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For Companies At a Glance
- Tasks: Analyse and organise data to drive insights and support decision-making.
- Company: Keyrus, a global leader in Data Intelligence with a focus on sustainability.
- Benefits: Hybrid work model, competitive salary, medical insurance, and training opportunities.
- Why this job: Join a dynamic team and make a real impact through data-driven decisions.
- Qualifications: 5+ years in data analysis, strong SQL skills, and experience with complex datasets.
- Other info: Inclusive workplace that values diversity and offers excellent career growth.
The predicted salary is between 18000 - 36000 £ per year.
About Keyrus
Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective. Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities. Data is never the goal in itself. We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions. At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
The Role
As a Data Analyst - Validation, Reconciliation & Analytics (Snowflake / SQL), you will work at the intersection of data, technology, and business, helping our clients turn complexity into clarity and insights into impact. You will collaborate with multidisciplinary teams in an international environment and contribute to projects that drive performance, innovation, and sustainable growth.
Job location: Pune or Bangalore (Hybrid — 3 days per week in the office)
Contract type: Permanent
Target start date: February 2026 / March 2026
Working hours: Full-time (40h/week), aligned with the GMT timezone (starting at 1:00 PM IST)
Compensation: INR 15,00,000 – 30,00,000 per year
Your Impact
- Analyse and organise raw financial and transactional data to meet business needs and regulatory objectives.
- Perform data validation and reconciliation between source systems, Finbourne (LUSID), and downstream platforms.
- Develop, maintain, and optimise SQL queries and scripts, primarily on Snowflake and relational databases.
- Support trade lifecycle data analysis, including transactions, instruments, portfolios, and valuations.
- Identify data quality issues, inconsistencies, or gaps and collaborate with technical teams to resolve them.
- Work closely with business SMEs, BAs, and QA teams to ensure data accuracy and completeness.
- Support operational reporting and analytics, enabling business and operational decision-making.
- Contribute to defining data quality standards, controls, and reconciliation processes.
- Support investigations related to production data issues and provide insights for root cause analysis.
- Collaborate within Agile delivery teams, contributing to sprint activities and continuous improvement.
What Makes This Role Challenging
- You will work with complex, high-volume financial data in a production-critical environment.
- Data flows across multiple systems, requiring strong analytical thinking and attention to detail.
- You must balance accuracy, timeliness, and pragmatism.
- Close collaboration is required across technical and business teams, often under time pressure.
- As seniority grows, so does ownership of data quality and stakeholder trust.
What We’re Looking For
Must-haves- 5+ years of experience in data analysis, reporting, or data validation roles.
- Strong proficiency in SQL, with hands-on experience using Snowflake.
- Experience analysing large, complex datasets, ideally in financial or regulated environments.
- Solid understanding of data reconciliation and data quality controls.
- Ability to translate business requirements into data queries and insights.
- Experience collaborating with business stakeholders and technical teams.
- Strong analytical and problem-solving skills.
- Experience working in Agile environments.
- Fluency in English.
- Experience with financial systems, trade lifecycle, or investment data.
- Exposure to data analytics or visualisation tools.
- Experience working in consulting environments.
- Familiarity with cloud-based data platforms.
- Experience supporting production or operational data issues.
How Our Salary Ranges Work
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
- Bottom of the range: You meet the core requirements and will need ramp-up time and support.
- Middle of the range: You are fully autonomous from Day 1 and deliver consistently.
- Top of the range: You are a reference for the role, mentor others, and raise the bar for the team.
Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.
What We Offer
- Hybrid work model (3 days/week in office)
- 18 paid leaves + 9 public holidays
- ₹5L medical insurance + ₹10L accident insurance
- Competitive fixed salary with EPF & statutory benefits
- International consulting exposure with Keyrus clients
- Discretionary Bonus Scheme
- Referral Bonus Scheme
- Training & Development via KLX (Keyrus Learning Experience)
Why Keyrus?
Joining Keyrus means joining:
- A market leader in Data Intelligence
- A company where people, trust, and diversity are core values
- An environment that values ownership, flexibility, and innovation
- A place where different backgrounds and perspectives are not just welcomed — they are essential
We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus.
Equal Opportunity Statement
We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
Data Analyst Pune · employer: The Keyrus Group
Contact Detail:
The Keyrus Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Pune ·
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Keyrus on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on SQL and Snowflake. Get hands-on with some sample datasets and practice explaining your thought process. We want to see how you tackle real-world problems!
✨Tip Number 3
Show off your analytical skills during the interview. Bring examples of past projects where you turned complex data into actionable insights. This is your chance to shine and demonstrate your value!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Keyrus team.
We think you need these skills to ace Data Analyst Pune ·
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL and Snowflake, and don’t forget to mention any relevant projects that showcase your analytical skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how your background aligns with Keyrus's mission of making data matter.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data issues in the past. This will demonstrate your analytical thinking and ability to work under pressure, which are key for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at The Keyrus Group
✨Know Your SQL Inside Out
Since the role requires strong proficiency in SQL, make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with Snowflake and how you've used SQL to analyse large datasets. Practising common SQL queries and understanding data validation techniques will give you a solid edge.
✨Understand Data Quality Controls
Familiarise yourself with data reconciliation processes and quality controls. Be ready to share examples of how you've identified and resolved data quality issues in past roles. This shows that you not only understand the technical aspects but also appreciate their importance in a business context.
✨Showcase Your Analytical Thinking
Prepare to demonstrate your analytical and problem-solving skills during the interview. Think of specific instances where you've turned complex data into actionable insights. This will help the interviewers see your ability to translate business requirements into meaningful data analysis.
✨Collaborate Like a Pro
Since the role involves working closely with multidisciplinary teams, be ready to discuss your experience collaborating with both technical and business stakeholders. Highlight any Agile methodologies you've worked with, as this will show your adaptability and teamwork skills, which are crucial for success at Keyrus.
