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Data Analyst Join a Leading Financial Giant

0.00 to 4.00 Years   Mumbai City,Bangalore, Noida, Hyderabad, Gurugram   31 Jan, 2025
Job LocationMumbai City,Bangalore, Noida, Hyderabad, Gurugram
EducationNot Mentioned
SalaryRs 5 - 12 Lakh/Yr
IndustryFinTech
Functional AreaFinance / Accounts / TaxInvestment Banking / M&A
EmploymentTypeFull-time

Job Description

    Job Posting: Data Analyst Join a Leading Financial GiantLocation:Work from homeJob Type:Full-timeExperience Level:Entry to Mid-LevelSalary:Competitive and commensurate with experienceAbout UsWe are a global financial powerhouse dedicated to transforming the financial services industry through data-driven innovation. Our organization leverages cutting-edge analytics to deliver impactful insights, enhance decision-making, and provide unparalleled services to our clients. As part of our team, you will be at the forefront of financial transformation, working with advanced tools and technologies to unlock the potential of big data.Role OverviewAs aData Analyst, you will play a pivotal role in analyzing complex financial data, uncovering patterns, and providing actionable insights to drive business decisions. This role offers significant growth opportunities and exposure to diverse projects, empowering you to shape the future of financial analytics.Key Responsibilities
    • Analyze large datasets to extract meaningful insights and support strategic business decisions.
    • Build and maintain dashboards and visualizations for real-time monitoring of key performance indicators (KPIs).
    • Collaborate with cross-functional teams, including finance, marketing, and technology, to understand data needs and deliver solutions.
    • Perform predictive and prescriptive analysis to identify trends and forecast outcomes.
    • Clean, transform, and integrate data from multiple sources for reporting and analytics.
    • Conduct exploratory data analysis (EDA) to identify opportunities and areas of improvement.
    • Prepare comprehensive reports and presentations to communicate findings to stakeholders.
    Required Skills and Qualifications
    • Educational Background:Bachelors/Masters degree in Data Analytics, Computer Science, Statistics, Finance, or a related field.
    • Technical Proficiency:
      • Proficiency in SQL for database querying and management.
      • Advanced knowledge of Python or R for data analysis and statistical modeling.
      • Expertise in data visualization tools like Tableau, Power BI, or QlikView.
      • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, or GCP) is a plus.
      • Knowledge of financial analytics tools like Bloomberg Terminal is an advantage.
    • Analytical Skills:Strong problem-solving capabilities and the ability to interpret complex data sets.
    • Communication Skills:Ability to present technical insights to non-technical stakeholders effectively.
    • Experience:0-5 years of experience in data analysis, preferably in the financial sector.
    Scope and Future with Us
    • Skill Development:Work with advanced analytics tools and financial systems to build expertise in cutting-edge technologies.
    • Career Growth:Clear pathways to progress into senior analyst, data scientist, or managerial roles.
    • Industry Impact:Contribute to key projects influencing financial markets and business strategies.
    • Global Exposure:Opportunity to work with international teams and handle cross-border projects.
    • Innovation Opportunities:Be part of a team leveraging AI and machine learning for predictive analytics in finance.
    What We Offer
    • Competitive compensation with performance bonuses.
    • Comprehensive benefits including health insurance, paid time off, and retirement plans.
    • Access to continuous learning programs, certifications, and workshops.
    • Dynamic and inclusive workplace culture fostering collaboration and innovation.
    • Exposure to projects that shape the financial industrys future.
    Why Join Us At our organization, you will:
    • Work with massive datasets that drive global financial decisions.
    • Be empowered to innovate and create data-driven strategies for top-tier clients.
    • Build a rewarding career in an environment that values growth and innovation.
    How to ApplyReady to make a difference in the world of finance Submit your resume and a cover letter detailing your experience and career aspirations.Take the next step in your career with us where data meets innovation!

Keyskills :
hadoopfinancial modelingpower biequity valuationfinancepythonfinancial analysisspss

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