preferred. Advanced Excel and analytical skills are explicitly required.
6. Is SQL required?
SQL is not explicitly mentioned in the supplied job description. Candidates should check the official listing or confirm with the recruiter before treating it as a mandatory requirement.
7. What is the salary for this role?
The supplied description does not specify compensation. Candidates should confirm salary and benefits through Kroll’s official recruitment process.
8. What is the application deadline?
No deadline is included in the supplied description. Refer to the official careers page for the current vacancy status.