Data Analyst Job in Coimbatore – Arcana (Hybrid Opportunity) – Hiring Now

Arcana

Coimbatore District

On-site

INR 600,000 - 800,000

Full time

14 days+

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Benefits offered by this job

Flexibility and work-life balance
Exposure to hedge funds and institutional investment analytics
Opportunity to grow in a fast-evolving FinTech environment

Job summary

Arcana is hiring a Data Analyst in Coimbatore, Tamil Nadu, offering a unique opportunity to work with cutting-edge portfolio intelligence systems used by global hedge funds. This hybrid, full-time role is designed for professionals passionate about data quality frameworks and analytics-driven decision-making.

The ideal candidate should possess a Bachelor’s degree in BCA, MCA, or Engineering, with expertise in SQL and Python, and at least one year of experience in data analytics.

Join Arcana to transform the financial analytics ecosystem while working alongside experienced professionals.

Qualifications

  • Strong knowledge of data quality, validation, and reconciliation techniques.
  • Bachelor’s degree in BCA, MCA, or Engineering with a minimum CGPA of 8+.
  • 1+ year of experience in SQL and Python.

Responsibilities

  • Analyse and manage large volumes of daily financial data.
  • Design and enhance data quality frameworks for accuracy.
  • Perform data validation, reconciliation, and continuous monitoring.

Skills

Data quality, validation, and reconciliation techniques
SQL (complex queries, joins, performance tuning)
Python for data analysis and scripting
Dashboarding tools (Power BI, Tableau)
Experience in large-scale or big data environments
Statistics for data monitoring and anomaly detection
Communication and stakeholder management skills
Managing and integrating multi-source datasets

Education

Bachelor’s degree in BCA, MCA, or Engineering

Tools

SQL
Python

Job description

Are you looking to build a high-impact career in data analytics, financial data, and big data environments? Arcana is hiring a Data Analyst in Coimbatore, Tamil Nadu, offering a unique opportunity to work with cutting-edge portfolio intelligence systems used by global hedge funds and asset managers.

This is a hybrid, full-time role designed for professionals who are passionate about working with large-scale datasets, data quality frameworks, and analytics-driven decision-making.

About Arcana

Arcana is an advanced portfolio intelligence platform that empowers institutional investors to analyse performance, risk, and financial data at scale. The company is redefining how hedge funds and asset managers interact with data by building smarter, faster, and more reliable analytical tools.

By joining Arcana, you will contribute to transforming the financial analytics ecosystem while working alongside experienced professionals in data science, analytics, and financial technology (FinTech).

Role Overview – Data Analyst

As a Data Analyst at Arcana, you will work with massive financial datasets (100TB+) covering over 100,000 global companies. Your primary focus will be on ensuring data accuracy, consistency, and quality while delivering actionable insights through dashboards and reports.

You will collaborate with cross-functional teams, resolve data issues, and support business decisions using SQL, Python, and statistical techniques.

Key Responsibilities
  • Analyse and manage large volumes of daily financial data
  • Design and enhance data quality frameworks to ensure accuracy and reliability
  • Perform data validation, reconciliation, and continuous monitoring
  • Identify and resolve Level 1 & Level 2 data quality issues, escalating complex problems when necessary
  • Use SQL and Python for data extraction, analysis, and automation
  • Build and maintain interactive dashboards and business reports
  • Work with big data environments (100TB+ datasets)
  • Apply statistical methods to detect anomalies and monitor data trends
  • Collaborate with internal teams and external stakeholders to deliver insights
  • Ensure seamless integration of data from multiple and diverse sources
Required Skills

To succeed in this Data Analyst role, you should have:

  • Strong knowledge of data quality, validation, and reconciliation techniques
  • Advanced proficiency in SQL (complex queries, joins, performance tuning)
  • Hands‑on experience with Python for data analysis and scripting
  • Familiarity with dashboarding tools such as Power BI, Tableau, or similar
  • Experience working in large-scale or big data environments
  • Solid understanding of statistics for data monitoring and anomaly detection
  • Excellent communication and stakeholder management skills
  • Ability to manage and integrate multi-source datasets
Qualifications
  • Bachelor’s degree in BCA, MCA, or Engineering
  • Minimum CGPA of 8+
  • 1+ year of experience in SQL and Python
  • Prior experience in Finance or FinTech is preferred
  • Exposure to financial datasets is an added advantage
Why Join Arcana?
  • Work on large-scale global financial datasets
  • Gain exposure to hedge funds and institutional investment analytics
  • Build expertise in data quality engineering and big data systems
  • Collaborate with high-performing teams in data science and analytics
  • Hybrid work model offering flexibility and work‑life balance
  • Opportunity to grow in a fast‑evolving FinTech environment
Location & Work Mode
  • Location: Coimbatore, Tamil Nadu, India
  • Work Mode: Hybrid
  • Employment Type: Full-Time
Who Should Apply?

This role is ideal for:

  • Early-career professionals with 1+ years of experience in data analytics
  • Candidates passionate about financial data and analytics
  • Individuals looking to strengthen their skills in SQL, Python, and big data
  • Analysts interested in data quality, validation, and reporting frameworks
How to Apply

If you are ready to work on high-volume financial datasets, solve complex data problems, and build impactful analytics solutions, this opportunity at Arcana is the perfect next step in your career.

Apply now and become part of a team that is transforming how financial data is analysed and utilized globally.

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