🌍 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.

#OneTeamOneKeyrus

🎯 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

Note: All applications must be submitted in English.

💥 Your Impact

In this role, you will:

• 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

Nice-to-haves

• 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.